AI Entity Authority Research Observations UK 2026

Research Observation 1

A Stable Organisation Name Is the Foundation of Entity Identity

Evidence Type: Google First-Party Documentation

An organisation’s name is one of the most basic signals used to identify it. Google includes name among the recommended properties for Organization structured data and describes it as the name of the organisation.

Consistency becomes particularly important when the organisation is represented across its website, structured data, company profiles, research publications, directories, social platforms and external references.

Source:
Google Search Central — Organization Structured Data

Research Observation 2

Alternate Names Can Help Reconcile Legitimate Brand Variations

Evidence Type: Google First-Party Documentation

Organisations are not always referenced by one exact name. A company may have a legal name, trading name, abbreviated form or commonly used brand variation.

Google supports the alternateName property within organisational structured data. This provides a machine-readable method for expressing legitimate alternative names without treating them as separate organisations.

Source:
Google Search Central — Organization Structured Data

Research Observation 3

The Official Website URL Functions as a Strong Identity Reference

Evidence Type: Google First-Party Documentation

The official organisational website provides a stable digital location around which other identity signals can be organised. Google supports the url property for organisations as part of its recommended structured-data vocabulary.

The relationship between an organisation and its canonical website becomes especially important when multiple domains, former domains, campaign sites, country sites or third-party profiles exist.

Source:
Google Search Central — Organization Structured Data

Research Observation 4

Formal Organisational Identifiers Can Strengthen Disambiguation

Evidence Type: Google First-Party Documentation

Names alone are not always sufficient to distinguish organisations. Google documents several organisational identifiers that can provide additional differentiation, including identifiers associated with legal entities, industry classifications and recognised registration systems.

Google specifically notes that properties such as iso6523Code and naics can be used behind the scenes to help distinguish one organisation from another.

Source:
Google Search Central — Organization Structured Data

Research Observation 5

Real-World Organisational Details Reinforce Digital Identity

Evidence Type: Google First-Party Documentation

Google recommends organisational properties that represent both digital and real-world presence, including addresses, telephone numbers, contact information and relevant registration details.

These properties help describe the organisation as an operating entity rather than only as a website.

Source:
Google Search Central — Organization Structured Data

Research Observation 6

sameAs Can Connect an Entity to Authoritative External Identity References

Evidence Type: Schema.org Standard + Google Documentation

Schema.org defines sameAs as a URL to a reference page that unambiguously indicates the identity of the item being described.

Google also supports multiple sameAs URLs within Organization structured data and gives examples such as organisational profiles on external websites.

Sources:
Schema.org — sameAs
Google Search Central — Organization Structured Data

Research Observation 7

Consistent Logos Support Brand Recognition but Should Not Be Confused With Authority

Evidence Type: Google First-Party Documentation

Google supports the logo property within organisational structured data and states that providing it can help Google understand which logo should represent an organisation in relevant search experiences.

A logo therefore contributes to representation and brand identification, but there is no basis for treating a logo itself as evidence of organisational authority.

Source:
Google Search Central — Organization Structured Data

Research Observation 8

Organisation Markup Should Be Concentrated on the Page That Defines the Organisation

Evidence Type: Google First-Party Documentation

Google recommends placing organisation information on the homepage or on a single page that describes the organisation, such as an About page. It explicitly states that the organisation markup does not need to be repeated on every page.

Source:
Google Search Central — Organization Structured Data Guidelines

Research Observation 9

The Most Specific Valid Entity Type Should Be Used Where Appropriate

Evidence Type: Google First-Party Documentation

Google recommends using the most specific Schema.org subtype of Organization that accurately represents the organisation.

This reflects a wider principle of entity modelling: more precise classifications can communicate more information than unnecessarily broad labels, provided the classification is accurate.

Source:
Google Search Central — Organization Structured Data Guidelines

Research Observation 10

People and Organisations Can Be Modelled as Connected but Distinct Entities

Evidence Type: Google First-Party Documentation

Google’s ProfilePage documentation supports both Person and Organization as the primary entity represented by a profile page. Google also explains that structured-data features such as articles can reference authors and creators.

This provides a technical basis for representing organisations and the people associated with them as distinct entities with explicit relationships.

Source:
Google Search Central — ProfilePage Structured Data

What Observations 1–10 Tell Us

The first layer of Entity Authority is not authority at all. It is identity clarity.

Before an organisation can accumulate meaningful topical, research or external authority, search and retrieval systems need sufficient evidence to establish which entity is being referenced. The strongest foundations therefore combine:

• a stable primary organisational name;
• explicit legitimate alternative names;
• a clear canonical website;
• appropriate formal identifiers;
• consistent real-world organisational information;
• carefully selected external identity references;
• consistent brand representation;
• accurate structured data;
• specific entity classification where justified; and
• clear relationships between the organisation and its people.

These signals do not prove authority individually. Their value lies in creating a coherent identity layer upon which stronger evidence, topical relationships and independent validation can subsequently develop.

Evidence Note

Google states that adding Organization structured data can help it understand administrative details and disambiguate an organisation in Search. Google also advises organisations to add as many relevant properties as apply, rather than treating the markup as a fixed checklist.

Structured data should therefore be regarded as a method of communicating explicit information about an entity, not as a substitute for wider organisational credibility or as a guaranteed ranking mechanism.

Google Search Central — Organization Structured Data →

Google Search Central — ProfilePage Structured Data →

Schema.org — sameAs →

Research Observation 11

Entity Relationships Are More Informative Than Isolated Entity References

Evidence Type: Structured Data Standards + CGO Media Research Interpretation

Structured data is designed not only to identify individual entities but also to describe how those entities relate to one another. A person can author an article, an organisation can publish research, a creative work can be about a subject, and a dataset can have an identifiable creator.

These relationships transform a collection of disconnected names into a more structured information model.

Sources:
Schema.org structured vocabulary and Google Search Central structured-data documentation.

Research Observation 12

Being the Subject of Content Is Different From Merely Being Mentioned

Evidence Type: Schema.org Standard

Schema.org distinguishes between content that is principally about an entity and content that merely mentions it.

The about property describes the subject matter of a creative work, while mentions indicates that the work contains a reference to an entity or concept without necessarily being primarily about it.

Sources:
Schema.org — about
Schema.org — mentions

Research Observation 13

Topic Association Can Be Expressed Without Claiming Proven Expertise

Evidence Type: Schema.org Standard

Schema.org provides the knowsAbout property for a Person and, less commonly, an Organization. The property indicates a topic the entity knows about, while Schema.org explicitly cautions that it suggests possible expertise rather than proving it.

