KnitKnot

# The AI Presence Score

How the 0–100 score is composed, what visibility and win rate measure, and why the trend matters more than any single reading.

The AI Presence Score is the headline number of every benchmark: a 0–100 composite of how favorably AI represents you when buyers ask questions. It is written at scoring time from the same underlying data every other number in your report reads, so the score and its drill-downs never disagree.

## What goes into it

The score combines four dimensions, each measured across every scored response in the run:

  • - **Presence** : do you show up at all, and how prominently? Every response is classified by how much of it is about you, from being the primary subject down to a passing mention or complete absence.
  • - **Competitive outcomes** : in head-to-head comparisons, does the AI pick you, a competitor, or call it a tie?
  • - **Accuracy** : do material claims agree with supported company facts? An unsupported claim remains unverified until the available evidence can settle it.
  • - **Framing** : when you do appear, is the sentiment and positioning favorable?

## Visibility

Visibility is the share of answers where you were mentioned at all. One important detail: questions that name your company directly (head-to-head questions like "Compare X vs Y") are excluded from this number : an AI mentioning you because the question forced it to isn't real visibility. What's left measures **organic** visibility: how often you surface when a buyer asks an open question about the category.

## Win rate

**Win rate** is the share of head-to-head outcomes you won: wins divided by wins, ties, and losses. A tie lowers this rate because the AI did not choose you. The Head-to-head table also shows **decided win rate**: wins divided by wins and losses only. This second rate is blank when there are no wins or losses. Open an outcome to read the response behind it.

If the AI recommends one of your own products over another, that's a win for your brand, not a loss : scoring understands your product family. See [Subjects: brands and products](/docs/subjects/).

## Reading the score

  • - **Read the trend with its coverage.** AI answers vary between runs. Check how many answers were scored, which engines ran, and whether the prompts changed before interpreting a score movement.
  • - **Keep the measuring set steady.** Your [prompt library](/docs/manage-questions/) persists, but you can add or archive prompts. Compare runs with the same active prompts and engines when you want a close before-and-after reading.
  • - **Per-product scores are separate.** Each product you track gets its own score over its own questions, alongside the brand-level score.
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The AI Presence Score

How the 0–100 score is composed, what visibility and win rate measure, and why the trend matters more than any single reading.

Updated

The AI Presence Score is the headline number of every benchmark: a 0–100 composite of how favorably AI represents you when buyers ask questions. It is written at scoring time from the same underlying data every other number in your report reads, so the score and its drill-downs never disagree.

What goes into it

The score combines four dimensions, each measured across every scored response in the run:

  • Presence : do you show up at all, and how prominently? Every response is classified by how much of it is about you, from being the primary subject down to a passing mention or complete absence.
  • Competitive outcomes : in head-to-head comparisons, does the AI pick you, a competitor, or call it a tie?
  • Accuracy : do material claims agree with supported company facts? An unsupported claim remains unverified until the available evidence can settle it.
  • Framing : when you do appear, is the sentiment and positioning favorable?

Visibility

Visibility is the share of answers where you were mentioned at all. One important detail: questions that name your company directly (head-to-head questions like “Compare X vs Y”) are excluded from this number : an AI mentioning you because the question forced it to isn’t real visibility. What’s left measures organic visibility: how often you surface when a buyer asks an open question about the category.

Win rate

Win rate is the share of head-to-head outcomes you won: wins divided by wins, ties, and losses. A tie lowers this rate because the AI did not choose you. The Head-to-head table also shows decided win rate: wins divided by wins and losses only. This second rate is blank when there are no wins or losses. Open an outcome to read the response behind it.

If the AI recommends one of your own products over another, that’s a win for your brand, not a loss : scoring understands your product family. See Subjects: brands and products.

Reading the score

  • Read the trend with its coverage. AI answers vary between runs. Check how many answers were scored, which engines ran, and whether the prompts changed before interpreting a score movement.
  • Keep the measuring set steady. Your prompt library persists, but you can add or archive prompts. Compare runs with the same active prompts and engines when you want a close before-and-after reading.
  • Per-product scores are separate. Each product you track gets its own score over its own questions, alongside the brand-level score.