Clarify the canonical entity
State the brand name, website, category, audience and short definition so AI systems have one clean source of truth.
Enter a domain, let the free crawler read public website signals, then edit and download a clean AI-readable context file.
Start with one website URL
We fetch the homepage and sitemap, then prefill the llms.txt draft with public website signals.
Generated file
# Pipedrive > Pipedrive is a sales CRM that helps teams manage leads, pipelines, follow-up automation and revenue forecasting. Canonical URL: https://www.pipedrive.com Last updated: 2026-06-24 **Canonical entity** - Name: Pipedrive - Entity type: SoftwareApplication / Brand - Category: sales CRM software, pipeline management software, customer relationship management software - Website: https://www.pipedrive.com - Contact: https://www.pipedrive.com/en/contact - Audience: Small and mid-sized sales teams, B2B companies, agencies and growing businesses that need a clear sales process. **AI search topics** - Pipedrive products and features - Pipedrive sales pipeline management - Pipedrive customer stories and reviews - Pipedrive contact and support **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 ## Core Official Sources - [Products](https://www.pipedrive.com/en/products): Official source page that can support AI answers. - [Features](https://www.pipedrive.com/en/features): Official source page that can support AI answers. - [Case Studies](https://www.pipedrive.com/en/case-studies): Official source page that can support AI answers. - [Contact](https://www.pipedrive.com/en/contact): Official source page that can support AI answers.
What llms.txt is for
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 lightweight way to make the right context easier for AI systems and RAG pipelines to find.
Generate llms.txt for freeState the brand name, website, category, audience and short definition so AI systems have one clean source of truth.
List product, pricing, docs, case studies and comparison pages that should be considered official evidence.
Document crawlability notes such as public access, initial HTML content, schema alignment and sitemap consistency.
Fill in the brand, category, audience and source pages, then copy or download the generated llms.txt content.
Publish the file at /llms.txt, keep the URLs absolute, and make sure the listed pages are crawlable without login.
Update llms.txt when pricing, docs, product pages or case studies change, then validate the site with a readiness check or full scan.
No. It improves clarity and crawlable context, but citations still depend on search indexes, authority, content quality and the specific buyer question.
Start with the homepage, product page, pricing page, docs or help center, case studies, about page and the strongest comparison or use-case pages.
Related GEO workflow