Audit your website's visibility for SEO and AI agents.
A single score for Indexability, Readability, and LLM Discoverability. Know exactly how machines perceive your content.
Complete Visibility Audit
We look beyond keywords to analyze how your infrastructure supports both human searchers and AI retrieval agents.
SEO Health
Traditional Indexability check. We analyze Meta tags, redirects, canonical health, and page load speeds to ensure Google finds you first.
AI Readiness
LLM Optimization metrics. We verify entity clarity, structured JSON-LD data, and plain-text extractability for LLM context windows.
Actionable Fixes
No jargon, just data. Receive a prioritized checklist of specific technical improvements that will boost your machine-readability score.
Sample Report: example.com
See how ClearSight visualizes your machine-readability profile.
Critical Findings 3 Issues
AI agents cannot definitively identify the author or publication date of your articles. Recommended: Implement NewsArticle schema.
Major structural failure on core service pages. Impedes both standard search indexing and LLM document segmentation.
Content-to-HTML ratio is below 15%. AI summarizers may fail to capture context due to excessive boilerplate code.
We simulate how an AI bot reads your page.
Unlike traditional crawlers that look for keywords, ClearSight uses advanced NLP parsers to simulate the "Context Window" of LLMs like ChatGPT, Claude, and Gemini.
- Semantic Weighting: Identifying if your main entities are prominent enough for RAG (Retrieval-Augmented Generation).
- Noise Removal: Checking if your navigation and ads are confusing the text extraction layers of search agents.
- Schema Validation: Ensuring your structured data follows the latest AI-ready standards from Schema.org.
Stop guessing how machines see your content.
Join 2,400+ developers and SEOs who are optimizing for the next generation of search.
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