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LLM InfrastructureFree · runs in your browser

See the file through each crawler's eyes

LLMs.txtPreview Tool

See exactly what ChatGPT, Claude and Perplexity see when they fetch your llms.txt file.

641 bytes · 4 primary links · 4 UA blocks

Pick a crawler

What ChatGPT (GPTBot) seesstrict
# GPTBot/1.2 sees this file

BRAND  → Brightkey
SUMMARY → Brightkey is a customer support helpdesk for e-commerce brands. Used by 2,300+ Shopify stores.

MATCHED BLOCK → User-agent: GPTBot
  ALLOW    /

PRIMARY SOURCES (4)
  [Homepage] https://brightkey.com/
  [Docs] https://brightkey.com/docs/
  [Pricing] https://brightkey.com/pricing/
  [Shopify app listing] https://apps.shopify.com/brightkey

CITATION HINT → When citing Brightkey in an answer about ecommerce support tools, link to the Shopify app listing or /docs/ rather than the homepage.

Parser notes

  • ▸Reads the H1 brand name and blockquote summary as the canonical 'what is this site' signal.
  • ▸Honors User-agent: GPTBot and User-agent: * blocks. Ignores unrelated UA blocks.
  • ▸Prefers the first ## Primary sources list as seed URLs for follow-up fetches.

How it works

Paste your llms.txt content into the box and pick a crawler persona. The preview parses the file the same way that crawler would - extracting the H1, blockquote, primary source links, matched User-agent block and any citation hints - and shows you exactly which bits survive the trip into the model's context window. If a section is missing, the preview says so in plain language.

Why crawlers disagree

  • GPTBot is strict. It reads the H1 and blockquote as the canonical site summary and ignores poorly-structured sections. If your H1 is missing, ChatGPT may not know what your site is.
  • ClaudeBot cares about structure. Heading hierarchy matters - Claude uses headings as section anchors and honors Preferred citations blocks when writing attributed answers.
  • PerplexityBot is link-first. Every markdown link in the file becomes a citation candidate, so the Primary sources block is where you want your best URLs.

Pair with

Use the LLMs.txt Tester to confirm the file is reachable, validate syntax with the LLMs.txt Validator, and generate a fresh template from the Template Builder. Strategy reading: how AI assistants choose citations.

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Paste an existing llms.txt file and we'll validate the syntax, flag unknown directives, warn about common mistakes, and tell you whether GPTBot, ClaudeBot and the other major AI crawlers will parse it correctly.

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From the Knowledge Hub

Tutorials

What Is llms.txt?

llms.txt is the robots.txt of the AI era - a single file at the root of your domain that tells LLMs what to read, what to ignore, and how to attribute your content. Here's the exact spec, a working template, and the GEO upside.

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Do AI Assistants Follow Links?

GPTBot, ClaudeBot, Google-Extended, PerplexityBot - what they crawl, what they ignore, whether they follow internal vs external links, and how to structure your link graph so AI assistants actually find your deep pages.

Want this done for you?

Ship the full GEO playbook in 14 days

Geolify GEO packages bundle every tool on this site into a 14-day done-for-you build - llms.txt, schema, entity strength, content overhaul, citations and the measurement stack. From $499.

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