Answer engine optimisation, without the acronym fog.

Answer engine optimisation, or AEO, improves the chance that a page can supply a clear, accurate response when a search feature or assistant answers a question directly. The work begins by choosing real buyer questions, then placing concise answers near the top of the relevant page. Supporting sections explain scope, evidence, limits and next steps in language that a person can verify. Headings, internal links and structured data help describe the page, but they do not replace useful visible copy. TomHow also checks whether important facts agree across service pages, reports and business profiles. AEO cannot guarantee a featured snippet, voice answer, AI summary or citation. Search systems choose what to show and may change their outputs without notice. The practical goal is a page that answers the question well for a reader and gives retrieval systems less ambiguity about the subject, source and commercial route.

Thomas Howcroft starts with a simple human test: can he tell immediately what the page is about and what service it offers? If not, he checks the buyer's search intent and relevant query data, then gives the main question a quick answer near the top. The rest of the page should cover closely related questions in useful depth. A distinct topic may need its own page rather than another thin section.

Method source: Thomas Howcroft, founder interview, 11 October 2026. Edited for clarity; this is a method description, not a measured result. Google introduction to structured data

Ten years ago, a buyer typed a query into Google, clicked a link, and you measured an organic session. The optimisation target was a position on the results page. The discipline was SEO.

In 2026, the same buyer query can end inside an AI Overview at the top of the SERP, a generative answer from ChatGPT or Claude, a Copilot answer inside Microsoft 365, a featured snippet, a People Also Ask accordion, or a voice assistant response. Most of these surfaces did not exist five years ago. None of them treat your site as a destination by default. All of them treat it as a source.

Answer engine optimisation, usually shortened to AEO, is the work of making a brand easy to find, understand and quote inside an answer rather than a list of links. It is the umbrella term, and it covers Google AI Overviews, Microsoft Copilot, standalone generative engines such as ChatGPT, Claude, Perplexity and Gemini, featured snippets, People Also Ask, and voice assistants. Generative engine optimisation, or GEO, sits inside AEO and deals with the standalone engines specifically. The practical work is page structure, direct answers written to stand alone when they are extracted, schema that matches what is visible on the page, consistent entity names, and the normal SEO foundations underneath. None of that creates eligibility by itself, and nobody can honestly promise inclusion in any answer surface. TomHow sells SEO, GEO and AEO as one retainer because the technical work overlaps heavily, and splitting the offer would mean charging three times for the same fixes.

Six surfaces under one discipline.

These are the main levers. Most are technical, all are learnable, none are secret. The hard part is shipping them consistently across a real site for months on end.

• Relevant structured data. Use Organization, Service, Article or Product markup where it describes the visible page. Google does not require special AI schema. FAQ rich results have ended, and HowTo markup is not a shortcut to answer inclusion.
• Answer-shaped content. Content written in clear question-answer structure with explicit headings. Each block should stand alone as a usable extract.
• Optional llms.txt map. A map for systems that choose to use it. Google ignores llms.txt for Search visibility and rankings. The file is not crawler access control or a requirement for AI features.
• Featured snippet targeting. Use a direct, definition-led answer where it helps the reader. There is no required word count and no guarantee of inclusion.
• Entity disambiguation. Consistent canonical strings for brand, products, people, and category terms. SameAs references to Wikidata, Wikipedia, LinkedIn, and Crunchbase where useful.
• People Also Ask coverage. Use PAA questions as one demand signal, then answer the useful ones clearly. A PAA result does not guarantee an AI Overview or citation.
• Voice-ready phrasing. Natural language Q and A blocks that read as if a person asked them aloud. Useful for assistant inclusion where it applies.

Answer engine optimisation. The discipline of getting a brand visible inside any AI or AI-adjacent answer surface: Google AI Overviews, Microsoft Copilot, ChatGPT, Claude, Perplexity, Gemini, featured snippets, People Also Ask, and voice assistants. AEO is the umbrella term that covers the lot.

No. AEO is the broader umbrella. GEO (generative engine optimisation) sits inside AEO and focuses specifically on standalone generative engines like Claude, ChatGPT, Perplexity, and Gemini. AEO also covers AI Overviews, Copilot, voice answers, featured snippets, and People Also Ask. If a buyer reads an answer instead of clicking a link, that surface is in scope for AEO.

No. SEO helps pages rank in search results. AEO helps a brand appear inside the answer itself. The technical work overlaps heavily (schema, structured content, entity clarity, internal linking), but the measurement is different.

LLMO (large language model optimisation) is often used as a synonym for GEO and therefore sits inside AEO. The practical work is almost the same: clear pages, clean entities, technical access, and evidence worth citing. TomHow handles both under the AEO umbrella.

No. AEO sits on top of SEO. Many AEO surfaces still pull from underlying organic results, AI Overviews in particular. A site with weak SEO will struggle in answer engines too. The right framing is SEO + GEO + AEO running as one combined retainer.

Agree the questions and answer surfaces, then record the platform, mode, date, brand mention and cited URL for each available answer. Keep API observations separate from consumer answers and Google search features. Google now documents a Generative AI performance report in Search Console; check whether your property has access before including it in the scope. Missing or blocked checks stay unknown, rather than becoming zero citations.

There is no fixed timetable. Timing depends on the category, site, evidence and answer surface. TomHow reruns the same agreed questions and search checks at dated intervals rather than promising a result window.

The Schema Generator builds Organization, Service, Article, FAQ, and HowTo JSON-LD blocks in the browser. Useful first step before deeper AEO work. Open the generator.

Yes. TomHow is a founder-led consultancy based in Stevenage, UK. Answer engine optimisation is delivered as part of the AI search service, which starts with the GBP 2,250 paid audit. No inclusion in any answer surface is promised.

An answer engine optimisation review should connect a real customer question to a useful page and a named search surface. Check whether the page answers the question clearly, supports important claims and provides a sensible next step. Record Google AI answers, featured snippets and other platforms separately. For Google Search, eligibility and normal SEO still matter; a question heading or FAQ block is not a shortcut to appearing in an answer.

Answer the customer before describing the method. If the question is what the service includes, put the scope, exclusions and next step near the beginning. A paragraph explaining why the page is useful does not answer that question.

Then add the detail needed to make a decision: conditions, examples, sources and honest limits. Use headings to help readers navigate, rather than splitting one answer into many thin pages for different wordings.

Make the proposed action specific and testable. A useful recommendation names the affected page, question, observation and edit. Replace create more answer-ready content with a specific change, such as explain the exclusions beside the price because the current page leaves them unclear.

Record when the change is published and check both the page and its next step. A clearer page can be verified immediately. A later answer appearance needs its own dated observation and should not be promised in advance.

• Read how TomHow runs AEO end to endFour-step method. Atlas checks weekly. Forge ships content. Anvil keeps the technical surface healthy. Compass plans next month.
• Read the GEO pageGenerative engine optimisation, the standalone-engine part of the umbrella.
• Read the AI search pageSEO, GEO and AEO as one plan.
• Read the paid audit scopeA signed diagnostic with linked evidence rows.
• Read the recovery planProving whether traffic is gone or tracking has broken.
• Read the full setup guideThe schema implementation guide and the wider setup.
• Measure answer visibilityKeeping provider evidence separate, dated and reproducible.
• Use llms.txt as a mapWhy the file is a map, not magic.
• Try the schema generatorFree JSON-LD builder, runs in your browser.