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.
With well-established SEO credibility, how MarkiRise's pre-publish LLM engine simulations make a big difference in AEO performance and LLM citations
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
MarkiRise handles the AEO side of this workflow for you — drafting, multi-engine simulation, diagnostics and tracking — so your team keeps the SEO fundamentals without adding a second, manual process.
- Keep the SEO fundamentals: crawlability, sitemaps, metadata, internal links.
- MarkiRise identifies the questions that your buyers may ask AI engines. Flexibly, marketers define queries according to any specific AEO strategy or goals to achieve.
- MarkiRise drafts with your approved sources before you edit the draft for simulations.
- MarkiRise runs the draft through its pre-publish simulation across ChatGPT, Claude, Gemini and Perplexity, with per-engine, per-query diagnostics.
- Publish once; MarkiRise tracks citations across the engines alongside the click-throughs from AI engines' responses.
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?
During pre-publish AEO simulations, you will prompt multiple AI engines simultaneously. Each test will provide the in-depth diagnostic analysis that tells you what extent LLMs are citing your content and the citation probability score across AI engines.
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. However, the AI engine-friendly content format is only the prerequisite. The per-engine, per-query diagnostic analysis after simulations determines why your content was not chosen over other sources and what are missing in your content relative to the chosen sources. This give you clear ideas of content improvement - it's not just about the format. After revising the content, MarkiRise iterates testing with it to ensure the specific content clears the pre-configured success threshold. If the Citation Probability score is above the threshold, the content goes live.
Can AEO performance be tested before publishing?
Yes, in addition to determining whether the tested content will be actually cited, the MarkiRise's AEO pre-publish simulation results provide a holistic view of the real-time LLM citations and measurement by metrics like Weighted Position and Mentionability - “per engine and per query.”