What is AEO? (Answer Engine Optimization)

How to surface inside the direct answers produced by ChatGPT, Claude, Gemini and Perplexity — and why AEO complements SEO rather than replacing it.

How AEO differs from SEO

SEO aims to rank a page in a list of results. AEO aims to place your brand *inside* the answer. Where a classic search engine returns ten blue links, an answer engine (ChatGPT, Claude, Gemini, Perplexity) returns only three or four — and often no links at all. Optimizing for this format demands a different approach: you no longer climb a SERP, you get *selected* as a source by the model.

The three levers

  1. Cited sources — recognized press articles, industry dossiers, independent comparisons that establish your brand's presence.
  2. Structured schemas — Article, FAQPage, Organization, Product: JSON-LD that helps the model bind your entity to your content.
  3. Named entities — a name, a Wikipedia page, a consistent LinkedIn profile: what models use to disambiguate two same-named brands.

A structured-data block, ready to paste

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is AEO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "AEO, or Answer Engine Optimization, is the set of techniques that make a brand eligible to appear inside the direct answer formulated by a conversational engine."
      }
    }
  ]
}

The diagram

AEO diagram: three levers converge toward the model's answer box

Three inputs, one output: the answer box the model writes. If any one of these three inputs is weak, your brand falls out of contention — even if the others are excellent.

What Plavra measures for you

Every week, Plavra checks whether your three levers are paying off: who cites your brand, which structured schemas are valid on your domain, and what place your entity holds in the models' memory. You walk away with a precise action list — not a generic report.