1 Enter your sitemap URL
Supports standard sitemaps and sitemap index files. Common paths: /sitemap.xml, /sitemap_index.xml
Error

See the full picture,
not just one page at a time

Analyzing pages one by one tells you about each page in isolation. A site-wide audit shows you the patterns, the systemic issues, and the pages worth fixing first.

Spot systemic issues
If every page is missing schema, has weak titles, or skips canonical tags, that's a template problem, not a content problem. Auditing reveals patterns no single scan can.
Prioritize what matters
Not every page deserves the same attention. Compare scores across your site to find which pages drag down your overall AI visibility and which deserve immediate fixes.
Track site-wide progress
Run the audit before and after rolling out template changes to measure real impact across dozens of pages, not just the ones you remembered to check.

The four visibility pillars

Every check maps to a real behavior of large language models when they crawl, extract and cite content.

Structural Integrity
30%
Checks the foundational HTML signals that LLMs use to understand page identity: title quality, heading hierarchy, semantic tags, canonical URL, Open Graph, language attributes, and hreflang.
Title tag H1 / H2 / H3 Canonical URL Open Graph Semantic HTML Lang / Hreflang
Read more about Structural Integrity
AI Extractability
35%
The highest-weighted pillar. Measures how well an LLM can extract, chunk, and cite your content: schema markup, paragraph length, lists, definitional patterns, dates, internal links, and breadcrumbs.
JSON-LD Schema Paragraph length Lists Date signals Internal links Breadcrumb
Read more about AI Extractability
Content Clarity
15%
Evaluates how clear and readable the content is for both humans and AI models. Checks average sentence length, heading density, and Flesch reading ease (skipped for Greek-language content).
Sentence length Heading density Flesch score Greek-aware
Read more about Content Clarity
Authority & Trust
20%
Assesses the trust signals LLMs use to evaluate source credibility: About and Contact page links, author attribution, social profiles, image alt text, meta robots settings, and robots.txt AI crawler access.
About / Contact Author Social profiles Image alt text Meta robots Robots.txt
Read more about Authority & Trust

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