# Variants and titles use the words shoppers type > Variant names and product titles lead with explicit, literal attributes (category, size, color, material, use-case) an agent can map to a user's query, not internal codes or brand-only names. - **Affects (funnel stage):** Matching - **Evidence:** hypothesis - **Confidence:** Low - **Impact:** 2/3 - **Status:** active - **Last verified:** 2026-07-08 ## Per-platform status Undocumented platforms show "unknown" - honest unknowns, never invented. | Platform | Status | Notes | Source | | --- | --- | --- | --- | | ChatGPT | unknown | Not documented by this platform. | - | | Gemini / Google AI Mode | unknown | Not documented by this platform. | - | | Perplexity | unknown | Not documented by this platform. | - | | Copilot | unknown | Not documented by this platform. | - | | Claude | unknown | Not documented by this platform. | - | ## Evidence and sources This is a hypothesis (our own inference); no external source is cited. ## How to act on this Read variant names and titles cold: rewrite any that don't lead with the literal attribute or category phrase a shopper would search. ### Related checklist items - [Name variants with explicit attributes (size/color/material) a machine can disambiguate, not "Style A".](https://agentmint.net/tools/agent-selection-checklist/#b-offer-legibility-02) (Selection) - [Lead titles with the words shoppers type (category + attribute + use-case), not brand-only names.](https://agentmint.net/tools/agent-selection-checklist/#b-product-content-04) (Selection) ### Handbook chapters - [Information Density: Facts Per Token on Machine Surfaces](https://agentmint.net/handbook/information-density/) ### Related signals - [Facts per token, complete against peers](https://agentmint.net/signals/facts-per-token/) - [Descriptions answer relayed buyer questions](https://agentmint.net/signals/buyer-question-descriptions/)