AI search fix
What is llms.txt and do you need it for AI search?
llms.txt is a plain-text or markdown file at https://yourdomain.com/llms.txt that summarizes what your site offers and links to priority pages. The llmstxt.org proposal targets LLM workflows, not traditional search rankings. Google says you do not need llms.txt for generative AI features in Search when crawl access and helpful content are in place. For ChatGPT, Perplexity, Claude and similar tools, publishing a lightweight llms.txt can still be a practical GEO step after robots.txt and WAF rules allow AI crawlers.
Treat llms.txt as an optional briefing layer: a title, one-line summary, short context, and markdown links to docs, services, or policies you want AI systems to notice. It does not replace robots.txt, schema.org JSON-LD, or strong on-page answers. Keep the file updated when pricing, product lines, or core URLs change.
When llms.txt is worth adding
- AI crawlers already receive 200 responses on key pages.
- You want a stable map for high-priority URLs beyond HTML navigation.
- Your team can maintain a short markdown file after each deploy.
- You accept that citation still depends on content quality and each platform's policy.
Free · 2 minutes · no card
See what AI crawlers hit on your site
Technical blockers, missing context, weak AI-readiness signals — in one HTML report.
You'll get an HTML report showing whether /llms.txt exists and whether robots.txt or WAF rules block AI crawlers.
Why llms.txt was proposed
The llms.txt idea comes from the llmstxt.org proposal, which argues that large language models work with limited context windows and benefit from a short, curated guide to a site rather than crawling and parsing every page. A conventional website mixes navigation, scripts, and marketing markup that is noisy for a model to read. An llms.txt offers a clean, human-readable index: what the site is, and where the most important content lives. It is a community proposal, not a standard backed by search engines.
Does llms.txt actually work today?
Honestly, the picture is mixed. Google has said llms.txt is not required for its generative AI features in Search, and it has not confirmed using the file. The major assistants have not publicly documented reading it either. What does use it today is a growing set of LLM tools, agents, and documentation pipelines that fetch llms.txt to orient before crawling.
So the file can help in specific workflows, but claims that it lifts rankings or guarantees citations are not supported. Adoption is early, and expectations should match that — useful preparation, not a switch that turns on AI visibility.
llms.txt vs robots.txt vs sitemap.xml
These three files answer different questions. robots.txt sets access policy — which crawlers may fetch which paths. sitemap.xml helps search engines discover every indexable URL. llms.txt is neither a gate nor a full inventory; it is a short editorial map that says, in plain language, here is what matters most. They complement each other: robots.txt must allow AI crawlers first, sitemap.xml aids discovery, and llms.txt provides orientation once a system is already reading your site.
Should you add one?
For most sites it is low-cost and low-risk, so adding a lean llms.txt is reasonable once crawl access is solid and someone can keep it current. It will not compensate for blocked crawlers, thin pages, or missing schema, and it will not, by itself, get your brand named in ChatGPT or Perplexity.
Add it as one small part of GEO hygiene — not a shortcut — and measure results against real visibility, not the mere presence of the file.
Related questions
Updated