Security buyers now describe a problem to a model and get three to five names back. Being one of those names is the new page one. We build for that from the first commit.

Answer engine optimization, or AEO, is the practice of making a company legible and quotable to AI answer engines, so it gets named when a buyer asks for a recommendation. Generative engine optimization, or GEO, is the same idea aimed specifically at generative results. Classical SEO competes for a link on a results page. AEO competes to be the answer.
SEO earns a position in a list of links. AEO earns a mention inside a generated answer, where there is no list and usually no second page. Ten of the eleven commercial SERPs in our own audit now carry an AI Overview.
ChatGPT, Claude, Perplexity and Copilot do not cite the same places. Enterprise security buyers are often on Copilot because of the Microsoft footprint. We check what the engines your buyers use actually say about you today.
A vendor positioned for everyone gives a model nothing to match against. The narrower and more concrete your claim, the more often you are the right answer to a real question.
This work is searched for under at least four names and they mostly mean the same thing. An ai seo agency, an answer engine optimization agency, generative engine optimization, GEO. The naming has not settled because the practice is about three years old and the engines keep moving.
The difference people are usually asking about when they compare aeo vs seo is the target. Classical SEO competes for a position in a list of links. This competes to be the sentence the model produces. The foundations overlap heavily, so anyone selling them as opposites is selling you something twice.
No adjectives. This is the work, in the order we do it.
Who it is for, what it removes, and what it is not. Written as claims a model can lift and a human can check, not as category language every competitor also uses.
A codebase you own, server-rendered, with real headings and no content trapped behind script. Structured data emitted from your content rather than hand-maintained, and a written llms.txt saying who you serve and what you will not take on. The CMS is reachable over MCP, so the AI tools your team already uses can draft and publish.
We test the prompts your buyers use and record whether you are named. Position in a link list is the wrong number when the buyer never sees the list.
Every page gets one primary term, the questions it has to answer outright, and the page it hands the reader to next. Nobody writes a page and works out afterwards what it was for.
One term per URL, answered in the first fifty words before any preamble, marked up as a DefinedTerm and linked to the work that sells it. Definition queries are where the models look first, and most of this category has ceded them.
If yours is not here, ask it on the call.
Send us your site. We will run the prompts your buyers use, tell you whether you are named, and show you what is stopping the answer engines from quoting you.