Request your free AI snapshot
One email is all it takes. Click here to write to me and include:
- Your company name and website.
- What you sell, in one or two sentences, in your words, not your homepage's.
- Three to five questions your buyers actually ask. The ones from sales calls, not the ones on your FAQ page. If you're not sure, tell me who your buyer is and I'll draft the questions myself.
What happens next
I put those questions to the major AI assistants (ChatGPT, Gemini, and Claude) and check the answers against what you told me and what your site says. You get back a short report: the transcripts, the errors, and where the assistants sent buyers instead of to you. If the answers turn out to be accurate, the report says so, and you've lost nothing but an email.
No call required, no follow-up sequence. Timing depends on my current workload; I'll confirm when I receive your email.
Or just get in touch
Questions, a specific concern about how AI describes your product, or something that doesn't fit the snapshot format: contact me and I'll reply personally.
Frequently asked questions
What is GEO (Generative Engine Optimization)?
GEO is the practice of improving how AI assistants (ChatGPT, Gemini, Claude, and similar systems) describe and recommend a company when people ask them questions. Where SEO targets search rankings, GEO targets the answers themselves: whether they're accurate, whether they cite your sources, and whether they mention you at all. It matters because AI assistants are increasingly the first place buyers form an opinion about a product.
How is GEO different from SEO?
SEO gets your pages ranked in a list of links; the visitor still reads your site and forms their own view. With AI assistants there is often no click: the assistant synthesizes an answer from many sources and the buyer takes that answer at face value. GEO therefore focuses on the substance and sourcing of the answer: correcting inaccuracies, making your own material the material the engines draw on, and being present when your category comes up. Good SEO helps GEO, but ranking well and being described accurately are different problems.
How do you check what AI assistants say about a company?
I ask the major assistants the real questions a company's buyers ask about the product, its capabilities, and the category, and record the full answers. Then I check each answer against the company's own source of truth: documentation, published claims, actual certifications. The output is a set of transcripts annotated with what's wrong, what's missing, and which sources the assistants relied on instead of the company's own.
What does the free AI snapshot include?
You send me your company name, a short description in your own words, and three to five real buyer questions. I put those questions to ChatGPT, Gemini, and Claude and send you a short report with the transcripts and the notable errors, gaps, or competitor mentions. It's free, requires no call, and carries no obligation. If the assistants describe you accurately, the report says so.
Who is this service for?
Founders, product leads, and communications leads at technical and deep-tech companies: businesses with complex or specialized products where getting the details right matters. It's most valuable when your product's claims are precise (certifications, capabilities, limitations) and a confident-but-wrong AI answer could cost you a deal. You don't need any marketing background; the work is designed for people who know their product, not people who know advertising.
Can you guarantee AI assistants will recommend my company?
No, and you should be wary of anyone who says yes. Nobody controls what these models say; the engines are updated constantly and their answers are synthesized from sources no single party owns. What can be done, and measured, is improving the inputs: making your own material clear, machine-readable, and authoritative enough that the engines draw on it, then re-testing to confirm the answers improved. That's the honest version of this work, and it's the only version I sell.
Why does the person auditing need domain expertise?
Because the errors that matter are subtle. An assistant describing a screening tool as a diagnostic one, or a research-use capability as certified, produces an answer that looks perfectly fine to a generalist. Judging whether an AI's answer about a technical product is actually correct requires understanding the product's field, which is why my audits evaluate substance, not just whether your brand appears.
What happens after an audit finds problems?
The audit ranks the gaps by how much they'd affect a buying decision. From there, I guide your team through the fixes (changes to your site, documentation, and the third-party material the engines rely on) rather than doing it for you, because your team understands the product best. We measure the assistants' answers before and after, so improvement is demonstrated, not assumed.