OUR METHOD
The AI Visibility Audit: what we look at.
This is the method behind every audit we run. We test the questions real customers ask ChatGPT, Gemini, Perplexity and Google's AI Overviews, then work out why a business does or doesn't get recommended.
WHY THIS MATTERS NOW
You're not in the room
when AI picks the shortlist.
When someone asks ChatGPT, Perplexity, or Google's AI Overview to recommend a supplier, a consultant, or a specialist in your category, it doesn't send them to your website first. It answers. With names.
If your business isn't clear, consistent, and well-represented across the places AI tools pull from, you won't be on that list. And you won't know it.
An audit shows exactly where a business stands today. And the three changes most likely to move the needle.
"You can't fix what you can't see. Most businesses have no idea what AI is saying about them until a customer tells them."
~ Jono Woods, Co-founder, Clarify
WHAT’S INCLUDED
Two documents. No fluff.
Every audit comes as two deliverables and a prioritised action list. No padding, no unnecessary meetings, no 40-page document nobody reads.
AI Visibility Scorecard
One page. Overall verdict in a single sentence. Traffic-light status across seven dimensions. Your top three priority actions, ranked by impact. The whole picture at a glance.
Findings and Fixes Summary
Four to six pages. Screenshot evidence from real AI tools. Plain-English analysis of what's working and what's hurting you. Concrete recommendations with effort ratings. "Do this next" guidance throughout.
Prioritised action list
Three to five changes that will make the biggest difference to how safe and recommendable you look to AI systems. Written so your team, agency, or developer can act on them directly.
WHAT WE ASSESS
Seven dimensions. One clear verdict.
Every audit covers the same seven areas, scored, evidenced, and connected to what it actually means for the business.
Entity clarity and disambiguation
Signal consistency across platforms
AI search and answer presence
AI-answerable content coverage
Proof and reputation
Technical and structured data
Differentiation and safety
This is the work. Want it under your name?
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