Crawl and index access
25 ptsHTTP response, robots rules, AI crawler controls, noindex, canonical, sitemap discovery, and server-rendered content.
Enter a public URL. CiteCheckup checks crawler access, structure, direct answers, sources, and publisher details, then shows what to fix first.
This audit uses public page signals only. It does not query live AI answers, monitor citations, or predict citation probability.
How it works
Use any public HTTP or HTTPS URL. You can optionally specify the brand or topic.
The audit reads crawler rules, metadata, HTML structure, answers, links, authorship, and dates.
Each issue includes the value we found and a specific change to make. Missing data is marked as unknown.
Sample report
This static preview shows the main sections of a completed check. It is not a live audit and not a scan of the example.com domain.
View the full sample reportPage score
72/ 100
Evidence coverage
92%
The page is accessible, but its opening answer and publisher details need work.
What the check found
Canonical URLPass
Self-referencing canonical observed in page metadata.
Direct answerWarn
The page has useful detail, but the opening answer is not explicit.
Author and publisherFail
No clear public author or publisher field was observed.
Every check uses information available on the public page. If we cannot confirm something, the report says so instead of counting it as a failure.
HTTP response, robots rules, AI crawler controls, noindex, canonical, sitemap discovery, and server-rendered content.
Title, description, language, heading hierarchy, structured data, lists, tables, FAQ, author, and dates.
Direct answers, topic coverage, questions, facts, sources, comparisons, steps, summaries, and definitions.
Brand consistency, entity schema, responsibility, freshness, and about or contact paths.
Use a smaller tool when you already know which technical file or markup needs attention.
Fetch or paste robots.txt, test one path and user-agent, and see the matched rule.
Check robots.txtParse JSON-LD, check its types and field values, and keep Schema.org validation separate from Google's rich-result rules.
Test structured dataGenerate or validate a readable llms.txt file with sections and links. It is a community proposal, not a ranking switch.
Generate llms.txtA crawler can fetch a page that never states its answer plainly. Put the answer before the background.
A broad Disallow rule can hide useful content. Test the exact path and user-agent, not just the file syntax.
Valid JSON is not enough. The type, required fields, and visible content still need to agree.
Make the publisher, author, update date, and contact or about page easy to find.
A practical framework for GEO, LLM SEO, and AI search optimization.
What you can improve on a page, including a separate Google AI Overviews section.
How to choose between a page audit, AI search tracking, and a focused technical check.
No. It checks the public page itself. It does not query ChatGPT, Gemini, Perplexity, or Google AI Overviews.
It checks access, metadata, HTML structure, answers, crawler rules, links, brand naming, authorship, and dates on the public page.
No signup is required. Checks are processed for the request, and the browser can retain up to 10 sanitized reports for your convenience.
No. A high score means more of the published page signals were observed and satisfied. It cannot predict a provider's private choice.
Start with a page that answers an important customer question, such as a product, pricing, comparison, documentation, or policy page.
Paste a public URL. You will get the issues, the values we found, and the fixes to make.
Check a URL