Source:
Schema.org — knowsAbout

Research Observation 14

Author Relationships Strengthen the Connection Between People and Published Knowledge

Evidence Type: Google First-Party Documentation

Google’s Article structured-data documentation supports identifiable Person and Organization authors. Google recommends using the appropriate entity type and, where possible, providing an author URL or sameAs reference that helps identify the author.

This allows the creative work to be associated with a specific person or organisation rather than only displaying an unstructured byline.

Source:
Google Search Central — Article Structured Data and Author Markup Best Practices

Research Observation 15

Author and Publisher Are Distinct Relationships

Evidence Type: Google First-Party Documentation

Google’s Article documentation distinguishes the author of content from the publisher. It specifically advises against placing the publisher’s name inside the author.name field and instead directs publishers to use the appropriate publisher property.

Source:
Google Search Central — Article Structured Data

Research Observation 16

Research Datasets Can Create Explicit Relationships Between Organisations, Researchers and Evidence

Evidence Type: Google First-Party Documentation

Google’s Dataset structured-data documentation supports relationships including creator, publisher, citation, identifiers and funding information.

The creator can be represented as a person or organisation, allowing research outputs to be connected explicitly with the entities responsible for producing them.

Source:
Google Search Central — Dataset Structured Data

Research Observation 17

Persistent Research Identifiers Reduce Ambiguity Between Authors and Institutions

Evidence Type: Google First-Party Documentation

Google’s Dataset guidance explicitly recommends ORCID identifiers for uniquely identifying individual researchers and ROR identifiers for institutions and organisations where appropriate.

Persistent identifiers can be particularly useful where multiple researchers share the same name or where an institution may be referenced using different naming conventions.

Source:
Google Search Central — Dataset Structured Data

Research Observation 18

Topical Authority Requires Evidence Beyond a Declared Topic

Evidence Type: Structured Data Standards + CGO Media Research Interpretation

An organisation can state that it operates within a particular field, and structured data can represent associations between an organisation and a topic. Neither action alone demonstrates sustained knowledge or authority.

A stronger topical relationship emerges when multiple forms of evidence converge around the same subject area.

Evidence Basis:
Schema.org topic relationships; Google structured-data documentation; CGO Media research interpretation.

Research Observation 19

An Entity Can Be Connected to the Creative Works That Are About It

Evidence Type: Schema.org Standard

Schema.org’s subjectOf property describes a CreativeWork or Event about a particular entity and operates as the inverse relationship of about.

This illustrates an important entity principle: the information environment can be represented from both directions — content can be about an entity, and the entity can be the subject of relevant content.

Source:
Schema.org — subjectOf

Research Observation 20

Knowledge Architecture Becomes Stronger When Multiple Relationships Converge on the Same Entity

Evidence Type: CGO Media Research Synthesis

No single structured-data property, author profile, research paper or external reference creates a complete organisational knowledge architecture.

The stronger pattern occurs when multiple consistent relationships converge:

• the organisation publishes research;
• the research has identifiable authors;
• the authors have stable profiles;
• the organisation is the recognised publisher;
• the research concerns identifiable subjects;
• datasets are connected with their creators;
• external profiles identify the same people and organisation;
• independent sources discuss the organisation within the same subject areas; and
• those relationships remain consistent over time.

Evidence Basis:
Synthesis of Google structured-data guidance, Schema.org entity relationships and CGO Media research observations.

What Observations 11–20 Tell Us

The second layer of Entity Authority is relationship clarity.

An identifiable organisation becomes more understandable when its relationships with people, topics, research and external evidence can also be interpreted. The emerging pattern is therefore not simply:

Organisation → Topic

It is a deeper network:

Organisation → People → Expertise → Publications → Research → Topics → Independent Evidence.

The strongest entity architectures combine:

• clear relationships between people and organisations;
• accurate separation of authors and publishers;
• explicit subject relationships;
• identifiable research and datasets;
• persistent researcher and institutional identities;
• consistent topical associations;
• substantive rather than incidental mentions;
• first-party and independent creative works;
• connected internal knowledge architecture; and
• multiple evidence sources that reinforce the same underlying entity relationships.

These relationships do not constitute a disclosed Google or AI-platform authority score. Their value lies in making the organisation and its surrounding evidence environment progressively clearer, richer and easier to interpret.

CGO Media Entity Authority Principle

Recognition identifies the entity. Relationships explain the entity.

An organisation may be correctly recognised while remaining poorly understood. The purpose of the relationship layer is therefore to connect the organisation with the people, subjects, publications, research and independent evidence that explain what the organisation does and where its demonstrable knowledge sits.

Primary Evidence Sources for Observations 11–20

Google Search Central — ProfilePage Structured Data

Google Search Central — Article Structured Data and Author Markup Best Practices

Google Search Central — Dataset Structured Data

Schema.org — about

Schema.org — mentions

Schema.org — knowsAbout

Schema.org — subjectOf

Research Observation 21

First-Party Claims and Independent Corroboration Are Different Evidence Classes

Evidence Type: CGO Media Research Framework

An organisation’s own website is normally the most direct source for its identity, services, people, research and corporate information. However, information published by the organisation about itself remains first-party evidence.

External sources provide a different form of evidence because they originate outside the organisation’s directly controlled publishing environment.

Evidence Basis:
CGO Media Entity Authority research framework and wider source-verification principles.

Research Observation 22

AI Citation and Brand Mention Are Distinct Visibility Outcomes

Evidence Type: Independent AI Visibility Research

A source can be cited within an AI-generated response without the organisation behind that source being explicitly named in the answer.

Conversely, an organisation may be named in an AI response without a direct citation to its website.

A 2026 Semrush study analysing domain appearances across major AI search environments reported that approximately 61.7% of citations in its dataset were “ghost citations”, where the source was cited but the associated brand was not named in the generated answer.

Source:
Semrush — 2026 Ghost Citations Study.

Research Observation 23

A Citation Can Create Source Visibility Without Creating Equivalent Brand Recognition

Evidence Type: Independent AI Visibility Research

The separation between citations and mentions changes how organisations should interpret AI visibility.

A research article, dataset or guide may be selected as a supporting source because it provides useful evidence, yet the generated answer may synthesise the information without explicitly naming the publisher in the response text.

