AI Search Optimisation
Get Found & Quoted by AI Search
AI search optimisation, also called AEO or GEO, is the work of getting a business found and directly cited by ChatGPT, Perplexity, Google AI Overviews and Copilot, rather than only ranked on a results page. Traditional SEO gets you ranked. This gets you quoted.
Who this is for
AI tools get your business wrong
You rank in Google and never get cited by AI tools
You compete on expertise
What we deliver
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01
Entity and schema structuring
Organization, Service, FAQPage, Article and Person markup, and consistency across the site, so machines can resolve who you are without guessing.
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02
Direct-answer content blocks
Key pages restructured to open with a clean, self-contained, quotable answer. The same block you are reading at the top of this page.
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03
FAQ structuring with schema
Real questions, answered in full in the HTML rather than injected on click, marked up so they can be retrieved as pairs.
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04
Citation-worthy technical content
Original data, clear definitions and named expert authors. Nothing gets cited for being enthusiastic.
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05
Monitoring of AI citation performance
Baseline prompts re-run on a schedule, plus AI referral traffic and branded query volume, so you can see whether any of it worked.
Traditional SEO asks: where do we rank? AI search asks: are we the source? A page can rank third and still be the one every answer engine quotes, or rank first and be invisible inside AI results. They are related problems, not the same problem.
Ranked versus cited
| Traditional SEO optimises for | AEO and GEO optimise for |
|---|---|
| A position on a results page. | Being the source quoted inside the answer. |
| Crawlability, backlinks and keyword coverage. | Retrievability, clean chunking and quotable structure. |
| Click-through from a listing. | Attribution when there is no click at all. |
| Pages that rank as a set. | Passages that stand alone out of context. |
| Measured in rankings and sessions. | Measured in citation share and branded query lift. |
How an engagement runs
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STEP 01
Assess
We ask the major AI systems the questions your buyers ask, and record what they say and who they cite. The checker tool gives the technical baseline. The prompt log gives the uncomfortable one.
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STEP 02
Prototype
We rebuild a small set of priority pages as direct-answer content. Enough to measure a change, few enough to finish inside a month.
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STEP 03
Integrate
Schema and entity consistency across the site. The unglamorous, site-wide part, which is also the part competitors skip.
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STEP 04
Scale
We re-run the baseline monthly and track citation share. Citation share moves slowly, and it moves.