AI Visibility Diagnostic
The AI Visibility Diagnostic: how ChatGPT, Perplexity, Gemini, and Claude describe your company today, next to your competitors, and exactly where to fix it.
Your buyers ask an AI before they ask you. Whether it names you, misses you, or describes you as something you are not is decided before the first conversation. The AI Visibility Diagnostic tells you what those systems actually say, and where you are losing the answer.
What we measure
How the models describe you
What ChatGPT, Perplexity, Gemini, and Claude say when your category comes up: named, missing, or misattributed.
How you compare
The same questions, run against your competitors, so you see who the machines recommend and why.
Where the gaps are
The specific pages, entities, and citations the models are reading wrong or not reading at all.
What to fix first
A prioritized shortlist, ranked by what will move the answer fastest.
Why it comes first
Being found is not the same as being described accurately. You can rank on Google and still be summarized wrong by an AI, or left out of the answer entirely. The Diagnostic measures that gap before anyone spends a dollar closing it, so the work that follows is aimed at the right thing instead of a guess.
What you get
A plain-language report: what the systems say now, how that stacks up against your market, and the shortlist of fixes that will change it. From there the work, structured content, entity and citation cleanup, the pages the models actually read, plugs into your other Visibility engagements. No optimizing for a machine you never measured.
Frequently asked
Questions B2B owners ask.
What is the AI Visibility Diagnostic?
A structured look at how AI answer engines and search describe your business: what they get right, what they get wrong, and where you are invisible when a buyer asks about your category.
Why does AI visibility matter now?
Buyers increasingly ask ChatGPT, Perplexity, and Google's AI answers before they ever visit a site. If those systems cannot describe you accurately, you are left out of the conversation where the decision starts.
What do we get out of it?
A clear picture of how you currently appear to the models, the gaps costing you mentions, and the specific fixes, in priority order, that make your site legible to AI and to search.
Is this just SEO?
It shares roots with SEO but aims at a different reader: the models that summarize and recommend. The work is structured data, clear answers, and authority signals the answer engines actually use.