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GEO: monitoring Share of Voice in ChatGPT and Perplexity

Prompt pools, bulk runs, SoV, Sentiment, and Accuracy for Generative Engine Optimization. Q2 2026.

GEO: monitoring Share of Voice in ChatGPT and Perplexity
Contents

In brief

GEO (Generative Engine Optimization) tracks the share of LLM answers that mention your brand — Share of Voice (SoV). One ChatGPT screenshot is not data; you need dozens of runs per prompt.

Context

LLM outputs are stochastic: repeat the same prompt and brand lists shift. GEO visibility is measured at scale, not once.

Why it matters

GEO drives delayed demand: users see your brand, close the chat, search your name weeks later. Without SoV you cannot tell if content work pays off.

In practice

Four steps:

  1. 10–30 prompts — situational, task, comparison.
  2. 60–100 runs per prompt in target LLMs.
  3. Metrics: SoV, Sentiment, Accuracy.
  4. Quarterly cadence — answers drift.

We offer GEO Monitoring as part of SEO / AEO / GEO.

Takeaway

GEO without measurement is guesswork. SoV makes chat-assistant optimization repeatable.