Guide
AEO vs SEO: what changes when people ask AI instead of search
Search engines rank pages. Answer engines assemble answers. Both still run on the same published content, but they reward different things — and they are measured differently. This guide sets out where the two overlap, where they diverge, and how a marketing team runs both without doing the work twice.
The short version
SEO optimizes a page so a person clicks it. AEO (Answer Engine Optimization) optimizes the claims inside that page so a model reuses them correctly and attributes them to you. If your content is unindexable, AEO has nothing to work with; if your content is indexed but vague, SEO may still rank it while answer engines quietly leave you out.
Side by side
| Dimension | SEO | AEO |
|---|---|---|
| Where the visitor ends up | A ranked list of links; the click is the outcome. | A synthesized answer; the citation or mention is the outcome. |
| Unit of optimization | A page, targeted at a keyword. | A claim, targeted at a question an engine is likely to be asked. |
| What earns placement | Relevance, authority, links, technical health. | Verifiable, self-contained statements the model can safely reuse. |
| How results are measured | Impressions, position, clicks, CTR. | Mentionability, share of voice, weighted position, sentiment. |
| Feedback loop | Post-publish, via Search Console over weeks. | Pre-publish, by prompting the engines with the draft itself. |
| Main failure mode | Ranking below competitors. | Being paraphrased inaccurately, or not being mentioned at all. |
What AEO asks of your content
- Verifiable claims. Figures, dates and named sources a model can reuse without inventing the missing part.
- Question-shaped structure. Headings that match how buyers phrase the question, with the answer directly underneath.
- Self-contained passages. Each section should stand on its own, because retrieval rarely brings the whole page.
- A human owner. Someone accountable for accuracy, since an inaccurate paraphrase repeated by an engine is harder to correct than a bad ranking.
Measuring AEO
Search Console will not tell you how ChatGPT summarized your category. The practical substitute is a fixed prompt set, run repeatedly across the engines your buyers use, scored on four axes: mentionability (are you named at all), share of voice (how often, versus competitors), weighted position (how prominently) and sentiment (in what light). Run the same set before and after publishing and the effect of a piece becomes measurable rather than anecdotal.
Running both without duplicating work
- Keep the SEO fundamentals: crawlability, sitemaps, metadata, internal links.
- Pick the questions — not just keywords — that your buyers ask AI engines.
- Draft with verified sources, and mark which claims are load-bearing.
- Prompt-test the draft against the engines before publishing.
- Publish once; track clicks in Search Console and mentions across the engines.
FAQ
Does AEO replace SEO?
No. Answer engines still crawl and cite indexed pages, so technical SEO, crawlability and topical authority remain prerequisites. AEO adds a second layer that optimizes how a model reuses the content once it has been retrieved.
How do I know whether AI engines mention my content?
You prompt them the way your buyers would and record what comes back — which brands are named, in what order, with what sentiment, and which sources are cited. Repeated over a fixed prompt set, that becomes a trackable baseline.
What content changes actually move AEO results?
Short, self-contained factual statements with dates, figures and named sources; explicit question-shaped headings; and removal of vague claims a model cannot verify. Long unstructured narrative tends to be skipped.
Can AEO performance be tested before publishing?
Yes. Running the draft against ChatGPT, Claude, Gemini and Perplexity before publication shows whether the content would be surfaced and how it would be summarized, which is the point of pre-publish prompt testing.