The Vector Protocol
How GeoAudit parses the cognitive landscape of Generative AI to map your brand's existence in the age of LLMs.
Executive Monitoring
We initiate multi-node crawls of Perplexity, ChatGPT (Search), and Google Search (Generative Experience) to baseline your brand's current "Top of Mind" status.
- Entity Recognition Mapping
- Sentiment baseline (Neutral/Positive/Negative)
- Recommendation probability score
Primary Objective
"Detect if the AI knows you exist, and more importantly, if it likes you."
Strategy
3-Competitor Radar Analysis. Seeing who owns the "Market Mention" share.
Competitive Collision
AI models are selective. If they aren't recommending you, they are recommending your competitors. We map the collision points.
- Citation gap analysis
- Competitor "Hallucination" benefits
- Sentiment theft detection
Vector Deep Dive
The "Truth" Calibration
We analyze the specific technical claims the AI makes about your brand. Fees, licensing, security, and feature sets are verified against your actual data.
CLAIM: "High transaction fees (3.2%)"
FACT: "Optimized 1.8% Fee structure"
IMPACT: HIGH PERCEPTION DAMAGE
Automated Fact-Checking
Our AI cross-references LLM outputs with your source-of-truth documentation to find hallucinations before your customers do.
Identifying what the AI *doesn't* know. We find the white space in the AI's knowledge base that your competitors are missing.
Not just data—action. We provide the exact Schema.org changes, content injections, and PR fragments needed to re-train the AI perception.