SiteNexis is an AI Retrieval and Machine Trust Intelligence platform that models how AI systems — including ChatGPT, Gemini, Perplexity, and Claude — retrieve, interpret, trust, and recommend web content. It runs 16 intelligence agents across four layers and produces a 12-dimensional audit report with actionable recommendations.

How does SiteNexis improve AI visibility?

SiteNexis analyzes entity clarity, schema completeness, chunk extractability, semantic trust signals, and retrieval simulation across six stages. Each finding maps to a named issue with specific recommendations. Improvements to entity consistency, schema alignment, and content structure directly raise the probability of being retrieved and recommended by AI systems.

Which AI systems does SiteNexis analyze?

SiteNexis models retrieval behavior across Google AI Overviews, ChatGPT browsing and RAG modes, Perplexity, Gemini, Claude web search, voice assistants, and autonomous agents. Provider scoring weights are configurable and all scores are labeled as probabilistic estimates.

What is the Machine Trust Score?

The Machine Trust Score is a 0–100 composite that models AI system confidence in a website as a reliable source. It combines entity credibility consistency (30%), schema trust alignment (20%), external validation depth (25%), contradiction absence (15%), and trust degradation resistance (10%).

What is the Intelligence Report?

The Intelligence Report is a Grok-style editorial narrative generated for every audit. It synthesizes all twelve scores and the top issues into six named sections: a Signal Summary, SEO Posture, AI Visibility standing, Machine Trust analysis, Entity Health, and a Strategic Verdict with a composite X.X/10 score. Unlike dashboards that surface raw numbers, the Intelligence Report reads like a professional analyst's assessment — prose with precision.

What is the Decision Roadmap?

The Decision Roadmap is the output of the Decision Orchestrator — a v4 system that transforms a ranked issue list into an optimally sequenced action plan using Sequencing Value Score (SVS). It identifies the single best action to start with, groups subsequent actions into This Week, This Sprint, and Backlog bands, and calculates the projected score impact of completing each band. It also identifies parallel tracks for team-based execution.

SiteNexis has a free tier with 1 full AI visibility audit per month covering Layers 1–3. Layer 4 Machine Trust Intelligence — including Retrieval Simulation, Machine Trust Score, Temporal Authority, Recommendation Surface Mapping, and Synthetic Entity Detection — is available on Pro and Agency plans.

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Strategy 5 min readJun 22, 2026

Demo Audit Reports: See Before You Buy

We believe in radical transparency. Before you sign up, you can explore full audit reports for four real domains — genshipyard.com, alwajudproperties.com, inforsphere.com, and community.genhub.fun. No signup required.

Most SaaS platforms hide their output behind a paywall. You pay first, then discover whether the product delivers value. SiteNexis takes the opposite approach: we show you exactly what an audit report contains, with real data from real domains, before you create an account. The demo showcase on our landing page includes four complete audit reports that you can explore in full — every score, every issue, every recommendation.

Four Real Domains, Four Different Profiles

The demo audits are not synthetic test data. They are actual audits of real websites with real strengths and weaknesses. GenShipYard.com represents a technology platform with strong entity signals but schema gaps. AlwajudProperties.com shows a real estate domain with local business schema but weak AI extractability. Inforsphere.com demonstrates a content-heavy site with citation readiness strengths. Community.GenHub.fun shows a community platform with unique link graph patterns. Each domain tells a different story about AI visibility.

What You Can Explore Without Signing Up

Full score breakdown across all twelve intelligence dimensions
Issue lists with severity classification and specific recommendations
Entity intelligence reports showing detected entities and consistency analysis
AI Perception Graph visualization of how AI systems model the domain
Retrieval readiness scores per page with chunk quality analysis
Schema completeness reports with auto-generated fix suggestions

Why Transparency Builds Trust

We built SiteNexis to model machine trust — how AI systems form confidence in content. It would be contradictory to hide our own output behind opacity. The demo reports demonstrate that our scores are explainable, our recommendations are actionable, and our analysis is substantive. Every deduction maps to a named issue. Every issue has a recommendation. There are no black boxes.

●Demo reports are refreshed weekly to ensure they reflect the latest scoring algorithms and UI improvements. The domains were selected to represent diverse industry verticals and different AI visibility profiles — not to show only high scores.

Explore the demo reports on our landing page, then audit your own domain with the same depth.

Create free account