Source:
Semrush — 2026 Ghost Citations Study.

Research Observation 24

Independent Sources Can Expand the Evidence Environment Around an Entity

Evidence Type: Entity Research Synthesis

An organisation’s own website can describe its services, research and expertise, but external sources can introduce additional references to the same underlying entity.

Relevant sources may include:

• news and trade publications;
• academic or research repositories;
• professional organisations;
• industry databases;
• conference and event websites;
• expert interviews;
• research citations;
• government or institutional sources;
• specialist directories; and
• independent comparative publications.

Evidence Basis:
CGO Media research synthesis across entity representation, digital PR, research publishing and AI visibility.

Research Observation 25

External Authority Cannot Be Reduced to Raw Mention Volume

Evidence Type: Google Policy Documentation + CGO Media Research Interpretation

Not every external reference carries the same meaning. A relevant editorial reference from an established publication is fundamentally different from automated directory duplication, paid link schemes or content created primarily to manipulate search rankings.

Google’s spam policies prohibit link creation designed primarily to manipulate search rankings and also address third-party content placed on established websites primarily to exploit existing ranking signals.

Sources:
Google Search Central — Spam Policies for Google Web Search.
Google Search Central — Site Reputation Abuse Policy.

Research Observation 26

Context Determines What an External Mention Actually Says About an Entity

Evidence Type: CGO Media Research Interpretation

An organisation can be mentioned for many unrelated reasons. A company name appearing in a generic business directory communicates something different from the same company being referenced within specialist analysis of the subject area in which it claims expertise.

The surrounding context determines which relationships the reference potentially reinforces.

Evidence Basis:
CGO Media entity relationship and external evidence methodology.

Research Observation 27

Research Repositories Can Provide Independent Publication Records

Evidence Type: Research Infrastructure Observation

Research repositories provide a separate environment in which publications, datasets, authors, dates, descriptions and persistent identifiers can be recorded.

Where the repository record accurately identifies the authors, organisation and publication, it can provide an external reference that is separate from the organisation’s own website.

Evidence Basis:
Research repository metadata practices and CGO Media research-publication methodology.

Research Observation 28

Independent Evidence Is Stronger When Multiple Sources Converge Without Being Artificially Identical

Evidence Type: CGO Media Research Synthesis

Independent sources should not be expected to reproduce an organisation’s exact marketing language. Genuine third-party descriptions may use different wording while still agreeing on the important underlying facts.

For example, multiple independent sources may consistently identify:

• the same organisation;
• the same founder or research team;
• the same primary sector;
• the same research publication;
• the same geographic operation;
• the same recognised expertise; or
• the same product or service category.

Evidence Basis:
CGO Media external corroboration methodology.

Research Observation 29

Links and Brand Mentions Should Be Analysed as Related but Separate Signals

Evidence Type: Google Documentation + Independent AI Visibility Research

A hyperlink creates an explicit navigational connection between one web resource and another. A brand mention can identify an organisation without providing a clickable link.

The two should therefore not be treated as interchangeable.

Google publicly documents links as part of how pages and resources are discovered and understood, while current AI visibility research demonstrates that brand mentions and source citations can appear independently of one another in generated responses.

Evidence Basis:
Google Search documentation and independent 2026 AI citation/mention research.

Research Observation 30

External Authority Is Best Evaluated as a Distributed Evidence Network

Evidence Type: CGO Media Research Synthesis

No single publication, backlink, repository record, directory entry or AI citation provides a complete measure of organisational authority.

A stronger external evidence environment develops when multiple independent source types reinforce compatible aspects of the same entity.

This can include:

• media references confirming organisational activity;
• research repositories confirming publications;
• professional profiles confirming people and roles;
• trade publications connecting the organisation with relevant sectors;
• research citations connecting the organisation with original evidence;
• industry references confirming products or services;
• AI citations demonstrating source use;
• AI mentions demonstrating brand recognition; and
• independent recommendations demonstrating selection or preference.

Evidence Basis:
CGO Media Entity Authority and AI visibility research synthesis.

What Observations 21–30 Tell Us

The third layer of Entity Authority is independent corroboration.

Organisations need strong first-party sources, but a complete evidence architecture cannot be built entirely within properties the organisation controls.

The important progression is:

Organisation Claims → Independent Recognition → Contextual Corroboration → Citation → Mention → Comparison → Recommendation.

These outcomes are related, but they are not interchangeable.

A mature external authority strategy therefore evaluates:

• who references the organisation;
• why the organisation is referenced;
• which subjects are associated with it;
• whether the reference is genuinely independent;
• whether the source is credible and relevant;
• whether research outputs are independently recorded;
• whether the organisation is cited as a source;
• whether the brand is explicitly mentioned;
• whether it appears in comparison and recommendation environments; and
• whether multiple independent sources converge around the same underlying entity.

External authority is therefore not a volume contest. It is the development of a distributed and credible evidence environment around an identifiable organisation.

CGO Media Entity Authority Principle

First-party evidence defines the entity. Independent evidence corroborates the entity.

The strongest organisational knowledge architecture does not depend solely on what a company says about itself. It develops when relevant external environments independently recognise the organisation, its people, its research and its areas of expertise.

Key Evidence Sources for Observations 21–30

Google Search Central — Spam Policies for Google Web Search.

Google Search Central — Site Reputation Abuse Policy.

Semrush — 2026 Ghost Citations Study.

Semrush — 2026 AI visibility research examining citations and brand mentions across major AI search environments.

Important: CGO Media does not interpret an external mention, backlink, citation or repository record as a standalone AI ranking signal. These observations evaluate how external sources contribute to a broader evidence environment surrounding an organisation.

Research Observation 31

Recognisable People Can Strengthen Organisational Understanding

Evidence Type: Structured Data Standards + CGO Media Research Interpretation

Organisations are often understood partly through the people associated with them. Founders, executives, researchers and subject specialists can each exist as identifiable entities with their own names, biographies, profiles and publication histories.

When those relationships are explicit, the organisation becomes connected to a network of people rather than existing only as a corporate name.

Evidence Basis:
Google ProfilePage and Article structured-data guidance; Schema.org Person and Organization relationships.

Research Observation 32

Author Pages Should Function as Entity Hubs, Not Decorative Profiles

Evidence Type: Google Documentation + CGO Media Research Interpretation

An author page can provide more than a short biography. It can connect a person with their organisational role, publications, areas of expertise, external profiles, research outputs and other verifiable information.

Evidence Basis:
Google Search Central — ProfilePage Structured Data and Article Author Guidance.

Research Observation 33

Authorship Becomes Stronger When It Is Consistent Across Multiple Publications

Evidence Type: CGO Media Research Interpretation

An author who appears once provides limited evidence of an ongoing relationship with a subject. A repeated publication history can create a much clearer connection between the person and the topics they consistently write or research about.

Evidence Basis:
CGO Media author-entity and topical evidence methodology.

Research Observation 34

Original Research Can Create Stronger Evidence Than Repeated Commentary Alone

Evidence Type: Research Publishing Observation

Commentary can demonstrate that an organisation discusses a subject. Original research can go further by providing evidence that the organisation has collected, analysed, structured or interpreted new information.

Research may take the form of datasets, observations, surveys, statistical analysis, frameworks, comparative studies or long-form evidence reviews.

Evidence Basis:
Research publishing standards and CGO Media research methodology.

Research Observation 35

Research Methodology Is Part of the Evidence Architecture

Evidence Type: Research Methodology Principle

A research conclusion is easier to evaluate when readers can understand how the evidence was collected, analysed and interpreted.

Methodology therefore contributes to organisational credibility because it allows journalists, researchers and other readers to assess the basis of the claim.

Evidence Basis:
CGO Media Research Methodology principles and standard research transparency practices.

Research Observation 36

Persistent Publication Records Extend Research Beyond the Corporate Website

Evidence Type: Research Infrastructure Observation

Research that exists only on a company website depends entirely on that domain for discovery and identification. Repository records, persistent identifiers and external research profiles can create additional records of the same publication.

Evidence Basis:
Research repository practices and CGO Media publication architecture.

Research Observation 37

Digital PR Can Strengthen Entity Evidence When the Organisation Is Relevant to the Story

Evidence Type: Digital PR Research Interpretation

Digital PR can create external references to organisations, researchers and original evidence. Its value is greatest when the organisation has a legitimate reason to appear in the editorial context.

Examples include original research findings, expert commentary, sector analysis, datasets, surveys and relevant specialist insight.

Evidence Basis:
CGO Media Digital PR and external authority research.

Research Observation 38

Expert Commentary Can Connect a Person Entity With a Defined Subject

Evidence Type: Entity Relationship Observation

When a journalist, publication or specialist source quotes an identifiable person on a subject, that reference can create an external relationship between the person, the organisation and the topic.

The strength of that relationship depends on the relevance and credibility of the context.

Evidence Basis:
CGO Media digital PR and entity association methodology.

Research Observation 39

Organisational Expertise Is Stronger When People and Evidence Support the Same Subjects

Evidence Type: CGO Media Research Synthesis

An organisation’s topical position becomes more coherent when the same subject areas appear across multiple evidence types.

For example:

• the organisation publishes research on the subject;
• recognised authors write repeatedly about the subject;
• datasets or frameworks support the subject;
• external publications quote those people on the subject;
• repository records confirm relevant research outputs; and
• independent sources reference the organisation within the same subject area.

Evidence Basis:
CGO Media Entity Authority research synthesis.

Research Observation 40

People, Research and External Evidence Can Form an Organisational Authority Network

Evidence Type: CGO Media Research Synthesis

The strongest organisational evidence environments connect people, publications, research assets and external references rather than treating each as a separate marketing activity.

A connected model may include:

• an identifiable organisation;
• recognisable researchers or specialists;
• author profiles;
• original research;
• datasets and frameworks;
• repository records;
• persistent identifiers;
• journalist citations;
• expert commentary;
• independent media coverage; and
• external references to the same subject areas.

Evidence Basis:
CGO Media Entity Authority, Content Authority, Digital PR and Knowledge Architecture research.

What Observations 31–40 Tell Us

The fourth layer of Entity Authority is human and research evidence.

An organisation becomes easier to understand when there are identifiable people behind its expertise and identifiable outputs behind its claims.

The progression is:

Organisation → People → Expertise → Publications → Research → Independent Recognition.

A strong evidence architecture therefore connects:

• recognisable founders, executives and researchers;
• consistent author identities;
• substantive publication histories;
• original research and datasets;
• transparent research methodology;
• persistent publication records;
• relevant digital PR;
• expert commentary;
• independent editorial references; and
• consistent topical relationships between people, organisation and evidence.

The important principle is that people should not be manufactured as artificial “expert entities”. Their authority should emerge from genuine roles, identifiable contributions, published work and independent corroboration.

CGO Media Entity Authority Principle

Organisations make claims. People create evidence. Research demonstrates capability. External sources provide corroboration.

Entity Authority becomes substantially stronger when these four layers reinforce one another around the same subjects.

Key Evidence Areas for Observations 31–40

Google Search Central — ProfilePage Structured Data.

Google Search Central — Article Structured Data and Author Markup.

Google Search Central — Dataset Structured Data.

Schema.org — Person, Organization, author, creator, publisher and subject relationships.

Research repositories and persistent identifier systems including ORCID and institutional research identifiers.

CGO Media — Research Methodology, Digital PR, Content Authority and Entity Authority research frameworks.

Evidence Note: The presence of an author page, repository profile, press quotation or research publication should not be interpreted as an automatic ranking advantage. Their value lies in contributing additional identifiable and corroborating evidence around people, organisations and subject expertise.

Research Observation 41

Entity Authority Requires Continuous Measurement

Evidence Type: CGO Media Research Framework

An organisation’s entity environment changes continuously. New publications appear, employees join or leave, external profiles evolve, products change and independent references accumulate.

Evidence Basis:
CGO Media Entity Authority measurement framework.

Research Observation 42

Entity Consistency Should Be Audited Across Multiple Environments

Evidence Type: CGO Media Research Framework

Organisations rarely exist in only one digital environment. Their identity may appear across websites, social profiles, research repositories, business databases, directories, media articles and AI-generated responses.

Evidence Basis:
CGO Media cross-platform entity auditing methodology.

Research Observation 43

Entity Conflicts Should Be Treated as Governance Issues

Evidence Type: CGO Media Research Interpretation

Conflicting information often emerges because different departments, websites, profiles and external sources are maintained independently.

Typical conflicts include:

• different company descriptions;
• outdated employee roles;
• incorrect addresses;
• inconsistent brand names;
• old service descriptions;
• duplicated organisation profiles; and
• different publication or author identities.

Evidence Basis:
CGO Media entity governance methodology.

Research Observation 44

Entity Freshness Matters Where Organisational Facts Change

Evidence Type: Information Quality Principle

Entity information can become inaccurate even when it was originally correct. Leadership changes, locations close, services evolve and research programmes expand.

Evidence Basis:
CGO Media information-quality and entity-maintenance framework.

Research Observation 45

AI Visibility Should Be Measured Beyond Rankings

Evidence Type: AI Search Measurement Framework

Traditional search measurement has historically concentrated on rankings, impressions, clicks and conversions. AI-mediated discovery introduces additional visibility outcomes.

These include:

• being cited as a source;
• being mentioned by name;
• being included in comparisons;
• being shortlisted;
• being recommended; and
• being associated with a particular subject.

Evidence Basis:
CGO Media AI Visibility and Entity Authority measurement framework.

Research Observation 46

Entity Authority Should Be Measured Through Multiple Dimensions

Evidence Type: CGO Media Research Model

A single score cannot explain every aspect of Entity Authority. An organisation may have strong identity clarity but weak external corroboration, or excellent research evidence but poor profile consistency.

Evidence Basis:
CGO Media Entity Authority measurement model.

Research Observation 47

Entity Maturity Develops Through Progressive Organisational Capability

Evidence Type: CGO Media Maturity Model

Organisations differ substantially in how well their entity environment is managed. Some have fragmented identity data, while others operate structured research, author, schema, repository and external evidence programmes.

Evidence Basis:
CGO Media Entity Authority Maturity Model.

Research Observation 48

High Entity Authority Requires Organisational Coordination

Evidence Type: Governance Research Interpretation

Entity signals are usually produced by multiple teams. SEO manages technical representation, PR manages external coverage, research teams publish evidence, HR maintains people information and corporate teams manage official identity.

Evidence Basis:
CGO Media entity governance and organisational maturity framework.

Research Observation 49

Entity Authority Supports AI Readiness but Does Not Guarantee AI Recommendation

Evidence Type: CGO Media Research Synthesis

Clear identity, strong research, independent evidence and consistent relationships can improve the information environment surrounding an organisation. However, no public evidence supports the claim that these factors guarantee recommendation by any AI platform.

Evidence Basis:
CGO Media AI Search Readiness and Entity Authority research synthesis.

Research Observation 50

Entity Authority Is Best Treated as a Long-Term Organisational Asset

Evidence Type: CGO Media Research Synthesis

The strongest conclusion from the fifty observations is that Entity Authority is not created through one schema deployment, one PR campaign, one research paper or one backlink programme.

It develops progressively through the interaction of:

• clear organisational identity;
• accurate structured information;
• recognisable people;
• consistent topical relationships;
• original research;
• persistent publication records;
• independent corroboration;
• external citations and mentions;
• AI visibility monitoring;
• continuous governance; and
• long-term evidence development.

Evidence Basis:
Synthesis of all 50 CGO Media Entity Authority Research Observations.

What Observations 41–50 Tell Us

The fifth and final layer of Entity Authority is measurement and governance.

The full progression across the fifty observations is:

Identity → Relationships → External Corroboration → Human & Research Evidence → Measurement & Governance.

A mature organisation should be able to answer five questions:

• Identity: Can machines clearly determine who we are?
• Relationships: Can they understand the people, topics, services and publications connected to us?
• Evidence: Do independent sources corroborate those relationships?
• Authority: Is there meaningful evidence demonstrating why we should be associated with those subjects?
• Governance: Are we measuring and maintaining these signals consistently over time?

The objective is not to manufacture an artificial entity signal. It is to create a progressively clearer and more credible information environment around the organisation.

CGO Media Entity Authority Model

Entity Authority = Identity Clarity + Relationship Strength + Topical Evidence + Independent Corroboration + Research Evidence + Governance.

This formula is a CGO Media research framework. It is not presented as a disclosed ranking formula used by Google, ChatGPT, Gemini or any other search or AI platform.

CGO Media Entity Authority Maturity Levels

Level 1 — Fragmented: Identity and external information are inconsistent, disconnected or poorly maintained.

Level 2 — Defined: Core organisational identity, people and services are clearly documented but relationships remain limited.

Level 3 — Structured: Identity, schema, authors, research and external profiles are deliberately connected.

Level 4 — Integrated: Research, content, PR, people, repositories and external authority reinforce the same organisational and topical relationships.

Level 5 — Adaptive: Entity evidence is continuously monitored, measured and refined across search and AI environments.

Research Positioning Note

The CGO Media Entity Authority model is an independent research framework designed to help organisations assess how clearly and credibly they are represented across search and AI information environments.

It does not claim that Google, OpenAI, Anthropic, Microsoft, Perplexity or any other platform uses a metric called “Entity Authority”.

The framework combines documented structured-data practices, entity relationships, research publishing principles, external corroboration and observable AI visibility outcomes into one organisational measurement model.

The Central Finding

Entity Authority develops when multiple independent and first-party evidence sources converge around a clearly identifiable organisation.

The objective is not repetition for its own sake. It is coherence. An organisation becomes easier to interpret when its website, people, research, profiles, publications and external references broadly agree about who it is, what it does and where its expertise sits.

CGO Media Interpretation

Recognition is the prerequisite. Authority is the accumulation. An organisation must first become sufficiently identifiable before a wider evidence network can reinforce what that organisation represents.

Person → Role → Expertise → Publication → Research → Organisation → External Recognition

CGO Media Measurement Principle

Citation measures source use. Mention measures brand visibility. Comparison measures consideration. Recommendation measures selection.

No single one of these outcomes should be used as a complete proxy for AI authority.

The Overall Research Conclusion

The evidence reviewed across these fifty observations supports a broader way of thinking about organisational search visibility.

Organisations are increasingly represented through networks of information rather than isolated webpages.

Those networks contain names, people, topics, research, structured data, external references, citations, profiles and publications. When these elements remain disconnected or contradictory, the organisational entity becomes harder to interpret. When they reinforce one another, the organisation develops a clearer and more credible evidence environment.

Entity Authority therefore emerges from consistency, relationships, evidence and corroboration — not from a single proprietary signal.

CGO Media Research Position

CGO Media does not claim that search engines or AI platforms calculate a metric called “Entity Authority”.

Entity Authority is a CGO Media framework for evaluating whether the information surrounding an organisation is sufficiently clear, connected, evidenced and corroborated to support stronger machine understanding across modern search environments.

