CGO Media Buyer Guidance · SEO · GEO · AI Search

Choosing an SEO, AI & GEO Agency Requires Better Questions

Choosing an SEO, GEO & AI agency has never been simply a matter of comparing proposals, retainers and promises. The growth of AI-mediated search has made the decision more complex.

Businesses and organisations are now being offered SEO, AI SEO, Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI Search optimisation and AI visibility services, often without a clear explanation of where one discipline ends and another begins.

The terminology matters less than the capability behind it.

A credible agency should be able to explain how it measures performance across traditional search and AI-mediated discovery, how technical problems are diagnosed, how competitors are evaluated, how entity and authority signals are developed and how search visibility connects with meaningful commercial outcomes.

It should also be prepared to explain what it cannot control.

The Central Principle

Don’t ask an SEO, AI or GEO agency only what it can do. Ask it to show you how it does it.

Claims about rankings, AI visibility, GEO capability, entity authority or commercial performance become meaningful only when an agency can explain the methodology, demonstrate the measurement and show how those capabilities would be applied to your organisation.

Why These Questions Matter

The search environment is changing. Google continues to operate as a conventional search engine while also incorporating AI-generated experiences such as AI Overviews and AI Mode. At the same time, users increasingly discover organisations, products, services and information through systems including ChatGPT, Gemini, Microsoft Copilot and Perplexity.

That does not make traditional SEO obsolete. Technical accessibility, crawling, indexation, site architecture, content quality, internal linking, authority, structured information and conversion performance remain fundamental.

What has changed is the environment in which those foundations operate.

Organisations increasingly need to understand not only whether they rank, but whether they are being discovered, understood, retrieved, cited, compared and recommended across search and AI systems.

An agency selling GEO or AI Search services should therefore be able to demonstrate capabilities that extend beyond adding new terminology to an existing SEO package.

What This Guide Is Designed to Test

The 13 questions are designed to move an agency evaluation away from broad claims and towards evidence, methodology, measurement, technical competence, commercial accountability, transparency and delivery experience.

What You Should Expect From a Serious SEO, AI & GEO Agency

No agency will have identical processes, technology or reporting. Different organisations also require different levels of technical, content, authority and AI Search support.

However, a serious SEO and GEO partner should be able to demonstrate several underlying characteristics.

Evidence

Important claims should be supported by methodology, reporting, analysis or demonstrable experience rather than sales language alone.

Transparency

The agency should explain what it measures, what it does, what is included in the scope and where uncertainty remains.

Technical Capability

Technical problems should be diagnosed, prioritised, implemented and validated rather than simply exported from an automated audit tool.

AI Search Capability

GEO should include identifiable AI visibility measurement, citation analysis, source analysis, entity evaluation and competitive intelligence.

Commercial Accountability

Rankings, impressions and AI mentions should be interpreted alongside enquiries, qualified leads, conversions or revenue where reliable measurement is available.

Senior Expertise

The expertise presented during the appointment process should remain connected to strategy, analysis, decision-making and delivery.

CGO Media Interpretation

The objective is not to find an agency that has the most impressive terminology or the largest number of tools. It is to identify a partner that can explain how search visibility is created, how performance is measured, how decisions are made and how the work contributes to the organisation’s wider objectives.

Question 1 of 13 · AI Search Measurement

Which AI Platforms Do You Track, How Often, and With Which Tools?

An agency offering GEO or AI Search services should be able to explain exactly how it measures visibility across AI-mediated search environments.

Simply saying that a brand is being “optimised for ChatGPT” is not a measurement methodology.

The agency should be able to identify the platforms being monitored, the prompts or query groups being tested, the frequency of measurement, the competitors being compared and the tools or processes used to collect and interpret the results.

Why This Question Matters

AI visibility is not one universal metric.

ChatGPT, Google AI Overviews, AI Mode, Gemini, Microsoft Copilot and Perplexity operate in different environments and may retrieve, interpret, cite and present information differently.

Results can also vary according to the wording of a question, the subject being researched, location, platform changes and the information sources available to the system.

That makes occasional manual searches insufficient as a serious measurement framework.

A useful AI visibility programme needs a repeatable methodology that can show whether an organisation’s presence is strengthening or weakening across commercially relevant questions over time.

The Measurement Principle

AI visibility should be measured as a pattern, not demonstrated with a screenshot.

A useful methodology repeatedly tests defined questions, records which organisations appear, distinguishes between different forms of visibility and compares those results with competitors over time.

What a Strong Answer Looks Like

A strong agency answer should explain the measurement system rather than simply list the software it uses.

Platform Coverage

The agency can identify which AI and generative search environments it monitors and why those platforms matter to the organisation.

Defined Prompt Sets

Measurement uses defined commercial, informational, comparison and recommendation questions rather than prompts selected after a favourable result appears.

Consistent Frequency

Tests are repeated on a defined schedule so changes can be observed across meaningful periods rather than isolated sessions.

Competitor Measurement

The organisation is evaluated against relevant competitors to establish who is winning visibility when the organisation itself is absent.

Source & Citation Analysis

The agency examines which sources support AI answers and distinguishes between being mentioned, being used as a source and being explicitly cited.

Human Validation

Automated visibility data is interpreted by people who understand the business, the queries being tested and the limitations of the measurement technology.

Red Flags to Watch For

  • The agency talks about “optimising for ChatGPT” but cannot explain how visibility is measured.
  • AI performance is reduced to one unexplained proprietary score.
  • There is no defined prompt or query set.
  • Competitor visibility is not measured.
  • Screenshots are presented as evidence of sustained AI performance.
  • Brand mentions, citations and recommendations are treated as if they mean the same thing.
  • The agency claims that it can directly control or guarantee inclusion within AI-generated answers.

The CGO Media Approach

CGO Media treats AI visibility as a multi-platform measurement problem rather than a single ranking metric.

Depending on the organisation, market and research requirement, monitoring can include ChatGPT, Google AI Overviews and AI Mode, Gemini, Microsoft Copilot and Perplexity, while emerging search and answer environments are reviewed as their relevance develops.

Measurement is built around controlled prompt sets and topic groups that reflect the ways users may research services, compare providers, investigate organisations or ask for recommendations.

The analysis can include brand visibility, citations, source domains, competitor visibility, share of voice, comparison inclusion and recommendation presence. Where appropriate, this is interpreted alongside conventional search data from systems such as Google Search Console, analytics, technical crawling and server logs.

CGO Media does not treat a single vendor’s AI visibility score as definitive. The objective is to understand the broader pattern: whether an organisation is increasingly being discovered, understood, retrieved, cited, compared and recommended across relevant search environments.

The Test

Ask the agency to show you how its AI visibility measurement actually works.

Which platforms are tracked? Which prompts are tested? How frequently? Which competitors are included? What counts as a mention, citation or recommendation? If those questions cannot be answered clearly, the agency may be selling GEO before it has developed a reliable way to measure it.

Question 2 of 13 · Reporting & Transparency

Can I See a Redacted or Anonymised Monthly Report From a Client in My Industry?

Reporting is one of the clearest ways to understand how an agency thinks.

Before appointing an SEO or GEO agency, ask to see how it would communicate performance once the engagement begins. That does not mean the agency should hand over confidential information belonging to another client.

A responsible agency may refuse to distribute an existing client’s report even after names and obvious identifiers have been removed. Commercial performance, competitor information, strategic priorities and recommendations can still be sensitive.

It should, however, be capable of showing an anonymised, representative or demonstration version of the reporting structure you would receive.

Why This Question Matters

Reports reveal what an agency considers important.

If a monthly report consists mainly of keyword movements, impression charts and a list of completed tasks, that tells you something about how the programme is likely to be managed.

A useful report should provide context. It should explain what changed, why the change matters, what appears to be driving performance and what should happen next.

Where reliable tracking is available, reporting should also move beyond visibility into enquiries, qualified leads, conversions, revenue or other outcomes relevant to the organisation.

If GEO or AI Search is part of the engagement, the report should make that work visible too.

The Reporting Principle

A good report should tell you what changed, why it matters and what happens next.

Reporting should help an organisation make decisions. Charts and metrics are evidence inputs; the value comes from interpreting them and connecting the findings with the next priorities.

What a Strong Answer Looks Like

A strong agency should be able to demonstrate the structure of its reporting without compromising another client’s confidentiality.

Executive Summary

A concise interpretation of performance, important developments, risks and priorities rather than forcing decision-makers to interpret every chart themselves.

Search Performance

Appropriate visibility, ranking, impression, click, landing-page and organic performance data with enough context to understand what has changed.

AI Visibility

Where GEO is included, reporting should show relevant AI visibility, prompt coverage, mentions, citations, source behaviour and recommendation or comparison presence.

Competitor Context

Performance should be interpreted against relevant competitors so the organisation can understand whether market visibility is actually improving.

Commercial Outcomes

Where reliable data exists, reporting should connect search activity with enquiries, qualified leads, conversions, revenue or other meaningful business outcomes.

