Measuring AI Visibility ROI: From PRSNSS Score to Pipeline
A practical framework for connecting AI visibility metrics to revenue. Includes attribution, conversion and forecasting models.
Measuring AI Visibility ROI
Finance teams want one number: pipeline per dollar invested. Here is how to get there with GEO.
The attribution stack
1. PRSNSS Score lift — leading indicator (visible in 2-4 weeks).
2. AI referral traffic — Perplexity, Bing/Copilot and Gemini emit referrers; ChatGPT and Claude largely do not.
3. Branded direct traffic lift — proxy for unattributed AI mentions.
4. Pipeline tagged "AI-influenced" — ask in demo forms.
Benchmark conversion rates (PRESENSS data, 2026)
- Perplexity: 4.2% click-to-MQL
- Copilot/Bing: 3.1%
- ChatGPT (direct): 0.9% (mostly invisible)
- AI Overviews: 1.4%
Forecasting model
Incremental MQLs ≈ Δ(PRSNSS) × monthly_query_volume × engine_share × 0.011
FAQ
Is GEO measurable?
Yes — directly for Perplexity/Copilot, indirectly for ChatGPT/Claude via branded-search lift.
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