llms.txt and AI Crawler Optimization
for AI search visibility
llms.txt is a plain text file that points AI systems to your most important pages. On its own it does little, because most AI crawlers still read your HTML and skip the file. Real visibility comes from correct crawler access rules, crawlable pages, and an llms.txt that lists content worth citing. We handle all three.
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Set up correctly
A valid llms.txt and llms-full.txt that list the pages you want cited, in the format the spec defines.
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Access, controlled
robots.txt rules that let AI search bots in and keep training bots out, exactly as you decide.
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Readable by machines
Clean HTML and fast pages, so AI bots see real text instead of empty script-rendered shells.
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Measured from logs
We check which AI bots actually fetch your site, so choices rest on real crawl data.
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Why crawler access matters more than the file
AI search now sends real clicks and real citations. That only happens if the systems behind ChatGPT, Perplexity, Google AI Overviews and Gemini can reach and read your pages. Most sites lose ground here not because they lack an llms.txt, but because their access rules or their HTML block the bots that matter.
What our llms.txt and AI crawler service covers
- A valid llms.txt and llms-full.txt built from your real content
- robots.txt rules split between training bots and search agents
- Access checks for GPTBot, ClaudeBot, PerplexityBot, Google-Extended and OAI-SearchBot
- Rendering fixes so AI bots read full text, not empty scripts
- A monthly log review of which AI bots crawled you
- More eligibility for citations across the major AI engines
- Control over what feeds model training versus live AI answers
- Cleaner, faster pages that crawlers and readers both prefer
- Proof of impact from crawl logs, not guesswork
llms.txt and AI crawler setup plans
Starter
- llms.txt and robots.txt configured
- Crawlability and rendering audit
- AI bot access check for one site
Get one site crawlable and correctly set up for AI.
Growth
- Everything in Starter
- Per-engine access rules and testing
- Monthly AI crawler log reports
Open access to the AI engines that matter and track the bots.
Scale
- Everything in Growth
- Multi-site or large-domain rollout
- Ongoing monitoring and adjustments
Full setup across many sites or a large domain, reviewed monthly.
Adding an llms.txt file looks like a five-minute task, but making it genuinely useful to AI crawlers means auditing how your whole site is structured, crawled, and rendered first. Skipping that step means the file exists without actually improving anything.
Because every site's crawl setup and technical history are different, we confirm the exact scope of work after auditing your site, so your timeline depends mainly on how quickly you can grant access and approve the recommended changes.
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All publicationsFrequently Asked Questions
llms.txt is a Markdown file at your domain root that lists your key pages with short descriptions for AI systems. It is a community convention, not an official standard, meant to help models find your best content quickly.
Mostly not yet. As of 2026 no major AI company has committed to using it in production, and studies show GPTBot, ClaudeBot and PerplexityBot almost always crawl HTML and skip the file. Developer agents like Cursor and Claude Code do read it for documentation.
It costs little, does no harm, and forces you to decide which pages deserve citation. It also helps developer tools that read docs. We treat it as one small signal, not a traffic driver, and we say so honestly.
Three things: robots.txt rules that let AI search agents in, HTML that bots can read without running JavaScript, and content clear enough to quote. Get those right and you become eligible for AI citations, with or without an llms.txt.
Yes. You can disallow training crawlers like GPTBot and Google-Extended while allowing search agents like OAI-SearchBot and PerplexityBot. We set rules per bot so your content feeds live answers without entering training data, as far as each engine honors it.
We read your server logs. They show which AI bots fetched which pages and how often, so we can confirm access is open to the engines you care about and adjust when a crawler changes behavior.