Next Actions

The report should finish with clear priorities, recommended actions and the reasoning behind the next phase of work.

Confidentiality Is Not a Red Flag

An agency refusing to send you another client’s report is not necessarily avoiding scrutiny. It may be demonstrating appropriate confidentiality.

The better question is whether it can demonstrate its reporting methodology through a representative example, anonymised dataset or live demonstration without exposing another organisation’s commercially sensitive information.

Red Flags to Watch For

  • The agency cannot show any example of how it reports before you sign.
  • Reports consist largely of automated charts with little interpretation.
  • Only positive ranking movements are highlighted.
  • Completed activities are presented as if they were business outcomes.
  • AI performance is represented mainly through screenshots.
  • There is no competitor context.
  • Commercial outcomes are ignored even where reliable conversion data is available.
  • The agency appears too willing to share another client’s sensitive information.

The CGO Media Approach

CGO Media does not believe that another client’s confidential reporting should be circulated simply to help win a new account.

Client reports can contain commercially sensitive performance data, strategic priorities, competitive intelligence, technical findings and recommendations even when the company name has been removed.

Instead, we can demonstrate a representative or anonymised reporting structure showing the type of measurement, interpretation and strategic analysis that would be used.

Depending on the programme, reporting can combine organic search performance, technical SEO, content and authority development, competitor movement, conversion data and AI Search visibility.

Where GEO forms part of the engagement, this can include defined prompt coverage, brand visibility, citations, source analysis, competitor share of voice, comparison presence and recommendation visibility.

The objective is not to produce the largest possible report. It is to give decision-makers enough evidence to understand what changed, why it matters and what CGO Media recommends doing next.

The Test

Ask to see how the agency reports before you appoint it.

You do not need another client’s confidential data. You do need enough evidence to understand which metrics will be reported, how they will be interpreted and whether the reporting will help you make better decisions.

Question 3 of 13 · Commercial Measurement

Which Metrics Do You Treat as Success — Rankings and Impressions, or Enquiries and Revenue?

Rankings and impressions matter. They can show whether an organisation is becoming more visible for relevant searches and whether search engines are increasingly surfacing its content.

But visibility is not automatically commercial success.

A website can gain rankings, impressions and traffic while generating very little additional business. Equally, a smaller increase in highly relevant search visibility can sometimes produce substantially greater commercial value.

The same principle applies to AI Search. Being mentioned by an AI platform may be interesting, but the importance of that visibility depends on the context, the query, the type of appearance and whether it contributes to the organisation’s wider objectives.

Why This Question Matters

SEO reporting can become misleading when activity and visibility metrics are treated as final outcomes.

An agency may report that hundreds of keywords improved, impressions increased substantially or organic sessions reached a new high. Those developments can be positive, but they do not answer the most important commercial question:

Did the additional visibility contribute to more of the outcomes the organisation actually values?

For a lead-generation business, that may mean enquiries and qualified opportunities. For ecommerce, it may mean transactions, revenue and customer acquisition. For another organisation, the objective could involve registrations, applications, appointments, downloads, subscriptions or another defined conversion.

The appropriate commercial metric will differ between organisations. The important point is that the agency understands the difference between search visibility and business performance.

The Measurement Chain

Search performance should be evaluated across the journey from visibility to commercial outcome.

Visibility →
Engagement →
Enquiries →
Qualified Leads →
Conversions →
Revenue

What a Strong Answer Looks Like

A strong answer does not dismiss rankings or impressions. It explains where they sit within a broader measurement framework.

Visibility

Rankings, impressions, search visibility and relevant AI appearances help establish whether the organisation is becoming easier to discover.

Engagement

Clicks, landing-page behaviour and other engagement indicators help show whether increased visibility is attracting the intended audience.

Enquiries

Calls, forms, bookings, applications and other enquiries indicate whether search visibility is producing measurable commercial actions.

Qualified Leads

Lead quality matters. A larger number of irrelevant enquiries may be less valuable than a smaller number of commercially relevant opportunities.

Conversions

The agency should understand which actions represent genuine conversion events and how reliably those outcomes can be attributed.

Revenue

Where suitable data is available, search performance can ultimately be evaluated against revenue, pipeline value or another financial measure.

Rankings Still Matter — They Are Just Not the Entire Outcome

Rankings can be valuable leading indicators. So can impressions, clicks, organic visibility, AI citations and competitor share of voice.

The problem begins when an agency reports an improvement in a leading indicator as if it automatically proves commercial success.

Red Flags to Watch For

  • Success is defined mainly by the number of keywords ranking.
  • Large impression increases are celebrated without examining whether the searches are relevant.
  • Traffic growth is reported without conversion or lead-quality analysis where that data is available.
  • Branded and non-branded search performance are combined in ways that obscure what actually changed.
  • AI mentions are reported as success without distinguishing between a mention, citation, comparison or recommendation.
  • The agency makes no attempt to connect search activity with CRM, ecommerce, call or revenue data where appropriate access exists.
  • The definition of success appears to change according to whichever metric improved that month.

The CGO Media Approach

CGO Media treats rankings, impressions, organic visibility and AI visibility as important indicators, but not automatically as the final measure of success.

Where reliable tracking allows it, commercial performance should be evaluated through enquiries, qualified leads, conversions, revenue or the equivalent outcome relevant to the organisation.

The objective is to understand the complete relationship between visibility and value:

Visibility → Engagement → Enquiries → Qualified Leads → Conversions → Revenue

AI-mediated discovery adds another layer to that analysis. A user may encounter an organisation inside an AI-generated answer without producing an immediately attributable organic click.

For that reason, GEO measurement can also examine whether the organisation is being retrieved, cited, compared and recommended across relevant AI Search environments.

The purpose of the measurement framework is not to undervalue visibility metrics. It is to understand where those metrics sit within the wider objective of generating sustainable business growth and measurable organisational value.

The Test

Ask what happens after your rankings improve.

How will the agency determine whether additional visibility produced better enquiries, stronger leads, more conversions or greater commercial value? If the measurement framework stops at rankings and impressions, the agency may be measuring search activity rather than business performance.

Question 4 of 13 · Guarantees & Accountability

Do You Guarantee Rankings or AI Placements?

The strongest answer to this question is usually no.

An SEO agency does not control Google’s organic search results. A GEO agency does not control which organisations, sources or citations an independent AI platform chooses when constructing an answer.

Agencies can influence the conditions that contribute to visibility. They can improve technical accessibility, information architecture, content quality, entity clarity, external evidence, authority, structured information and citation eligibility.

What they cannot responsibly do is promise a final position or AI recommendation that is ultimately determined by another company’s search or AI system.

The Guarantee Principle

An agency should be accountable for its work without pretending that it controls the platform.

A serious agency can commit to the quality of its research, implementation, measurement, reporting and strategic decisions. It should not guarantee an organic ranking, AI citation or recommendation that an independent system ultimately decides.

Why This Question Matters

Guarantees are attractive because they appear to remove uncertainty from the buying decision.

Search does not work that way.

Organic rankings can change because of algorithm updates, competitor activity, technical changes, content developments, authority signals, search intent and many other factors outside an agency’s direct control.

AI-mediated search introduces additional uncertainty. Different systems may use different retrieval methods, sources, models and answer-construction processes. Outputs may also change as underlying information, platforms and models evolve.

The relevant distinction is therefore between what an agency can control, what it can influence and what remains under platform control.

What an Agency Can Control

  • Research and analysis
  • Technical recommendations
  • Content production
  • Implementation within its scope
  • Measurement methodology
  • Reporting and prioritisation

What an Agency Can Influence

  • Search visibility
  • Crawl and indexation efficiency
  • Entity clarity
  • Authority signals
  • Citation eligibility
  • Competitive positioning

What Platforms Control

  • Final organic rankings
  • AI retrieval decisions
  • Citation selection
  • Source selection
  • Generated answers
  • Recommendations

Accountability Is Different From a Guarantee

Rejecting ranking guarantees should not give an agency permission to avoid accountability.

The agency should still establish a baseline, define objectives, explain the work being undertaken, measure progress and adapt the strategy when the evidence shows that performance is not developing as expected.

What a Strong Answer Looks Like

A strong agency should reject artificial certainty while still being clear about what it is prepared to commit to.

  • It does not guarantee a number-one organic ranking.
  • It does not guarantee first-page visibility for a commercially important query.
  • It does not guarantee that ChatGPT, Gemini, Copilot, Perplexity or another AI system will cite or recommend the organisation.
  • It explains which factors it can directly control.
  • It identifies the areas it can reasonably influence.
  • It establishes measurable objectives and baselines.
  • It reports transparently when performance does not develop as expected.
  • It changes priorities when evidence supports a different approach.

Red Flags to Watch For

  • “We guarantee first-page Google rankings.”
  • “We guarantee a number-one position.”
  • “We can guarantee that your company will appear in ChatGPT.”
  • “We will get your business recommended by AI within a fixed number of weeks.”
  • The guarantee applies mainly to obscure or commercially irrelevant queries.
  • The agency cannot distinguish between what it controls and what the search or AI platform controls.
  • The sales promise is considerably more precise than the agency’s measurement methodology.

