Methodology
How we measure AI visibility
A structured process that delivers actionable insights in 5–7 business days.
TL;DR
We test 20 strategic queries across 4 major LLMs, benchmark against 3 competitors, score for visibility and accuracy, and deliver a prioritized action roadmap.
Five-layer method
Input → Method → Output
Scope & Query Selection
Input
Business context, target queries, competitor list
Method
Stakeholder intake, query mapping, baseline criteria
Output
Audit scope document, 20 validated queries
Multi-LLM Testing
Input
Query set, competitor names
Method
Systematic prompting across ChatGPT, Claude, Gemini, Perplexity
Output
Response archive with screenshots and metadata
Visibility + Accuracy Scoring
Input
Response data, accuracy criteria
Method
Citation analysis, fact verification, competitive positioning
Output
Scorecard, hallucination inventory, gap analysis
Root-Cause Analysis
Input
Analysis results, source review
Method
Identify structural gaps and missing authority signals
Output
Cause map and fixability assessment
Roadmap + Delivery
Input
Complete audit package
Method
Executive summary, detailed findings, walkthrough session
Output
PDF report, prioritized roadmap, optional walkthrough
Deliverables
What you receive
Executive Summary
Leadership-ready overview
Full Audit Report
Detailed findings with screenshots
Competitive Matrix
Your position vs. 3 competitors
Action Roadmap
Prioritized recommendations
Ready to start?
The €500 audit is the fastest way to establish your baseline.
Start your audit