STATISTICS LIBRARY

CGO Media
Statistics Library

Independent statistical research on Al search, GEO, SEO and digital visibility in the UK and global markets.

Explore our complete collection of statistical analysis, market data and user behaviour research, developed by Roger Wilkinson and published by CGO Media.

STATISTICS RESEARCH ARCHITECTURE

How the Statistics Connect

Our statistical research is structured around key areas of Al search and digital visibility, providing a complete quantitative view of market adoption, user behaviour, citation patterns, search performance and commercial impact.

Market Adoption - Commercial Impact

STATISTICS RESEARCH ARCHITECTURE

How the Statistics Connect

Our statistical research is structured around key areas of Al search and digital visibility, providing a complete quantitative view of market adoption, user behaviour, citation patterns, search performance and commercial impact.

Uk statistics graph

Al Search Market Share 2026

AI search platform market share, competitive positioning, user adoption and usage trends across UK and global markets.

Updated: September 2026

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ChatGPT Usage Statistics UK 2026

UK ChatGPT adoption, user demographics, usage frequency, engagement trends and evolving AI interaction patterns.

Updated: September 2026

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Google Al Overview Statistics UK 2026

Google AI Overview prevalence, search visibility, citation patterns, source selection and impact on organic traffic.

Updated: September 2026

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Search Behaviour UK 2026

UK search habits, user engagement, click-through patterns, evolving search preferences and AI-driven changes in behaviour.

Updated: September 2026

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Small Business SEO Statistics UK 2026

UK search habits, user engagement, click-through patterns, evolving search preferences and AI-driven changes in behaviour.

Updated: September 2026

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Technical SEO Statistics UK 2026

Website crawling, indexing efficiency, Core Web Vitals, mobile usability and technical SEO performance benchmarks.

Updated: September 2026

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Ecommerce Search Statistics UK 2026

Product search behaviour, Al recommendations and purchase intent.

Updated: September 2026

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ai search traffic statistics uk 2026

AI Search Traffic Statistics UK 2026

AI-driven website traffic, referral patterns and changing search acquisition trends across industries.

Updated: September 2026

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ai citation statistics 2026

AI Citation Statistics 2026

How AI platforms select, reference and cite sources in generated search answers.

Updated: September 2026

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GEO Statistics UK 2026

Generative engine optimisation trends, AI visibility and brand representation in search results.

Updated: October 2026

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Enterprise SEO Statistics

Enterprise search performance, technical optimisation, organic visibility and large-scale SEO investment trends.

Updated: September 2026

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Voice Search Statistics UK 2026

Voice assistant adoption, UK usage trends, spoken search behaviour and common voice query patterns.

Updated: September 2026

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Link Building Statistics UK 2026

Backlink trends, referring domains, digital PR effectiveness and link authority in SEO.

Updated: September 2026

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Content Marketing Statistics UK 2026

Content performance, audience engagement, organic visibility and AI-driven content marketing trends.

Updated: September 2026

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website speed statistics uk

Website Speed Statistics UK 2026

Website loading speeds, Core Web Vitals, mobile performance and user experience benchmarks.

Updated: September 2026

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Digital Marketing Statistics UK 2026

Digital advertising, marketing investment, online engagement and customer acquisition trends across Britain.

Updated: September 2026

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SEO ROI Statistics UK 2026

SEO investment returns, organic revenue growth, acquisition costs and marketing profitability benchmarks.

Updated: September 2026

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Local SEO Statistics UK 2026

Local search rankings, Google Business Profiles, customer discovery and location-based search behaviour.

Updated: September 2026

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AI Search Statistics UK 2026

AI search adoption, platform usage, answer visibility and changing UK search trends.

Updated: September 2026

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UK SEO Statistics 2026

UK organic search trends, ranking performance, traffic distribution and search engine optimisation.

Updated: September 2026

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STATISTICS BY RESEARCH CATEGORY

Explore by Topic

Browse our statistical research by main topic.

ai search

Al Search
Statistics

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chatgpt

ChatGPT
Statistics

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research observations

Al Overviews Statistics

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search behaviour

Search Behaviour Statistics

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search statistics

Technical SEO Statistics

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local ai discovery

Local SEO
Statistics

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09 Ecommerce Retail Icon

Ecommerce Statistics

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SUPPORTING RESEARCH RESOURCES

Additional Research Resources

Complementary resources to support the statistics publications.