The CGO Media Approach

CGO Media does not guarantee first-page rankings, number-one Google positions, AI citations or AI recommendations.

Instead, the starting point is to establish the organisation’s current search and AI visibility and identify the factors that appear to be limiting performance.

Depending on the programme, work may involve technical foundations, information architecture, content quality, entity clarity, structured information, external evidence, source authority, citation eligibility and competitive visibility.

Those areas can be researched, improved and measured.

For GEO, the objective is to improve the information environment surrounding the organisation and increase the probability that it can be discovered, understood, retrieved, cited, compared and recommended across relevant AI-mediated search environments.

What CGO Media can commit to is an evidence-led process, transparent measurement, accountable execution and a willingness to change direction when the data shows that a different approach is required.

The Test

Ask the agency how it can guarantee an outcome controlled by an independent platform.

If it guarantees a ranking, citation or AI recommendation, ask what mechanism gives it control over Google’s ranking systems or an AI platform’s retrieval and answer-selection process. A credible agency should be able to explain the limits of its influence as clearly as it explains the potential of its work.

Question 5 of 13 · AI Visibility & Competitive Intelligence

Can I See a Live AI Visibility Dashboard — Not a Screenshot — and a Competitor Share-of-Voice View?

A screenshot can prove that an organisation appeared in one AI-generated answer at one moment in time.

It cannot demonstrate sustained AI visibility.

It also tells you very little about competitors. A brand may appear occasionally while several competing organisations are being surfaced far more consistently across the questions that matter commercially.

An agency selling GEO should therefore be able to demonstrate how AI visibility is measured systematically and how your performance is compared with other organisations competing for the same discovery opportunities.

Why This Question Matters

AI-generated answers are dynamic. Results can vary according to the platform, wording of the prompt, location, available sources, model changes and the time at which the question is asked.

That makes isolated appearances difficult to interpret.

The more useful question is whether an organisation appears consistently across a representative set of commercially relevant prompts and how frequently that happens relative to competitors.

Competitive measurement is particularly important because an organisation’s absence is itself incomplete information. You also need to know who appeared instead.

The Competitive Visibility Principle

Don’t only ask “Are we visible in AI?” Ask “Who is more visible than us, where are they appearing, and why?”

AI visibility becomes more useful when it is measured comparatively. The objective is to understand not only whether your organisation appears, but which competitors repeatedly occupy the citations, comparisons and recommendations that you do not.

What a Strong AI Visibility Dashboard Should Help You Understand

The exact interface will vary according to the technology being used. The important issue is not the appearance of the dashboard but the quality and consistency of the underlying measurement.

Brand Visibility

How frequently does the organisation appear across the defined questions, topics and AI platforms being monitored?

Competitor Share of Voice

Which competitors appear most frequently and how does the organisation’s visibility compare across the monitored prompt set?

Citation Visibility

Is the organisation simply mentioned, or is its website, research or other material being explicitly used or cited as a source?

Source Analysis

Which websites, publications, datasets or other sources repeatedly support answers within the subject area?

Prompt Coverage

Which informational, commercial, comparison and recommendation questions are being monitored and where are the most important visibility gaps?

Trend Measurement

Is visibility strengthening, weakening or remaining broadly unchanged when comparable measurements are repeated over time?

“Live Dashboard” Should Not Mean “Perfect Real-Time Truth”

AI visibility technology is still developing. Different tools can use different prompt sets, collection methods, platforms and scoring systems.

A dashboard should therefore be treated as a structured measurement environment, not as a perfect representation of every answer every user will receive. A serious agency should be prepared to explain those limitations.

Red Flags to Watch For

  • The agency relies mainly on screenshots of favourable AI answers.
  • There is no defined competitor set.
  • AI visibility is reduced to one score without a clear explanation of how it is calculated.
  • Brand mentions and source citations are treated as the same measurement.
  • There is no historical or repeat measurement.
  • Prompts appear to have been selected after the agency found favourable results.
  • The agency can display a dashboard but cannot explain how the data should influence strategy.

The CGO Media Approach

CGO Media can demonstrate AI visibility and competitor share-of-voice reporting within a live reporting environment without exposing confidential client information.

Depending on the programme and available measurement technology, the analysis can include AI visibility, brand mentions, citations, source visibility, prompt coverage, competitor visibility, platform-level performance and changes over time.

Competitor analysis is central to that process.

If a competitor is consistently appearing where the organisation is absent, the next question is why. That can lead to investigation of differences in entity clarity, content evidence, external authority, source coverage, citation eligibility and the wider information environment surrounding each organisation.

This changes AI monitoring from a reporting exercise into a research and prioritisation tool.

QuestionWhat We Investigate
Who is appearing?The brands, organisations and sources repeatedly surfaced across the monitored questions.
Where are they appearing?The platforms, prompts, topic groups, comparisons and recommendation scenarios in which competitors gain visibility.
How are they appearing?Whether they are mentioned, cited as a source, included in comparisons or explicitly recommended.
What supports them?The first-party and external evidence, source authority, entity signals and information environments associated with their visibility.
What should change?The evidence, content, authority, entity or technical gaps that should be prioritised based on the competitive findings.

AI visibility should also remain separate from commercial performance measurement. It can be interpreted alongside analytics, Google Search Console, conversion information and CRM data where available, rather than being treated as a replacement for them.

The Test

Ask the agency to show you who is winning when your organisation is not.

A serious GEO measurement system should do more than find your best AI appearance. It should help identify which competitors are consistently more visible, which questions they are winning, how they are appearing and what evidence may be contributing to that advantage.

Question 6 of 13 · Technical SEO

Walk Me Through a Recent Technical Audit — What Did You Find, What Did You Fix, and What Changed?

Almost any SEO platform can crawl a website and produce a long list of warnings.

That does not make the output a useful technical SEO audit.

The real skill lies in determining which findings genuinely affect crawling, indexation, rendering, internal authority, page performance or search visibility — and which are low-priority technical noise.

Asking an agency to walk through a recent audit forces the conversation beyond software and into diagnosis, prioritisation, implementation and validation.

The Technical Audit Principle

Finding an issue is only the beginning. A serious technical audit should explain why it matters, what should change and how the result will be validated.

The value of an audit is not determined by how many errors it contains. It is determined by whether it identifies meaningful constraints and turns those findings into prioritised, implementable improvements.

Why This Question Matters

Technical SEO audits can easily create the appearance of complexity.

A crawler may identify hundreds or thousands of URLs with warnings, but the number of reported issues tells you very little about their actual importance.

Ten structural problems affecting important templates can matter far more than thousands of low-value warnings affecting URLs that have little or no search significance.

A technical specialist therefore needs to interpret the website as a system: how search engines discover URLs, how internal authority moves through the site, which pages can be indexed, how canonicalisation is handled, how content is rendered and whether search engines are spending resources on the right areas.

The audit should ultimately lead to decisions, not simply a larger spreadsheet.

What a Strong Technical Audit Process Looks Like

StageWhat Should Happen
1. DiagnoseUse crawl data, Google Search Console, page inspection, server evidence and other relevant sources to identify genuine technical constraints.
2. PrioritiseSeparate high-impact structural problems from low-priority warnings and assess scale, dependency, effort and implementation risk.
3. ImplementMake the changes directly where appropriate or provide developers with clear requirements, affected templates and expected behaviour.
4. ValidateRe-crawl, inspect, test and confirm that the intended technical change has actually been implemented correctly.
5. MeasureAssess whether crawling, indexation, performance, visibility or the relevant technical outcome changed after implementation.

Ask the Agency to Explain the Complete Chain

What Was Wrong → Why It Mattered → What Changed → How the Fix Was Validated → What Happened Afterwards

What a Strong Answer Looks Like

The agency should be able to discuss a technical problem in specific terms without revealing confidential information about another client.

The Problem

It can clearly explain what was technically wrong and how the issue was identified.

The Impact

It can explain why the issue mattered to crawling, indexation, rendering, performance, internal authority or another relevant search process.

The Priority

It can explain why the issue was prioritised ahead of other findings and what dependencies or risks were considered.

The Fix

It can describe what was changed rather than simply saying that the issue was “optimised”.

The Validation

It re-tested the implementation to confirm that the technical problem had genuinely been resolved.

The Outcome

Where measurable, it can explain what changed afterwards without overstating causation or claiming that one technical fix explains every subsequent performance movement.

Red Flags to Watch For

  • An automated crawler export is presented as the completed technical audit.
  • Almost every issue is labelled critical or high priority.
  • The agency cannot explain the search impact of its recommendations.
  • Developers receive vague instructions rather than clear implementation requirements.
  • There is no technical QA after changes are deployed.
  • Issues are marked “fixed” without being re-crawled or re-tested.
  • The agency cannot explain what changed after implementation.
  • A perfect score in an SEO auditing tool is presented as the objective of technical SEO.

