Before you can fix your AI visibility problem, you need to know what it actually is. Most B2B marketers don't — they have no framework for measuring how ChatGPT, Perplexity, or Claude perceive their brand, so they default to guesswork and gut feeling.

That's a problem. Because the gap between "we have good SEO" and "we show up in AI recommendations" is wide — and it's not closing on its own.

5 min
That's all it takes to run a structured AI visibility audit. You just need the right checklist.

This guide walks you through a 5-step self-audit you can do right now — no tools, no subscriptions, no waiting. It won't replace a full AI visibility audit, but it'll tell you exactly how deep the problem goes and which signals need the most work.

The 5-Minute AI Visibility Checklist

Work through these five steps in order. Each one checks a distinct signal that AI models use when deciding whether to recommend your company. Track your score as you go.

1
Check whether AI models can even identify what you do
Go to ChatGPT (or Perplexity) and run this prompt cold — no preamble, no extra context:
Test prompt
"Recommend [your category] tools for [your target buyer persona]. Which vendors are most trusted?"
Does your company appear anywhere in the first response? Not buried in a footnote — in the main answer. Score this: Appears prominently (green), Mentioned once or buried (yellow), Not mentioned at all (red).
  • If red or yellow, your company's entity definition is weak or absent in AI training data
  • Note which competitors ARE mentioned — that's your benchmark
2
Audit your third-party citation footprint
AI models heavily weight third-party sources. Run this search across a few platforms:
  • Google News: Search "[Your Company] + [Your Category]" — how many articles from independent publications mention you?
  • G2 / Capterra: Do you have a profile with at least 20 detailed reviews?
  • LinkedIn: Are you mentioned in posts by people who don't work for you?
  • Reddit / Quora: Do practitioners discuss your company when asking about your category?
Score: Active presence across 3+ platforms (green), 2 platforms (yellow), 1 or fewer (red). 85% of AI model citations come from third-party sources — not your own website.
3
Check if your own site is machine-readable
Run your homepage URL through a structured data validator. You're looking for Organization schema at minimum — ideally Product schema, FAQ schema, and LocalBusiness if you have a physical component.
  • Does the page return valid JSON-LD structured data?
  • Is your company name, description, and category explicit in the markup?
  • Is there a Logo object and SameAs link to your social profiles?
Score: All schema types present and valid (green), Organization schema only (yellow), No schema found (red). Most B2B sites score red here.
4
Test your definitional authority
AI models frequently cite companies that own the definitions of concepts in their space. Ask:
Test prompt
"What is [key concept in your category]? Who is it attributed to?"
Does your company appear as a source or reference for the core concept that defines your category? If not, you're missing one of the fastest paths to AI visibility.
  • Your category's core concept page (e.g., "what is data enrichment") — does your site own it?
  • Is the content structured with clear H2/H3 headings, bullet points, and sourced facts?
  • Is the concept definition thorough enough that an AI model would quote it?
Score: Company cited as definitional authority (green), Definitional page exists but not cited (yellow), No definitional content (red).
5
Map your competitor's citation network
Pick the competitor that appeared first in Step 1. Run a quick competitive citation check:
  • How many distinct publications mention them vs. you?
  • Do they have a stronger review presence on G2 or TrustRadius?
  • Are they referenced in the Quora/Reddit threads where your buyers ask questions?
  • Do they have a "recommended by" or "as seen in" section with credible logos?
Score: Competitor ahead on 1–2 vectors (green), Competitor ahead on 3+ vectors (yellow), Competitor dominates all vectors (red). This tells you exactly where to focus first.

What Your Score Tells You

Calculate your overall audit score: count green/yellow/red across all five steps.

"A manual audit tells you where you stand. An automated audit tells you exactly what to do next."

When the Manual Audit Isn't Enough

The 5-minute checklist above gives you directional clarity. But it can't tell you your exact citation share against competitors, which specific sources are missing, or how your visibility changes across ChatGPT vs. Claude vs. Perplexity — each model weights sources differently.

For that level of specificity, you need an automated AI visibility audit that queries all three major models, scores your presence across 5 signal dimensions, and benchmarks you directly against competitors you identified in Step 5.

That's exactly what ClearVisOS does.

Free Tool

Run a full AI Visibility Audit

Automated scans of ChatGPT, Claude, and Perplexity — with a signal-by-signal breakdown and competitor benchmark. Takes 2 minutes.

Run Your Free Audit →

No credit card. Instant report.

PC
Paul Chaney
25+ years in digital marketing. Author of 5 books on digital strategy. Former editor at Practical Ecommerce. Now focused on helping B2B companies close the gap between great products and AI-visible brands.
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