LLMS.txt Adoption Research Report
Comprehensive analysis of LLMS.txt adoption across the top 1,000 websites. Real-time data tracking AI content transparency standards.
Last updated: June 22, 2025
Research Methodology
Transparent, automated scanning with rigorous validation
Data Collection
Automated scanning of domain.com/llms.txt endpoints for the top 1,000 most visited websites globally with proper HTTP headers and timeout handling.
Validation Criteria
Only HTTP 200 responses with valid text content are considered successful LLMS.txt implementations. Redirects and HTML responses are excluded.
Verification
Manual spot-checking confirms automated results accuracy with additional verification of response content and format.
Update Frequency
Data is refreshed monthly to track adoption trends over time with automated monitoring and real-time analysis capabilities.
Key Research Findings
Critical insights from our comprehensive analysis of LLMS.txt adoption patterns
Zero Current Adoption
Our comprehensive scan of the top 1,000 websites reveals that not a single major platform has implemented LLMS.txt transparency standards. This represents a complete absence of formal AI training disclosure across the web's most visited destinations.
Massive Awareness Gap
The absence of LLMS.txt files suggests either widespread unawareness of the standard or deliberate non-adoption. Major platforms like Google, Facebook, and Amazon show no evidence of considering AI training transparency protocols.
First-Mover Advantage
Organizations implementing LLMS.txt now can establish themselves as transparency leaders in AI ethics. With zero current adoption, early implementers will stand out as responsible AI training partners and ethical technology companies.
Historical Adoption Trends
Track LLMS.txt adoption growth over time with monthly data collection
Scan Results Summary
Latest monthly scan of the top 1,000 websites
Key Finding: Early Adoption Emerging
Our comprehensive scan found 3 LLMS.txt implementations among the top 1,000 websites (0.3% adoption). While still early stage for this September 2024 proposal, initial adoption signals growing awareness of AI transparency standards.
Scan Coverage by Category
Data collected from monthly scans of the top 1,000 websites globally, ranked by organic traffic and search visibility
Adoption Trend Analysis
Monthly tracking of LLMS.txt implementation across the top 1,000 websites
Historical Adoption Data
Monthly scan results showing LLMS.txt adoption growth
Positive Trend: LLMS.txt adoption is showing initial growth, with 3 sites now implementing the standard compared to 0 at the start of 2025. This represents the first wave of AI transparency adoption among major websites.
Website Category Breakdown
Analysis of LLMS.txt adoption patterns across different industry sectors
Category Analysis
Distribution of scanned websites and adoption rates by industry
Sites Scanned by Category
Adoption Rate by Category
Based on analysis of 1,000 top-ranked websites globally
Frequently Asked Questions
Everything you need to know about LLMS.txt and our tracking methodology
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