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Measurement 8 min read

How to Measure AI Search Visibility

Track mentions, citations, sentiment and share of voice across AI platforms with this practical framework.

Paul Byrne January 2026 Last updated: 9 Feb 2026

Why Measurement Is Hard — and Why It Matters

There's no "ChatGPT Search Console." No click-through data. No ranking position. AI platforms decide whether to mention your brand at all — and each one makes that decision differently. If you're new to this topic, start with our guide on what AI search visibility is.

Our analysis of 5,600 queries across four platforms reveals just how different each platform's behaviour is:

What to Measure Google AIO ChatGPT Claude Gemini
Brand mention rate 42.5% 74.2% 70.1% 82.5%
Recommendation rate 0.2% 8.9% 7.3% 7.3%
Citation rate 3.1% 28.6% 8.7% 30.4%
Avg brands per response 1.1 2.7 1.9 3.4

A brand mentioned by Gemini in 82.5% of responses might only appear in 42.5% of Google AI Overviews. Measuring one platform gives you a misleading picture.

The Measurement Framework

1. Mention Rate: Are You in the Conversation?

The most fundamental metric. What percentage of relevant AI responses include your brand? Our data shows this varies from 42.5% (Google AIO) to 82.5% (Gemini). Track this per platform, not as a blended average.

2. Recommendation Rate: Does AI Endorse You?

Being mentioned isn't the same as being recommended. ChatGPT explicitly recommends brands in 8.9% of responses — 44x more often than Google AI Overviews (0.2%). This distinction matters because a recommendation carries significantly more weight than a passing mention.

3. Citation Behaviour: Does AI Credit You?

Citation rates vary enormously by platform. Gemini cites sources in 30.4% of responses. Claude does so in just 8.7%. This means the same high-quality content might earn citations on Gemini but go unattributed on Claude.

4. Intent-Based Behaviour: Context Changes Everything

AI platforms don't treat all queries the same. Our research found significant behavioural shifts based on query intent:

Measure your visibility by intent type. You might dominate discovery queries but be invisible for booking queries — or vice versa.

5. Competitive Benchmarking

Key Takeaways

Conclusion

Measuring AI search visibility requires a platform-by-platform approach. Each AI system has different brand mention rates, different citation behaviours, and different responses to query intent. The brands that measure all four platforms — and segment by intent — will be the ones that understand their true visibility. The ones that check one platform and assume the rest are the same will miss the picture entirely.

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