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Answer engine optimization (AEO)

Answer engine optimization (AEO) is the practice of structuring content so that ChatGPT, Claude, Perplexity, Google AI Overviews, and voice assistants pick it as the canonical answer.

AEO in one paragraph

AEO is about being the answer, not ranking for a keyword. Where SEO optimizes to appear in a results list, AEO optimizes to be quoted as the single sentence an answer engine generates.

AEO tools: what they actually do

An answer engine optimization tool typically bundles:

  • Prompt-based visibility testing. Fire 50–500 prompts at ChatGPT, Claude, Perplexity, and Gemini; record citations.
  • Content gap analysis. Identify questions where you have content but aren't cited.
  • Structured-data audit. Check schema.org coverage (FAQPage, HowTo, Article, Organization) on key pages.
  • Quote-surface analysis. Measure which paragraphs get pulled verbatim vs rephrased.

These tools are converging with GEO platforms. In practice, "AEO tool" and "GEO tool" buy the same feature set from different vendors.

Core AEO tactics

1. Answer in the first paragraph

If the page is "what is X", the first paragraph must define X clearly and quotably. Assume a scraper only reads 300 words before moving on.

2. Structure every answer as Q then A

H2 = question, one paragraph = answer. Generative engines are trained on Q&A-shaped corpora (Stack Exchange, Reddit, FAQs) and reach for that shape naturally.

3. Ship the right schema.org

FAQPage, Article, HowTo, Organization are still the essentials. Validate with the Schema markup validator and check our while you're at it.

4. Open retrieval paths

Publish an llms.txt, open AI crawlers you want citing you in robots.txt, and ensure your sitemap is clean. covers all of this.

5. Avoid answer dilution

One page, one question. Don't bundle six FAQs under a single generic page unless each has its own schema and URL fragment. Engines rank fragments, not monoliths.

Measuring AEO

You need both:

  • Dashboard metrics: citation share, prompt coverage, rank in answer box.
  • Log-based truth: actual fetches from ChatGPT-User, PerplexityBot, ClaudeBot, Google-Extended.

Dashboards sample; logs don't. Weight logs higher.

Common pitfalls

  • Writing for keyword density instead of clarity. AEO rewards concise, direct answers.
  • Shipping schema.org no one validates. Broken JSON-LD is worse than none.
  • Blocking AI bots reflexively. You're opting out of citations.
  • Treating AEO as a one-off. Models update; your best answer from six months ago may now be outranked.

Check this on your site

AI search visibility audit

One-click audit: llms.txt, Accept-header, robots.txt, sitemap.md, token savings.

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