Loading...
AI Visibility Diagnostic.
AGGREGATE VISIBILITY SCORE Your AI Visibility Score (0–100) measures how likely LLMs are to surface your brand when users ask relevant questions. It's calculated additively from 31 boolean signals and 4 continuous measurements, decomposed across 4 pillars: Foundational (11pts), Entity Resolution (28pts), Technical & RAG (37pts), and Authority & Citation (24pts).
Unlike share-of-voice tools that count prompt mentions (a lagging indicator), this score measures the structural inputs that drive LLM citations — making it predictive, actionable, and reproducible.
→ View full signal breakdown
0%
Global Reach
Confidence Zone ±3
Initializing deep vector analysis...
FOUNDATIONAL Canonical URLs, social presence, brand mentions, content corpus, and freshness — the basic discoverability layer that every brand needs before more sophisticated signals matter. 11 points of the 100-point score.
0%
0/11
ENTITY RESOLUTION Wikidata depth, schema markup, knowledge-graph anchoring, and disambiguation. How confidently can LLMs identify your brand as a distinct, real-world entity? 28 points of the 100-point score.
0%
0/28
TECHNICAL & RAG Crawler accessibility, semantic HTML, llms.txt, server-side rendering, schema, and answer-ready formatting — the retrieval surface area that determines whether AI systems can actually parse your site. 37 points — the largest single pillar.
0%
0/37
AUTHORITY & CITATION Top-5 ranking in Gemini, social proof, comparative anchoring, displacement, and independent source breadth — the hardest pillar to score well on, requires genuine market authority. 24 points of the 100-point score.
0%
0/24
Strategic plays you can run from this audit
Competitive Intelligence Suite
Market Position • Displacement Strategy
Market Visibility Ranking
Competitor scores are AI-estimated relative positions based on LLM knowledge, not verified audits. Run a full audit on any competitor for verified scores.
Latent Space
Identifies your Semantic Neighbors - the entities AI mathematically clusters with your brand based on shared vectors.
Processing clusters...
Displacement
The Visibility Gap measures the authority you must reclaim to displace current industry leaders in LLM citations.
Executive Strategic Takeaway
Initializing GenSight.AI Intelligence Engine...
LLM Bias & Semantic Perception
Net Perception Score Ratio of positive vs. negative semantic framing in foundational model responses.
--
Analyzing...
Topical Confidence Vectors
Processing topics...
High-Frequency Associations
Processing LLM context nodes...
Content Gap Map Semantic topics the AI explicitly associates with your competitors, but not you. Closing these gaps is critical for citation displacement.
AI Influence Graph Foundation models anchor their recommendations on these external domains. Establish a footprint here to bridge your semantic gap.
Target: your brand's core niche
Extracting latent citation nodes...
Strategic GEO Roadmap
Technical Remediation • Effort-Adjusted Priority
Impact vs Effort
Initializing remediation vectors...
AI-Ready Entity Schema Your brand's machine-readable identity for AI models. Paste this JSON-LD into your homepage <head> to improve how LLMs cite your brand. Replace placeholder URLs with your actual social profiles.
{ "status": "awaiting_generation" }