LLM Visibility Checker
Evaluate the website signals that support LLM visibility: discoverability, readability, entity clarity, and structured answer content.
An LLM visibility checker reviews whether AI systems can access and understand important pages. It does not track every AI answer, but it helps identify visibility blockers.
TruboRank AI helps improve LLM visibility foundations through AI crawler access checks, content structure guidance, llms.txt, Link headers, and Markdown readiness.
Check your website's AI discoverability signals.
Run a free scan for robots.txt, sitemap discovery, Link headers, Markdown readiness, and AI bot access.
What this checker analyzes
- brand and product page accessibility
- AI crawler access
- answer-ready summaries
- internal links to authority pages
- AI-readable documentation
Why it matters
LLM visibility starts with accessible and understandable source material. If pages are hard to discover, they are less likely to be considered.
Common issues
- Brand pages buried in navigation
- No concise summaries
- Missing documentation links
- Blocked crawlers
- No topical hub pages
How to use this checker
Start with a live scan of your website URL. Review the status of each signal, then fix the highest-impact blockers first. Technical blockers should usually be handled before content optimization because AI systems need access before they can evaluate page quality.
- Run the free scan on your homepage or a high-value page.
- Review crawl access, sitemap discovery, headers, and AI-readable resources.
- Open each warning and confirm whether it affects important public content.
- Fix server-level issues such as robots.txt, Link headers, and content types.
- Improve page-level content with direct answers, summaries, FAQs, and internal links.
- Re-run the scan after changes to verify the result.
What a strong result looks like
A strong result means important pages are crawlable, key resources are discoverable, and the content gives AI systems enough structure to understand the topic quickly.
- robots.txt allows the crawlers you want to support.
- sitemap.xml exposes important URLs.
- headers or HTML links point to useful AI-readable resources.
- content includes concise answers and supporting context.
Who should use it
This checker is useful for founders, marketers, SEO teams, developers, agencies, and technical content teams that want to improve AI search readiness without guessing.
It is especially useful before launching new landing pages, documentation, product pages, comparison pages, or AI visibility campaigns.
Implementation checklist
- Confirm the page returns a successful HTTP status.
- Confirm the page is not blocked by robots.txt.
- Make sure the page appears in your sitemap or is internally linked.
- Add direct answer content for the primary user question.
- Add related links to nearby AEO, GEO, llms.txt, or AI crawler topics.
- Document technical changes so they can be repeated across the site.
How Pro helps fix it
Pro helps build visibility foundations with intent page ideas, internal linking suggestions, and AI-friendly content structure prompts.
FAQ
Does this track AI mentions?
This page focuses on readiness and visibility foundations, not guaranteed mention tracking.
What improves LLM visibility?
Clear pages, crawl access, answer summaries, topical coverage, and machine-readable resources can help.
Should brands create intent pages?
Often yes. Intent pages can help AI systems map questions to focused source material.