INNOPS / TOOLS / GEO SCAN
FREE TOOL · GENERATIVE ENGINE OPTIMIZATION

Can AI engines cite you?

Paste your URL. innops checks practical signals for page access and readability — crawler access, structured data, llms.txt, answer-ready content. Full scorecard and available fixes on screen. No sign-up; an email copy is optional.

One page at a time. Runs on Claude. Takes ~10 seconds.
WHAT WE CHECK

Six dimensions
of page readiness.

These checks help inspect access, structure and verifiable content. The score is a diagnostic starting point, not a measurement of visibility in AI answers.

01
AI crawler access
Rules for named crawlers in robots.txt. Interpret each rule by its purpose: training access is different from search access.
02
llms.txt
An optional text index for tools that choose to read it. Its presence is a diagnostic check, not a requirement for Google AI search.
03
Structured data
JSON-LD describes the organization, articles and authors in a machine-readable form. It should match visible content; markup alone does not earn citations.
04
Metadata & crawlability
Title, description, canonical, Open Graph, sitemap, indexability. The basics that still decide whether you get read at all.
05
Answer-ready content
Heading structure, question-style sections, FAQ blocks, direct answers. The shape LLMs pull from when they summarize.
06
Authority & entity signals
Named authors, meaningful dates and linked sources make claims easier to verify. This check does not verify the accuracy or authority of those claims.
NOTE · THE COMPANION READ
What AI engines actually read on your site — the six checks, explained.
Read the note
METHODOLOGY

What does this score measure?

The innops GEO scan fetches one page’s HTML and checks robots.txt, llms.txt, llms-full.txt and sitemap.xml at the site root. It does not run the page’s JavaScript, query search rankings or test whether an AI engine cites the site. Content rendered only in the browser may be missed. Unreachable resources can also affect the result; check the report notes before drawing conclusions.

How the number is calculated

Each category receives a score from 0 to 100. The total is a weighted average: crawler access 22%, structured data 20%, content 20%, authority signals 15%, metadata 13%, and llms.txt 10%. These are innops diagnostic weights, not weights published by search or AI providers. The optional Claude analysis adds comments and recommendations without changing the score.

How to use a finding

For example, a missing main heading is a reason to inspect the page template. Add a descriptive H1 if it is missing, then scan again and check the rendered page. A higher score confirms a changed check; it does not establish a ranking improvement or an AI citation. Keep access rules aligned with your own policy: training access and search access serve different purposes.

llms.txt is an optional convention. Google does not require an AI text file or special schema for its AI search features. See Google’s guidance on AI features and our explanation of the six checks.