# Crawlability Checklist for Llama

Canonical URL: https://trakkr.ai/article/crawlability-checklist-for-llama
Published: 2025-12-16
Last updated: 2026-03-13
Author: Mack Grenfell

Verify your site is fully crawlable by Llama.

Llama can only reference what it can crawl. Unlike ChatGPT's static training data, Meta's Llama models can access live web content through integrations - but only if your site follows proper crawling protocols. A single robots.txt mistake or server timeout can make your brand invisible to Llama's responses.

## The Problem

Most sites have crawling issues they don't know about. Your pages might load fine for humans but fail for AI crawlers due to JavaScript dependencies, authentication walls, or server configurations that block automated access.

## The Solution

Run through this checklist to verify Llama can access and understand your content. Each step catches common issues that prevent AI systems from crawling your site properly. Fix these, and you'll improve visibility across all AI platforms that access web data.

## Check your robots.txt file

Visit yoursite.com/robots.txt and verify it doesn't block legitimate crawlers. Look for 'Disallow: /' rules that might accidentally block AI systems. Meta's crawlers typically identify as FacebookBot or generic user agents. If you're blocking all bots, you're blocking Llama.

## Test server response times

Use tools like GTmetrix or PageSpeed Insights to verify pages load under 3 seconds. AI crawlers have shorter timeout limits than human browsers. Pages that eventually load for users might timeout for crawlers, making your content invisible to Llama.

## Verify content renders without JavaScript

Turn off JavaScript in your browser and reload key pages. If critical content disappears, AI crawlers can't see it. Llama needs server-side rendered content or at minimum, content that loads before JavaScript executes.

## Check for authentication barriers

Ensure important content isn't hidden behind login walls or paywalls. AI crawlers can't authenticate like users. If your key information requires login, consider creating crawler-accessible versions or summaries on public pages.

## Test mobile crawlability

Use Google's Mobile-Friendly Test tool to verify pages work on mobile user agents. Many AI systems crawl with mobile user agents by default. Sites that break on mobile might be invisible to Llama even if desktop works perfectly.

## Validate your XML sitemap

Submit your sitemap to Google Search Console and fix any errors. While Llama doesn't use GSC directly, a clean sitemap indicates good crawling hygiene. Include your most important pages and update it regularly with new content.

## Monitor crawl errors weekly

Set up Google Search Console to catch crawling issues early. Server errors, DNS problems, and redirect chains that block Google will also block Llama. Fix 4xx and 5xx errors promptly.

## Frequently Asked Questions

### How often does Llama crawl websites?

Llama doesn't crawl directly - it accesses web content through integrations and APIs when users make requests. The frequency depends on the specific implementation, but having consistently crawlable content ensures availability when Llama needs it.

### What user agent does Llama use for crawling?

Meta's systems typically use FacebookBot for crawling, but integrated services may use different agents. The key is ensuring your robots.txt doesn't block legitimate crawlers while allowing standard user agents.

### Can Llama access content behind paywalls?

No, AI systems can't authenticate or pay for content access. Important information behind login walls won't be available to Llama. Consider creating public summaries or abstracts of key content.

### Do CDNs affect Llama's crawling ability?

CDNs generally improve crawlability by reducing response times and improving availability. However, misconfigured CDNs can block certain user agents. Ensure your CDN settings allow legitimate crawlers.

### Should I create a special sitemap for AI crawlers?

Your standard XML sitemap is sufficient. Focus on keeping it clean, current, and comprehensive rather than creating AI-specific versions. Good crawling practices benefit all automated systems.