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.
- Run a consistent set of queries across ChatGPT, Claude, Gemini and Google AI Overviews
- Record whether your brand appears in each response
- Note the position: Claude mentions brands earliest (8.5% into the response). Gemini buries them later (20.2% in). Position affects whether users see your brand before they stop reading.
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.
- Track whether AI frames your brand positively, neutrally, or as just one option among many
- Compare your recommendation rate against competitors for the same queries
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.
- Track which platforms link to your content vs just mention your brand name
- Monitor citation frequency over time — this is where Share of Memory comes in (see the dedicated section below)
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:
- ChatGPT contracts 33% on booking-intent queries (422 → 284 words) and increases hedging 4x — it actively retreats from the conversion moment
- Google AIO uses 4.3x more superlatives on comparison queries ("best", "top", "leading") — it leans into verdicts
- Gemini barely changes regardless of intent (CV 9.8%) — it applies the same thoroughness to every query
Measure your visibility by intent type. You might dominate discovery queries but be invisible for booking queries — or vice versa.
5. Competitive Benchmarking
- Run identical queries for your brand and competitors across all four platforms
- Compare mention rates, recommendation rates and brand density
- If competitors are cited for topics you want to own, that's your content gap. Read more about why brands don't show up in AI answers.
Share of Memory: The AI-Era Share of Voice
Share of Memory measures how frequently AI platforms include your brand in their responses relative to competitors. It's the AI-era equivalent of share of voice — but instead of counting media mentions, it counts how often AI systems "remember" you when answering questions about your category.
The metric matters because AI platforms are increasingly where customers form opinions. When someone asks ChatGPT "what's the best X for Y?", the brands that appear in the answer have share of memory. The ones that don't are invisible.
Our data shows share of memory isn't one number — it's four different numbers, depending on which platform you're measuring:
| Platform | Brand Mention Rate | Brands per Response | Where Brands Appear |
|---|---|---|---|
| Gemini | 82.5% | 3.4 | 20.2% into response |
| ChatGPT | 74.2% | 2.7 | 17.5% into response |
| Claude | 70.1% | 1.9 | 8.5% into response |
| Google AIO | 42.5% | 1.1 | 21% into response |
The same visibility percentage means different things on different platforms. A brand appearing in 70% of Claude responses (where it's one of 1.9 brands, mentioned first) has very different share of memory than the same brand appearing in 70% of Gemini responses (where it's one of 3.4 brands, mentioned later).
How to Increase Share of Memory
- Understand each platform's citation behaviour. Gemini cites sources in 30.4% of responses. Claude cites in just 8.7%. Build content optimised for the platforms where citation earns the most visibility.
- Build entity authority. Structured data (Organization, Product, FAQ schema) gives AI models clear signals about your brand. This is a "memory hook" that helps AI recall your entity.
- Earn third-party mentions. AI models weight authoritative sources. Citations from industry publications, review platforms, and forums increase the likelihood of being "remembered" in responses.
- Match content to intent. Discovery-intent content should be comprehensive and informational. Comparison content needs clear positioning and specific claims. Booking-intent content needs trust signals.
- Maintain cross-platform presence. Each platform has brand affinities. In travel, ChatGPT favours Airbnb for accommodation. Gemini favours traditional OTAs. Broad distribution increases your chances across all platforms.
Key Takeaways
- Measure per platform: brand mention rates range from 42.5% to 82.5% — a blended average hides the truth
- Track recommendations, not just mentions: ChatGPT recommends 44x more often than Google AIO
- Monitor citation behaviour: Gemini cites sources 3.5x more than Claude
- Segment by intent: ChatGPT shrinks 33% for booking queries — your visibility changes with context
- Benchmark competitors: compare on the same queries across the same platforms
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.