Executive Summary
We analyzed 1,045 brands across ChatGPT, Claude, Gemini, and Perplexity to measure AI brand visibility. This is the largest public study of its kind.
Key Findings
- 44% of brands (459) are completely invisible to all four AI engines
- Only 12% (122 brands) achieve strong visibility (60%+)
- Average visibility across all brands: 21.5%
- 50% of SEO tool companies are themselves invisible to AI
- 55% of brands receive negative or neutral sentiment from AI
What This Means
The AI recommendation landscape is deeply stratified. A small elite dominates while most brands don't exist in AI answers. As AI-driven product discovery grows, the gap between visible and invisible brands will only widen.
Read the full interactive report with charts and data tables on this page.
Methodology
For each of 1,045 brands, we queried all four AI engines with three category-specific prompts per engine (12 queries per brand). Each query simulated a real user asking for product recommendations.
We measured:
- Visibility Score (0-100%) — percentage of queries mentioning the brand
- Sentiment (-1 to 1) — how AI describes the brand
- Role Classification — primary recommendation, alternative, comparison, or absent
- Citation Presence — whether AI provides source links
Industry Rankings
Digital-native industries dominate AI recommendations:
- Fashion Marketplaces: 71.8% avg visibility
- Trading Platforms: 51.3%
- E-commerce Platforms: 42.9%
Traditional industries struggle:
- Fashion (D2C): 0.8%
- Mining: 0.0%
- Inclusive Cosmetics: 1.6%
Implications
- AI visibility is now a competitive advantage — 200M+ weekly ChatGPT users make AI a major discovery channel
- Traditional SEO isn't enough — The SEO industry's own 50% invisibility rate proves optimization for AI requires a different approach
- Monitoring matters — AI recommendations change with model updates; continuous tracking is essential
Check your own brand's AI visibility free →
Originally published on GeoBuddy Blog.
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