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.

Semantic Knowledge Graph

AI Visibility Content Map

64 articles organised into five interconnected knowledge clusters. Every cluster reinforces the others — forming a machine-readable authority graph that AI systems can traverse and cite.

64 articles·5 knowledge clusters·1 meta hub

Cluster Connections

AI Discovery & Retrieval

10 articles

AI Citation & Visibility

10 articles

Authority & Trust Systems

10 articles

AI Volatility & Stability

8 articles

Machine Trust Intelligence

Meta Hub · All clusters connect here

Knowledge Cluster

AI Discovery & Retrieval

How AI systems find, crawl, and extract content. The gap between indexing and retrieval readiness.

→ AI → Machine

→Why Indexing Speed No Longer Guarantees AI Visibility →The Hidden Delay Between Publishing and AI Search Awareness →Why Some Pages Are Indexed in Minutes but Never Cited by AI →How AI Systems Actually Discover New Content →Retrieval Simulation: Why Your Best Content Gets Skipped by AI →Why AI Systems Ignore 70% of Your Content →The Crawlability Gap: Why Traditional Technical SEO Misses 40% of AI Issues →Agentic RAG: What the Next Generation of AI Retrieval Means for Discovery →The Difference Between LLM Search and Agentic Crawl →How Autonomous AI Agents Discover and Vet Websites

Knowledge Cluster

AI Citation & Visibility

What determines whether AI systems select, use, and attribute your content in generated answers.

→ Authority → Machine

→Why ChatGPT Prefers "Best X" Content Over Traditional Blog Posts →The Difference Between Being Retrieved and Being Cited by AI →Why Wikipedia and Homepages Dominate AI Citations →What Makes a Page Invisible to AI Even If It Ranks on Google →How to Increase Your Citation Probability in AI Search Results →How ChatGPT, Perplexity, and Claude Choose What to Cite →How Perplexity Decides What to Cite: A Signal-by-Signal Breakdown →Building Citation Authority for AI Systems: The Long Game →Recommendation Surface Coverage: Where Is Your Brand Visible to AI?→Tool Calling, Citations, and Source Trust: Inside How AI Agents Reference Websites

Knowledge Cluster

Authority & Trust Systems

How trust is formed, validated, and maintained in AI ecosystems. Entity authority, schema trust, and contradiction detection.

→ AI → Machine

→Why First-Party Brands Win Every Google Core Update →Why Aggregator Websites Are Losing Visibility in AI Search →Machine Trust Score: Why It's Replacing Domain Authority →Synthetic Entity Detection: What SEOs Need to Know →Why Contradicting Yourself Across Pages Kills AI Trust Signals →Why AI Systems Ignore Schema Markup (And What They Actually Use)→Schema Markup Is a Trust Signal, Not a Tag →How to Build a Knowledge Graph That AI Systems Trust →Entity Optimization: The Signal AI Systems Weight Most →Entity Disambiguation: The One Thing Separating AI-Visible Brands

Knowledge Cluster

AI Volatility & Stability

The dynamics of AI search volatility, content freshness decay, and building resilience against algorithm change.

→ AI → Machine

→Why AI Overviews Change Every 2 Days but Still Mean the Same Thing →Two Core Updates in 43 Days: What Google Is Really Trying to Fix →Why AI Overviews and Google Core Updates Reward the Same Signals →What Makes a Website Survive Google Core Updates in 2026 →Temporal Authority: Why Stale Content Is Now an Active Trust Penalty →Temporal Authority: Why Stale Content Loses AI Visibility →Why Google AI Overviews Ignore Your Best Content →The Complete Guide to Optimizing for Google AI Overviews

Meta Hub

Machine Trust Intelligence (Meta Hub)

The core SiteNexis framework: AI visibility as a measurable, improvable system. Every cluster connects here.

→ AI → AI → Authority → AI

→The Four-Layer AI Intelligence Stack Every SEO Needs to Understand →What Is GEO? The Complete Guide to Generative Engine Optimisation →The Technical SEO Audit Is Dead. Here's What Comes Next.→The End of Keyword SEO: What Replaces It in an AI-First World →AI-First Content Architecture: Building Pages That Machines Trust →RAG and SEO: How Retrieval Augmented Generation Changes Content Strategy →The AI Perception Graph: Understanding Your Site's Semantic Topology →Semantic Clarity vs. Keyword Density: What AI Search Actually Rewards

See How Your Site Scores Across All Five Layers

SiteNexis audits your domain across 12 intelligence dimensions — from discovery readiness to machine trust — and produces an explainable, actionable report.

Start Free Audit — 10 Credits Included