Priority Action

Create a central organisational identity record that acts as the internal source of truth for web, PR, research, legal, directory and profile information.

Audit Question: If a machine compared the ten most important sources describing the organisation, would they broadly agree on who the organisation is and what it does?

Important

Structured data should describe the entity accurately. It should not be used to invent expertise, inflate authority or create relationships that do not exist in the visible organisation.

Implementation Principle: Build depth around strategically important subjects before expanding into adjacent areas.

Better Digital PR Question

Do not ask only: “Can this earn a link?”

Also ask: “Does this reference help explain who we are, what we know and why an independent source associates us with this subject?”

Strategic Principle: Build Entity Authority as infrastructure, not as a short campaign.

2026 Entity Authority Priority Sequence

For organisations starting from a relatively immature position, CGO Media recommends the following order:

1. Fix Identity → 2. Connect People → 3. Structure Relationships → 4. Build Evidence → 5. Publish Research → 6. Develop External Corroboration → 7. Measure AI Visibility → 8. Establish Governance.

This sequence matters because later authority layers depend on the quality of the foundations beneath them.

CGO Media Implementation Principle

Do not attempt to optimise the organisation for AI systems before the organisation itself is clearly represented.

The highest-priority work is often not “AI optimisation” at all. It is improving identity, research, authorship, structured information and external corroboration so that search and AI systems have better evidence to work with.

Important Measurement Note

The CGO Media Entity Authority Score is a diagnostic model. It is not a Google metric, an OpenAI score, a Gemini score or a disclosed measurement used by any search or AI platform.

CGO Media Measurement Principle

The weakest dimension often provides a more useful implementation priority than the total score itself.

How to Use the Framework

The Entity Authority Score should be used as a diagnostic system rather than a target to maximise artificially.

The recommended process is:

Baseline → Score Each Dimension → Identify the Weakest Capability → Prioritise Improvement → Re-measure → Compare Against Baseline.

The value of the framework lies in showing where organisational evidence is weak, not in claiming that a particular score guarantees rankings, citations or AI recommendations.

Diagnostic, Not Predictive

A score of 30 does not guarantee that an organisation will rank first in Google, receive citations from AI systems or be recommended by ChatGPT, Gemini, Claude, Perplexity or any other platform.

The framework measures the quality and maturity of the organisation’s evidence environment. It does not attempt to reverse-engineer undisclosed ranking or recommendation algorithms.

Trend 1

Brand Search Results Are Becoming More AI-Mediated

Branded searches increasingly trigger AI-generated summaries and other machine-mediated search experiences rather than relying solely on traditional organic listings.

This increases the importance of maintaining accurate organisational information across multiple sources because AI-generated brand summaries may draw from a wider evidence environment than the official website alone.

Trend 2

Third-Party Sources Will Have Greater Influence Over Brand Representation

Organisations can control their own website, but they cannot completely control how external publications, repositories, databases and professional profiles describe them.

As AI systems synthesise information across multiple sources, third-party evidence will become increasingly important to how an organisation is represented.

Trend 3

Citation Visibility and Brand Visibility Will Be Managed Separately

The distinction between source citation and explicit brand mention is likely to become a standard part of AI visibility reporting.

Organisations will increasingly track whether their content is being used as a source, whether their brand is being named, and whether they are being compared or recommended.

Trend 4

Entity Disambiguation Will Become a Larger Technical Priority

Organisations with similar names, multiple brands, historic domains, several regional operations or inconsistent profiles create additional interpretation challenges.

Technical SEO programmes will increasingly need to consider entity identity and relationship clarity alongside crawling, indexing and page-level optimisation.

Trend 5

Structured Data Will Remain Important as Description, Not Magic

Structured data will remain useful because it gives organisations a machine-readable method for describing entities and relationships explicitly.

However, schema markup should increasingly be understood as a clarification mechanism rather than an authority shortcut. It describes evidence; it does not replace evidence.

Trend 6

People Entities Will Become More Important for Expertise-Led Organisations

Professional services firms, consultancies, research organisations, healthcare providers, legal firms and other expertise-led businesses depend heavily on identifiable people.

Clear relationships between experts, authors, research outputs and organisations are likely to become an increasingly important part of organisational evidence architecture.

Trend 7

Original Research Will Become a More Valuable Search Asset

As generic informational content becomes easier to generate, original evidence becomes more differentiated.

Research, datasets, observations, surveys and proprietary frameworks can create source material that journalists, researchers, search engines and AI systems may reference independently.

Trend 8

Research Assets Will Become More Structured and Persistent

Research publishing will increasingly extend beyond individual website pages.

DOIs, repositories, author identifiers, dataset records, downloadable papers and consistent metadata will become more important for organisations that want research to remain discoverable and attributable over time.

Trend 9

Search Optimisation Will Become More Organisation-Level

SEO has traditionally concentrated heavily on individual URLs and keyword groups.

Future optimisation programmes are likely to place greater emphasis on whether the organisation itself is understandable across multiple environments, not simply whether individual pages rank.

Trend 10

Content Volume Will Lose Ground to Evidence Density

Publishing large quantities of undifferentiated content does not necessarily strengthen organisational understanding.

A smaller number of pages containing original evidence, expert attribution, research, structured relationships and independent references may provide substantially stronger evidence than large volumes of generic material.

Trend 11

Digital PR and Entity Strategy Will Converge

Digital PR will increasingly be evaluated not only by links and reach but also by the relationships external coverage creates around the organisation.

Relevant media coverage can connect an organisation with its experts, research, products, services and subject areas across credible external environments.

Trend 12

AI Search Monitoring Will Become Standard Brand Measurement

Organisations will increasingly need to understand how they appear across ChatGPT, Gemini, Google AI experiences, Perplexity and other AI-mediated discovery systems.

Monitoring will likely move from occasional manual checks towards repeatable query sets covering recognition, citation, mention, comparison and recommendation.

Trend 13

Brand Accuracy Will Become a Search Risk-Management Issue

Incorrect organisational information can affect more than local listings or directory consistency.

As AI systems synthesise information, outdated descriptions, incorrect executives, old addresses and conflicting external records can influence how an organisation is represented to users.

Trend 14

Independent Corroboration Will Become Harder to Manufacture

Search and AI ecosystems are increasingly exposed to large quantities of low-quality, duplicated and artificially generated content.

This increases the relative value of genuine independent evidence such as editorial coverage, research citations, established professional profiles, recognised repositories and other externally controlled references.

