What this workflow should accomplish
AI visibility for Martech means testing whether the right product is understood, mentioned, compared, and recommended for the buyer conditions that define this market.
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.
Why a generic visibility score is insufficient
category sprawl and overlapping feature language make comparison answers especially unstable.
Keep the full evidence trail so a reviewer can distinguish absence, mention, recommendation, citation, and description accuracy.
marketing technology product and growth teams
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.
Start with a decision-shaped question
“Which marketing platforms help a lean B2B team attribute pipeline without adopting a full enterprise suite?”
Evidence to retain
job to be done, stack dependency, team size, pricing posture, and competitor displacement.
Interpretation boundary
feature-level similarity can place the product in an unsuitable suite or budget tier.
Move from scope to a reviewable retest
- 01
Define the decision and audience
Define the decision and audience: marketing technology product and growth teams.
- 02
Build a controlled question set. Start with
Build a controlled question set. Start with: “Which marketing platforms help a lean B2B team attribute pipeline without adopting a full enterprise suite?”
- 03
Retain job to be done, stack dependency, team size, pricing posture, and competitor displacement.
Retain job to be done, stack dependency, team size, pricing posture, and competitor displacement.
- 04
Review the main failure mode
Review the main failure mode: feature-level similarity can place the product in an unsuitable suite or budget tier.
- 05
Turn the finding into a test
Turn the finding into a test: organize prompts by job, existing stack, team maturity, and purchase constraint.
job-to-be-done recommendation coverage
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.
Turn the observation into a test
organize prompts by job, existing stack, team maturity, and purchase constraint.
Record the observation, hypothesis, planned change, owner, expected mechanism, and retest condition separately. This keeps the report honest when evidence is incomplete.
Questions to resolve before acting
What should Martech measurement include?
At minimum, keep job to be done, stack dependency, team size, pricing posture, and competitor displacement. The result should remain traceable to the exact question and collection conditions.
What is the main interpretation risk?
feature-level similarity can place the product in an unsuitable suite or budget tier. 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 job-to-be-done recommendation coverage. Keep its numerator, denominator, eligible question set, and collection period visible beside the result.