// CASE STUDY — REAL MACHINE DATA
Case Study: AI Command Center — from invisible to cited
The numbers below are not a mockup. We pointed the NMQ machine at our own domain — aicommandcenter.pro — and this is the real output: AI visibility over time, AI overviews, positions and markets, pulled live from the growth feed.
// AI VISIBILITY OVER TIME
Share of Voice is an estimate based on sampled public AI responses (ChatGPT, Perplexity, Gemini, Google AI Overview). Results may vary by query, location and model.
// WHAT THE MACHINE MEASURES — REAL NUMBERS
AI VISIBILITY
0%
Δ -8% vs prev scan
AI OVERVIEWS
6
SERPs with AI overview
BEST POSITION
#1
Top SERP rank found
MARKETS
6/6
Market pages generated
DAYS TRACKED
30
Live scans by the machine
Source: api.aicommandcenter.pro/api/public/growth · same feed the dashboard uses · updates daily
// HOW THE MACHINE DOES IT
▸ AI VISIBILITY TRACKING
Every day the machine asks public AI models how they answer real queries and checks whether the domain appears in the synthesized answer — before the user even scrolls to the results.
▸ AI CITATIONS
Mentions are monitored across ChatGPT, Perplexity, Gemini and Google AI Overview — which AI answer cited the domain, and how often.
▸ POSITION TRACKING
Live SERP scans per keyword and per market record the best position found. In this window the machine found position #1.
▸ MARKET EXPANSION
The machine generates dedicated market pages per region so the domain can be found in more locations — 6 of 6 target markets active here.
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Share of Voice is an estimate based on sampled public AI responses (ChatGPT, Perplexity, Gemini, Google AI Overview). Results may vary by query, location and model.