We crawled 4,413 brand websites across 35 industry categories to measure how prepared they are for AI-driven discovery.
The AI Readiness Gap
Our AI Readiness Score measures four signals: llms.txt, schema.org, robots.txt AI rules, and FAQ schema. The overall average is just 27.2 out of 100.
Top 5 Most AI-Ready Categories
| Category | Avg Score | llms.txt |
|---|---|---|
| HR & Recruiting | 35.4 | 36% |
| Sales Tools | 34.9 | 34% |
| Cybersecurity | 33.1 | 30% |
| CRM | 33.1 | 28% |
| Marketing | 32.5 | 28% |
Bottom 5: The Laggards
| Category | Avg Score | llms.txt |
|---|---|---|
| Health & Wellness | 18.8 | 8% |
| Fashion & Apparel | 18.9 | 10% |
| Agriculture Tech | 19.4 | 10% |
| Gaming | 19.8 | 10% |
| Automotive Tech | 20.5 | 8% |
Why B2B SaaS Leads
Categories where buyers are technical have higher AI readiness. Consumer-facing categories lag because their marketing teams haven't recognized AI search as a channel worth optimizing.
What This Means
If you're in a lagging category, this is your opportunity. Being first to optimize for AI discovery gives you a significant first-mover advantage.
- Create an llms.txt file with our free generator
- Add schema.org markup - Organization, Product, and FAQ schemas
- Don't block AI crawlers - check with our free checker
Data from crawling 4,413 brands on April 24, 2026. See AI Readiness Leaders