What we study.
Our research focuses on:
- AI recommendation dynamics in competitive categories
- Inclusion volatility across product segments
- Comparative prompt dominance
- Revenue exposure modeling
- Structural eligibility gaps in D2C catalogs
This is not commentary.
It is commercial analysis.
Featured analysis.
Documenting structural shifts inside AI-mediated commerce.
1️⃣ Supplement Category
How AI Is Reshaping the Consideration Set
What changes when recommendation probability becomes a competitive variable.
2️⃣ Market Dynamics
Competitive Dominance Inside AI Answers
How cleaner product data shifts comparative positioning.
3️⃣ Financial Impact
Modeling Revenue Exposure
A structured approach to estimating revenue impact from AI-driven inclusion.
4️⃣ SEO vs AI
Why Crawlability Is Not Eligibility
Understanding the structural difference between being visible and being confidently included.
5️⃣ Skincare Category
Shortlist Compression in Skincare
When recommendation density narrows, small differences compound.
See where your brand stands.
Research informs strategy. The AI Revenue Diagnostic puts your brand in the data.