Does ChatGPT recommend your B2B SaaS when buyers ask — or someone else? A visibility audit tests the real prompts, shows who ChatGPT names instead, and why. Then we fix the gaps.
A diagnostic first. The fix engagement is optional.
Buyers now open ChatGPT and ask “what’s the best tool for X?” before they ever reach your site. If the model names three competitors and not you, you lose the shortlist silently — and nothing in your analytics tells you it happened.
Ask ChatGPT for the best option in your category and it confidently names rivals. You are not in the consideration set buyers see.
No referrer, no click, no trace. The deals you never hear about were decided in a chat you cannot see.
Without a structured audit you don’t know which prompts surface you, which bury you, or why the model trusts other sources over yours.
ChatGPT visibility is not a vibe; it is a measurable state across the prompts your buyers actually use. The audit pins down where you stand today, who gets recommended instead, and the entity, content and authority reasons behind it. That diagnosis is what turns “we should do AI search” into a prioritized plan a lean team can ship — not a ChatGPT tab open on the side.
A structured diagnostic of how ChatGPT treats your brand on the questions that decide deals, against the competitors it names instead.
I test the real questions your buyers ask — category, comparison, use-case and “best tool for” prompts — not vanity searches for your brand name.
How often ChatGPT names you versus rivals across those prompts, and where you appear in the answer — first pick, also-ran, or absent.
Which sources ChatGPT pulls from and links to when it answers your category, and whether your own content is ever among them.
The entity, content and authority reasons the model recommends competitors: ambiguous positioning, thin coverage, weak third-party signal.
Every gap scored by impact and effort, so you fix the things that move recommendations first, not the easy busywork.
A clear written report: where you stand, who beats you and why, plus the prioritized fixes — yours to act on with any team.
Agree on the buyer questions and competitor set that matter, so the audit reflects how real deals get researched.
Run the prompts across ChatGPT, capture mentions, citations and competitor recommendations, and record the patterns.
Explain why ChatGPT recommends who it does, then deliver the report and a gap list ranked by leverage.
Optional engagement: entity clarity, retrieval-ready content and citation authority — built to improve your odds of being recommended and cited.
If ChatGPT recommends a competitor and not you, that is a number you can move. First you have to measure it.
Andrii Byzov / ChatGPT visibility
I am Andrii Byzov — an AI-native marketing operator who has led growth across B2B SaaS and fintech, including CMO roles at DataImpulse and AcademyOcean (Netpeak Group), where we grew revenue 4x in the first year.
I run the audit and, if you want it, build the fixes — one accountable expert, not an agency layer cake. I build systems that replace two or three manual roles, not a ChatGPT tab open on the side. I write about AI search on my blog.
A focused ChatGPT visibility audit shows whether the model recommends you, who it names instead, why, and the prioritized fixes that improve your odds.
Request a visibility audit →Operator-led · AI-native · B2B SaaS