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LLM SEO and GEO site analyzer

Analyze how AI search engines and LLMs read your site. Audit llms.txt format, AI crawler rules, JSON-LD, and server-rendered HTML - with critical vs recommended checks and per-bot robots detail.

How it works

Three steps to your result.

  1. Enter a URL

    Use your homepage, /pricing, or /faq. We fetch server HTML (no JavaScript), plus llms.txt, robots.txt, and optional llm.txt / ai.txt.

  2. Review layered checks

    Critical issues (missing llms.txt, site-wide AI blocks) vs recommended improvements (markdown links, FAQ schema, headings).

  3. Test other pages

    Use the suggested links to run the same audit on pricing or FAQ - schema expectations differ by page type.

Frequently asked questions

Quick answers about this tool.

What is an LLM SEO checker?
An LLM SEO checker audits how AI search engines and LLMs read your public site - llms.txt, AI crawler rules, JSON-LD, and server HTML. This analyzer checks technical signals that affect whether ChatGPT, Perplexity, and Google AI Overview can discover and cite your content.
Can I use this as an llms.txt checker?
Yes. Every scan fetches /llms.txt and checks the H1 title, the > summary, markdown links with full URLs, and ## link sections. The llms.txt results appear in their own section of the report.
What is GEO?
Generative Engine Optimization - making content easier for AI systems to discover and cite. This tool checks technical signals (llms.txt format, robots, JSON-LD, HTML), not ranking guarantees.
Why does my homepage show zero H2 headings?
We only parse initial HTML without running JavaScript. Sections that load on scroll may omit H2s in this audit even though FAQPage schema or the live page includes them.
Why do some AI bots list dashboard disallows?
Blocking /dashboard, /admin, or /api is intentional - not a GEO problem. The analyzer treats app-only disallows as allowed and only warns if public paths like /pricing or /blog are blocked.
What does Ready vs Good vs Needs work mean?
Ready: critical checks passed and no recommended warnings. Good: basics are fine but some recommended improvements remain. Needs work: fix critical items first (missing llms.txt, site-wide AI block, or no JSON-LD).
Do you call OpenAI or Google?
No. Everything runs on Needle’s servers from public HTTP responses.

Good to know

Context and tips to get more out of this tool.

What is an LLM SEO checker?

An LLM SEO checker audits whether AI assistants and answer engines can discover, parse, and cite your site - not just Google. Classic SEO audits focus on crawlability for search bots; LLM SEO (often grouped with GEO) adds llms.txt, AI crawler rules in robots.txt, structured data, and server-rendered content that models can quote without running JavaScript.

Why founders run GEO audits now

If your llms.txt is missing, your JSON-LD is thin, or robots.txt blocks useful bots, models have less to cite when someone asks about your category. Run this LLM SEO checker before you pay for a full SEO suite or rewrite your marketing site.

What this LLM SEO checker audits

We fetch your homepage server-side and score llms.txt presence and format, AI crawler rules in robots.txt, structured data (JSON-LD), semantic HTML landmarks, and whether key content is visible without JavaScript. Critical issues block trust; recommended fixes improve how machines summarize you.

llms.txt checker: what we test in the file

The llms.txt check is part of every scan. We fetch /llms.txt and check that the first line is a markdown H1 with your site name, that a one-paragraph > summary follows it, that links use [title](url) format with full https:// URLs, and that links are grouped under ## sections such as Docs or Product. An empty file, a missing H1 title, or a file with no links fails. A missing summary, relative links, or no sections come back as recommended fixes. We also report whether the optional llm.txt and ai.txt files exist, but those are not required.

How to read your results

Fix critical items first: a missing or unusable llms.txt, a site-wide block on AI crawlers, or no JSON-LD in the server HTML. Recommended items come next, such as a missing llms.txt summary, relative links, or thin schema. Ready means every check passed, Good means the basics are in place with some improvements left, and Needs work means at least one critical check failed. Then run the same scan on /pricing and a docs or blog page, because what a page needs depends on its type.

How SaaS sites score (October 2026 benchmark)

We ran this LLM SEO check on 188 well-known SaaS homepages. 55% had a usable llms.txt, 26% shipped no JSON-LD in their server HTML, only 29% described their product with SoftwareApplication or Product schema, and just 3% passed every check. 91% blocked none of the 15 AI crawlers we test. If your scan shows a missing llms.txt or no structured data, you are in large company - and both are quick fixes.

Typical first fix after a scan

Issue:
No llms.txt at /llms.txt
Fix:
Publish a short llms.txt with product summary, canonical links, and attribution preferences - then re-run the analyzer.

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