The CGO Media Approach

CGO Media treats a technical audit as the beginning of an improvement process rather than the delivery of a static document.

Depending on the website and available access, analysis can combine crawl data, Google Search Console, server logs, XML sitemaps, robots directives, canonicalisation, redirects, structured data, internal linking, page performance and Core Web Vitals.

Findings can include inefficient crawling of low-value URLs, weak internal authority distribution, canonical inconsistencies, redirect chains, outdated sitemaps, duplicate or overlapping content, rendering issues and incomplete structured information.

Those findings are then prioritised according to factors such as likely search impact, number and importance of affected pages, dependencies, implementation complexity and technical risk.

Where CGO Media is not implementing a change directly, the recommendation should be sufficiently clear for a developer to understand what needs to change, where it needs to change and what the intended outcome is.

After implementation, important fixes should be re-tested. That may involve another crawl, URL inspection, log analysis, performance testing or another appropriate validation method.

The objective is not to produce the longest possible technical audit. It is to establish a reliable technical baseline and then remove the constraints that are most likely to interfere with search discovery, interpretation and performance.

The Test

Ask for the complete journey from technical problem to measurable change.

What did the agency find? Why did it matter? Why was it prioritised? What was actually changed? How was the implementation validated? What happened afterwards? If the story ends with the delivery of an audit spreadsheet, you have not yet seen evidence of a complete technical SEO process.

Question 7 of 13 · Page Experience & Performance

How Do You Measure Core Web Vitals, and What Scores Do You Consider Acceptable for My Platform?

Core Web Vitals are frequently reduced to a PageSpeed Insights screenshot or a Lighthouse performance score.

That is not enough.

A serious technical SEO agency should understand the difference between field data collected from real users and lab data generated within a controlled testing environment.

It should also understand that performance needs to be evaluated across relevant page types, templates and devices rather than judging an entire website from a single homepage test.

The Performance Principle

Core Web Vitals should be evaluated using real-user performance data where sufficient field data is available — not judged solely from one synthetic test.

Lab testing is extremely useful for diagnosis. Field data is important for understanding what real users actually experience. A strong performance process understands the role of both.

The Core Web Vitals Thresholds

Google’s current Core Web Vitals assessment focuses on three principal metrics: Largest Contentful Paint, Interaction to Next Paint and Cumulative Layout Shift.

MetricWhat It MeasuresGood Threshold
Largest Contentful Paint (LCP)How quickly the main visible content is rendered for the user.≤ 2.5 seconds
Interaction to Next Paint (INP)How responsive the page is when users interact with it.≤ 200 milliseconds
Cumulative Layout Shift (CLS)The degree to which visible content unexpectedly moves during page loading and use.≤ 0.1

The 75th Percentile Matters

Core Web Vitals are evaluated using the 75th percentile of page loads. In practical terms, the objective is not simply to produce one fast test result. Performance needs to remain within the “good” range for the substantial majority of real-user experiences represented by the available field data.

How Core Web Vitals Should Be Measured

Google Search Console

Helps identify groups of URLs with Core Web Vitals issues and provides a site-level view of real-user performance where sufficient data exists.

Chrome UX Report

Provides field data derived from eligible Chrome user experiences and helps evaluate how pages or origins perform in real-world conditions.

PageSpeed Insights

Can combine available field information with Lighthouse laboratory diagnostics, making it useful for both assessment and investigation.

Lighthouse

Provides controlled lab testing that can help diagnose rendering, scripting, image, resource and other performance problems.

What Scores Should Be Considered Acceptable?

The published “good” thresholds provide a useful baseline, but they should not automatically become the maximum ambition for every website.

Where practical, important templates should operate with enough performance margin that normal fluctuations do not continually push them between good and poor classifications.

At the same time, performance work has to be proportionate to the platform.

An ecommerce platform, publishing environment, SaaS application and relatively simple lead-generation website may have very different technical constraints and functionality requirements. The objective should be strong real-world performance without damaging functionality that genuinely matters to users or the business.

Red Flags to Watch For

  • A Lighthouse performance score is presented as if it were the same thing as real-user Core Web Vitals data.
  • The agency treats a perfect 100/100 PageSpeed score as the primary objective.
  • Only the homepage is tested.
  • Desktop performance receives attention while mobile performance is largely ignored.
  • Important functionality is removed solely to improve a synthetic performance score.
  • The agency cannot explain the difference between field data and laboratory testing.
  • Performance recommendations identify a poor score without identifying the underlying technical cause.
  • No validation is carried out after performance changes are implemented.

The CGO Media Approach

CGO Media prioritises real-user field data where sufficient data is available and uses laboratory testing to investigate the causes of performance problems.

Analysis can combine Google Search Console Core Web Vitals reporting, Chrome UX Report data, PageSpeed Insights and Lighthouse diagnostics.

Performance should also be considered by device, page type and template rather than treating the website as one uniform page.

Depending on the platform, priority templates might include the homepage, service pages, category pages, product pages, editorial content and key conversion pages.

Diagnosis may involve server response times, caching, rendering behaviour, JavaScript execution, third-party scripts, images, fonts, layout stability and other resources that affect loading or interaction.

Changes should then be tested to confirm that the intended improvement has actually occurred and that important functionality has not been damaged in the process.

The objective is not a decorative 100/100 screenshot. It is a website that performs strongly for real users and, where technically achievable, operates safely within Google’s “good” Core Web Vitals thresholds.

The Test

Ask whether the performance conclusion comes from field data or laboratory data.

Then ask which page types are affected, what is causing the problem, what should be changed and how the improvement will be verified. If the answer begins and ends with a PageSpeed score, the performance analysis is incomplete.

Question 8 of 13 · Entity Authority & Knowledge Graphs

How Would You Build Entity Authority and Knowledge Graph Presence for a Business Like Mine?

Modern search systems increasingly need to understand more than webpages and keywords. They need to determine which organisation an information source refers to, what that organisation does, which subjects it is associated with and what evidence supports those associations.

That makes entity clarity an increasingly important part of both traditional search optimisation and AI-mediated discovery.

A serious SEO and GEO agency should therefore be able to explain how it would strengthen the information environment surrounding your organisation — not simply tell you that it will add Organization schema to the website.

Structured data can help machines interpret information, but entity authority develops through a much wider combination of identity, relationships, topical association, evidence, consistency and independent corroboration.

The Entity Authority Principle

Entity authority is not created by schema alone.

Structured data can describe an organisation and its relationships. Stronger entity authority develops when that identity, expertise and those relationships are consistently represented and supported by credible first-party and independent evidence.

Why This Question Matters

Search engines and AI systems operate across a distributed information environment.

Information about a business may exist on its own website, professional profiles, directories, research repositories, review platforms, media publications, industry associations, databases and many other external sources.

Those references are useful only if systems can determine that they describe the same underlying organisation and can understand the relationships between the organisation, its people, products, services, locations and areas of expertise.

Inconsistency can weaken that environment. Company descriptions may differ significantly between sources. Important people may not be clearly connected with the organisation. Research may not be associated with its authors. Services may be described inconsistently. Locations, names or profile information may conflict.

Entity optimisation aims to make those relationships clearer, more consistent and easier to verify.

A Strong Entity Environment Establishes Clear Relationships

  • Organisation → official website.
  • Organisation → founders, executives, authors and researchers.
  • Organisation → products and services.
  • Organisation → physical locations and operating markets.
  • Organisation → research, publications and datasets.
  • Organisation → recognised topics and areas of expertise.
  • Organisation → professional and academic profiles.
  • Organisation → independent media coverage and citations.
  • Organisation → trusted databases, directories and industry sources.

What a Strong Answer Looks Like

Entity Definition

Establish a clear organisational identity: who the business is, what it does, where it operates and which people, services, products and subjects are genuinely associated with it.

Relationship Mapping

Define meaningful relationships between the organisation, its people, services, products, locations, publications, research and specialist subject areas.

Structured Information

Use appropriate structured data and machine-readable information to clarify genuine entities and relationships already supported by the website.

External Corroboration

Identify credible independent sources capable of confirming the organisation’s identity, activities, expertise, research or wider authority.

Evidence Consistency

Resolve material inconsistencies across first-party and external information so machines encounter a more coherent description of the organisation.

Authority Measurement

Evaluate whether the organisation is becoming more clearly associated with relevant topics, credible sources and the discovery environments that matter.

Knowledge Graph Presence Is Not the Same as Getting a Knowledge Panel

Entity optimisation is sometimes sold as a process for “getting into Google’s Knowledge Graph” or securing a visible Knowledge Panel.

That is too simplistic.

The practical objective is to improve the clarity and corroboration of the organisation’s identity and relationships across the information ecosystem. A visible Knowledge Panel may exist for some entities, but it should not be treated as the sole measure of whether entity work is valuable or successful.

