AI Visibility Analysis

Get Found in AI Answers - Not Left Behind

Scan your website for the schema, entity, linking, and content issues that stop it from being cited in AI-generated answers.

Analysis powered by the Runexus AI Visibility Engine.

Learn how AI visibility works Understand structured data Review common AI visibility issues
✔ ChatGPT ✔ Claude ✔ Gemini ✔ Perplexity
What It Analyzes
AI visibility across your most important pages
Structured data, content clarity, entity trust, internal linking, and AI readiness.

Scan A Domain

Fast AI visibility analysis across up to 5 important pages.

Takes 10 seconds • No signup required • Instant results
AI systems evolve constantly. Runexus helps you maintain visibility over time.

How AI Systems Evaluate Your Website

AI systems rely on structure, trust signals, internal linking, and content clarity to understand and reuse information from your site.

How Your Score Is Calculated
Structured Data 35%
Entity Clarity 25%
Content Quality 15%
Crawlability 10%
Internal Linking 10%
Performance 5%

What is AI Visibility?

AI visibility is how clearly AI systems can understand, trust, and reuse your content in generated answers.

Strong AI visibility means your pages are structured in a way that lets an answer engine resolve your brand, understand the topic, and extract useful passages without guessing.

For example, a page that includes Organization schema, clear headings, direct answers, and supporting links is much easier for AI systems to cite than a thin marketing page with no machine-readable signals.

Why it matters

When your site is easy for AI systems to understand, it is more likely to appear in generated answers, summaries, and recommendation results across ChatGPT, Google AI, and similar systems.

How to Improve AI Visibility

  • Structured data: Add Organization, WebPage, FAQ, and page-level schema so AI systems understand the page type and entity relationship.
  • Internal linking: Link explanation pages, product pages, and supporting resources with descriptive anchors that reinforce topical authority.
  • Entity clarity: Keep Runexus, runa@runexus.io, and https://runexus.io consistent across content and schema.
  • Content depth: Expand thin pages with direct definitions, examples, supporting details, and useful comparisons.

Practical example

A service page should define the problem, explain the solution, link to supporting pages, and include schema that matches the page purpose. That combination is much easier for AI systems to reuse accurately.

Why Your Site Is Not Showing in AI Answers

Sites are usually excluded from AI-generated answers when the structure, schema, trust, and content depth are too weak to support confident reuse.

Common blockers

Missing structured data, inconsistent company details, shallow topic coverage, and weak internal linking reduce the signals AI systems use to trust and cite a page.

What the scanner surfaces

The scanner highlights the specific schema, entity, linking, and content issues that are keeping your pages from being selected as answer sources.

Common AI Visibility Issues

Thin content

Pages that name a topic without explaining it in enough detail rarely provide enough material for answer extraction.

Weak entity signals

If Runexus, runa@runexus.io, and https://runexus.io are not presented consistently, entity resolution becomes weaker.

Missing authorship

Visible authorship and author schema help explain who is responsible for the analysis and why the content can be trusted.

Poor internal linking

Related pages should reference each other with descriptive anchors so AI systems can map the topical structure of the site.