AI Search Optimisation for Small Businesses: SEO, AEO and GEO

Search journeys now include conventional results, Google AI features, and conversational systems that synthesise information from multiple sources. Google says its AI search experiences use the same foundational requirements as Search, including indexable content that is eligible to appear with a snippet [2]. OpenAI likewise gives publishers controls for search discovery and recommends accessible, clearly structured experiences [3].

For a small business, the practical goal is not to optimise for a mysterious separate algorithm. It is to publish the clearest useful answer, establish who is responsible for it, support material claims, and offer a next step worth clicking.

Technical SEO, internal links, descriptive titles, useful copy, and independent reputation signals still determine whether a page can be discovered and understood. No special AI schema guarantees inclusion in an AI-generated answer [2].

The GEO research introduced a benchmark for measuring source visibility inside generative answers. Its experiments reported gains of up to 40% for some presentation strategies, with results varying substantially by domain [1]. That is evidence that content presentation can influence visibility in the tested benchmark; it is not a promise that citations, quotations, or schema will produce the same result in a live search engine.

Machine-readable pages should identify the organisation, named author, service, publication date, and supporting evidence consistently. JSON-LD can clarify those relationships, but it must describe visible page content rather than manufacture credentials or claims.

Use answer-first summaries, descriptive headings, semantic lists and tables, accessible controls, and direct links to primary sources. This improves comprehension for people first and gives search systems cleaner material to parse.

AI can help a small team cluster real customer questions, find stale passages, organise primary sources, and draft alternative structures. A named human editor should still verify every factual claim, approve citations, and decide whether an update is genuinely useful.

The result should be a maintained knowledge base, not a stream of undifferentiated generated articles. Each page needs a clear purpose, ownership, evidence, and a conversion path that matches the reader's intent.

A UK-wide consultancy should publish strong national service pages, useful tools, transparent case studies, and focused articles that answer real buying questions. Location pages are appropriate only when the business has a genuine local presence and distinct information for that audience.

For Simlyst, national positioning makes the commercial proposition clearer: one UK AI consultancy with defined services and evidence, rather than a collection of near-identical regional agency pages.