llms.txt skill
The GEO playbook Okara’s GEO Agent uses to publish and maintain an llms.txt file — the machine-readable index that tells AI crawlers and assistants which of your pages matter and what they mean.
Download the methodology, see how the agent builds your llms.txt, or run it live inside the GEO Agent.
- Category
- GEO
- Agent
- GEO Agent
- Format
- llms-txt.md
- Price
- Free to download
The skill file
--- name: llms-txt description: Create and maintain an llms.txt file so AI crawlers and assistants can find, understand, and cite your most important content. owner: Okara GEO Agent --- # llms.txt A curated, machine-readable index at the root of your site that tells AI crawlers and assistants which pages matter and what they mean — so your best content is the content models read, trust, and cite.
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About this skill
What is the llms.txt?
The llms.txt skill is Okara’s Generative Engine Optimization (GEO) methodology for creating and maintaining an llms.txt file: a curated, machine-readable index at the root of your site that points AI crawlers and assistants at your most important, canonical content — instead of leaving them to guess through navigation, scripts, and boilerplate.
It’s written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Read it to understand how to inventory, prioritize, describe, and structure your key pages into a file models can parse, adapt it for your own team, or let the GEO Agent generate and maintain it against your live site.
Downloading the playbook is free with an Okara account. Generating your llms.txt, keeping it in sync as your content changes, and pairing it with the rest of your AI-visibility work is part of the GEO Agent.
This matters even before content quality enters the picture: Google’s AI Overviews already appear on roughly half of all searches, up sharply year over year, and when one shows, the search ends without a click to any website in about 83% of cases versus roughly 60% when it doesn’t (Search Engine Land, 2026). None of that citation opportunity is reachable if the crawlers behind it can’t find your canonical pages in the first place — which is the specific gap an llms.txt closes.
Example
See it in action
You ask: “AI assistants keep summarizing our site from random old blog posts instead of our actual docs and product pages. Can an llms.txt fix that?”
Agent does: Your site has 210 crawlable URLs but only about 30 answer real buyer questions — the rest is tag archives, thin posts, and duplicates. I built an llms.txt at your domain root: an H1 with your brand, a one-line summary, and grouped sections for Docs, Guides, Product, and Pricing, each link described in plain language and pointing at the canonical URL. Low-value pages are excluded, and I’ll re-generate it whenever pages are added or moved so the index never drifts.
Comparison
The skill vs. the alternatives
| Do it yourself | Hire a freelancer or agency | llms.txt skill (free) | GEO Agent | |
|---|---|---|---|---|
| Cost | Your own time | $500–$5,000+ per project | Free with an Okara account | Included in the AI CMO plan |
| Time to first result | Hours to days, per attempt | Days to weeks, plus revision rounds | Minutes — download and follow it | Same day, runs automatically |
| Consistency over time | Depends on remembering to do it | Only as long as the retainer lasts | One-time; you re-run it yourself | Continuous, on a schedule |
| Who does the work | You, from scratch each time | Someone who has to learn your business first | You (or your agent), following the exact steps | Okara's GEO Agent, end to end |
How it works
From input to output
- 1
You provide your site
Paste your domain or sitemap and flag the content you most want AI systems to use.
- 2
Okara maps your key content
The GEO Agent crawls your pages and separates high-signal, canonical content from thin or duplicate URLs.
- 3
It generates a structured llms.txt
Prioritized links are grouped into clear sections with a plain-language description for each, ready to serve at your domain root.
- 4
It keeps the file in sync
As pages are added, moved, or retired, the agent re-generates the file so your AI-facing index never goes stale.
What's included
Everything it covers
llms.txt generation
Produces a complete, spec-aligned llms.txt (and optional llms-full.txt) ready to serve at your root.
Content prioritization
Selects the pages that answer real questions and drops thin, duplicate, or low-value URLs.
Canonical, clean links
Uses absolute canonical URLs that resolve directly — no redirects, no login walls.
Crawler discoverability
Places and structures the file so AI crawlers and assistants can find and parse it reliably.
Plain-language descriptions
Writes a one-line description per link so models understand intent, not just the title.
Ongoing maintenance
Re-generates the file on a schedule so it stays accurate as your content changes.
Use cases
When to reach for it
- Point AI assistants at your real docs and product pages instead of stray old posts.
- Give AI crawlers a clean, canonical map of your most important content.
- Stop thin, duplicate, or archive URLs from diluting how models read your site.
- Publish a stable, machine-readable content index that stays current over time.
- Pair your llms.txt with broader GEO work to grow how often you’re cited.
Frequently Asked Questions
Related skills
Pair it with these skills
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The GEO playbook Okara’s GEO Agent uses to get your brand cited in AI answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
--- name: ai-overviews description: Optimize a page to get cited in AI answers — Google AI Overviews, ChatGPT, Perplexity, and Gemini — not just ranked in blue links. owner: Okara GEO Agent --- # AI Overviews Generative Engine Optimization (GEO): make your brand the source AI assistants cite when they answer questions in your space, not just a link on page one.
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