Patent-Pending AI Visibility IntelligenceLive Forensic Audit
See exactly how AI models perceive, misrepresent, and omit your brand. In 20 minutes.
NeuroRank’s live forensic diagnostic is a one-time, high-volume probe across ChatGPT, Gemini, Claude, and Perplexity. Using fresh-token incognito methodology, it eliminates session bias and surfaces the reality of your AI presence: what’s accurate, what’s hallucinated, what’s missing, and who’s taking your place.
$7
Compute fee
12–20 min
Runtime
4 LLMs
Simultaneous
5 Reports
Per LLM + Combined
Regional
Deep regional analysis
How it works
Three steps. No setup. No integration.
Enter your brand
Provide five inputs:
- Brand name
- Company (legal name)
- Website URL
- YouTube channel
- Region
That’s it. No CMS access. No analytics integration. No development time.
Marketing agent reads your brand
NeuroRank’s marketing agent crawls your website and public digital presence. It identifies trust signals, captures information on your brand positioning, customer segments, product offerings, and company data. It creates an initial trust signal probe - the baseline that all subsequent LLM responses are measured against.
This is not a form you fill out. The agent reads your brand the way AI reads your brand.
4 LLMs probed simultaneously
Agents fan out across the chosen region in incognito, using fresh authentication tokens. ChatGPT, Gemini, Claude, and Perplexity are queried in parallel. Each model generates a complete 10-section intelligence report independently. A fifth combined report synthesizes all four into a unified briefing.
12–20 minutes. Your intelligence briefing is delivered.
The Agent Journey
Aided and unaided recall are the foundation of brand health measurement. The advertising industry has used these techniques for decades to measure how consumers perceive brands. NeuroRank is the first system to apply them systematically to the AI reasoning layer.
Here is exactly how the agents move through your audit, and the sequence in which intelligence is built.
Reads Your Brand
Phase 0
Marketing Agent Reads Your Brand
Before any LLM is queried, NeuroRank’s marketing agent crawls your website and public digital presence. It captures:
Brand positioning and business model
Core product and service offerings
Customer segments
Company data: founding, geography, legal entity
Trust signals: certifications, awards, partnerships, endorsements
YouTube presence and content footprint
Phase 1
Unaided Recall
The gold standard in brand health research. Agents fan out across the chosen region in incognito using fresh tokens. Category-level prompts are submitted to all four LLMs simultaneously. Your brand is never mentioned. The question: does AI include you without being prompted?
This is scored across six proprietary dimensions, derived from neuromarketing research methodology:
Innovation Score
Measures AI association of the brand with new ideas, R&D, product launches, and forward-thinking positioning versus competitors.
Recall Score
Measures frequency with which AI models surface the brand when prompted with category or problem-type queries. This is the most direct measure of unaided brand presence in AI.
Trust Score
Measures AI attribution of confidence, reliability, certifications, longevity, customer success, and regulatory compliance signals.
Digital-First Score
Measures AI perception of the brand’s digital maturity, online presence, technology reputation, and digital channel coverage versus competitors.
Leadership Voice Score
Measures the presence and prominence of CEO, founder, and executive thought leadership in AI-indexed content.
Prompt Inclusion Score
Measures frequency of brand appearance in AI-generated recommendation lists. This is the most direct measure of AI discoverability.
Phase 2
Aided Recall
The gold standard in brand health research. Agents fan out across the chosen region in incognito using fresh tokens. Category-level prompts are submitted to all four LLMs simultaneously. Your brand is never mentioned. The question: does AI include you without being prompted?
This is scored across six proprietary dimensions, derived from neuromarketing research methodology:
01.
Regional vs. Global Perception
How AI describes your brand in the chosen region compared to its global perception. Identifies geographic blind spots.
02.
Perceived Strengths
Attributes that AI models consistently attribute positively to your brand across all four providers.
03.
Perceived Vulnerabilities
Gaps, weaknesses, or negative associations surfaced by AI. These are the brand perception risks most teams don’t know exist.
04.
Cross-Provider Consistency
Where models agree versus disagree about your brand. Inconsistency across providers means your brand story is not stable in the AI layer.
Output: regional and global perception comparison with status-tagged findings (positive, warning, critical), narrative tags, and a synopsis summarizing overall AI brand perception.
Feeds into: 03 Market Perception Snapshot
Phase 3
Sequential Intelligence Build
Within each LLM, agents process each section in order. Each section’s output is passed as context to the next, building cumulative intelligence depth. This is not ten independent queries — it is a sequenced investigation where each finding informs the next.
01. Brand overview
Compiles AI’s complete profile of your brand: positioning, business model, key offerings, customer segments, founding history, geography, and trust signals. Cross-references the marketing agent’s baseline to flag discrepancies. Cited sources show the actual URLs AI is drawing brand information from.
Positioning and business model as described by each AI model
Key offerings: what AI thinks you sell
Customer segments AI associates with your brand
Trust signals: certifications, awards, partnerships surfaced from AI-indexed content
Cited sources: the actual URLs AI is drawing from
Phase 4
Combined Synthesis
Upon completion of all four provider audits, a combined synthesis report merges insights from all four outputs into a single unified intelligence briefing. You see each model’s perspective individually and as a combined view. Cross-model variance is detected and flagged. Cited sources with actual URLs are cataloged.
Five Reports, One Audit
The gold standard in brand health research. Agents fan out across the chosen region in incognito using freshtokens. Category-level prompts are submitted to all four LLMs simultaneously. Your brand is never mentioned.The question: does AI include you without being prompted?
Gemini report
how Google's AI overviews perceives your brand
Each report includes cited sources with actual URLs, enabling you to identify and fix source-level problems.
Cross-model variance is flagged wherever AI models contradict each other about your brand.
Enterprise Grade
Zero-risk integration.
Zero PII access
NeuroRank requires no access to customer data or internal databases. We never touch your CRM, analytics, or internal systems.
Outside-in intelligence
We probe AI models using the same conversational layer as your customers, identifying risks without compromising your infrastructure.
Governance guardrails
Every recommendation is audited through the Maker-Checker framework before any action is taken.
Infrastructure agnostic. Zero development time required.
What Comes Next
From diagnosis to governance.
The Live Forensic Diagnostic gives you a clean view of your status: what AI knows, what it's getting wrong, and what's missing. It's the starting point.
For brands ready to move from diagnosis to continuous governance, Model Preference Engineering provides the full system: RAG layer optimization, memory acceleration, inclusion tracking, and monthly execution sprints.
