Geeks Digital A dozen AI crawlers hit your site weekly: GPTBot, ClaudeBot, PerplexityBot, Google-Extended and a lengthening list of others. Most companies have never decided what these systems may read; a firewall default or a copied robots.txt is silently setting policy. The result is usually one of two accidents: total invisibility in AI answers, or total exposure of content you meant to protect.
AI crawl control turns the accident into a decision, and llms.txt adds the guidance layer: a machine-readable map pointing AI systems at your canonical, citable pages.
What we handle
- Crawler census: which AI bots actually visit you, from logs, and what your current rules let them see
- Policy design: page-by-page decisions on open versus protected, mapped to business logic instead of fear
- robots.txt engineering for the full roster of AI agents, training crawlers and retrieval fetchers distinguished correctly
- llms.txt authoring: your best answers, key facts and canonical pages, structured the way the emerging standard expects
- CDN and firewall alignment, because a security rule can silently override everything above it
- Compliance monitoring: verifying the bots respect the rules, flagging the ones that do not
Our approach
Logs first, opinions second: the census shows what is actually happening before we change anything. The policy workshop then draws the open/protected line deliberately, and implementation ships with verification. Quarterly reviews keep pace as new crawlers appear, which they do constantly.
Does llms.txt actually work yet?
Adoption is early and growing; several assistants already read it, and the cost of shipping it is an afternoon. Being on record with clean guidance now costs little and positions you for every system that adopts it next.
Should we block training crawlers but allow retrieval?
That split is exactly the nuance most sites miss and the standard rules allow: many brands protect bulk training ingestion while staying visible to live answer retrieval. We map the tradeoffs per content type and implement precisely.
This is the access layer of GEO, verified inside Technical SEO work, and its impact shows up in AI Prompt Rank Tracking.