Research Library

In-depth research papers and analysis.
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Research Observations

Real-world insights and market observations.
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Framework Library

Analytical models and assessment frameworks.
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Research Methodology

Our approach, data sources and statistical methods.
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EXPLORE STATISTICS & CONTACT

Use Our Research to Inform Your Strategy

Access the complete statistics library or contact CGO Media to discuss your organisation’s SEO, Al search and GEO requirements.

Frequently Asked Questions

The CGO Media Statistics Library is a central collection of quantitative research covering search engine optimisation, artificial intelligence, generative engine optimisation (GEO), digital visibility and changing search behaviour. It brings together statistical research examining how search technologies, user behaviour and digital discovery are evolving. The library forms part of the wider CGO Media Research Architecture, connecting statistical evidence with academic research, analytical frameworks and practical applications.

The library covers AI search adoption, ChatGPT usage, Google AI Overviews, search behaviour, SEO performance, technical SEO, local search, ecommerce, content marketing, link building and digital marketing trends. Individual publications examine particular subjects and provide supporting explanations, sources and methodological context. Readers can explore related theoretical research through the CGO Media Research Library.

CGO Media’s statistical publications draw on relevant research studies, industry datasets, publicly available reports and other documented evidence sources. Evidence should be evaluated for relevance, publication date, methodology, sample characteristics and limitations before being used to support conclusions. The CGO Media Research Methodology explains the broader principles governing research design, evidence assessment and analytical transparency.

CGO Media aims to evaluate statistical evidence independently and distinguish externally reported findings from its own analysis and interpretation. However, the level of independent verification depends on the availability of underlying datasets, research documentation and reproducible methods. Where findings originate from third-party studies, the original source remains important. Readers should consult the methodology and references provided in each publication.

Statistics are reviewed and revised when relevant new evidence, updated datasets or significant developments justify changes. Update frequency varies because some measurements change rapidly, while others depend on annual surveys or periodic industry studies. Publication dates and revision information should be considered when interpreting findings. The Latest Research page provides access to recent publications and research developments.

Google AI Overview statistics examine the appearance, distribution and characteristics of AI-generated summaries within Google Search. Research may investigate how frequently summaries appear, which query categories trigger them, how sources are cited and how user interactions differ from conventional search results. Findings can vary significantly by location, device, query sample and collection period. Related analysis is available in How Google AI Overviews Are Reshaping Organic Search.

ChatGPT usage statistics examine adoption, usage frequency, user demographics, common tasks and patterns of interaction with conversational AI. Depending on the source, measurements may concern registered users, active users, website visits, application usage or survey-reported behaviour. These indicators are not interchangeable. Researchers must distinguish between platform activity, individual adoption and commercial usage when interpreting reported figures.

Generative engine optimisation statistics investigate visibility and representation within AI-generated answers, including citation frequency, source inclusion, brand mentions and recommendation patterns. They may also examine the characteristics of content appearing in generative responses. GEO measurement remains an evolving research area, and observed associations should not automatically be interpreted as causal ranking factors. The CGO GEO Methodology Framework provides additional context.

Conventional ranking statistics typically examine a website’s position within ordered search results. AI citation statistics instead investigate whether particular sources are referenced, attributed or included within generated responses. A source may appear prominently in traditional search without being cited in an AI answer, and the reverse can also occur. The AI Citation Selection in Generative Search research explores this distinction.

Search behaviour statistics help explain how people formulate queries, select information sources, evaluate results and interact with emerging technologies. Changes in behaviour can influence content strategy, platform selection, website design and digital marketing investment. Understanding these patterns is particularly important as users increasingly combine traditional search with conversational AI and recommendation systems. The AI Search Behaviour Statistics UK 2026 publication examines this developing area.

AI search statistics may be affected by rapidly changing platforms, limited access to proprietary systems, inconsistent measurement definitions, personalised outputs and variations across prompts or geographic markets. Survey-based findings can also be influenced by sampling and self-reporting biases. Consequently, individual figures should be interpreted within their documented methodological context. The Research Methodology page provides further guidance on evidence evaluation and research limitations.

Historical statistics and emerging measurements can inform scenarios about future search behaviour, technology adoption and market development. However, forecasts remain uncertain because platform changes, regulation, consumer preferences and technological advances may alter existing trends. Statistical projections should therefore distinguish between observed evidence, modelling assumptions and speculative outcomes. The Next Decade of Search research examines longer-term developments in digital discovery.

