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GEO — AI Search Optimisation

A growing share of questions now get answered without anyone visiting a website. When an AI assistant answers on your behalf, the question becomes whether it draws on your content or a competitor's. GEO is the work of making your material accessible, extractable and worth citing — a different problem from ranking, though it rests on the same technical foundation.

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AI crawler access and content accessibility

Access comes before everything

AI systems cannot cite content they cannot reach. Many sites block AI crawlers without realising it, render critical content only in the browser, or bury the answer inside a structure no parser can follow. We check access first — which crawlers are allowed, what is visible without JavaScript, whether the site publishes a machine-readable summary of itself.

AI crawler access audit

Server-rendered content verification

Structured data for entity recognition

Machine-readable site summary

Content structured for AI extraction

Written to be extracted

AI answers are assembled from passages, not pages. Content that buries its conclusion under several paragraphs of preamble rarely gets used, while a clear, self-contained passage that answers a specific question directly does. This affects how pages are written and organised — headings that state questions, answers that stand alone, claims backed by sources.

Question-led heading structure

Self-contained, quotable passages

Verifiable claims with sources

Comparison tables and structured facts

What changed

For two decades, search meant a list of links and the job was to appear high on that list. That model still exists, but a growing share of questions is now answered directly — by an assistant, in a summary panel, or inside a chat interface — and the user never sees the list.

For a business this shifts the goal. Being ranked is no longer sufficient if the answer gets assembled without you.

What the work involves

Access. Confirming AI crawlers are permitted, content is served without requiring JavaScript execution, and the site publishes structured signals about what it is.

Structure. Organising content so that specific questions have specific, self-contained answers, rather than requiring a reader to synthesise them from a long article.

Evidence. AI systems weigh verifiability. Claims supported by named sources, concrete detail and consistent information across the web fare better than assertions that appear nowhere else.

Entity clarity. Making sure it is unambiguous what your company is, what it does and what it is known for — across your own site and the places that describe you elsewhere.

The relationship with classic SEO

GEO does not replace SEO; it sits on top of it. Sites with a weak technical foundation fail at both, and most of the groundwork — crawlability, rendering, structured data, page speed — serves them equally. The additional work is in how content is written and how claims are supported.

Curious whether AI search knows about you?

Tell us your category and we will look at how your content currently surfaces.

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Frequently Asked Questions About GEO

Browse our frequently asked questions to find the best solution for your business

They share a foundation — both require content that can be crawled, rendered and understood. They differ in what wins. Classic search ranks pages and rewards authority signals accumulated over time; AI search assembles answers from passages and rewards clarity, self-containment and verifiability. A page can rank well and still never be cited, usually because its answer is buried.
The opposite is often true. AI systems favour content that answers a specific question precisely, and specialised businesses tend to have exactly that kind of expertise. A niche company with genuinely useful, well-structured content can be cited on questions where a large generalist brand has nothing specific to say.
No, and neither can anyone else. These systems do not expose a ranking mechanism and their behaviour changes frequently. What can be done is remove the reasons you are currently excluded: blocked crawlers, unrenderable content, unverifiable claims, information that exists nowhere a model can reach.
By testing directly: asking the relevant AI surfaces the questions your customers ask and recording whether your content appears, what it is cited alongside, and how accurately it is represented. This is more manual than traditional rank tracking, and we are straightforward about that rather than presenting invented precision.