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Media & Distribution

Place approved content with human control.

Use the media marketplace for paid placements and keep connected-channel publishing draft-first with explicit confirmation.

Marketplace Platform, category, price
Workflow Order to fulfillment
Publishing Draft-first
Boundary Human confirmation
Core capability

What Media & Distribution helps the team understand.

Use the media marketplace for paid placements and keep connected-channel publishing draft-first with explicit confirmation.

01

Media marketplace

Filter real media placements by platform, category and price.

02

Order workflow

Manage order, review, delivery status and wallet spend.

03

Controlled publishing

Require a person to confirm before any external write.

Operating model

Keep every result connected to evidence and action.

The product explains the result, preserves its source context and makes the next review explicit.

01
Keep service spend separateMedia placement spend is separate from software subscription quotas.
02
State connector boundariesConnected social channels should be promoted only after real-account validation.
03
Never promise automatic publishingThe product intentionally keeps a human approval step.
Illustrative product evidence

Move from summary metrics into the underlying question.

Sample data demonstrates the evidence depth of a formal project.

InsightWonder / Media & Distribution Sample data

Visibility evidence

Last 30 days
AI visibility 34% +4%
Mentioned questions 10/29 +2
Share of voice 31% +4%
Cited pages 27 +9
Buyer question Brand status Evidence
Best modular sofa for a small apartment Gap Competitor cited
Most durable washable sofa under $2,000 Mentioned Product page
Low-VOC sofa for families Recommended Guide + review
FAQ

Questions about Media & Distribution

Does this feature run from the public website?

No. Marketing pages explain the capability. Formal data collection begins only after a user enters the App and confirms the project scope.

Can snapshot results become part of this workflow?

Yes. A valid snapshot can be claimed as an initial sample, while onboarding still confirms markets, competitors and the formal monitored question set.

Are all metrics comparable across AI engines?

Core answer states can be normalized, but citations, search assistance and answer formats still need engine-specific evidence.

How often is the data refreshed?

Measurement runs on the schedule your plan allows, and monitoring quota is shared at the account level. Alerts require two consecutive runs to confirm, so model sampling noise does not become a false alarm.

Can the original AI answer be inspected?

Yes. Every result drills down to the answer that produced it, question by question and model by model, together with the citations found in that answer.

What happens when a model is unavailable?

That run is marked partial rather than being silently filled in. The remaining engines still complete, and the gap stays visible in the result.

From signal to action

Put Media & Distribution into a complete GEO workflow.

Create a project, confirm your market and start measuring the questions that matter.