Trend 15

Entity Governance Will Move Beyond the SEO Team

The information needed to maintain organisational clarity is distributed across leadership, HR, PR, research, legal, marketing, content and technical teams.

As entity representation becomes more important, ownership of organisational identity and evidence governance will increasingly become a cross-functional responsibility.

Research Caution

These trends describe emerging patterns and strategic implications. They should not be interpreted as confirmation that search engines or AI platforms use a proprietary metric called Entity Authority.

Search and AI systems continue to evolve quickly, and organisations should distinguish between documented platform behaviour, independent research findings and forward-looking interpretation.

CGO Media 2027 Entity Authority Principle

The future of search visibility is unlikely to be page-only. It will increasingly be organisation, evidence and relationship aware.

Organisations that make themselves easy to identify, verify and understand across multiple independent environments are likely to be better prepared for this shift than organisations that continue to optimise webpages in isolation.

Trend Summary

The direction of travel across 2026–2027 can be summarised as:

Pages → Entities → Relationships → Evidence → Corroboration → AI Visibility → Recommendation Visibility

Traditional SEO remains part of this system, but organisational visibility increasingly depends on how well the wider evidence environment supports and explains the entity behind the website.

Methodology Principle

Documented platform behaviour, independent evidence and CGO Media interpretation are treated as separate evidence classes throughout the research.

• That Google uses a ranking factor called Entity Authority.
• That ChatGPT, Gemini, Claude, Perplexity or another AI system uses a universal entity score.
• That adding structured data automatically improves rankings.
• That backlinks automatically create Entity Authority.
• That an unlinked mention automatically improves AI visibility.
• That repository publication guarantees citation.
• That author pages automatically create expertise.
• That one AI response represents stable platform behaviour.
• That correlation between a signal and visibility proves causation.
• That the CGO Media scorecard predicts platform rankings or recommendations.

Measurement Principle: AI visibility should therefore be evaluated across repeated query sets and multiple observations rather than inferred from one response.

An organisation may have strong research, extensive press coverage and high AI visibility at the same time.

That does not automatically prove that any one of those factors directly caused the visibility outcome.

Where causal evidence is unavailable, this research describes relationships, associations and practical implications rather than presenting correlation as proven causation.

Methodology Summary

The AI Entity Authority Research UK 2026 study contains:

• 50 evidence-led research observations;
• 6 measurement dimensions;
• a maximum diagnostic score of 30 points; and
• 5 Entity Authority maturity levels.

The framework is designed to support organisational diagnosis, research and implementation. It is not presented as a disclosed platform ranking model.

Research Transparency

CGO Media welcomes corrections where source information has changed or where a research statement can be made more precise.

The objective of the methodology is not to present certainty where none exists, but to create a clearly sourced and reproducible framework for evaluating organisational entity visibility.

What is Entity Authority?

Entity Authority is CGO Media’s framework for evaluating how consistently an organisation can be identified, differentiated, associated with relevant subjects and supported by first-party and independent evidence across search and AI information environments.

Is Entity Authority a Google ranking factor?

No. CGO Media does not claim that Google uses a ranking factor called Entity Authority. The term is used in this research as an independent framework for evaluating organisational identity, relationships, evidence and external corroboration.

Why do entities matter in search and AI systems?

Search and AI systems often need to determine which organisation, person, product or concept a reference describes. Clear entity identity and relationships can make information easier to interpret, reconcile and connect across multiple sources.

How is Entity Authority different from traditional SEO authority?

Traditional SEO authority has often been discussed primarily in relation to pages, links and ranking strength.

Entity Authority takes a wider organisational view by examining identity, people, subjects, research, structured relationships, independent evidence and AI visibility alongside conventional SEO signals.

Does structured data create Entity Authority?

No. Structured data can help describe an organisation and its relationships in machine-readable form, but it does not create credibility or expertise by itself. It should represent evidence that already exists rather than substitute for that evidence.

Does Organization schema improve rankings?

Google documents Organization structured data as a way to help it understand administrative information about an organisation and distinguish one organisation from another. That documentation should not be interpreted as a guarantee of ranking improvement.

What is entity disambiguation?

Entity disambiguation is the process of distinguishing one entity from another when names or references could describe multiple organisations, people or concepts. Stable names, official URLs, identifiers and consistent external profiles can help reduce ambiguity.

What role does sameAs play?

The Schema.org sameAs property can connect an entity with another URL that unambiguously represents the same entity. It should be used for genuine identity references rather than as a generic list of links.

Do backlinks still matter for Entity Authority?

Backlinks remain an important part of the wider search environment, but Entity Authority should not be reduced to backlink volume. Links are one form of external evidence alongside citations, mentions, research references, professional profiles and independent editorial coverage.

Are unlinked brand mentions useful?

An unlinked mention can still provide information about an organisation and the context in which it is being discussed. However, its significance depends on the source, relevance, accuracy and surrounding subject matter. It should not automatically be treated as a ranking signal.

What is the difference between an AI citation and a brand mention?

An AI citation indicates that a source has been referenced or used to support an answer.

A brand mention means the organisation itself is explicitly named within the response. A source can be cited without the associated brand being mentioned.

Does being cited by an AI system mean a brand has strong Entity Authority?

Not necessarily. Citation shows that a source was useful within a particular response. Entity Authority considers a wider evidence environment including identity, people, research, topical relationships, external corroboration and repeated visibility over time.

What is recommendation visibility?

Recommendation visibility measures whether an organisation is actively presented as a suitable option in response to a relevant query. This is different from simply being cited as an information source or mentioned by name.

Why are people entities important?

People can connect an organisation with genuine expertise, research, authorship and professional activity. This is particularly important for organisations whose authority depends heavily on identifiable specialists, researchers, consultants or professionals.

Should every employee have an author or entity profile?

No. Profiles are most useful for people who genuinely contribute identifiable expertise, research, authorship, leadership or specialist activity. Creating thin profiles for every employee does not automatically strengthen organisational authority.

Can original research strengthen Entity Authority?

Yes, when the research is genuine, clearly attributed and methodologically transparent. Original research can connect an organisation with identifiable subjects, authors, data and external citations in a way that generic commentary often cannot.

Are research repositories useful for Entity Authority?

They can be useful because they provide independent publication records and persistent metadata connecting research with authors and organisations. Their main value is durable research identity, not simply backlink acquisition.

What is the CGO Media Entity Authority Score?

