Clarify the canonical entity
State the brand name, website, category, audience and short definition so AI systems have one clean source of truth.
Free GEO tool
Generate llms.txt from your website.
Enter a domain, let the free crawler read public website signals, then edit and download a clean AI-readable context file.
No signup previewBuyer prompt workflowUpgrade path to full scan
Start with one website URL
One website, first llms.txt draft
We fetch the homepage and sitemap, then prefill the llms.txt draft without paid AI calls.
Brand: HubSpot
Category: CRM software, marketing automation software, sales software
Citation pages: 4
Generated file
llms.txt
# HubSpot - AI Search Context # Canonical URL: https://www.hubspot.com # Last updated: 2026-06-04 ## One-Sentence Definition HubSpot is a customer platform that helps teams manage marketing, sales, service, content and customer operations. ## Canonical Entity - Name: HubSpot - Entity type: SoftwareApplication / Brand - Category: CRM software, marketing automation software, sales software - Website: https://www.hubspot.com - Contact: https://www.hubspot.com/company/contact ## Who Uses It Marketing teams, sales teams, customer success teams, agencies and growing B2B companies. ## Core Official Pages - https://www.hubspot.com/products/crm - https://www.hubspot.com/products/marketing - https://www.hubspot.com/pricing - https://www.hubspot.com/case-studies ## AI Search Topics - HubSpot products and services - HubSpot pricing and plans - HubSpot documentation - help center and support - HubSpot customer stories and reviews ## Technical Notes for AI Crawlers - Important pages should be crawlable without login - Key product claims should appear in initial HTML - Keep schema, sitemap, canonical URLs and robots.txt aligned
AI crawler signal checklist
Canonical entity
Citation pages
Topic hints
What llms.txt is for
llms.txt gives AI crawlers a concise map of your official brand context.
An llms.txt file is a lightweight text file placed on your website to summarize the canonical brand, best source pages, topics and crawler notes. It is not a magic ranking factor, but it is a low-cost way to make the right context easier for AI systems and RAG pipelines to find.
Generate llms.txt for freeWhy generate an llms.txt file
Point to citation-ready pages
List product, pricing, docs, case studies and comparison pages that should be considered official evidence.
Guide technical review
Document crawlability notes such as public access, initial HTML content, schema alignment and sitemap consistency.
How to publish it
Generate the file
Fill in the brand, category, audience and source pages, then copy or download the generated llms.txt content.
Place it at the domain root
Publish the file at /llms.txt, keep the URLs absolute, and make sure the listed pages are crawlable without login.
Keep it aligned
Update llms.txt when pricing, docs, product pages or case studies change, then validate the site with a readiness check or full scan.
Common questions
Will llms.txt guarantee AI citations?
No. It improves clarity and crawlable context, but citations still depend on search indexes, authority, content quality and the specific buyer question.
What should I include first?
Start with the homepage, product page, pricing page, docs or help center, case studies, about page and the strongest comparison or use-case pages.