The visibility gap.
AI now shapes the consideration set before traffic arrives.
If your brand is not included in AI answers, you are not considered.
Most D2C brands have dashboards for:
- Paid
- SEO
- Retention
But none for:
- AI inclusion frequency
- Competitive dominance inside AI responses
- Catalog blindspots where AI fails to confidently surface your products
This is a visibility gap inside a growing revenue layer. The AI Revenue Diagnostic closes that gap.
What we test.
We simulate real buyer behavior.
100–500 high-intent queries in your category are tested across AI systems.
Comparative prompts
e.g., "Brand X vs Brand Y for sensitive skin"
Best-in-category queries
e.g., "Top-rated electrolyte powders under $40"
Constraint-driven searches
e.g., "Grain-free dog food for senior labs"
We then measure:
- Inclusion rate inside AI answers
- Competitive dominance patterns
- SKU-level visibility breakdown
- Accuracy and catalog consistency gaps
- Conservative revenue exposure estimate
AI Revenue Diagnostic
14–21 Day Structured Sprint
Designed for operators who want measurable visibility into AI-driven inclusion before making structural changes.
This is not an exploratory engagement.
It is a defined commercial assessment.
Clear scope.
Defined sprint.
Executive-ready output.
What's Included
- 100–500 high-intent AI query simulations
- Inclusion rate analysis across AI systems
- Competitive dominance mapping
- SKU-level visibility breakdown
- Accuracy and catalog consistency review
- Conservative revenue exposure modeling
- Executive-level report and walkthrough
Limited cohort. Current intake open.
We are onboarding a limited cohort of mid-market D2C brands.
Cohort size: 3–5 brands per category.
Apply for the Diagnostic