AEO vs SEO: what B2B teams need to know for AI search

Search stopped being a list. For a growing share of your buyers, the answer is now generated, not ranked. They ask ChatGPT or Perplexity or read a Google AI Overview, and they get one synthesized response assembled from a handful of sources. The win is no longer being result number four. It is being one of the sources the model trusted enough to cite.

That is the whole shift, and it changes what you optimize for without throwing away anything you already built.

AEO is mostly SEO, and that matters

The most useful framing I know: AEO is about 60 to 70 percent SEO with a new set of rules on top. Everything that classic SEO demanded still applies. The model has to be able to crawl your page, render it, and parse it. If Googlebot could never see your content because it was buried in heavy JavaScript, an AI crawler cannot either. So the technical backbone is not optional in an AEO world. It is the price of admission. Teams that hear "AEO" and abandon their SEO fundamentals are building the new floor on top of a hole.

Three things that genuinely change

1. The goal becomes citation, not ranking

Ten blue links rewarded being on the page. An answer rewards being the source. That raises the bar on how your content is structured, because a model pulling one answer from twelve pages favors the page that states the answer cleanly, up top, in language it can lift. A wall of text that happens to contain the answer loses to a page that leads with it.

2. Speed shifts from ranking factor to gatekeeper

Google will wait a little over a second for a page. Answer engines are stricter, because they are assembling one response from many sources under time pressure. A slow page does not get penalized so much as skipped. On your core pages, treat speed as closer to pass or fail than to a sliding scale.

3. Freshness became a real signal

The models lean toward the newest credible thing. Content published or meaningfully updated in the last few months has a materially better chance of being cited than the same content sitting untouched for two years. A refresh cadence is no longer housekeeping. It is a visibility lever.

The AEO layer, in plain terms

On top of solid SEO, the answer-engine work looks like this:

• Crawler access. Your robots file explicitly welcomes the AI crawlers you want, and you add an llms.txt that maps your best content for models.
• Clean intent. You can state the purpose of each core page in one sentence, and the page delivers exactly that, so a model's summary of it comes back right.
• Direct-answer structure. A short summary up top, then the page fans out into the follow-on questions a real person would ask next, in headings and a genuine FAQ that adds value instead of repeating the body.
• Structured data. Schema that matches reality, so the model can parse your answers, your offer, and your author instead of guessing.
• Off-site presence. Reddit, forums, and reviews talk about you, because models lean heavily on third-party mentions to decide who is credible.
• Measurement. You track, by platform, whether you show up for your category and brand prompts and how your share of voice moves. You cannot improve what you refuse to measure.

Where B2B teams get it wrong

The common mistake is treating AEO as a content trick, bolting a thin FAQ onto a slow page and calling it done. The models are not fooled by that, and a duplicated FAQ that just restates the page is a tell that someone bolted it on. The teams that win treat AEO as an operating discipline: fast pages, clean intent, honest structure, real off-site credibility, and a monthly loop that measures citation movement and fixes what slipped. That is a system, not a one-time project, which is exactly why we build it as one.

Frequently asked questions

Is AEO replacing SEO?

No. AEO is roughly 60 to 70 percent SEO with a new set of rules layered on top. The crawl, speed, schema, and structure work SEO always required still matters. AEO adds the answer-engine layer on top of that foundation.

What is the difference between AEO and GEO?

Two names for the same shift. AEO is answer engine optimization, GEO is generative engine optimization. Both mean earning citations and recommendations inside AI answers rather than ranking in a list. The tactics do not change with the label.

Why does page speed matter more for AI search?

An AI answer is assembled from many sources at once under time pressure, so slow pages get skipped rather than waited for. Google tolerates a page that loads in a little over a second. Answer engines are stricter, so speed becomes closer to pass or fail on your core pages.

How do I know if my site shows up in AI answers?

You measure it. Run your real category and brand prompts across ChatGPT, Perplexity, and Google AI Overviews and record whether you are cited, whether a competitor is cited instead, and how your share of voice moves over time.