Red Flags to Watch For

  • The agency describes entity optimisation as simply adding Organization schema.
  • Knowledge Graph presence is treated as synonymous with obtaining a Knowledge Panel.
  • The agency guarantees that it can obtain a Google Knowledge Panel.
  • There is no assessment of independent third-party evidence.
  • Conflicting company names, descriptions, people, locations or services across external sources are ignored.
  • The strategy consists mainly of publishing more webpages without defining the relationships between them.
  • The agency cannot explain how entity clarity could influence AI retrieval, citation, comparison or recommendation.

The CGO Media Approach

CGO Media begins by defining the organisation as an entity rather than immediately reaching for structured data.

That means establishing what the business is, what it does, which people represent it, where it operates, which products or services it provides and which subjects it can legitimately demonstrate expertise in.

The next stage is to examine the organisation’s first-party entity architecture. This can include relationships between the organisation, services, products, people, authors, locations, research, publications and topics.

About pages, expert profiles, research assets, internal linking, structured data, consistent naming and genuine sameAs relationships can all contribute to making that architecture easier to interpret.

The external evidence layer is then assessed. Depending on the organisation, that may include industry publications, professional profiles, research repositories, recognised directories, associations, media coverage, reviews, citations and other authoritative third-party sources.

Material inconsistencies should be identified. If the organisation is described differently across important sources, its people are weakly connected with it or its services and expertise are difficult to reconcile, those gaps can become part of the optimisation programme.

CGO Media also examines topical and relationship authority: whether the wider evidence environment repeatedly and credibly associates the organisation with the subjects for which it wants to be discovered.

For AI Search and GEO, the objective is to determine whether those signals provide stronger support for the organisation to be discovered, understood, retrieved, cited, compared and recommended.

The Test

Ask how a search or AI system could verify your organisation without relying only on your own website.

Which independent sources confirm who you are? Which people, services, products and topics are clearly connected with the organisation? Where are the inconsistencies? What evidence supports your claimed expertise? If the agency’s answer begins and ends with schema markup, its entity strategy is incomplete.

Question 9 of 13 · AI Citations & Evidence

Show Me a Brand You Helped Get Cited in AI Answers. What Specifically Changed?

This is one of the most important questions to ask an agency selling GEO or AI Search services because AI citation claims are particularly easy to overstate.

A screenshot showing a brand cited by ChatGPT, Gemini, Perplexity or another AI system does not, by itself, prove that the agency caused the citation.

The brand may already have been appearing. The answer may have changed independently. Other sources may have strengthened. The model or retrieval system may have changed. The query may have been selected because it produced a favourable result.

A stronger GEO case therefore needs to show the baseline, the evidence gaps, the work undertaken and the pattern of visibility measured afterwards.

The Evidence Principle

One AI citation is an observation. A repeatable change across a defined query set is evidence worth investigating.

A credible GEO case should show what changed, when it changed and how visibility moved afterwards — without pretending that an external agency can observe every factor inside an AI system’s retrieval and answer-selection process.

Why This Question Matters

GEO is still a developing discipline, and the market contains a mixture of genuine experimentation, useful measurement and unsupported claims.

It is relatively easy to ask an AI system enough questions until a favourable brand appearance is found. It is much harder to establish whether visibility improved consistently across a predetermined set of relevant questions.

There is also an important distinction between mention, citation, comparison and recommendation.

A brand name appearing somewhere in an answer is not equivalent to its website being used as a source, and neither automatically means that the system recommended the organisation.

What a Strong GEO Case Should Demonstrate

StageEvidence to Look For
1. BaselineA defined set of prompts, platforms, competitors and visibility measurements before the main work began.
2. Evidence GapsA documented explanation of why the organisation may have been underrepresented — such as weak entity clarity, limited source authority, fragmented evidence or poor citation eligibility.
3. InterventionSpecific changes to content, entity architecture, evidence, structured information, external corroboration or other relevant areas.
4. Re-MeasurementThe same or comparable query groups tested again so post-intervention visibility can be compared with the original baseline.
5. Trend ValidationEvidence that the change was broader than one favourable answer and persisted sufficiently to justify further investigation.

Correlation Is Not Automatic Causation

If AI visibility improves after GEO work, that is useful evidence. It does not automatically prove that one specific change caused every improvement.

Search and AI systems are external, changing environments. A credible agency should be prepared to report a strong association between its work and subsequent visibility improvements without inventing certainty that the available evidence cannot support.

What a Strong Answer Looks Like

Defined Starting Point

The agency can explain what visibility looked like before the intervention rather than presenting only the successful outcome.

Specific Changes

It can identify the content, entity, evidence, technical or authority work actually undertaken.

Comparable Measurement

Post-work measurement uses the same or comparable prompts and platforms rather than changing the test until the result looks favourable.

Competitor Context

The organisation’s movement is considered alongside competitors rather than evaluated in isolation.

Repeated Evidence

The improvement appears across a broader pattern of relevant questions or repeated measurements rather than one selected answer.

Careful Attribution

The agency distinguishes evidence of improvement from claims of direct causation that cannot be independently demonstrated.

Red Flags to Watch For

  • A single ChatGPT, Gemini or Perplexity screenshot is presented as proof of GEO success.
  • There is no documented baseline.
  • The agency cannot explain what specifically changed.
  • There was no defined prompt or topic set before the work began.
  • Competitor visibility was not measured.
  • A brand mention is presented as if it were automatically a source citation.
  • The agency claims that one article, backlink or schema change directly caused an AI citation.
  • There is no repeat measurement to determine whether the appearance persisted.

The CGO Media Approach

CGO Media does not believe a named client should be used as proof of AI citation success without appropriate permission, nor should a single favourable AI answer be presented as evidence of direct causation.

Where confidentiality applies, the more responsible approach is to demonstrate the methodology through an anonymised case structure.

A representative scenario might begin with an organisation that performs reasonably well in traditional search but appears inconsistently across AI-mediated discovery. Analysis may identify fragmented evidence, weak entity relationships, unclear authorship, limited independent corroboration or content that is difficult to extract and support as a source.

Work can then be organised around areas such as entity architecture, citation eligibility and the external evidence layer.

Specific interventions might include strengthening organisational and author relationships, improving evidence-rich content, clarifying source attribution, creating research or reference assets, resolving inconsistent entity information and developing stronger independent corroboration.

The original prompt groups can then be re-measured to determine whether the organisation’s visibility changed and whether improvements extend across mentions, citations, comparisons or recommendations.

The evidence chain CGO Media looks for is therefore straightforward: baseline → identified evidence gaps → defined changes → repeated measurement → improved visibility across relevant query groups.

The Test

Ask to see the evidence before and after the GEO work — not just the best screenshot afterwards.

What was the baseline? Which evidence gaps were identified? What specifically changed? Were the same questions measured again? Did visibility improve across a broader pattern? If those questions cannot be answered, the example is an AI appearance — not yet a defensible GEO case study.

Question 10 of 13 · GEO Scope & Value

How Is GEO Work Different From Your Standard SEO — What Would I Actually Be Paying Extra For?

GEO overlaps significantly with good SEO. Technical accessibility, useful content, structured information, authority and a clearly understood organisation can contribute to visibility across both traditional and AI-mediated search.

That overlap is precisely why this question matters.

If an agency charges an additional fee for GEO, AI SEO, AEO or LLM optimisation, the client should be able to identify the additional research, measurement, analysis and implementation included in that service.

You should not be paying a premium simply because existing SEO work has been relabelled with AI terminology.

The GEO Value Principle

If GEO costs extra, the additional work should be visible.

You should not be paying extra because an agency has added the letters “AI” to an SEO report. You should be paying for additional measurement, research, analysis and implementation designed specifically around AI-mediated discovery, retrieval, citation, comparison and recommendation.

Why This Question Matters

The agency market now uses terms including GEO, AI SEO, AEO, LLM optimisation and AI Search optimisation.

Some of the work represented by those terms is genuinely additional. Some of it is established SEO practice presented under a new label.

There is nothing wrong with overlap. In fact, separating SEO and GEO into completely independent disciplines can create unnecessary duplication.

The important question is whether the GEO component introduces capabilities that would not otherwise be present in the standard SEO programme.

Traditional SEO

How do we improve your visibility within search results?

  • Technical SEO
  • Crawling and indexation
  • Information architecture
  • Keyword and topic research
  • Content development
  • Internal linking
  • Structured data
  • Authority development
  • Organic traffic and conversions

GEO & AI Search

How do we increase the probability that your organisation becomes a trusted source, citation or recommendation when an AI system constructs an answer?

  • AI platform monitoring
  • Prompt-set analysis
  • Competitor AI share of voice
  • Citation and source analysis
  • Entity authority development
  • Citation eligibility analysis
  • External evidence mapping
  • Comparison and recommendation visibility
  • AI visibility trend measurement

GEO Should Extend SEO — Not Pretend SEO No Longer Matters

AI systems still depend on accessible information, understandable content, entities, sources and wider evidence environments.

Strong technical and content foundations therefore remain important. GEO extends the measurement and optimisation framework into environments where organisations may be retrieved, cited, compared or recommended without appearing as a conventional blue-link search result.

