Measuring GEO ROI: a rigorous framework for operators

GEO without measurement becomes a content hobby. Operators need KPIs that tie AI visibility to revenue — and that survive CFO scrutiny.

Tier 1 — Visibility metrics

- **Citation Rate (CR)** — % of tracked prompts where your domain appears in AI source lists. Track by engine (ChatGPT browse, Perplexity, Google AI) and locale. - **Share of AI Voice (SOAV)** — Your citations ÷ (your + competitor citations) for category prompts. - **Position in source list** — First cited domain wins disproportionate click-through in some UIs.

Tier 2 — Engagement proxies

- Referral traffic from AI domains (where analytics allow) - Branded search lift after GEO campaigns - Direct traffic to pages cited in AI answers

Tier 3 — Revenue attribution

- Assisted conversions: users who visited via AI-referred paths within 30-day window - Incrementality tests: holdout URLs without GEO fixes vs treatment group

Experimental design

Run 90-day cohorts. Baseline 30 days → implement Visora fix pack → monitor 60 days. Minimum sample: 50 category prompts × 3 engines × weekly snapshots.

Reporting template

| Metric | Baseline | Week 12 | Δ | |--------|----------|---------|---| | Citation Rate | | | | | SOAV | | | | | Organic + AI-assisted revenue | | | |

Rigor separates GEO leaders from teams publishing "AI-optimized" blog posts nobody cites.