What Is LLMs.txt, and Should Your Business Use One?

You probably know about robots.txt, the file that tells crawlers which URLs they may fetch. LLMs.txt is different: it is an emerging Markdown proposal for giving AI tools and agents a concise guide to the most important information on your site.

As AI systems increasingly pull information from websites to answer questions, the practical problem is context. A site may have dozens of pages, navigation, scripts, forms, and marketing copy. LLMs.txt gives you a short, curated summary and links to the pages that matter most. It is useful, but it is not a replacement for crawlable pages, schema, sitemap.xml, or accurate third-party listings.

For the practical AI Search baseline, read How Local Businesses Can Show Up in Google AI Search. For the machine-readable page layer, read What Is JSON-LD?.

What it does

An LLMs.txt file sits at the root of your website (yourbusiness.com/llms.txt) and follows a proposed plain-Markdown structure. The file can contain:

• What your business is and does
• Which canonical pages support the summary
• What information is accurate and current
• Which source pages cover each topic
• Contact information and service areas

Why this matters for GEO

The proposal was created to give tools a concise source map when they choose to fetch and process the file. It does not establish that major local-search or recommendation products retrieve the file, or that publishing one improves ranking, citation, or recommendation outcomes.

What goes in an LLMs.txt file

The format is still evolving, but typical contents include:

Business identity. Your official name, what you do, your primary category.

Service information. What services you offer, what service areas you cover, what makes you different.

Reputation summary. Your aggregate ratings, review counts, notable achievements.

Contact information. Phone, email, address, hours.

Canonical descriptions. A concise summary supported by the linked website pages.

Maintenance note. A visible last-updated date for readers. It does not tell an AI crawler when to refresh.

Example structure

# Smith Plumbing

> Family-owned plumbing company serving Austin, Texas with emergency repairs, water heater service, drain cleaning, and remodel plumbing.

Canonical facts:
- Official name: Smith Plumbing
- Category: Plumbing services
- Founded: 2005
- Service area: Austin, TX and surrounding areas within 30 miles
- Phone: 512-555-0123
- Website: https://smithplumbing.com

## Core Pages
- Homepage: Services, service area, reviews, and booking.
- Emergency Plumbing: 24/7 emergency service details.
- Water Heaters: Installation and repair details.

## Services
- Emergency plumbing repairs (24/7)
- Water heater installation and repair
- Drain cleaning
- Bathroom and kitchen remodeling

## Optional
- Privacy Policy: Privacy details.

Adoption status

LLMs.txt is a newer proposal, not a universally supported web standard. The project lists integrations and examples, but broad product adoption and local-search impact have not been established.

The file can still serve as a team-maintained source map when it is generated from canonical pages and kept current. That internal use is separate from any claim about AI adoption.

Further Reading

• The llms.txt Specification. Original proposal and format documentation for llms.txt
• Meet llms.txt: A Proposed Standard for AI Website Content. Search Engine Land's coverage of the emerging standard
• What Is llms.txt? Breaking Down the Skepticism. Mintlify's analysis of the llms.txt standard
• What Is LLMs.txt & Should You Use It?. Semrush's practical guide to implementation

Amadeus Peterson is the CTO of Cheers, the local search platform for service businesses.