AI crawl and readability check

Check AI crawl access and content readability

Check page access, text extraction and content structure. Actual AI citations require separate monitoring of specific prompts and model answers.

  • Free to try
  • Checks crawl and content-clarity signals
  • Preview issues in seconds

How It Works

Review access, extractable text and content structure on one page. This check does not test model answers or predict which AI platform will cite the page.

  1. Step 1

    Enter a key page

    It can be a homepage, product page, feature page, blog post, comparison page, documentation page, or case study page.

  2. Step 2

    Review access and content structure

    Review reading barriers, headings, extractable text, brand and product descriptions, and supporting sources.

  3. Step 3

    Review page issues and next steps

    Use the reported access and structure issues to plan fixes. Monitor specific prompts and model answers separately to verify citations.

What this tool checks

The review focuses on observable page access and content structure. Findings should be verified on the page:

  • Page response and barriers to reading the main content
  • Clear page title, H1 and heading hierarchy
  • Whether the main text and key conclusions can be extracted
  • Clearly presented facts, examples, sources and update dates
  • Explicit brand, product category, target audience and use cases
  • Internal links and labels that explain page relationships
  • Missing context or structure that makes the page hard to read

Why page access and readability matter

Readable pages make their content easier to inspect and maintain.

  • Access barriers or text that cannot be extracted prevent a reader or crawler from reviewing the main content.
  • Clear headings, product descriptions and source links make information easier to verify.
  • A readable page does not guarantee AI citations. Measure actual citations through prompt monitoring and original answers.

Common page access and structure issues

Review these issues directly on the page. A single-page check cannot measure actual model citations.

  • The page topic is unclear, so AI cannot quickly tell what this page is about.
  • The H1, title, and above-the-fold content are inconsistent, making it easy for models to focus on the wrong points.
  • Key information is buried too deep or scattered across multiple sections, making it harder to extract and summarize.
  • Missing examples, data, sources, definitions, or update timestamps undermines content credibility.
  • Brand, product, use cases, and target customers are not clearly described, which affects entity understanding.
  • Key conclusions are hard to locate because the page lacks clear headings, lists or answer paragraphs.

Which signals to focus on in the preview results

This review covers page access, extractable text and content structure. Citation monitoring requires specific prompts and original model answers.

Page signalWhy it mattersCommon problems
AI AccessibilityAI has to reach the main content before it can summarize or cite itHeavy JS dependence, robots restrictions, or invisible body content
Answer ExtractabilityAI prefers pages with clear conclusions and explicit structureCore points are too scattered and answer snippets are hard to extract
Evidence and sourcesPerplexity and AI Overview prefer pages backed by evidenceMissing data, sources, author information, update dates, or examples
Entity ClarityGemini and Google need to recognize the brand, product, and topic entitiesBrand positioning is vague and the product category or target customer is unclear
AI Prompt FitDifferent pages work better for different types of AI search promptsThe page can only answer informational questions and struggles in comparison or purchase scenarios
Misread RiskAI may summarize the page incorrectly or recommend it in the wrong contextThe title, body, and product description are inconsistent, or multiple business lines are mixed together

How to improve page access and readability

Start with clear, extractable and verifiable page content:

  • Move the core conclusion into the above-the-fold area and first 300 words
  • Align the H1, title, description, and body topic
  • State the brand, product category, target customer, and use case explicitly
  • Add examples, data, sources, authorship, or update dates
  • Add FAQs, comparison tables, steps, definitions, and summary blocks
  • Avoid placing important information only inside images, video, or interactive components
  • Add appropriate structured data (Schema), internal links, and supporting context

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FAQ

Does this check predict AI citations?

No. It reviews page access, text extraction and content structure. It does not calculate citation probability, rank platforms by fit, or prove that an AI platform has crawled the page.

How can I verify whether a platform cites my page?

Monitor specific prompts and record the platform, region, date, original answer and cited URLs. A page check alone cannot establish an actual citation.

Can a page still be absent from AI answers after fixing these issues?

Yes. Page access and readable structure are only part of the process. Product category, brand context, external sources, competitors and the prompt also matter. Verify changes against original model answers.

What should I do after reviewing the check?

Verify the reported access, heading, text extraction and source issues on the page, then fix them. Use ongoing prompt monitoring to review actual mentions and citations separately.