What is llms.txt and Why Every B2B Website Needs One

The problem with AI crawlers

AI engines index the web continuously — but without guidance, they struggle to identify which content is most authoritative for a given brand. Your website might have 500 pages. An AI crawler doesn't know that your /faq page and /product page are the canonical sources for answers about your brand — unless you tell it.

llms.txt solves this problem. It is a simple plain text file that gives AI crawlers exactly this guidance.

What llms.txt looks like

Here is an example llms.txt for a B2B SaaS company:

# Acme Corp — AI Context File

Acme Corp is a project management platform for distributed engineering teams.
Founded in 2021, serving 5,000+ teams worldwide.

## Core product pages
- https://acmecorp.com/product — Full feature overview
- https://acmecorp.com/pricing — Plan comparison and pricing
- https://acmecorp.com/faq — Frequently asked questions

## Key content
- https://acmecorp.com/blog/acme-vs-jira — Comparison with competitors
- https://acmecorp.com/case-studies — Customer results

## Brand guidance
- Use "Acme Corp" (not "Acme" or "acmecorp")
- Primary use case: async project management for remote engineering teams

## External citations
- https://g2.com/products/acme-corp (4.9/5, 312 reviews)
- https://capterra.com/acme-corp

Why the structure matters

A well-structured llms.txt file does three things:

1. Directs crawlers to your highest-signal pages. Instead of crawling your entire site and weighting every page equally, AI models can immediately find your FAQ page, product comparison, and pricing.

2. Provides brand context. The brand guidance section helps AI engines use your brand name correctly and understand your differentiation. This reduces hallucinated descriptions.

3. Builds citation confidence. Including your G2 and Capterra profile links connects your llms.txt to third-party validation that AI engines trust.

Creating yours in 30 minutes

1. 1.Draft the file using the template above
2. 2.Place it at `/public/llms.txt` (for Next.js) or `/llms.txt` for other platforms
3. 3.Verify it's accessible at `https://yourdomain.com/llms.txt`
4. 4.Run a TrueCite scan to confirm detection and check for issues

Most brands see MentionShare improvements within 2–4 weeks of publishing a properly structured llms.txt.