Free LLM Visibility Checker
Check whether AI systems can access, read and understand your web page.
Enter any URL to test its AI crawler access, OpenAI citation readiness, server-side rendering, semantic HTML, schema, metadata, content density and JavaScript weight.
Free to use. No credit card required.
See what may be limiting your visibility in AI search
Your page cannot appear as a source in ChatGPT or another AI-generated answer if the system cannot access, retrieve or understand its content.
The EasilyGeo LLM visibility checker analyzes the technical and on-page signals that influence whether an AI system can use your page as a source. Instead of only counting brand mentions, it identifies page-level problems that may be preventing your content from being found, processed and cited.
Run the check to receive:
- A pass or fail result for every test
- Clear explanations of detected problems
- Recommended fixes for improving the page
- A practical view of how accessible and understandable your page is to AI systems
What does the LLM visibility checker test?
The report evaluates the page in the same order in which an AI retrieval system is likely to encounter it: access first, rendering second, comprehension third and citation-worthiness last.
AI crawler access
We review your robots.txt rules to determine whether important AI crawlers are allowed to access the page. A single restrictive rule can block an AI crawler from retrieving your content, so the report helps you identify these restrictions before you spend time rewriting a page that cannot be accessed.
OpenAI citation check
We run a practical named-query test to see whether OpenAI can find and cite your page. This is a retrieval test rather than a guarantee that the page will appear for every user or prompt. If the page does not surface, the report helps you investigate access restrictions, unclear page focus, weak internal linking or limited authority.
Server-side rendering
We check whether the page’s important text, headings and links are available in its initial HTML. If essential content only appears after JavaScript runs, some crawlers may receive an incomplete version of the page. Moving critical content into server-rendered or static HTML makes it easier for machines to process.
Semantic HTML structure
We evaluate whether the page uses a clear H1, logical H2 and H3 headings, lists, tables and meaningful page sections. Strong semantic structure helps search engines and AI systems identify the main topic, supporting information and individual passages that may answer a question.
Structured data and schema
The checker looks for structured data that helps describe the page and its entities. Depending on the page, this may include Organization, Product, Article, Service, SoftwareApplication or FAQ schema. Schema does not guarantee an AI citation, but valid structured data can reduce ambiguity about what the page represents.
Meta title and description
We analyze whether the title and meta description clearly communicate the page’s subject, search intent and brand, and whether either is missing, too thin to be useful, longer than search engines will render, or simply a repeat of the other. Your report highlights where these elements need improvement.
Content density
We check whether the page contains enough useful, factual information for an AI system to understand and potentially cite it. Pages with only a headline, a short marketing statement and several visual elements often provide little usable information. Definitions, features, specifications, examples, comparisons, FAQs and supporting evidence make a page more useful as a source.
JavaScript weight
We assess whether excessive JavaScript may be delaying or obscuring the page’s important content. The report helps identify pages where unused scripts, client-side rendering or unnecessary widgets may be making retrieval more difficult.
Understand your LLM visibility report
Your report groups issues by the part of the retrieval process they affect.
Step 1
Access issues
The highest-priority problems, because they may prevent an AI system from retrieving the page at all. Fix these before making extensive content changes.
- Restrictive robots.txt rules
- Failed page requests
- Important content missing from the initial HTML
- Excessive dependence on client-side rendering
Step 2
Comprehension issues
These problems make it harder for an AI system to determine what your page covers. Fixing them gives the page a clearer topic and structure.
- Missing or unclear headings
- Poor semantic HTML
- Missing or invalid schema
- Generic titles and descriptions
- Weak brand or entity signals
Step 3
Citation-readiness issues
The page may be accessible and understandable but does not contain enough useful information to become a strong source. Add factual depth only after confirming the page is accessible and easy to parse.
- Thin copy
- Unsupported marketing claims
- Few specific facts or examples
- Weak topical focus
- Missing comparisons, definitions or FAQs
How to use the LLM visibility checker
Enter a page URL
Paste the exact page you want to analyze. You can check a homepage, product page, service page, landing page, blog post or documentation page.
Run the visibility analysis
The checker reviews crawler permissions, retrieval, rendering, page structure, schema, metadata, content and JavaScript.
Review your results and detected issues
Open each result to understand what passed, what failed and why it matters for AI visibility.
Fix the highest-priority problems
Start with crawler access and rendering. Next, improve page structure and metadata. Finally, add the factual depth needed to make the page worth citing.
Run the check again
Recheck the URL after making changes to confirm that the page’s technical and content signals have improved.
LLM visibility checker versus a mention tracker
Not all LLM visibility checkers measure the same thing.
Many visibility checking tools run prompts across ChatGPT, Gemini, Claude or Perplexity and report whether a brand was mentioned. This is useful for measuring prompt-level share of voice, citations and competitor visibility.