What Genuine GEO Work Can Add

AI Visibility Measurement

Systematic monitoring of relevant AI environments rather than relying on occasional manual screenshots.

Prompt-Set Research

Defined informational, commercial, comparison and recommendation questions used to evaluate AI discovery consistently.

Citation & Source Analysis

Investigation of which sources AI systems are surfacing and what may make those sources suitable for particular answers.

Entity Authority

Strengthening the clarity, relationships, corroboration and evidence surrounding the organisation as an entity.

AI Competitor Analysis

Measuring which competitors are winning AI visibility and investigating the evidence environments supporting that advantage.

Recommendation Readiness

Assessing whether sufficient evidence exists for an organisation, service or product to be confidently compared or recommended.

Red Flags to Watch For

  • The standard SEO package has simply been renamed as GEO or AI SEO.
  • There is no GEO-specific measurement.
  • The entire strategy is described as “optimising content for ChatGPT”.
  • There is no defined prompt monitoring or competitor AI share-of-voice analysis.
  • The agency does not examine citation or source behaviour.
  • Entity analysis is limited to adding schema markup.
  • The agency guarantees inclusion, citation or recommendation within AI answers.
  • The additional GEO fee cannot be connected to identifiable additional deliverables.

The CGO Media Approach

CGO Media does not treat GEO as a replacement for SEO.

Traditional search visibility still depends on strong technical foundations, information architecture, useful content, internal linking, authority and reliable measurement. Those foundations can also support AI-mediated discovery.

The additional GEO layer expands the programme into questions that conventional SEO reporting may not answer.

CGO Media can monitor representative prompt and query sets to assess whether an organisation is being retrieved, cited, compared or recommended across relevant AI Search environments.

That analysis can investigate which sources are being used, which competitors are appearing instead, what external evidence supports them and where the organisation’s own evidence environment appears weaker.

Depending on the programme, GEO work may include entity architecture, citation eligibility, evidence development, external corroboration, research assets, structured information, source authority and recommendation readiness.

The additional GEO component should also be visible in reporting through AI visibility measurement, citation analysis, source analysis, competitor comparisons and changes across defined prompt groups.

The integrated objective is straightforward: SEO supports discoverability and organic search performance; GEO extends that work into AI-mediated retrieval, citation, comparison and recommendation.

The Test

Put the agency’s SEO and GEO deliverables side by side.

What additional research is being conducted? What additional platforms are being measured? What citation, source, entity and competitor analysis is included? What additional implementation will take place? If the agency cannot show a meaningful difference, you may be paying twice for substantially the same work.

Question 11 of 13 · Pricing & Scope

What Are Your Monthly Retainer Ranges, and Exactly What Is Included at Each Level?

The headline monthly fee tells you very little about the value of an SEO or GEO programme unless you understand what is actually included.

Two agencies can both describe a proposal as an “SEO and GEO retainer” while providing substantially different levels of technical work, research, content production, authority development, AI Search measurement and senior strategic involvement.

The better question is therefore not simply “How much does it cost?”

It is “What capability, work and expertise does that investment actually buy?”

The Pricing Principle

Compare scope, capability and accountability — not just the monthly number.

A lower retainer can be expensive if it excludes the work required to solve the problem. A higher retainer is difficult to justify if the agency cannot clearly explain what additional expertise, execution, measurement or strategic depth the client receives.

Why This Question Matters

SEO pricing is difficult to compare because the same terminology can describe very different services.

“Technical SEO” might mean a monthly automated crawl or ongoing technical investigation and implementation support. “Content” might mean one generic article or substantial research and evidence development. “GEO” might mean occasional AI screenshots or structured AI visibility, citation and competitor measurement.

This becomes particularly important when comparing agencies with significantly different monthly retainers.

The client needs sufficient detail to understand whether the difference reflects more execution, broader scope, deeper expertise, better measurement, greater senior involvement — or simply a different price.

What Should Be Defined in the Retainer?

Strategy & Research

Market analysis, search research, competitor analysis, prioritisation, strategic planning and the frequency with which the programme is reviewed.

Technical SEO

Auditing, crawling, indexation analysis, structured data, internal architecture, performance work, implementation support and technical QA.

Content & Evidence

Content strategy, production, research assets, evidence development, optimisation and the level of specialist editorial involvement.

Authority Development

Digital PR, external evidence, citation development, entity corroboration and other work intended to strengthen authority beyond the website.

GEO & AI Measurement

AI platform monitoring, prompt tracking, citation analysis, source analysis, competitor share of voice and AI visibility reporting.

Reporting & Senior Time

Reporting frequency, strategic meetings, named specialists, senior oversight and the people responsible for interpreting results and changing priorities.

Ask What Changes as the Retainer Increases

If an agency offers several service levels, it should be able to explain precisely what changes between them. The answer should normally involve some combination of scope, execution capacity, measurement depth and access to specialist expertise.

AreaWhat Should Become Clear
ScopeDoes the higher retainer cover more markets, websites, products, services, competitors or strategic priorities?
ExecutionIs more implementation, content production, research, technical work or authority development included?
MeasurementDoes the programme introduce more extensive AI monitoring, competitor analysis, reporting or commercial measurement?
ExpertiseDoes the client receive greater access to senior strategists or specialist technical, research, content, GEO or digital PR expertise?

Red Flags to Watch For

  • The proposal gives a monthly price but does not clearly define the scope.
  • Large parts of the service are described only as “ongoing optimisation”.
  • “AI optimisation” is listed without identifiable GEO or AI Search deliverables.
  • The agency cannot clearly explain what changes between lower and higher service levels.
  • Important technical, content or authority work appears later as an unexpected additional cost.
  • GEO attracts an additional fee but there is no additional AI-specific measurement or implementation.
  • It is unclear how much senior or specialist involvement the account will receive.
  • The proposal emphasises activity volumes without explaining how those activities connect with strategic or commercial priorities.

The CGO Media Approach

CGO Media does not believe a useful retainer should be selected solely from a generic price table without understanding the organisation’s actual search environment.

Appropriate scope depends on factors including website complexity, competitive intensity, target markets, technical condition, content requirements, existing authority, the scale of the evidence gap and the level of AI Search measurement required.

The starting point should therefore be to understand the current environment and the gap between the organisation and the competitors or sources already winning visibility.

A CGO Media proposal should make clear which areas are included. Depending on the agreed programme, those may include technical SEO, content and research, entity development, authority work, AI visibility monitoring, citation analysis, competitor measurement, reporting and strategic oversight.

Equally important, significant exclusions should be clear. A client should not discover several months into a programme that an important area they reasonably believed was included requires an entirely separate budget.

The objective is that the client understands what the monthly investment buys, why that work has been prioritised and how its impact will be evaluated.

The Test

Ask what would actually change if you moved the retainer up or down.

Would the scope change? Would less implementation take place? Would fewer markets or competitors be monitored? Would AI Search measurement reduce? Would senior involvement change? If the agency cannot identify concrete differences in work, expertise, measurement or scope, examine the pricing structure more carefully.

Question 12 of 13 · Contracts, Access & Ownership

What Is the Minimum Term, the Notice Period, and Who Owns the Content and Assets if We Part Ways?

The quality of an SEO or GEO relationship should not be judged only by how it begins.

You should also understand exactly what happens when it ends.

Before signing an agreement, the minimum term, notice period, account access, ownership of commissioned content and treatment of data should all be clear.

These details may seem less exciting than rankings, AI visibility or growth projections, but they determine whether the organisation retains control of the assets, accounts and historical information created during the engagement.

The Ownership Principle

Understand the exit before you sign the contract.

A professional agency relationship should make it clear what belongs to the client, what belongs to the agency, what is licensed from a third-party platform and what happens to access, data and completed deliverables when the engagement ends.

Why This Question Matters

SEO and GEO programmes can create a substantial digital asset base over time.

That may include website content, research, technical documentation, structured data, dashboards, keyword and prompt research, reporting history, digital PR assets, creative materials and datasets.

The agency may also work inside business-critical systems such as analytics platforms, Google Search Console, CMS environments, tag management systems, advertising accounts, CRM systems and specialist SEO or AI visibility technology.

If ownership and access are not defined from the beginning, ending the relationship can create unnecessary operational risk.

What Should Be Clear Before You Sign?

Minimum Term

Is there an initial commitment period, how long is it and what happens when that period ends?

Notice Period

How much notice is required to terminate the agreement and are there particular dates or procedures that must be followed?

Content Ownership

Who owns commissioned articles, landing pages, research, creative materials and other completed deliverables after payment?

Account Access

Are important business accounts controlled by the client, and does the organisation retain appropriate administrative access?

Data & Reporting

What historical reporting, exports, research and measurement data remain available when the relationship ends?

Handover Process

Is there an orderly process for transferring documentation, outstanding actions, access information and relevant assets?

Not Every Asset Has the Same Ownership Model

A useful contract should distinguish between client-owned assets, agency-owned intellectual property and third-party licensed technology.

