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Start with what needs your attention.

Bring trend tiles, recommendations, missed gaps, share of voice, sentiment, crawler activity and recent work into one overview. Open the underlying finding or run before deciding what to do next.

Free with an account. Sign in when you run it; this page stays open to read.

A useful overview needs an honest empty state.

Illustrative example

Switch between a new account and labelled demonstration data.

An overview that leads back to evidence and work.

Fictional dashboard. No current customer results are shown.

Make the next useful review easy to find

The overview should help you identify the latest successful run, a missed question, a changed finding or a task waiting for review. The dashboard is a starting point, not another source of independent evidence.

Open Win this answer when a missed buying question needs a closer look at the evidence and suggested work.

Show the difference between empty and sample

Most AI-answer charts have only been reviewed with sample data. A new account needs an honest empty state; a failed run needs a failure state. Never fill a customer's dashboard with demonstration results that look like their own performance.

If the team needs someone to own the programme, fractional AEO/GEO leadership adds prioritisation, coordination and a human leadership review.

How it works

  1. Open the dashboard and inspect available data.
  2. Choose the finding, answer or task that needs review.
  3. Follow the evidence into the relevant action.

What to know before you use it

  • The dashboard is free; AI answer panels need Pro beta access and collected answer data.
  • Most AI-answer charts have only been viewed with sample data.
  • Answer-dependent panels require available collection data and current feature access.
  • The dashboard does not calculate revenue attribution.

Questions

Will every tile have data immediately?

No. Tiles depend on completed checks, available tracking data and enabled features.

Does this show proven business impact?

It shows observations and workflow context. Revenue attribution is not built.

Give the programme a clear owner.

Use fractional support to turn the available findings into priorities, reviewed work and leadership decisions.