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Answer Engine Optimization (AEO): what actually moves it, and what doesn't
AEO means being named when AI assistants answer a buyer's question. Here's what genuinely affects that, what Google says doesn't, and how to measure it.
By the Brandlism team · Published
Someone asks an assistant "who's good at [what you do] near me" or "what's the best tool for [your category]," and it answers with a short list. Answer engine optimization is the practice of making sure that list includes you.
That's the whole idea. It sounds like SEO because it's a close cousin of SEO, but the mechanics are different enough that treating it as "SEO with a new acronym" leads people toward the wrong fixes.
What it isn't
There's a cottage industry selling AEO as a checklist of special files and hidden markup: drop an llms.txt on your server, add some AI-specific meta tags, and the assistants will supposedly find you. Google has said directly that its own generative AI search features don't need any of that — no special file, no special markup — and that they run on the same core ranking and quality systems as ordinary search. Foundational SEO still does the work. A page that's genuinely clear about what it does, who it's for, and why someone should trust it will retrieve and cite better than one stuffed with AI-specific tags and thin on substance.
So the honest starting point is: there is no separate AEO ranking system to game. There's the open web, and a set of models reading it.
What actually moves it
Three things, in practice.
Being present in the sources the model already trusts. When an assistant answers a category question, it's usually drawing on a mix of comparison articles, community discussion (Reddit shows up constantly here), documentation, and review sites. If you're not mentioned in any of that material, the model has nothing to cite you with, no matter how good your own site is. This is closer to digital PR and community presence than to technical SEO.
Pages that state things plainly. Models that retrieve live content favor pages that answer the implied question in the first few sentences — what the thing is, who it's for, what it costs, how it's different — rather than pages that build up to the point through several paragraphs of scene-setting. Vague, abstract positioning copy retrieves badly for the same reason it converts badly: a reader (human or model) skimming for an answer doesn't find one.
Structured data that's accurate, not decorative. Schema markup (Organization, Offer, FAQPage, and the rest) helps a machine parse what a human already understood from reading the page. It doesn't substitute for the page saying the thing. And it has to be true — FAQ markup that answers questions the visible page never actually addresses is worse than no markup at all, because now the two disagree.
None of this is exotic. It's mostly the same brand-building and content-clarity work that was already worth doing. AEO doesn't replace that work with something else; it adds a second audience — the model, alongside the human reader — that rewards the same clarity.
What's honestly out of reach right now
Google AI Overviews and Google's AI Mode don't publish a query API. Neither does Microsoft's Copilot experience in Bing. That means nobody — not us, not anyone selling an "AEO score" — can directly ask those specific surfaces a question and see the answer the way a real user would. Anyone claiming to measure "your AI Overview visibility" with precision is either scraping in a way that breaks the moment the layout changes, or estimating. Worth asking what they mean when they say they've measured it.
What can be measured directly, with a real API and a real answer: assistants like Claude, Perplexity, Grok, and ChatGPT- and Gemini-class engines, each asked the way a person would actually use them — with web search on, so the answer reflects what the model can currently find, not just what it memorized during training.
How to check where you stand
Pick the five or six questions a real buyer would type — not your brand name, the problem they have. Put them to a few of the engines above, without mentioning yourself. Read the actual answers. Are you in them? If a competitor is named instead, follow the sources the engine cites and see if you can find where that competitor is getting the mention you aren't.
Do that once and you know where you stand today. Answer engines shift as models update and as the sources they draw from change, so a single check ages — which is the same reason rank tracking never was a one-time thing either.
If you'd rather have that measured on a schedule instead of doing it by hand every month, it's one of the things Brandlism runs: your category's real buyer questions, asked across multiple engines with web access on, with who gets named instead of you shown next to the sources those engines actually read. Start with a free proof scan, no card required, at brandlism.com/check.