For example, commissioned website content may be transferred to the client under the agreement, while an agency’s proprietary methodology or internal software may remain its intellectual property. Access to third-party SEO or AI monitoring platforms may depend on the licensing terms of those providers.

Business-Critical Accounts Should Not Become Hostages

Wherever practical, core business accounts should be created and controlled by the client, with the agency receiving the access required to perform its work.

This can include analytics, Google Search Console, the website CMS, tag management, business profiles and other systems that remain important regardless of which agency is appointed.

An agency should not need to control ownership of essential business infrastructure simply to maintain the commercial relationship.

Red Flags to Watch For

  • The minimum commitment is unclear or differs from what was discussed during the sales process.
  • The contract automatically renews into another substantial term without this being clearly explained.
  • The notice period is difficult to identify or unnecessarily complicated.
  • Business-critical accounts are created entirely under agency-controlled logins.
  • The client does not have appropriate administrative access to its own platforms.
  • Ownership of commissioned content, research or creative assets is ambiguous.
  • The agency suggests completed work may be removed after termination despite this conflicting with the agreed ownership terms.
  • Historical reporting or measurement data becomes inaccessible immediately after the engagement ends.
  • There is no defined handover process.

The CGO Media Approach

CGO Media believes the commercial terms of an engagement should be understood before the programme begins.

The agreed proposal and contract should define the scope, applicable term, notice requirements, fees and relevant ownership arrangements.

Wherever practical, business-critical accounts should remain client-owned or client-controlled, with CGO Media receiving the permissions required to perform the agreed work.

Ownership of commissioned deliverables should follow the terms of the agreement. Third-party platforms, licensed datasets, specialist software and proprietary agency systems may have separate usage or licensing conditions and should not be confused with client-owned deliverables.

If an engagement ends, the objective should be an orderly transition. Depending on the agreed scope, that can include completed deliverables, relevant data exports, implementation documentation, outstanding recommendations and appropriate account access.

A client should remain because the programme is delivering sufficient strategic and commercial value — not because leaving has been made unnecessarily difficult.

Contractual clarity protects both parties. It allows the agency to plan resources properly while giving the client a clear understanding of its commitments, assets and responsibilities.

The Test

Ask what happens if you decide to leave six or twelve months from now.

What notice do you give? Which assets do you keep? Who controls the accounts? Can you export the historical data? What happens to completed content and research? How does the handover work? If those answers are unclear before you sign, they are unlikely to become easier when you decide to leave.

Question 13 of 13 · Team, Expertise & Accountability

Who Will Actually Work on My Account Week to Week, and What Is Their Experience?

The people presenting an agency during the sales process are not necessarily the people who will work on your account after the contract is signed.

That distinction matters.

SEO and GEO now span technical SEO, content, research, entity development, structured data, digital PR, analytics, AI visibility measurement, citation analysis and commercial reporting.

You do not necessarily need a large team. You do need to know who is responsible for the work, what experience they have and how specialist expertise is brought into the account when required.

The Team Principle

Ask for names and responsibilities — not just departments.

“Our technical team will handle that” is not the same as knowing who is responsible, what experience they have and when they will actually work on your account.

Why This Question Matters

Agency pitches often involve senior people because those individuals are best placed to explain strategy, answer difficult questions and establish confidence.

The problem begins when that expertise disappears immediately after appointment.

A client may believe they are buying access to experienced technical, strategic and AI Search specialists but subsequently discover that most decisions are routed through an account manager with limited specialist involvement.

Account management itself is valuable. Good communication, organisation and coordination matter. But account management should not become a substitute for the expertise the programme requires.

The agency should therefore be able to explain both the day-to-day delivery structure and the senior specialist oversight supporting it.

What a Strong Answer Looks Like

Strategic Lead

Someone should remain responsible for the overall search strategy, priorities, commercial objectives and major changes in direction.

Technical Expertise

The client should know who can investigate crawling, indexation, architecture, structured data, performance and complex technical problems.

Content & Research

Content should involve people capable of understanding the organisation, its market, evidence requirements and the subjects on which it needs to demonstrate authority.

GEO & AI Search

If GEO is being sold, someone should be responsible for AI visibility measurement, prompt research, citations, sources, entity analysis and competitive interpretation.

Account Communication

There should be a clear point of contact who understands current priorities, actions, results and which specialists need to become involved.

Senior Oversight

Experienced specialists should remain connected to important strategic decisions, technical risks, unexpected performance changes and major platform developments.

Ask for Names, Not Just Departments

You do not necessarily need every specialist assigned permanently to the account.

You should, however, understand who is expected to work on the programme regularly, who provides specialist input, who reviews important decisions and who is ultimately accountable for the strategy.

Ask About Experience Relevant to the Work

Years in marketing alone do not necessarily demonstrate expertise in the work your programme requires.

If technical SEO is important, ask what technical problems the relevant specialist has actually diagnosed and resolved.

If GEO is a major part of the proposal, ask what the person responsible has actually done in AI Search measurement, citation analysis, source research, entity authority and competitor visibility.

Relevant experience should connect directly with the capabilities being sold.

Red Flags to Watch For

  • The agency will not identify the people likely to work on the account.
  • Senior specialists dominate the sales process but their involvement after appointment is unclear.
  • The account manager cannot explain the technical or strategic work being undertaken.
  • GEO is a major part of the proposal but nobody clearly owns AI Search measurement and research.
  • Significant work is outsourced without this being made clear.
  • Content production is disconnected from people who understand the client’s market and evidence requirements.
  • The delivery team changes frequently without explanation.
  • There is no obvious quality-control or senior-review process.

The CGO Media Approach

CGO Media believes clients should understand who is responsible for their programme and where specialist expertise enters the work.

Different stages of a programme may require different capabilities. Technical investigation, content and research, entity development, AI Search measurement, digital PR and commercial analysis do not always require the same specialist.

Those disciplines should nevertheless operate within one connected strategy rather than as unrelated agency departments producing independent activity.

Senior involvement is particularly important when priorities need to change, technical risk is significant, performance moves unexpectedly or developments in search and AI platforms require the strategy to be reassessed.

CGO Media’s wider research into areas including AI answer construction, citation behaviour, entity authority, source selection and recommendation visibility should also remain connected to client delivery rather than existing only as separate published research.

The objective is straightforward: the expertise presented during the appointment process should remain connected to the thinking, measurement and decisions that shape the programme after the contract is signed.

The Test

Ask who will work on your account during a normal week — not who will attend the pitch or quarterly meeting.

Who sets the strategy? Who investigates technical problems? Who creates and reviews the content? Who measures AI Search visibility? Who analyses citations and competitors? Who makes the decision when the strategy needs to change? Then ask what those people have actually done in technical SEO, AI Search, GEO and your type of market.

Agency Evaluation Framework · SEO · GEO · AI Search

The 100-Point SEO & GEO Agency Evaluation Scorecard

The thirteen questions above are designed to expose the difference between a convincing sales presentation and a credible search capability.

This scorecard provides a simple way to turn those answers into a more structured agency evaluation.

It assesses eight areas covering AI Search and GEO capability, measurement, technical SEO, entity authority, commercial accountability, evidence, contractual transparency and the people actually responsible for delivery.

The maximum score is 100 points.

The Evaluation Principle

Score the evidence you are shown — not the confidence with which the answer is delivered.

An agency should score highly because it can demonstrate credible processes, measurement, expertise and accountability — not because its proposal uses the latest terminology or makes the strongest promises.

The Scorecard

Evaluation AreaWhat You Are EvaluatingMaximum
1. AI Search & GEO CapabilityPlatform coverage, prompt research, citation analysis, source analysis, AI competitor intelligence and understanding of retrieval, comparison and recommendation.20
2. Measurement & ReportingBaseline measurement, trend reporting, competitor context, commercial reporting, AI visibility and clear next actions.15
3. Technical SEO CapabilityDiagnosis, prioritisation, implementation guidance, Core Web Vitals, validation and the ability to connect technical problems with search and commercial impact.15
4. Entity & Authority DevelopmentEntity definition, relationship architecture, structured information, external corroboration, source authority and evidence consistency.15
5. Commercial AccountabilityWhether the agency connects visibility with enquiries, qualified leads, conversions, revenue and the wider commercial objectives of the organisation.15
6. Transparency & EvidenceEvidence behind claims, willingness to demonstrate methodology, realistic attribution and clear acknowledgement of uncertainty and limitations.10
7. Contract, Access & OwnershipMinimum term, notice period, account control, asset ownership, historical data access and the handover process.5
8. Team & Senior ExpertiseWho actually delivers the work, specialist experience, senior oversight, quality control and continuity between the sales process and delivery.5
Maximum Score100

How to Score Each Area

You do not need to turn the evaluation into a complicated mathematical exercise. A simple three-level assessment can make different agency proposals much easier to compare.

0% of Available Points

No Credible Evidence

The capability is absent, the answer is largely promotional or the agency cannot demonstrate how the work is actually performed.

