Technical foundation
Crawlability, SEO signals, link topology, performance, robots, sitemaps, canonicals, and structured access.
AI retrieval + machine trust intelligence
SiteNexis models how AI systems retrieve, interpret, trust, cite, and recommend your content—showing exactly where machine understanding forms and where it breaks.
The machine-first web
Your content passes through extraction, semantic chunking, ranking, compression, answer generation, and citation filtering. Traditional audits see the page. SiteNexis examines the complete retrieval path.
The intelligence stack
Each layer depends on the one beneath it. Scores stay traceable because machine trust is built from observable signals, not a black box.
Crawlability, SEO signals, link topology, performance, robots, sitemaps, canonicals, and structured access.
Entity clarity, schema, semantic trust, citation readiness, chunk quality, and AI extractability.
Retrieval readiness, perception graphs, surface inclusion probability, and explainable visibility scoring.
Six-stage retrieval simulation, temporal authority, contradiction detection, and recommendation mapping.
How it works
Renders and maps up to 500 pages, removes boilerplate, extracts semantic chunks, and identifies entities while respecting robots.txt.
SEO, schema, AI readability, entity intelligence, citation probability, and semantic trust agents run across the domain.
Six weighted signals form an explainable visibility score, with every deduction tied to a named issue.
Layer 4 models retrieval, credibility, schema alignment, external validation, contradictions, and trust decay.
The engine compares the search cohort, finds evidence and entity gaps, and classifies page intent with Scout.
Issues become one dependency-aware P0/P1/P2 roadmap with impact, effort, and a complete report.
Intelligence modules
No composite number without a sub-score breakdown. Every deduction maps to an issue and every issue maps to an action.
Models extraction, chunking, ranking, compression, answer generation, and citation eligibility.
Maps named entities and scores consistency, disambiguation, and external validation depth.
Measures credibility consistency, schema alignment, contradictions, authority, and decay signals.
Estimates citation eligibility using factual density, claim specificity, and authority signals.
Maps likely inclusion across AI Overviews, chat retrieval, voice assistants, and agents.
Turns every issue into a named recommendation ordered by priority, impact, and dependency.
Recommendation surfaces
SiteNexis estimates where content can surface and identifies the measurable structural signals blocking inclusion.
Explore the documentationOne audit per month
For independent developers
The full intelligence stack
For managed portfolios
Pricing is synchronized with the live SiteNexis pricing page and may change there first.
Free intelligence audit
Run all available free-layer agents on your domain. No account or credit card required.
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