Answer engine optimization techniques range from five-minute schema fixes to quarter-long citation campaigns. This guide orders the ones that work by effort and impact, so you spend your hours where the answers actually move.
Add FAQ schema to every question-answering page. Publish llms.txt mapping your key pages. Fix pages whose answers live in JavaScript or behind tabs. Rewrite meta descriptions and opening sentences to answer the question directly. None of these wins alone, but each removes a reason assistants skip you, and together they are a weekend of work.
Convert your highest-value pages to answer-first structure: question-shaped H2s, the direct answer in sentence one, specifics a model can quote (numbers, timelines, tradeoffs). Build honest comparison pages for every “you vs competitor” question buyers ask. Add a plain-language pricing explanation. These pages become the raw material of answers about your category.
Map the sources Perplexity and Gemini cite for your top questions. Claim and enrich your review profiles. Pitch genuinely useful additions to the listicles and comparison articles in the citation set. Correct stale third-party descriptions. This layer moves answers hardest, because assistants trust corroboration over self-description.
Buyers reach answer engines through moments, not keywords. Publish content that meets the whole conversation: the early “what is happening to me” questions, the middle “what are my options,” and the final “who should I choose.” Brands present early in the chain get named at the end of it, which is the pattern our 1,200-moment research documented.
Every technique above should map to specific answers you expect to change. Baseline your mention rates across ChatGPT, Gemini, Claude, and Perplexity before shipping, verify after, and keep what moved numbers. Aethon runs this loop as a platform: the techniques, the tracking, and the proof.
Citation building in the sources assistants trust, answer-first content restructuring, FAQ and Article schema, and continuous measurement across the four major assistants.
Technical and structural fixes surface in Perplexity and Gemini within weeks because they retrieve live. Citation work follows, then training-data effects.
They overlap on foundations but diverge on goals: SEO earns rankings, AEO earns being quoted and named inside answers. Quotability and corroboration matter more; keywords matter less.
Yes, often better: specificity beats scale in AI answers, and a small brand can own its niche questions with a few honest, well-structured pages.
We baseline your answers, apply techniques in leverage order, and verify every change against the mention rates it was meant to move.