references/theories/product-feed-semantic-completeness.md

# Product Feed Semantic Completeness

## Theory

Use this as an applied decision model, not as proof that the model is correct in every market.

## Use when

- When product feeds are optimized for identifiers but weak on use cases or suitability.

## Mechanism

Score whether product data can answer attribute, compatibility, substitution, material, fit, use-case, inventory, and policy questions.

## Applied marketing use

Route the diagnosis to the specialist agents and skills connected in `neural/graph.json`; verify current platform facts using `references/2026/agentic-commerce-2026.md`.

## Failure modes

- Treating a current platform feature as a permanent law of marketing.
- Selecting the theory because it sounds modern rather than because it explains the observed constraint.

## Related principle

- `feed-completeness-for-conversational-intent`

## Sources

- `source:google-agentic-commerce-2026`
- `source:google-agentic-shopping-gml-2026`
- `source:google-ai-max-shopping-2026`