AI Search Optimisation: How to Rank in AI Answers

Why AI search changed the rules

Classic search shows ten links and lets the user choose. AI search reads the web, decides what’s true, and returns one synthesised answer with a handful of citations. That collapses the funnel: if you’re not in the answer, you’re not in the consideration set at all. Ranking eleventh used to mean less traffic — now, not being cited can mean no traffic.

The good news: the signals AI engines rely on are largely mechanical, and most sites are failing them for boring, fixable reasons — blocked crawlers, missing schema, ambiguous entities, and content that buries the answer six paragraphs down.

How to optimise for AI search

Work in this order — there’s no point polishing content if the crawlers can’t reach it in the first place.

• Let the AI crawlers in: check robots.txt for GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot and Google-Extended. A single Disallow can make you invisible to an entire engine.
• Add Organisation (or LocalBusiness) structured data with a consistent name, logo, description and sameAs links.
• Lead with the answer: open each section with one direct, quotable sentence, then expand. AI extracts the first clear answer it finds.
• Add FAQ structured data for genuine questions your audience asks.
• Keep entities unambiguous — the same business name, description and location everywhere on the web.
• Publish an llms.txt summarising your site and pointing to your key pages.
• Earn presence in the sources AI trusts most: Wikipedia, Wikidata and established industry sites.

You can check most of this in one pass with a free AI SEO audit, and fix your crawler rules with the robots.txt generator.

How to measure AI search visibility

“Are we visible in AI?” sounds unmeasurable, but it breaks down into three concrete layers you can actually track:

The AI Visibility Checker scores the first two instantly — showing which engines can reach you, whether you have a Wikipedia and Wikidata presence, and exactly what’s holding you back.

The five most common mistakes

• Blocking AI crawlers by accident — usually a blanket Disallow copied from an old robots.txt.
• No Organisation schema, so AI can't tell which company you are.
• Burying the answer under an intro, so there's nothing quotable to extract.
• Inconsistent brand details across your site, LinkedIn and directories.
• Treating AI search as a one-off project rather than something to monitor as your site changes.

That last one matters more than it sounds: a redeploy that drops your schema or flips a robots rule can quietly remove you from AI answers. Daily monitoring catches it before your traffic does.

Where GEO and AEO fit in

AI search optimisation is the umbrella. Generative Engine Optimisation (GEO) is the part focused on being cited by generative engines, and Answer Engine Optimisation (AEO) is the part focused on structuring content so a single direct answer can be extracted. In practice they share most of the same work — see GEO vs SEO for how it all relates to classic search.

AI search optimisation FAQ

What is AI search optimisation?

AI search optimisation is the practice of making a website easy for AI engines — ChatGPT, Google AI Overviews, Perplexity and Gemini — to crawl, parse, trust and quote in their answers. It combines classic technical SEO with newer signals like structured data, entity clarity, answer-first content and AI crawler access.

How do I optimise for AI search?

Start by making sure AI crawlers can reach you (check robots.txt for GPTBot, ClaudeBot, PerplexityBot and Google-Extended). Then add Organisation and FAQ structured data, write answer-first content that leads with a direct answer, keep your entity details consistent, and publish an llms.txt. Finally, measure which engines can actually see you.

How do I measure AI search visibility?

Measure it in three parts: crawler access (can each AI engine fetch your pages?), entity presence (do you exist in knowledge sources like Wikipedia and Wikidata?), and citation (are you being quoted in answers?). A free AI visibility checker scores the first two instantly and shows what to fix.

Is AI search optimisation different from SEO?

It overlaps heavily but isn't identical. SEO optimises to rank a link; AI search optimisation optimises to be understood and quoted inside a generated answer. Clean structure, schema and fast pages help both — but AI search adds llms.txt, entity clarity, AI crawler permissions and answer-first formatting.