Live, scanning the open webAI Visibility Audit Platform

AI Visibility

AI Visibility Score Explained

What the number means, how it is built, and how to move it up over time.

By Matthew Lin, Founder, AudFlo·09 Jun 2026·Updated 09 Jun 2026·5 min read
Infographic: AI Visibility Score Explained, showing a 72 out of 100 score with a breakdown across brand clarity, topical authority, trust signals, content structure, and external recognition.

A number from zero to one hundred, built from four pillars and thirty-two checks.

Quick answer

The AI Visibility Score is a number from zero to one hundred. It shows how well AI engines can understand, trust, and recommend you. AudFlo measures it across four pillars and thirty-two checks. The score falls into four bands. Zero to forty-four is invisible. Forty-five to sixty-four is below recommendable. Sixty-five to seventy-nine is approaching. Eighty and up is recommended. The score is a guide, not a guarantee. It points you to the gaps that cost you the most, so you fix those first.

What the score measures

The AI Visibility Score is a number from zero to one hundred. It shows how well AI engines can understand, trust, and recommend you.

It is not a vanity metric. A low score means an AI cannot place you, which means it will not name you.

The four pillars

AudFlo scores four pillars. Each answers a question an AI asks about your site.

  • Technical Visibility: can the AI reach and read you.
  • Structural Understanding: can it tell your category and buyer.
  • Answer Selection: does it have something to quote.
  • Authority Signals: can it trust you.

Together they cover thirty-two checks. The full breakdown lives in the methodology.

The AI Visibility Score Bands

The score falls into four bands:

  • 0 to 44: invisible. AI cannot place you.
  • 45 to 64: below recommendable. You show up rarely.
  • 65 to 79: approaching. You appear for some queries.
  • 80 to 100: recommended. AI names you with confidence.

Know your band before you change anything.

How to raise your score

Fix the biggest gaps first, not the easiest ones.

  • Start with the pillar scoring lowest.
  • Make one change at a time.
  • Rescan and watch the number move.

For the full method, read the complete AI Visibility Guide. To understand the idea behind the score, read what AI visibility is.

Key takeaways

  • The score runs from zero to one hundred.
  • It measures whether AI can understand, trust, and recommend you.
  • Four pillars and thirty-two checks feed the score.
  • Four bands tell you where you stand.
  • Fix the biggest gaps first, then rescan.

Common questions

FAQ.

What is the AI Visibility Score?+
It is a number from zero to one hundred that shows how well AI engines can understand, trust, and recommend you. A low score means an AI cannot place you.
How is the score calculated?+
AudFlo scores four pillars across thirty-two checks. The pillars are Technical Visibility, Structural Understanding, Answer Selection, and Authority Signals.
What is a good score?+
Eighty and above is the recommended band, where AI names you with confidence. Sixty-five to seventy-nine means you are approaching that point.
How do I raise my score?+
Fix the pillar that scores lowest first. Make one change at a time, then rescan so you can see what actually moved the number.
How often should I rescan?+
After each meaningful change, and at least once a month. AI engines refresh often, so your score can move both up and down over time.

Continue reading

More from the blog.

See why AI recommends competitors instead of you.

AudFlo is an AI Visibility Audit Platform. Run a free scan to get your AI Visibility Score and the exact fixes that help you get recommended.

New here? Read the complete AI Visibility Guide for founders or browse every article on the blog.

About the author

Matthew Lin

Architect by training. Property developer by profession. Tech entrepreneur by passion.

Founder of AudFlo, an AI Visibility Audit Platform that helps founders understand why ChatGPT recommends competitors instead of them.

More about AudFlo · @MattQR on X