LLM training crawlers and AI scrapers can hammer your site, inflate costs and lift your content without consent. Here's how to identify them and apply a policy that fits your goals — block, throttle, or allow with attribution.
Know your three audiences
- Declared crawlers: bots that announce themselves (and sometimes honor robots.txt). Verify them — many fakes claim to be a famous crawler.
- Stealth scrapers: automation pretending to be a normal browser, often via residential proxies.
- User-driven AI agents: an assistant acting for a real person in real time.
Step 1: robots.txt (necessary, not sufficient)
Publish clear rules and disallow paths you don't want trained on. Well-behaved crawlers comply — but scrapers ignore robots.txt, so this is only the first layer.
Step 2: verify declared crawlers
For bots claiming to be a known crawler, confirm via reverse DNS / forward-confirmed rDNS. detectip.ai performs this crawler verification and flags fakes (UA says one thing, rDNS disagrees).
Step 3: detect stealth scrapers
This is where most defenses fail. Use network fingerprinting (JA4/QUIC) plus IP intelligence to catch automation that fakes the User-Agent and rotates IPs — see how to detect AI agents and bots.
Step 4: apply policy
- Block abusive, high-volume scrapers.
- Throttle unknown automation (see rate-limiting AI bots).
- Allow verified partners, optionally with a separate quota or price.
FAQ
Will blocking AI crawlers hurt SEO? Distinguish search crawlers (which you usually want) from training scrapers; verify and treat them differently.
Can I monetize AI access instead of blocking? Yes — detect first, then meter. Start with a free key.