Live statistics from the AI Recommendation Index — what ChatGPT, Claude, Gemini, Perplexity and Grok actually recommend, measured continuously. Every number below carries its sample size and window. Licensed CC BY 4.0 — free to use with attribution to orbator.io.
Last updated: Jul 23, 2026 · Window: Jun 25, 2026 – Jul 23, 2026 (28-day rolling)
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294
Categories measured
active Index categories
14,837
Products tracked
canonical entities in the registry
15,659
AI answers sampled
n=15,659 · 28-day window
5
Engines measured
models disclosed below
CLAUDE
claude-sonnet-5
● collecting
PERPLEXITY
sonar
● collecting
CHATGPT
chat-latest
● collecting
GEMINI
gemini-2.5-flash
● collecting
GROK
grok-4.20-0309-non-reasoning
● collecting
The exact model each engine answers with, read live from the collectors — full sampling details in the methodology.
10.9%
Engine agreement rate
The share of categories where the same product leads every engine measuring it. In the other 89.1% of categories, the engines disagree on the #1 recommendation.
n=293 categories with ≥3 engines present · 28-day window
45.5%
Of AI citations are vendor-owned
When AI engines cite sources while recommending software, 47,245 of 103,929 citations point at domains owned by vendors in the Index registry — the industry writing about itself. Search-grounding redirector URLs (vertexaisearch) are excluded as noise.
n=103,929 citations · 28-day window
The products AI engines recommend across the most categories — measured across 294 categories with answers in the current window.
| # | Product | Categories | Engines | Answers naming it |
|---|---|---|---|---|
| 1 | Zapierzapier.com | 167 / 294 | 5 | 1,268 |
| 2 | Zohozoho.com | 117 / 294 | 5 | 1,266 |
| 3 | GuideFlowguideflow.com | 115 / 294 | 5 | 353 |
| 4 | Slackslack.com | 106 / 294 | 5 | 1,111 |
| 5 | G2g2.com | 105 / 294 | 5 | 213 |
n=294 categories · 28-day window
Licensed CC BY 4.0 — free to use with attribution to orbator.io. This page refreshes hourly; the same numbers are machine-readable at /api/index/data-stats, per-category rankings at the AI Recommendation Index, and measurement details in the methodology.
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