Which AI engines does an AI search visibility audit cover?

All the major ones buyers use: ChatGPT, Perplexity, Gemini and Google AI Overviews. Each engine pulls from different sources and weights them differently, so a single-tool check misses most of the picture. A broad cross-engine audit is the umbrella view.

How is an AI search visibility audit different from an SEO audit?

A classic SEO audit checks rankings, crawlability and on-page health for blue links. An AI search visibility audit checks whether AI engines actually mention and cite you in the answers buyers read, across multiple engines, and diagnoses why.

AI Search Visibility Audit for B2B SaaS

Q: What is an AI search visibility audit?

An AI search visibility audit is a structured read of how your company appears across AI answer engines like ChatGPT, Perplexity, Gemini and Google AI Overviews. It measures where you are mentioned and cited versus competitors on real buyer prompts, diagnoses the entity, content and authority gaps behind any absence, and delivers a prioritized fix plan.

01 / The question

“Are we showing up in AI answers?”

Your buyers now ask ChatGPT, Perplexity, Gemini and Google AI Overviews before they ever reach your site. The model names a handful of vendors and cites a handful of sources. If you are not in that set, you are invisible at the exact moment of research — and most teams have no idea where they stand.

You are flying blind

You can see Google rankings, but no dashboard tells you whether AI engines mention you, cite you or quietly recommend a competitor instead.

Each engine answers differently

ChatGPT, Perplexity, Gemini and AI Overviews pull from different sources and weight them differently. A single-tool check misses most of the picture.

You don’t know why

Even when you spot that you are absent, the cause — a fuzzy entity, thin content, weak third-party authority — stays hidden without a structured audit.

The point of view

You cannot fix what you have not measured across every engine.

AI search visibility is not one number; it is a pattern across engines, prompts and competitors. The audit reads all of it — where you appear, where rivals get cited instead, and the entity, content and authority gaps underneath — then turns it into a ranked list of fixes. It is the umbrella read; for the ChatGPT-specific deep dive, see the ChatGPT visibility audit. Honest framing: the work improves your odds of being cited. No one controls these systems, so no one can guarantee placement.

02 / What you get

A cross-engine audit and a fix plan.

A clear read of where you stand in AI answers today, why, and what to do first — not a vanity report.

Coverage● Mapped

Cross-engine visibility map

Where you are mentioned and cited across ChatGPT, Perplexity, Gemini and Google AI Overviews today, on the real prompts your buyers use.

Benchmark● Scored

Competitor share of voice

How often rivals get named and cited instead of you, so you see the gap in concrete terms, not vibes.

Entity● Diagnosed

Entity & knowledge gaps

Whether models can pin down who you are and who you serve, and where your entity is ambiguous or inconsistent across the web.

Content● Diagnosed

Content & retrieval gaps

Which buyer questions you have no answer-shaped content for, and why what you have is not getting lifted into answers.

Authority● Diagnosed

Citation & source authority

The third-party sources AI models trust on your topic, and where you are missing from the set they pull from.

Plan● Delivered

Prioritized fix plan

Every gap ranked by leverage and effort, with the fastest wins first, so your team knows exactly what to ship next.

03 / Process

How the audit runs.

Scope the prompts

Define the real buyer questions and competitor set that matter to your pipeline, so the audit measures what buyers actually ask.

Query every engine

Run those prompts across ChatGPT, Perplexity, Gemini and AI Overviews and capture where you and rivals are mentioned and cited.

Diagnose the gaps

Trace absences back to root causes across entity clarity, content coverage and source authority — not just symptoms.

Prioritize the fixes

Rank every fix by impact and effort and hand you a plan your team can run, or that I can build with you.

Andrii Byzov, AI search visibility consultant for B2B SaaS

Andrii Byzov / AI search audit

Who you work with

An operator who reads the data, not a dashboard reseller.

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 myself and read it as an operator who has owned pipeline — so the output is a fix plan tied to revenue, not a pile of metrics. I build systems that replace two or three manual roles, not a ChatGPT tab open on the side. I write about AI search regularly on my blog.

AI-nativeSINCE THE GPT ERA

0→14TEAM BUILT & LED

SoloONE ACCOUNTABLE EXPERT

04 / Fit

Is this audit right for you?

A strong fit if

+You are a B2B SaaS or technology company whose buyers research in AI tools.
+You want to know exactly where you stand across every answer engine, not guess.
+You want a prioritized fix plan, not just a score.
+You want one accountable expert reading the data, not a self-serve dashboard.

Not a fit if

−You want a guaranteed #1 spot in ChatGPT — no honest audit promises that.
−You want only the ChatGPT-specific view — see the ChatGPT visibility audit instead.
−You have no website or content to assess yet.
−Your buyers are purely offline and never touch AI search.

05 / FAQ

The audit, answered honestly.

What is an AI search visibility audit? +

It is a structured read of how your company appears across AI answer engines — ChatGPT, Perplexity, Gemini and Google AI Overviews. It measures where you are mentioned and cited versus competitors on real buyer prompts, diagnoses the entity, content and authority gaps behind any absence, and delivers a prioritized fix plan.

Which AI engines does it cover? +

All the major ones buyers use: ChatGPT, Perplexity, Gemini and Google AI Overviews. That breadth is the point — each engine pulls from different sources, so a single-tool check misses most of the picture. For a ChatGPT-only deep dive, see the ChatGPT visibility audit.

How is this different from a normal SEO audit? +

A classic SEO audit checks rankings, crawlability and on-page health for blue links. This audit checks whether AI engines actually mention and cite you in the answers buyers read, and why. It connects to AI search optimization and GEO for the fixes.

Can you guarantee I'll get cited after the fixes? +

No. No one controls these systems, so no one can honestly guarantee citations or placement. The audit and the fixes that follow improve your odds of being retrieved and cited, and give you a baseline to track presence over time. See AI visibility for the ongoing tracking side.

What do I actually receive? +

A cross-engine visibility map, a competitor share-of-voice benchmark, a diagnosis of your entity, content and authority gaps, and a prioritized fix plan ranked by impact and effort. Your team can run it, or I can build the fixes with you.

How long does it take and what does it cost? +

A focused audit is typically a short, fixed-scope project — timing depends on the number of prompts and competitors. Cost scales with scope; I quote it up front, with no invented packages.

Your AI searchvisibility audit.