AEO vs SEO: What Changes When Agents Are the Customer
What's the difference between AEO and SEO?
SEO (Search Engine Optimization) gets you onto a page of roughly ten links that a human scans and chooses from. AEO (Answer Engine Optimization) gets you into the single answer an AI model gives when there is no page of links — just a recommendation. SEO is about ranking among options; AEO is about being the chosen option. The two overlap — good technical hygiene helps both — but the unit of success is different. In SEO, success is a position. In AEO, success is being named in the answer. That one shift changes what you optimize for and how you measure it.
Why does the difference matter now?
Because the interface itself is collapsing. For two decades the search result was a list, and a list is forgiving: being sixth still earns clicks, being on page one at all drives traffic. The AI answer is not a list. It's one response, often naming one or two products. In that world the math inverts. Being the model's second choice is close to worthless, because the person — or their agent — acts on the first. This compresses a long tail of "good enough to get some clicks" into a short head of "named or invisible." It's the same winner-take-most pressure that reshaped app stores and marketplaces, arriving now for software discovery.
What do you optimize for in AEO that you'd ignore in SEO?
Four things move from nice-to-have to central. Extractability over keyword density. SEO rewarded pages stuffed with the right phrases. AEO rewards clear, literal statements a model can lift and repeat. "The cheapest project management tool for agencies under 20 people" is extractable; a wall of keyword-optimized prose is not. Corroboration over backlinks alone. Backlinks still matter, but AEO leans on whether many independent sources describe you the same way. Consistency across the web is the new authority signal. Structure for machines. Schema, llms.txt, clean AI-crawler rules, and a FAQ section that maps to FAQPage markup all help a model parse you correctly. This is technical SEO's cousin, but aimed at comprehension rather than ranking. Transactability. SEO never cared whether a machine could complete a purchase — humans did that. AEO does, because the agent may try to act on the recommendation. If it can't, the recommendation is wasted.
Does traditional SEO still matter?
Yes. Clean site structure, fast pages, crawlability, and quality content help humans, Google, and AI models alike. AEO is not a replacement for SEO — it's an additional layer with a different objective. The mistake is treating AEO as "SEO with new keywords." Swapping in phrases like "AI visibility" won't help if your positioning isn't extractable, your presence isn't corroborated, and an agent can't act on you. The goal changed from a ranking position to a recommendation, and that requires new work, not just new keywords.
How do I start doing AEO?
Begin with an honest measurement of where you stand — an Agentic Score tells you both how visible you are to models and whether an agent could transact with you. Then follow the order of cheapest-to-most-expensive: fix the deterministic, structural items first (schema, llms.txt, crawler access, machine-readable pricing), then sharpen your extractable positioning, then invest in the slow compounding work of corroboration across third-party sources. Re-measure as you go.
Frequently Asked Questions
- Is AEO replacing SEO?
- No. AEO adds a layer focused on AI answers; SEO still governs how you appear in traditional search. Most of the technical fundamentals overlap, so doing both well is complementary, not contradictory.
- What does GEO mean, and is it different from AEO?
- GEO (Generative Engine Optimization) is another term for optimizing to appear in AI-generated answers. In practice AEO and GEO describe the same goal, and the tactics are largely the same.
- Can I do AEO if I have no SEO team?
- Yes. Many high-impact AEO fixes are structural and one-time (schema, llms.txt, crawler rules, clearer positioning) rather than the ongoing content grind SEO often implies.
- How do I measure AEO success?
- By whether AI models surface and correctly describe you, and whether an agent could act on that recommendation. An Agentic Score captures both.
- Do keywords still matter for AEO?
- They matter as the words your buyers actually use — so a model can match you to real questions. What stops mattering is mechanical keyword density.