Features
AEO Grader:
Is Your Site Ready for AI Search?
Enter your URL and get a 0-100 score for how well ChatGPT, Claude, Perplexity and other LLM crawlers can reach, read and quote your site. 43 rule-based checks, instant results, no signup.
What the LLM SEO checker tests
The scan runs 43 checks in eight categories. Four of them carry most of the weight. Experimental checks for agent and commerce protocols (MCP, x402, Web Bot Auth) only count in your favor when detected.
Crawlability and bot access
Whether AI crawlers such as GPTBot, ClaudeBot and PerplexityBot are allowed in robots.txt, and whether the sitemap, HTTPS and response time let them fetch your pages at all.
AI discoverability
llms.txt, llms-full.txt, RSS feeds and canonical URLs, the files and signals that point a model to the pages worth reading.
Content structure
Titles, meta descriptions, heading hierarchy, semantic HTML and Open Graph tags, which tell a parser what each page is about.
Answerability and structured data
JSON-LD, FAQ content and the share of visible text against markup, which decide whether a page is easy to quote in an answer.
Why an LLM SEO check comes before any tracking
You cannot measure how often AI mentions your brand until AI can read your site. That is a more basic problem, and most sites have never tested it.
If GPTBot, ClaudeBot or PerplexityBot cannot fetch your pages, a model has nothing to quote. Good positioning does not help when the crawler gets a block or an error.
Most sites were built for browsers and Googlebot. AI crawlers and conventions such as llms.txt and structured data are newer, and few sites have been checked against them.
One missing JSON-LD block or one broad robots.txt rule can keep a whole site out of AI answers, and there is no Search Console report that warns you.
A clean scan is a prerequisite, not a promise. It makes a mention possible. AskAiRank's visibility tracker is the separate product that shows whether ChatGPT, Perplexity, Gemini and Claude actually name you.
How the free scan works
Four steps, no signup.
Enter your URL
The scan starts as soon as you submit a domain. No email, no account.
Rule-based checks run
No language model is used in the scan itself. Each check is a plain test, for example whether robots.txt blocks GPTBot or whether a JSON-LD block exists, so results are instant and repeatable.
Get a scored report
You see an overall score, a breakdown by category and a specific fix for each warning, with copy-ready instructions for a developer.
Track the outcome
A clean scan makes your brand eligible to be mentioned. AskAiRank then tracks whether ChatGPT, Perplexity, Gemini and Claude do mention it.
FAQ
Frequently asked questions
How the free LLM SEO checker works, what it tests and how it differs from tracking.
Is the LLM SEO checker free?
Yes. No signup, no email, no card. Enter a URL and get the full report right away. The limit is 5 scans per hour per visitor.
Does the checker use an LLM to judge my site?
No. Every check is a deterministic rule, such as whether robots.txt blocks GPTBot, whether a title tag has a sensible length or whether JSON-LD is present. That makes the result instant and identical on every run, which an LLM-based judgment cannot promise.
What does a real result look like?
We ran the scanner on askairank.com on 15 October 2026 and got 89 out of 100 ("good"). Crawlability and bot access control scored 100. Discoverability scored 75: llms.txt and RSS were found, while llms-full.txt, a DNS _aid record and discovery Link headers were missing. Content structure scored 90 (title length and H1 uniqueness flagged), answerability 88 (text-to-markup ratio flagged) and content accessibility 50 (no markdown version of pages). Our own site still had fixes to make.
How is the checker different from AskAiRank's visibility tracking?
The checker tests whether AI crawlers can technically read your site. Visibility tracking measures whether ChatGPT, Perplexity, Gemini and Claude name your brand when buyers ask real questions. One measures readiness, the other the outcome.
What are the experimental checks (MCP, x402, Web Bot Auth)?
They cover agent and machine-to-machine protocols that few sites use today. They are in the report for completeness and can only raise your score, never lower it.
What should I do with a low score?
Start with the failing checks at the top of the list. Each one has a concrete recommendation, and the "Copy fix instructions" button turns the list into one prioritized brief for a developer or a coding assistant.