EasilyGeo focuses on a different question:
Is your page technically and structurally prepared to be accessed, understood and cited by AI systems?
| Mention-tracking tools | EasilyGeo LLM visibility checker |
|---|---|
| Mention-tracking toolsMeasure whether a brand appears in selected prompts | EasilyGeo LLM visibility checkerTests whether a specific page can be accessed and understood |
| Mention-tracking toolsTrack mentions and citations over time | EasilyGeo LLM visibility checkerIdentifies technical and on-page visibility problems |
| Mention-tracking toolsCompare brands across selected AI platforms | EasilyGeo LLM visibility checkerEvaluates crawler access, rendering, structure and content |
| Mention-tracking toolsShow the outcome of an AI response | EasilyGeo LLM visibility checkerHelps diagnose why a page may not be retrieved or cited |
The two methods are complementary. A mention tracker shows what appeared in an answer. An LLM access checker helps identify page-level problems that may be contributing to weak visibility.
Why use an LLM access checker?
A page may rank on Google and still fail to appear in AI-generated answers. Traditional rankings do not tell you whether:
- AI crawlers are permitted to access the page
- The main content is visible without JavaScript
- OpenAI can retrieve the page for a relevant query
- The page has a clear semantic structure
- The entity is properly described
- The content contains enough factual information to cite
An LLM access checker helps you investigate these issues directly. It gives SEO, content and development teams a shared report instead of leaving them to guess whether weak AI visibility is a technical, structural or content problem.
Who should use this tool?
SEO teams
Audit important landing pages before building a larger generative engine optimization strategy.
Content marketers
Check whether articles and guides contain enough structure and factual depth to be useful in AI-generated answers.
SaaS and product teams
Evaluate product pages that rely heavily on interactive elements, animations or client-side rendering.
Developers
Identify crawler restrictions, rendering problems, excessive JavaScript and missing structured data.
Agencies
Create page-level AI visibility audits for clients and turn technical findings into prioritized recommendations.
What should you check first?
Start with pages that directly influence discovery or revenue:
- 1Your homepage
- 2Primary product or service pages
- 3High-traffic landing pages
- 4Comparison and alternative pages
- 5Important blog posts
- 6Pricing pages
- 7Documentation and help pages
Checking an entire domain at once can make prioritization difficult. Begin with five to ten important URLs, fix repeated template-level problems and then expand the audit to the rest of the website.
Fix issues in the right order
A long list of issues does not mean every one deserves equal attention.
Priority 1
Make the page accessible
Fix robots.txt restrictions, failed requests and rendering problems that may stop the page from being retrieved.
Priority 2
Make the page understandable
Improve headings, semantic HTML, schema, metadata and internal links so the subject and entity are clear.
Priority 3
Make the page worth citing
Add original facts, definitions, examples, comparisons, specifications, evidence and concise answers to relevant questions.
This order prevents you from investing in content improvements while a technical problem is still blocking access.
Frequently Asked Questions
Common questions about AI visibility, page-level access checks and what this report can and cannot tell you.
An LLM visibility checker evaluates how prepared a website or page is to appear in answers generated by large language models. Depending on the tool, it may measure brand mentions, citations, crawler access, page rendering, structured data or content quality.
EasilyGeo focuses on page-level access and citation readiness. It helps determine whether AI systems can reach, read and understand a specific URL.
Yes. You can run an AI visibility check without entering a credit card.
An LLM visibility checker is a broad category. Some tools monitor brand mentions across AI platforms, while others analyze whether pages are prepared for AI retrieval.
An LLM access checker focuses specifically on whether AI crawlers can reach and process a website. EasilyGeo combines access testing with rendering, structure, metadata, schema, content and OpenAI retrieval checks.
No. No visibility checking tool can guarantee that a page will be cited for a particular prompt.
AI-generated answers can vary by model, query wording, location, available sources and platform updates. A clean result indicates that common page-level barriers have been removed. It does not guarantee selection by an AI system.
No. A public page checker cannot reliably prove whether a specific page or brand was included in a model’s training data.
The report measures observable signals such as crawler permissions, retrieval, rendering and page content. It does not present training-data presence as a confirmed metric.
Google rankings and AI-generated citations are different outcomes. A page may rank in traditional search but still have restrictive crawler rules, unclear entity signals, JavaScript-dependent content or insufficient factual detail for an AI response.
The checker helps identify these page-level gaps.
Start with your homepage, main product or service pages, high-value landing pages and your most important informational content. You can also compare pages built with different templates to identify site-wide rendering or structural problems.
Run it after:
- Publishing an important page
- Redesigning a template
- Changing robots.txt or crawler rules
- Migrating frameworks or hosting platforms
- Adding structured data
- Rewriting important content
- Making a major technical deployment
You can also rerun checks periodically to confirm that later website changes have not introduced new problems.
First, verify that the page is publicly accessible and not restricted by robots.txt. Next, check whether the important content is available in server-rendered HTML.
If access and rendering are working correctly, improve the page’s topical focus, internal links, entity information and factual depth. Remember that the citation check is an observation from a specific retrieval test, not a guaranteed measure of all OpenAI responses.
Many visibility checking tools concentrate on running prompts and recording which brands appear. EasilyGeo analyzes the page behind the result.
It shows whether technical access, rendering, structure, metadata, schema or content quality may be reducing the page’s ability to become a source.
Find out whether AI systems can use your page
Stop guessing why your website is missing from AI-generated answers.
Run a free page analysis to identify access problems, rendering issues, unclear structure and weak citation signals.
Check LLM visibility →Free to use. No credit card required.
Looking for more guidance? Read our AI Trust Score explainer and guide to writing AI-search-optimized content.