AI VisibilityAnalysis Suite

5 proprietary tools for GEO & AEO optimization. Built for the 2026 AI search landscape.

Universal Scoring System

70-100: AI Ready

Optimized for citation

40-69: Needs Work

Improvements required

0-39: Critical

High risk of being ignored

Survive the Filter

Information Gain Scorer

Compare your content against AI-generated consensus baseline. Identify unique statistics, quotes, and insights that make your content citation-worthy.

AI consensus generation
Semantic diff analysis
Unique value extraction
Citation-worthy highlights
Free to useOpen
Knowledge Graph

Entity Graph Validator

Validate JSON-LD schema for Level 4+ nesting depth. Check @id connectivity and sameAs links to authoritative sources like Wikidata and LinkedIn.

Level 4+ depth check
@id node connectivity
sameAs authority links
Trust signal validation
Free to useOpen
Position Zero

AEO Position Zero Simulator

Analyze H2/H3 headers for "Inverted Pyramid" structure. AI prefers 40-60 word direct answers. Identify snippet opportunities and verbose sections.

Question header detection
40-60 word analysis
List extractability
Snippet opportunities
Free to useOpen
AI Navigation

llms.txt Architect

Validate your llms.txt file - the "robots.txt for AI". Check size limits (<10KB), Markdown syntax, and link efficiency for AI agent navigation.

File size validation
Markdown syntax check
.md vs .html analysis
Brand entity detection
Free to useOpen
2026 Multimodal

Multimodal Context Auditor

Audit images and videos for AI indexability. Check filenames, alt text, VideoObject schema, and transcripts for multimodal search optimization.

Image filename audit
Alt text analysis
VideoObject schema
Transcript detection
Free to useOpen
Beat Competitors

Citation Battle Simulator

Simulate how AI engines decide which content to cite. Compare your content vs competitors on E-E-A-T signals, unique value, and structure.

Win probability score
E-E-A-T comparison
Unique value analysis
Strategic recommendations
Free to useOpen

The Theory Behind These Tools

Information Gain

A patent-backed Google metric that rewards content for providing new information relative to what the user has already seen. LLMs are trained on "consensus content" — to be cited, you must offer unique data they don't possess.

Entity Depth

Simple schema is obsolete. 2026 GEO requires Knowledge Graph approach with entities nested 4+ levels deep (Article → Author → Organization → sameAs). This helps LLMs verify facts by tracing relationships.

AEO Formatting

Answer Engine Optimization targets "zero-click" searches. AI models prefer "Inverted Pyramid" structure with direct answers in 40-60 words immediately after a heading. Lists have highest extractability.

Ready to optimize for AI visibility?

Start with the recommended analysis flow: