MyAibo configures llms.txt alongside bot-specific robots.txt, HTTP headers, and server-level rate limiting — maximizing compliant indexing where you want citation and blocking unauthorized scraping where you don't, backed by legal-technical documentation.
Are AI Crawlers Scraping Your Proprietary Content Without Permission While Missing the Pages You Actually Want Indexed?
By default, crawlers access everything indiscriminately — proprietary or gated content included — while your best citable content may be blocked by misconfigured directives.
llms.txt Architecture & Deployment
We build your llms.txt manifest — organization description, structured content index, explicit permission statements, and licensing contact — plus llms-full.txt for larger sites.
Gives LLMs a roadmap to your best content instead of your oldest.
Bot-Specific robots.txt Directives & AI Crawler Identification
We set directives per crawler (GPTBot, ClaudeBot, Google-Extended, PerplexityBot, and others), tiering pages as crawlable, rate-limited, or blocked, with server-level bot fingerprinting.
Gives legal teams documented governance evidence and stops unexplained server load from aggressive bots.
Unauthorized AI Scraping Prevention & Legal-Technical Documentation
We add rate limiting, CAPTCHA gating, IP blocking, and X-Robots-Tag headers, plus a full AI Access Policy for your Terms of Service.
Gives media companies and data-driven firms a defensible legal position on their core IP.
Our 4-Phase LLM Bot Compliance Framework
- 1Week 1
AI Crawler Access Audit
Log analysis to identify every AI crawler hitting your site and produce a full traffic report.
- 2Week 2
Governance Architecture Design
Design llms.txt, bot-specific directives, headers, and rate limits per content tier.
- 3Weeks 3–4
Technical Deployment
Implement and validate all configurations.
- 4Ongoing
Monitoring & Policy Maintenance
Quarterly audits for new crawlers and policy updates.