Use-case playbook

Agency Reporting for AI Visibility

Run AI visibility agency reporting with controlled questions, inspectable answer evidence, defensible metrics, and clear next actions.

Direct answer

What this workflow should accomplish

Agency Reporting is useful when it preserves the question and answer evidence behind every metric, so agencies producing comparable evidence for multiple clients can distinguish an observation from an assumption.

The result is a bounded measurement for a defined question set and collection period. It does not establish a universal ranking, guarantee future inclusion, or prove why a model produced an answer.

The problem

Why a generic visibility score is insufficient

client reports need consistent definitions while protecting each brand's market context and data boundary.

Keep the full evidence trail so a reviewer can distinguish absence, mention, recommendation, citation, and description accuracy.

Who this is for

agencies producing comparable evidence for multiple clients

Use this playbook when the result will change a content, positioning, measurement, reporting, or go-to-market decision. Assign an owner before collection begins and agree on what evidence would justify action.

Question design

Start with a decision-shaped question

How should this client's recommendation evidence be summarized without comparing unlike markets?

Evidence to retain

client-specific question set, period, method, answer evidence, limitations, and action status.

Interpretation boundary

portfolio-wide averages can create false benchmarks across different categories and prompt sets.

Five-step workflow

Move from scope to a reviewable retest

  1. 01

    Define the decision and audience

    Define the decision and audience: agencies producing comparable evidence for multiple clients.

  2. 02

    Build a controlled question set. Start with

    Build a controlled question set. Start with: “How should this client's recommendation evidence be summarized without comparing unlike markets?”

  3. 03

    Retain client-specific question set, period, method, answer evidence, limitations, and action status.

    Retain client-specific question set, period, method, answer evidence, limitations, and action status.

  4. 04

    Review the main failure mode

    Review the main failure mode: portfolio-wide averages can create false benchmarks across different categories and prompt sets.

  5. 05

    Turn the finding into a test

    Turn the finding into a test: standardize report structure while keeping questions, competitors, and interpretation client-specific.

Primary metric

client actions supported by retained evidence

Publish the numerator, denominator, eligible question set, providers, collection dates, and exclusions beside the result. A score without its measurement contract is difficult to compare or audit.

Recommended next action

Turn the observation into a test

standardize report structure while keeping questions, competitors, and interpretation client-specific.

Record the observation, hypothesis, planned change, owner, expected mechanism, and retest condition separately. This keeps the report honest when evidence is incomplete.

FAQ

Questions to resolve before acting

What should Agency Reporting measurement include?

At minimum, keep client-specific question set, period, method, answer evidence, limitations, and action status. The result should remain traceable to the exact question and collection conditions.

What is the main interpretation risk?

portfolio-wide averages can create false benchmarks across different categories and prompt sets. Treat observed answers as bounded evidence, not proof of a universal ranking or a hidden model cause.

Which metric should the team review first?

Start with client actions supported by retained evidence. Keep its numerator, denominator, eligible question set, and collection period visible beside the result.