The AI Search Index
How AI search engines discover, crawl, and recommend the web. Aggregated from 3,358+ properties across 8 models - updated daily.
ChatGPT drives 80% of all AI referral traffic — more than every other model combined.
AI Referral Traffic by Source
Rescaled so the highest visible point = 100%
Aggregated from 3,358+ anonymized GA4 properties. Market share = % of total AI sessions (30d). Updated daily.
Review / Directory pages are 4.8x efficient - cited far more than crawled. Homepage pages are just 0.74x - heavily crawled but rarely recommended.
AI models only agree 43% of the time on average. Claude and Deepseek agree most (35%), while Meta and Perplexity diverge the most (10%).
Clau | ||||||||
|---|---|---|---|---|---|---|---|---|
- | 27 | 21 | 20 | 24 | 25 | 17 | 17 | |
Claude | 27 | - | 26 | 19 | 35 | 35 | 23 | 15 |
21 | 26 | - | 17 | 24 | 26 | 16 | 12 | |
20 | 19 | 17 | - | 17 | 18 | 12 | 17 | |
24 | 35 | 24 | 17 | - | 31 | 21 | 14 | |
25 | 35 | 26 | 18 | 31 | - | 22 | 15 | |
17 | 23 | 16 | 12 | 21 | 22 | - | 10 | |
17 | 15 | 12 | 17 | 14 | 15 | 10 | - |
ChatGPT crawlers account for 72% of all visits — more than all other crawlers combined. 88.5% of pages are visited exactly once and never revisited.
Amazon
Claude Training1 in 3 prompts is rewritten before reaching search results. Only 0.17% pass through unchanged. Year injection is the most common pattern - AI models assume you want current information even when you don't specify it.
Only 13.3% of AI-cited domains have llms.txt, and there's no statistical evidence it improves citation rates (p = 0.85). The verdict: inconclusive.
of AI-cited domains have adopted llms.txt. While adoption is growing, the file's effect on citation rates remains statistically indistinguishable from noise.
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