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Insights

A practical guide to GEO, SEO, AI visibility, and how we work

Instead of scattering definitions, research notes, case studies, and about pages across dozens of thin URLs, this page gives the full context in one place: what GEO is, how it connects to SEO, what to measure, and what a credible programme looks like.

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What generative engine optimisation is

Generative engine optimisation is the practice of making an organisation understandable, trustworthy, and useful to AI systems that generate answers. It is not a trick for ChatGPT and it is not a replacement for SEO. It is the next layer of search visibility.

SEO asks whether a page can be crawled, indexed, ranked, and retrieved. GEO asks whether the wider information ecosystem gives AI systems enough evidence to mention, cite, summarise, and recommend the organisation accurately. The two disciplines overlap in technical quality, content depth, entity clarity, and authority building.

The visibility framework

Crawl and index visibility

Can search engines and AI retrieval systems access the pages, render the content, understand canonicals, and trust the technical foundation?

Ranking and retrieval visibility

Does the site appear for commercial and informational queries that buyers use, and can those pages be retrieved by AI-powered search surfaces?

Answer visibility

Does the brand appear in AI summaries, recommendations, comparison prompts, and category questions across ChatGPT, Gemini, Perplexity, Copilot, Claude, and Google AI features?

Entity visibility

Do knowledge graphs, schema, business profiles, publications, and third-party sources agree on who the organisation is, what it does, where it operates, and who represents it?

Citation visibility

Do credible external sources mention and support the brand in the contexts where AI systems look for corroboration?

Why thin content fails in both SEO and GEO

Thin pages usually fail because they do not answer a real decision-making question. A page titled "AI citation optimisation" with a short definition is not enough. The reader needs to understand the problem, why it matters, how it connects to SEO, what work is involved, what proof is required, and when to prioritise it.

AI systems have the same problem with thin pages. A generic page gives them little to quote and little reason to trust the claim. Strong pages include definitions, evidence, methods, examples, limitations, authorship, and links to credible corroborating sources.

Case-study patterns we see

Many enterprise visibility problems are really entity problems. Subsidiaries are conflated, old trading names remain prominent, executives are not connected to the organisation, or structured data says less than the visible content. Rankings may look stable while AI systems describe the brand incorrectly.

Other problems are authority problems. The brand has useful expertise but no external citation footprint. Competitors appear in media, directories, reports, and expert commentary while the better-known offline brand is under-represented online. GEO turns that into an operational workstream: publish evidence, earn mentions, update entity data, and monitor answer change.

Our methodology

We start with measurement: search visibility, AI answer visibility, entity completeness, citation sources, technical access, and competitor answer share. That tells us whether the problem is access, content, entity, authority, reputation, or governance.

Implementation then follows the evidence. Some brands need technical SEO first. Some need service pages rebuilt. Some need executive authority. Some need digital PR. Most need a sequence of all four, but not all at once and not with equal priority.

What we believe

Evidence beats volume

Publishing more weak pages is not a strategy. Fewer, stronger pages with useful explanations and evidence are better for people and machines.

SEO and GEO belong together

AI visibility still depends on crawlable pages, search indexes, trusted sources, and structured data. Separating GEO from SEO creates blind spots.

Authority is operational

E-E-A-T, citations, expert visibility, and reputation are built through processes, not slogans. Someone has to create, verify, publish, pitch, and maintain the evidence.

Measurement must be specific

Useful reporting names the prompts, competitors, citations, sources, entity errors, and fixes. Generic dashboards do not explain what to do next.

FAQs

GEO and AI search FAQ

Is GEO just SEO with a new name?

No. SEO remains the foundation for crawl, index, ranking, and retrieval. GEO adds entity clarity, answer visibility, citation influence, AI representation accuracy, and third-party corroboration.

Why combine the old pages?

Because readers need context. Services like entity SEO, digital PR, E-E-A-T, AI citations, and technical SEO make much more sense when they are explained as parts of one visibility system.

What should a company do first?

Measure the current state. Test buyer prompts, review technical access, audit entity consistency, inspect content depth, and identify the sources AI systems currently trust in your category.

Ready to see where your brand stands?

A visibility audit takes two weeks. It tells you exactly where your brand stands across search, AI discovery, and entity recognition — and what it would take to correct it.