Answer Engine Optimisation

AEO makes your brand the source AI answer engines — ChatGPT, Perplexity, Gemini, and Google AI Overviews — cite, through entity authority, structured data, and a citation harness that measures every result. At Prioritised Labs, AEO is a dedicated practice — not a bolt-on to SEO.

By rebuilding high-value content in a clean question-and-answer structure with an explicit entity model, canonicalising the AI pages back to their human originals so they reinforce existing rankings, and tracking citations weekly across each engine. For StillMind this produced a 160% lift in answer-engine traffic in six weeks.

A fixed harness of 47 real-world queries runs across ChatGPT, Perplexity, and Claude every week, recording whether the brand is cited, where in the answer, and which competitors appear alongside it. That gives a real before-and-after instead of a hunch.

StillMind saw traffic from answer engines rise 160% against a measured baseline within six weeks. Citation authority compounds, so results build from there.

Not when it is done correctly. Every AI page carries a canonical URL pointing back to its human equivalent, so search engines treat it as an alternate read for machines rather than duplicate content competing with your rankings. For StillMind, across six weeks organic search impressions roughly doubled and average ranking position held — zero regression.

Not on broad category terms — those are owned by the incumbents and not worth contesting. The win is in the niche that matches your product. StillMind does not try to beat Calm or Headspace on “best meditation app”; on journaling and AI-personalised meditation queries it is cited at position 1 across ChatGPT, Perplexity, and Claude. Pick the queries you can own and convert.

Yes — and it is one of the most valuable outcomes. Before our work, the answer engines misrepresented StillMind, getting features and details wrong. Because engines lift from whatever they can retrieve, the fix is to give them canonical, machine-readable facts about your product and pin the claims that matter most. Once those were in place, the engines described StillMind accurately — the right features, the right positioning, no invented details.

AEO is the practice of optimising your content and entity presence so that AI answer engines — ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — cite you as a trusted source. It is the evolution of SEO for a world where many searches are answered by AI rather than a list of links.

SEO aims to rank your page in a results list a person clicks. AEO aims to make your content the answer an AI gives and the source it names. They share foundations (technical health, structured data, authority) but AEO emphasises entity clarity, citable factual claims, and presence in the data these models draw on.

ChatGPT (and ChatGPT Search), Perplexity, Google AI Overviews / Gemini, and Microsoft Copilot. The underlying work — entity authority and structured, citable content — improves visibility across all of them.

We run a fixed set of real-world queries across the major answer engines every week and record whether your brand is cited, where in the answer, how accurately you are described, and which competitors appear alongside you. For StillMind, our own 47-query harness tracked a 160% lift in answer-engine traffic over six weeks. We report on share of citation, accuracy, and referral traffic from AI surfaces.

The opposite. AI search adoption is climbing fast and citation authority compounds. Building it now, while most competitors still ignore it, is the wedge — and we treat AEO as a dedicated discipline, measuring every result so you can see it working.

GEO and AEO are two names for the same discipline: optimising so generative AI engines — ChatGPT, Perplexity, Gemini, and Google AI Overviews — name you in their answers. “GEO” stresses the generative result; “Answer Engine Optimisation”, the term we use, stresses being the answer. Either way the work is the same: a clear entity model, structured and liftable content, and a citation harness that measures whether it lands.

You don't “rank” in AI search the way you rank on Google — there is no list of ten links. You either get cited in the answer or you don't. Citation comes from being the clearest, most authoritative, machine-readable source on a topic: structured Q&A content, an explicit entity model, corroborating signals across the web, and weekly measurement of which engines quote you. We run AEO as a dedicated practice and proved the method on our own app — a 160% lift in answer-engine traffic in six weeks.

AI engines describe you from whatever they can find and retrieve; when that is thin or scattered, they invent details — wrong features, wrong pricing, wrong positioning. The fix is to publish canonical, machine-readable facts about your brand and pin the claims that matter, so the engines lift the truth instead of guessing. We did exactly this after engines misrepresented our own app, and they now describe it accurately. It is one of the highest-value outcomes of an AEO engagement.

Usually because the engines cannot easily retrieve clear, structured facts about you, or because a better-organised competitor owns the answer. AI assistants favour sources with a strong entity model, citable claims, and content shaped for machine reading — most sites have none of that. The first step is seeing how the engines read you today; our free AEO audit scores exactly that.

llms.txt is a simple, structured index that tells AI crawlers where your most important content lives — a sitemap for answer engines. On its own it is a small signal, but as part of a proper answer layer (structured Q&A content, QAPage markup, an AI sitemap) it helps engines find and lift the right pages. We publish one ourselves, and our free AEO audit checks whether you do.

AI answers are taking a growing share of searches, but classic search is not disappearing — the two now sit side by side and share foundations. The smart move is not to abandon SEO; it is to add Answer Engine Optimisation so you are cited in AI answers and ranked in search at once. We run both as one connected system.

Yes — Prioritised Labs offers Answer Engine Optimisation from Budapest, for local and international clients. We make your brand the source ChatGPT, Perplexity, Gemini, and Google AI Overviews cite, using entity authority, structured data, and a citation harness that measures every result. We proved the method on our own product before offering it to clients.

Yes. We work as your Answer Engine Optimisation team or alongside your in-house one, from Budapest and remotely. Whether you call it AEO or GEO (Generative Engine Optimisation), the work is the same: a clear entity model, structured and citable content, and weekly measurement of which engines quote you and how accurately.