It is a 30-point diagnostic score across six dimensions: Identity Clarity, Relationship Strength, Topical Evidence, Research Authority, External Corroboration and AI Visibility.

Is the 30-point score used by Google or an AI platform?

No. It is an independent CGO Media diagnostic framework designed to help organisations identify gaps and measure progress. It is not endorsed or used by Google, OpenAI, Gemini, Claude, Perplexity or another platform.

What are the five Entity Authority maturity levels?

The five levels are Fragmented, Defined, Structured, Integrated and Adaptive. They describe progressively stronger organisational capability across identity, evidence, external corroboration, AI visibility and governance.

How long does Entity Authority take to build?

There is no fixed timeframe. Core identity issues can sometimes be corrected quickly, while research publishing, external corroboration, author development and AI visibility generally develop over a longer period. Entity Authority should be treated as organisational infrastructure rather than a short-term campaign.

How often should organisations audit Entity Authority?

CGO Media recommends a full scorecard review quarterly, with important organisational identity changes corrected as they occur. AI citation, mention and external corroboration monitoring may justify more frequent review for strategically important query sets.

Does high Entity Authority guarantee AI recommendations?

No. A strong evidence environment may improve organisational clarity and AI readiness, but recommendation depends on query context, relevance, source selection, platform architecture and other disclosed and undisclosed factors.

Can small businesses build Entity Authority?

Yes. Entity Authority does not require a large organisation. Small businesses can establish a clear identity, accurate profiles, recognised people, strong specialist content, relevant local or industry references and consistent evidence around a focused area of expertise.

Is Entity Authority only relevant to AI search?

No. Clear organisational identity, structured relationships, original evidence and credible external references are useful across traditional search, local search, research discovery, media relations and AI-mediated discovery.

What should an organisation fix first?

Start with identity clarity. Confirm the organisation’s primary name, canonical website, important profiles, contact information and key people before moving into research publishing, digital PR or AI visibility programmes.

What is the most important takeaway from the research?

Organisations should make themselves easier to identify, understand, verify and support with evidence. Entity Authority is not about manufacturing a hidden score; it is about building a coherent organisational evidence environment.

FAQ Summary

Entity Authority is not a disclosed ranking factor and should not be treated as one.

The practical objective is much simpler:

Make the organisation easier to identify, easier to understand, easier to verify and better supported by credible evidence.

That requires consistent identity, clear relationships, genuine expertise, durable research, independent corroboration and ongoing governance across both traditional and AI-mediated search environments.

Central Research Conclusion

Entity Authority develops when a clearly identifiable organisation is supported by consistent relationships, demonstrable expertise, original evidence and credible independent corroboration. It is not one signal. It is the cumulative coherence of the evidence surrounding the organisation.

Identify → Connect → Evidence → Corroborate → Measure → Govern → Improve

• Do not manufacture fake experts or researcher profiles.
• Do not create thin author pages purely for schema.
• Do not add unsupported expertise claims to structured data.
• Do not use sameAs as a generic backlink list.
• Do not manufacture research without transparent methodology.
• Do not acquire low-quality mentions at scale and label them Entity Authority.
• Do not upload documents to repositories purely to obtain links.
• Do not present CGO Media frameworks as disclosed Google or AI platform factors.
• Do not treat one AI-generated response as proof of stable platform behaviour.
• Do not present correlation as causation without supporting evidence.

Final Research Position

Entity Authority is an independent CGO Media research framework.

It is not presented as a proprietary metric used by Google, OpenAI, Gemini, Claude, Perplexity or any other search or AI platform.

Its purpose is to provide organisations with a practical way to evaluate whether their identity, relationships, evidence and independent corroboration are sufficiently coherent to support stronger machine understanding across modern discovery environments.

CGO Media Research Team (2026). AI Entity Authority Research UK 2026 — 50 Evidence-Led Observations on Entity Recognition, Trust & AI Visibility. CGO Media.

DOI:

10.5281/zenodo.22767382

The archived research record is available through Zenodo. The DOI provides a persistent reference for researchers, journalists and publishers citing this publication.

Example: CGO Media, AI Entity Authority Research UK 2026, Research Observation 22.

Research Transparency & Corrections

CGO Media welcomes corrections where source information has changed, a reference has been updated or a research statement can be made more precise.

Material revisions should be reflected in the research review date and, where appropriate, the associated repository record.

1. Google Search Central — Organization Structured Data.
   
   developers.google.com
   
2. Google Search Central — ProfilePage Structured Data.
   
   developers.google.com
   
3. Google Search Central — Article Structured Data.
   
   developers.google.com
   
4. Google Search Central — Dataset Structured Data.
   
   developers.google.com
   
5. Google Search Central — Structured Data General Guidelines.
6. Google Search Central — Spam Policies for Google Web Search.
   
   developers.google.com
   
7. Google Search Central — Site Reputation Abuse Guidance.
8. Schema.org — Entity and Relationship Vocabulary. Includes Organization, Person, sameAs, about, subjectOf, mentions, knowsAbout, author, creator, publisher and Dataset.
   schema.org
   
9. Semrush — The Ghost Citations Study, 2026. Independent research examining the relationship between AI citations and explicit brand mentions.
10. Ahrefs — AI Overviews on Branded Searches, 2026. Study of branded-query AI Overview prevalence within its measured US desktop dataset.
11. ORCID. Persistent researcher identification infrastructure.
    
    orcid.org
    
12. Research Organization Registry (ROR). Persistent institutional identifier infrastructure.
    
    ror.org
    
13. CGO Media Research Methodology.
    
    CGO Media Research Methodology
    
14. CGO Media Knowledge Architecture Research. Research and frameworks examining entities, relationships, evidence systems and organisational knowledge architecture.
15. CGO Media AI Search Readiness & Citation Research. Supporting research examining AI search visibility, citation selection, authority signals and recommendation environments.

Source Interpretation Standard

The inclusion of a source does not imply that the source publisher endorses CGO Media’s Entity Authority Framework.

Platform documentation and third-party studies are used to support specific underlying observations. The Entity Authority framework, measurement scorecard and maturity model are CGO Media’s independent analytical interpretation of the combined evidence.

Final Research Statement

The objective of Entity Authority is not to manufacture machine signals.

It is to ensure that an organisation is represented with greater accuracy, identifiability, connectedness, attribution, evidence and independent corroboration across the information environments through which people and machines increasingly discover it.

Research Publication Information