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POLICY & REGULATIONPatreon2026-07-17

Patreon Escalates AI Scraping Defenses with Active Bot Blocking

Key Takeaways

  • ▸Patreon shifted from passive (robots.txt) to active (Cloudflare AI Crawl Control) blocking of AI training bots
  • ▸Testing revealed AI scrapers were ignoring robots.txt entirely, with thousands of weekly attempts now reduced to zero
  • ▸New platform features like Home Feed and Quips inadvertently exposed more content to AI crawlers, necessitating stronger enforcement
Source:
Hacker Newshttps://techcrunch.com/2026/07/17/patreon-stops-asking-ai-bots-not-to-scrape-and-starts-blocking-them/↗

Summary

Patreon is moving beyond passive requests to actively block AI training bots from scraping its platform. Working with Cloudflare's AI Crawl Control technology, Patreon has implemented stricter enforcement measures after discovering that AI crawlers have been ignoring its robots.txt file and scraping content without permission. During testing, weekly scraping attempts from individual training crawlers were reduced from thousands to zero.

The platform introduced these measures because AI scraping has become increasingly sophisticated since Patreon first attempted to deter AI crawlers in 2023. New features like the redesigned Home Feed and Quips—a Twitter-like tool—inadvertently exposed more creator content to potential scrapers. Rather than relying on rules-based instructions, Patreon is now using Cloudflare's technology to directly prevent unauthorized access, while still allowing bots that index pages and drive traffic back to the platform.

The move reflects a broader shift in how platforms are managing AI-driven data collection. Patreon's approach prioritizes creator consent and control, with product chief Drew Rowny stating: "Creators deserve a meaningful say in how their work is used by AI companies." This contrasts sharply with much of the internet, where creators must accept AI training on their work just to reach an audience.

  • Patreon allows indexing bots that drive traffic back to creators, but blocks bots trained solely for model training without consent
Regulation & PolicyEthics & BiasAI Safety & AlignmentPrivacy & Data

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