What AI engines say about your brand.
When a buyer queries ChatGPT, Claude, or Perplexity, your brand gets cited — or it doesn't. That signal exists on every query, on every engine. The module measures it systematically.
AI Visibility · Schneider AI
1,248 responses analyzed
When brand is cited
Share of Voice over time
30d · 3 entitiesShare of Voice
1,248 mentionsMeasurement sits at the center of the OS.
AI visibility is a metric you can measure, analyze, and improve. Integrated into the OS, it feeds into how the system decides alongside data from your stack.
Mention rate, position, sentiment, share of voice.
Prompts and competitors are configurable. Leaderboard, cited sources, and emerging competitor detection are available at any time.
Mention rate and position
How often your brand appears in generated answers. At what position, engine by engine.
Sentiment and share of voice
The tone associated with each mention. How much share competitors win over you across five engines.
Sources and emerging competitors
What LLMs rely on to justify their answers. Which competitors are gaining visibility in AI-generated answers.
Metrics feed straight into the OS.
An isolated score changes nothing. The module feeds OS context, which compares what you measure to the strategy on file, identifies the gap, and recommends what to fix. When the OS flags a gap, it can act: adjust content, redirect a campaign, update strategic context. Measure, decide, and execute in one place.
Analyze my share of voice on ChatGPT & Claude, produce a GEO audit, and propose a one-month action plan.
GEO Agent
Audits visibility and analyzes AI traffic
Execution Agent
Builds the monthly action plan
Save Document
running…Saves and shares the report
Visibility in the AI era.
Why AI engines cite some brands and ignore others. Clément Schneider covers the fundamentals in two hours of reading.
Measure your AI visibility.
A 30-minute call to see what LLMs say about your brand and what the OS can fix.
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