Chapter 9

AI Visibility Metrics
That Actually Matter

If you measure the wrong thing, you optimize the wrong thing. Traditional SEO metrics were designed for a click-based world. AI ranking requires a new measurement model.

This chapter replaces outdated KPIs with metrics that reflect real influence.

Why Old Metrics Fail

  • Rankings do not guarantee visibility
  • CTR does not capture AI exposure
  • Traffic does not reflect brand recall

You can lose traffic and gain market influence at the same time. That influence lives inside AI answers.

The Core GEO Metrics

Share of Model Voice (SoMV)

Measures how often your brand appears in AI-generated answers compared to competitors. If an AI cites three brands and one is yours, you control roughly one-third of that answer’s influence.

Citation Frequency

Track how often your brand is Mentioned, Quoted, or Used as a reference. Repeat citations signal authority. One-off mentions do not.

AI Impressions (Not Clicks)

AI impressions occur when your brand influences an answer, even if no click happens. Brand recall often shows up later as Direct traffic, Branded searches, or Offline inquiries.

Sentiment & Recommendation Strength

AI answers carry tone. Being cited as “one option” is different from being cited as “the best option.” Monitor how AI systems describe your brand. Language matters.

How to Audit AI Visibility

You do not need enterprise tools to start. Simple steps:

  1. Ask ChatGPT, Gemini, and Perplexity your key industry questions
  2. Record which brands appear
  3. Track changes monthly
  4. Adjust content accordingly

As your system matures, dedicated GEO platforms can automate this process.

Reporting to Leadership

AI visibility should sit alongside SEO metrics—not replace them. Report Traditional traffic, AI citations, Brand mentions, and SoMV trends.

This reframes success from “visits” to influence.

At this point in the book, you now have: Content that AI can retrieve, Trust signals AI can verify, and Metrics that reflect real visibility.