50% of Available Points

Partial Evidence

The capability appears credible but there are important gaps in methodology, measurement, evidence, experience or transparency.

100% of Available Points

Strong Evidence

The agency can clearly explain and demonstrate the capability, including methodology, measurement, responsibilities and limitations.

Example: Scoring AI Search & GEO Capability

This category carries a maximum of 20 points.

An agency with no defined AI measurement, no prompt-set methodology and no citation or competitor analysis might receive 0 points.

An agency with credible AI monitoring but limited source analysis or competitive measurement might receive approximately 10 points.

An agency able to demonstrate systematic platform monitoring, defined prompt sets, competitor share of voice, citation and source analysis, entity research and repeat measurement could receive the full 20 points.

How to Interpret the Final Score

ScoreAssessmentInterpretation
85–100Strong EvidenceThe agency demonstrates strong capability across the areas that matter and provides credible evidence behind its claims.
70–84CredibleThe agency appears capable, but specific gaps should be understood and resolved before appointment.
50–69Significant GapsImportant elements of the agency’s capability, measurement, transparency or delivery model remain insufficiently demonstrated.
Below 50High Evaluation RiskThe evidence presented does not sufficiently support important parts of the agency’s proposition.

The Scorecard Is a Decision Framework — Not a Substitute for Judgement

A numerical score cannot tell you everything about whether an agency is right for your organisation.

Sector experience, cultural fit, communication style, resources, geographic coverage, specialist requirements and the complexity of your platform may all influence the final decision.

The purpose of the scorecard is to make important capabilities harder to hide behind a polished proposal.

The Final Principle

Evidence Should Beat the Sales Pitch

The strongest SEO and GEO agency should not necessarily be the agency making the biggest promises. It should be the agency that can most clearly demonstrate how it measures performance, diagnoses problems, develops authority, evaluates AI visibility, connects work with commercial outcomes and remains accountable for the quality of its decisions.

Final Evaluation · SEO · GEO · AI Search

Choosing an SEO, AI & GEO Agency Should Be an Evidence-Based Decision

SEO still matters. Technical accessibility, indexation, content quality, authority, internal architecture and commercial measurement remain fundamental to search performance.

What has changed is the environment in which organisations are now being discovered.

Businesses can increasingly be surfaced through AI-generated answers, summaries, comparisons and recommendations as well as conventional search results.

That creates additional questions for any agency claiming expertise in GEO or AI Search.

Which platforms are being measured? Which competitors are appearing? Which sources are being selected? Is the organisation clearly understood as an entity? Is there sufficient independent evidence? Is the business being cited, compared or recommended — and can any change be measured consistently over time?

Before You Appoint an Agency, You Should Be Able to Answer:

What Will They Measure?

Rankings, organic visibility, AI visibility, citations, competitor share of voice, enquiries, conversions and commercial outcomes should have clearly defined roles.

How Will They Measure It?

Understand the tools, platforms, prompt sets, reporting methodology, baselines and frequency of measurement.

What Will They Actually Do?

The proposal should translate strategy into identifiable technical, content, research, authority, entity and GEO work.

Who Will Do the Work?

Know who owns strategy, technical SEO, content, AI Search measurement and specialist decisions after the sales process ends.

What Does the Investment Buy?

The monthly fee should correspond to clear scope, execution, expertise, measurement and accountability.

What Happens if You Leave?

Notice periods, account control, ownership, historical data and the handover process should be understood before appointment.

The Central Question

Don’t ask an SEO, AI or GEO agency only what it can do. Ask it to show you how it does it.

Claims should lead to evidence. Evidence should lead to methodology. Methodology should lead to measurable work. And measurable work should ultimately connect with the commercial objectives of the organisation.

The Strongest Agency May Not Make the Biggest Promise

Search marketing has always contained promises that responsible agencies cannot completely control.

AI Search creates another opportunity for those promises to become exaggerated.

No agency controls Google’s rankings. No agency controls which sources an independent AI system will retrieve for every query. No agency can guarantee that ChatGPT, Gemini, Perplexity or another platform will consistently cite or recommend a particular organisation.

What an agency can control is the quality of its research, technical work, evidence development, measurement, strategic decisions and implementation.

That is where accountability should begin.

Work With CGO Media

Put CGO Media Through the Same Test

If you are considering CGO Media for SEO, GEO or AI Search, ask us the same thirteen questions.

Ask how we measure AI visibility. Ask how we analyse competitors. Ask how we approach technical SEO, entity authority, citations and source selection. Ask who will work on the programme, what the investment covers and how performance will be evaluated.

We will explain the methodology, show you how the measurement works and assess your current position across traditional and AI-mediated search.

We will also explain the limitations and uncertainties. We do not need to promise rankings or guaranteed AI placements to demonstrate the quality of the work.


Put CGO Media Through the Test

Final Thought

The strongest agency relationships are built on evidence, technical competence, transparent measurement, commercial accountability and trust.

Those standards should apply whether the work is called SEO, GEO, AI Search optimisation or whatever terminology comes next.

Frequently Asked Questions · SEO · GEO · AI Search

Questions About Choosing an SEO & GEO Agency

These questions summarise some of the most important issues businesses and organisations should consider when evaluating an SEO, GEO or AI Search agency.

1. What Should I Ask an SEO Agency Before Hiring Them?

Ask how the agency measures success, who will work on your account, how technical issues are diagnosed and validated, what reporting you will receive, how commercial outcomes are measured, what the monthly retainer includes and what happens to your content, accounts and data if the relationship ends. If the agency also sells GEO or AI Search services, ask how those services differ from its standard SEO work.

2. What Should I Ask a GEO Agency?

Ask which AI platforms it monitors, how prompt sets are defined, how frequently visibility is measured, whether competitor share of voice is tracked and how citations and sources are analysed. You should also ask how the agency approaches entity authority, external evidence and recommendation visibility, and request evidence showing how its GEO methodology is applied in practice.

3. What Is the Difference Between SEO and GEO?

SEO primarily focuses on improving discoverability and performance within traditional search environments. GEO extends that work into AI-mediated discovery, where organisations and sources may be retrieved, cited, compared or recommended within generated answers. The disciplines overlap substantially, but genuine GEO should introduce additional AI visibility measurement, prompt research, citation and source analysis, competitor intelligence and evidence-focused optimisation.

4. Should an SEO Agency Guarantee First-Page Rankings?

No agency controls Google’s ranking systems and therefore cannot responsibly guarantee a particular first-page or number-one organic ranking. An agency can be accountable for the quality of its research, technical work, content, authority development, measurement and strategic decisions, but the final ranking decision belongs to the search engine.

5. Can a GEO Agency Guarantee That My Business Will Appear in ChatGPT or Other AI Answers?

No responsible GEO agency should guarantee that an independent AI platform will consistently retrieve, cite or recommend a particular business. Agencies can improve the clarity, accessibility, authority and evidence surrounding an organisation and measure subsequent visibility, but they do not control the retrieval and answer-selection systems operated by external AI platforms.

6. How Should an Agency Measure AI Search Visibility?

AI Search visibility should be measured across defined prompt or query groups and relevant platforms rather than through occasional manual screenshots. Useful measurement can include brand presence, competitor share of voice, citation visibility, source selection, comparison and recommendation appearances, prompt coverage and changes over time. Because generated answers can vary, repeated measurement and human validation are important.

7. How Can I Tell Whether GEO Is Genuinely Included in an Agency Service?

Put the SEO and GEO deliverables side by side. Genuine GEO should normally add identifiable AI-specific research, measurement or implementation, such as prompt-set monitoring, AI competitor analysis, citation and source research, entity authority work, external evidence mapping and recommendation-readiness analysis. If the two services are substantially identical apart from terminology, the GEO proposition deserves closer examination.

8. Should an SEO Agency Measure Revenue as Well as Rankings?

Where reliable commercial tracking is possible, an agency should look beyond rankings and impressions. Rankings, visibility and traffic are important indicators, but businesses ultimately need to understand whether search activity contributes to enquiries, qualified leads, conversions and revenue. The appropriate measurement framework depends on the organisation’s business model and available data.

9. Who Should Own the SEO Content and Accounts?

Ownership should be explicitly defined in the agency agreement. Wherever practical, business-critical accounts should remain client-owned or client-controlled, with the agency receiving appropriate access. Ownership of commissioned content, research and other deliverables should follow the contract, while proprietary agency systems and third-party software may remain subject to separate intellectual-property or licensing arrangements.

10. What Is the Biggest Red Flag When Choosing an SEO or GEO Agency?

One of the strongest warning signs is an important capability claim that the agency cannot support with a credible explanation of methodology, evidence and measurement. Guarantees of rankings or AI placements, vague reporting, unexplained GEO fees, unclear delivery teams and an unwillingness to demonstrate how the work is performed should all justify further scrutiny.

One Final Question

What evidence supports that claim?

Whenever an SEO or GEO agency makes an important claim about its technology, methodology, expertise or results, ask what evidence supports it. That single question can reveal more about the agency than another twenty slides in a sales presentation.