FYN / USE CASE · CPG
CPG: from invisible to selectable.
CPG brands depend on retail and AI-driven discovery for the majority of demand. AISO ensures every SKU is structured, eligible, and selected across the surfaces that matter.
01 / PROBLEM
The CPG findability gap.
◦ DIAGNOSIS
Strong brand equity does not equal AI eligibility. Most CPG portfolios suffer from incomplete attributes, generic copy, and fragmented signals across retailers—all of which exclude products before selection begins.
- ◦Missing ingredient, dietary, and use-case attributes
- ◦Marketing-driven copy that AI cannot interpret
- ◦Inconsistent retailer-by-retailer content
- ◦No monitoring for content drift over time
In CPG, the gap between SEO and AISO is also the gap between brand consideration and exclusion.
02 / APPROACH
What AISO does for CPG.
◦ APPLIED
01 / STRUCTURE
Attribute hardening
Standardize ingredient, nutrition, dietary, and use-case attributes across PIM and downstream syndication.
02 / INTERPRETATION
Use-case clarity
Translate marketing language into machine-readable signals AI systems use to match intent.
03 / ELIGIBILITY
Retailer alignment
Tune for Walmart, Target, Amazon, Kroger, Instacart algorithm priorities without losing brand voice.
04 / SELECTION
Drift defense
Continuous monitoring + alerts when retailers overwrite content; rapid re-optimization.
03 / OUTCOMES
What CPG teams measure.
◦ KPIs
◦ 01
Attribute coverage
Move from <70% → 95%+ across the catalog.
◦ 02
AI inclusion rate
How often products appear in AI-generated lists.
◦ 03
Retail search rank
Average position across top retailers.
◦ 04
Velocity lift
Sales-per-PDP after restructuring.
◦ 05
Drift recovery time
Hours-to-restore after retailer overwrites.
◦ 06
Selection probability
Composite AISO/GEO score.