Solution

How to Measure AI Visibility

AI visibility is measured by running a fixed bank of buyer prompts across AI engines on a schedule and computing five core metrics from the answers: visibility rate, average position, recommendation rate, sentiment, and share of voice. Here's the full framework, from metric definitions to reporting cadence.

  • measure AI visibility
  • AI visibility metrics
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  • Marketing teams & agencies

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The five core metrics

  • Visibility rate — % of relevant answers that mention you, per engine. Your headline number.
  • Average position — where you appear in list answers. Position 1–3 drives most consideration.
  • Recommendation rate — % of mentions that are endorsements, not just listings. The quality layer.
  • Sentiment — how engines frame you. Catches "winning the mention, losing the framing."
  • Share of voice — your mentions ÷ all competitor mentions. The honest trend in a growing category.

Supporting metrics

Citations (which of your pages engines fetch and cite), AI referral traffic (sessions from AI surfaces), branded search growth (the zero-click effect showing up in Google), and assisted conversions. The supporting set connects visibility to revenue.

Measurement design rules

  1. Fix the prompt bank — you can't trend a moving target. Version it when you change it.
  2. Measure per engine — the aggregate hides every actionable gap.
  3. Separate grounded and ungrounded modes — they move on different clocks for different reasons.
  4. Run daily — weekly cadence misses fresh mentions and catches drops late.
  5. Keep the evidence — every number should click through to the verbatim answer behind it.

Seeqly implements this whole framework out of the box: curated prompt banks, five engines, daily runs, weighted scores, and traces behind every metric.

Frequently asked questions

What is a good AI visibility score?

Scores only mean something against a baseline and a competitive set. The right questions: are you trending up, and are you top-3 in the prompt clusters that drive revenue?

How many prompts do I need to measure reliably?

20–30 per campaign goal is typical — enough to smooth single-run noise, focused enough to stay interpretable.

Can I measure AI visibility manually?

You can spot-check manually, but trends need fixed prompts, daily cadence, and stored traces — which is a pipeline, not a spreadsheet.

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