Answer Engine Optimization for US businesses. I make sure ChatGPT, Perplexity, Gemini and Google AI Overviews can find you, verify you, and say your name when someone asks.
The shift
Your buyers stopped
scrolling through links.
They ask ChatGPT.
They ask Perplexity.
They get one answer, with three names in it.
Optimized for every answer engine that matters
- ChatGPT
- Google AI Overviews
- Gemini
- Claude
- Perplexity
- Copilot
The problem
SEO gets you ranked.
AEO gets you recommended.
A search engine hands back a list and lets the user choose. An answer engine chooses for them, then writes a short paragraph naming two or three businesses. Ranking first on Google does not put you in that paragraph. Answer Engine Optimization is the work of becoming one of the names a model reaches for when it has to be specific.
One answer.
Two or three names in it. Everyone else is invisible, including the businesses ranking on page one.
Services
Everything that makes a model
say your name.
AI Visibility Audit
25 real buyer prompts, run across four engines, transcript published back to you.
Answer Engine Optimization
The full program. Entity, schema, content and citations, built so assistants quote you.
Entity & Schema Setup
Making your business one confident entity a model can verify instead of two uncertain ones.
AEO Content
Pages written to be lifted whole into an answer, not summarized and dropped.
Technical SEO
Crawlability, speed and clean markup. The foundation both search and answer engines need.
Local AI Visibility
Listings, profiles and location signals aligned so city-level questions return your name.
Process
Five steps, and you see
the evidence at each one.
-
01
Prompt audit
25 questions your buyers actually type in the audit, 40 every month after. You get the transcript, not a score.
-
02
Entity foundation
One name, one description, one set of facts, repeated identically everywhere a model might check.
-
03
Structured data
Organization, Service, FAQ and Person schema, filled in properly rather than minimally.
-
04
Quotable content
Pages that state the answer in the first sentence, because that is the sentence a model lifts.
-
05
Monthly re-test
Same prompts, same engines, thirty days later. If your name did not move, the update says so.
What you get
No fake numbers.
25
Buyer prompts tested before any work starts
4
Answer engines checked every single cycle
30
Day cycles. Plans run month to month, cancel anytime
No performance claims on this page, because nobody controls what a model outputs. Anyone showing you a guaranteed percentage is showing you a guess.
One specialist.
No account managers.
Work with The AEO Guy and you get the person doing the work. No delivery team, no junior handoff, no retainer padded with reporting calls. I take on a small number of US businesses at a time because prompt testing does not scale, and neither does knowing a market well enough to be useful in it.
Pricing
Published, and the same
for everyone.
No discovery call before you find out what it costs. Month to month, no minimum term, and the $49 audit comes off your first month whichever plan you end up on.
AEO Audit
$49 one time
A full picture of where you stand in AI answers, before you commit to anything.
AEO and SEO
$200 per month
Answer engine, generative engine and classic search, run together as one program.
Website and Full Optimization
$400 first month, then $200 per month
No site yet, or one that cannot be fixed. Built correctly from the start.
See everything each plan includes, and what none of them cover
FAQ
Questions, answered.
Answer Engine Optimization, or AEO, is the practice of structuring a business's content, entity data and technical signals so AI assistants can verify the business and name it inside a generated answer. It differs from SEO in what counts as success. SEO wins a position in a list of links. AEO wins a mention inside a paragraph that usually never gets clicked.
AEO and GEO describe the same work from two angles, and most practitioners use the terms interchangeably. Answer Engine Optimization focuses on being the source an engine cites. Generative Engine Optimization, a term from a 2023 Princeton, Georgia Tech and Allen Institute paper, focuses on how a model selects sources while composing an answer. The tactics overlap almost entirely: entity clarity, structured data, and content that states its answer plainly enough to be quoted.
Yes, and it happens through two separate routes. The model's training snapshot carries a picture of your business that changes slowly, over months. Live retrieval fetches your pages during the conversation and can reflect a change within days. The fast route is why crawlability, page structure and plainly stated facts get fixed first in every engagement.
Anything relying on live retrieval can shift within days, because the assistant is reading your page at the moment it answers. Anything relying on the model's internal picture of your business moves over three to six months, because it depends on new references accumulating across the wider web. Anyone quoting a faster number for the second half is guessing.
Yes, and they reinforce each other. Crawlability, structured data, clear factual content and consistent listings are what classic SEO rewards and what answer engines depend on. Nothing in this approach trades a Google ranking for an AI citation. In practice the technical work usually improves both.
Want to know what AI says
about your business today?
Tell me what you sell and where you sell it. For $49 you get a written summary of what the assistants currently say about your category, credited against your first month if you go ahead.
Get the $49 audit