Traditional SEO statistics generally examine search rankings, organic traffic, indexing, click-through rates and website performance. AI search statistics additionally investigate generated answers, source citations, AI-assisted discovery, recommendation visibility and changing user interactions with conversational systems. These areas overlap but require different measurement approaches. The State of Search research examines the broader transformation of the search environment.

Businesses can use statistical evidence to identify emerging search trends, assess changing user behaviour, evaluate visibility opportunities and prioritise investment. Statistics can also inform technical improvements, content development, entity optimisation and performance measurement. However, industry-level findings should be interpreted alongside an organisation’s own analytics and competitive environment. The CGO Visibility Framework provides a structured approach to understanding digital visibility.

AI search adoption statistics examine how users interact with conversational AI, generative search results and AI-assisted information discovery. They may measure usage frequency, awareness, demographic differences, task preferences and changes in traditional search behaviour. Results depend on survey populations, measurement periods and definitions of AI search. Readers should avoid treating statistics from different studies as directly comparable without examining their methodologies.

Search visibility can be assessed through multiple indicators, including rankings, organic traffic, impressions, citations, brand mentions, referral activity and conversions. AI-generated answers introduce additional challenges because responses can vary across prompts, platforms and time. No single metric provides a complete representation of performance. The CGO AI Search Readiness Framework examines organisational preparation for these changing discovery environments.

Yes. CGO Media’s publicly available statistical publications may be referenced in academic writing, professional reports and industry analysis, subject to applicable copyright and licensing terms. Citations should identify the specific publication, author or research team, publication date, relevant URL and DOI where available. When a statistic originates from an external study, researchers should also consult and cite the original evidence source rather than relying exclusively on a secondary summary.

Yes. The Statistics Library includes research concerning technical SEO and website performance, including areas such as crawling, indexing, structured data, website speed and technical accessibility. These indicators can help organisations understand common technical challenges and prioritise further investigation. However, industry statistics cannot replace an assessment of an individual website’s technical condition. CGO Media also provides information about its Technical SEO Audit service.

The research programme includes ecommerce SEO statistics examining search visibility, product discovery, organic traffic, purchasing behaviour and digital retail performance. These findings can help retailers assess how traditional search and AI-assisted discovery influence the customer journey. Interpretation should account for differences between industries, product categories and business models. The E-commerce SEO in an AI-Driven Search Landscape research provides additional context.

Statistics can help researchers investigate associations between brand recognition, entity representation, source visibility, citations and AI-generated recommendations. Such analysis may reveal patterns in how organisations appear across different discovery environments. However, statistical relationships do not necessarily establish the mechanisms responsible for inclusion or recommendation. The Entity Authority in AI Search paper examines the wider importance of entity understanding.

Research statistics primarily communicate quantitative measurements, numerical relationships and reported trends. Research observations focus on identifying, interpreting and documenting patterns or behaviours that may not yet support reliable numerical generalisation. Both contribute to understanding emerging search technologies, but they serve different analytical purposes. The CGO Media Research Observations Library provides access to the separate observation programme.

Conflicting findings should be assessed by examining their definitions, sample sizes, research periods, geographic coverage, data collection methods and analytical assumptions. Apparent disagreements may arise because studies measure different populations or use different definitions of the same concept. Readers should avoid selecting figures solely because they support a preferred conclusion. Where uncertainty cannot be resolved, it should be acknowledged rather than concealed.

The Statistics Library supplies quantitative context that can inform the development, assessment and refinement of research frameworks. Statistical evidence may help identify relevant variables, establish measurement priorities and evaluate whether proposed models reflect observed conditions. Frameworks then organise these findings into structured analytical approaches. The CGO Media Framework Library provides access to the wider collection of research models and strategic frameworks.

Readers can explore the wider programme through the Research Library, Research Observations Library, Framework Library and Sector Research collection. The Research Architecture explains how these resources connect within CGO Media’s broader research programme, while the Research Methodology documents the principles supporting their development.

Conclusion

CGO Media’s Statistics Library connects quantitative evidence with wider research into AI search, GEO, SEO and digital visibility. By examining statistical findings alongside their sources, methodologies and limitations, organisations can develop a more informed understanding of changing search environments and emerging opportunities.

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For Journalists & Researchers

Access original research, statistics, sector analysis and expert commentary on AI Search, GEO, SEO and the changing search landscape. Find evidence, figures and specialist insight designed to support journalists, researchers and publications.