Inside the Number: What Goes Into Your 3BL AI Visibility Score

A behind-the-scenes look at how mentions, position, and share of voice combine into a single score.

Your AI Visibility Score gives you one number to track how a major AI platform is talking about your brand. But a single score can hide a lot of nuance, so we wanted to open up the calculation and show exactly what feeds it. That score is built from real coverage, position, and share of voice signals pulled straight from actual AI platform responses, then weighted into a single 0–100 read with a leadership tier layered on top.

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3BL's AI Visibility Tracker overview
3BL's AI Visibility Tracker Overview - a KPI scorecard where you stand

What's in the score

A score is only useful if you can see what's driving it. Ours is built from three main components:

  • Coverage — how often you come up across the prompt set
  • Position — where you land within the response
  • Share of voice — your presence relative to competitors
How each component is weighted in your overall score
Component What it measures Weight
Query coverage Is your brand part of the AI conversations that matter? 40%
Position score When AI mentions you, does it lead with you? 35%
Share of voice How much of the conversation is yours alongside target topics? 25%
Total   100%

How we calculate it

  1. Collect responses across ChatGPT, Claude, Gemini, and Perplexity
  2. Score each dimension independently
  3. Apply the weights above
  4. Normalize to a 0-100 scale

See it in action:

"We built the score to answer three questions our customers kept asking us directly: are we showing up at all, when we show up, is it fair, and how does that compare to our peers?

No single metric answers all three on its own, why is why the score is a blend rather than a raw mention count." — The AI Visibility Product & Engineering team

Where the data comes from

94% of B2B buyers now use AI in purchasing decisions.1

Every score traces back to a real AI response — nothing here is estimated or extrapolated. If a stakeholder group is already leaning on AI for research and decisions, as covered in why AI visibility matters for brand reputation, the score needs to reflect exactly what that group is actually seeing, not a proxy for it. That's also why how you're syndicated affects earned media reach matters more than it used to.

The full methodology, including edge cases and how we handle low-confidence reads, is documented in our knowledge base.

If you want to see what AI platforms are already saying about your brand, try the AI Visibility Tracker for free.


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