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Analytics is the multi-execution reporting view for an experiment. Use it when you want to see how visibility or sentiment changed across runs — not just the latest snapshot. Navigate to Reporting → Analytics in the sidebar, then select an experiment.

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Analytics vs experiment results

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Dashboard tabs

After you open an experiment, the analytics dashboard includes:
  • Overview — KPIs, top movers, source concentration, category performance
  • Trends — charts across executions
  • Model compare — visibility experiments only
  • Sources — citation mix, domains, tracked URLs
  • Themes — sentiment experiments only
  • Insights — auto-generated insight cards

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Filters and baselines

Use the filter bar to narrow by:
  • Models
  • Categories
You can also toggle execution sanitization to include only executions where every active model returned at least one query result. On Overview, choose a baseline comparison:
  • Default — compare to the previous execution
  • Previous — explicit previous-execution baseline
  • First — compare against the first successful execution

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KPI bands

Visibility experiments surface metrics such as overall visibility, visibility trend, winning categories, and at-risk categories. Sentiment experiments surface metrics such as mean sentiment, sentiment band, negative categories, and sentiment trend.

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Empty states

  • No Execution Data — run at least one successful execution before analytics can load
  • Unable to Load Analytics — retry or confirm the experiment still exists

Reading results

Interpret a single execution’s visibility or sentiment results.

Insights Agent

Ask natural language questions about experiment data.

Scheduling

Keep analytics fresh with recurring executions.

Experiments

Create and manage visibility and sentiment experiments.