# Conversational product attributes

> Whether your Merchant Center feed carries Google's six optional conversational attributes, a field set added for AI answer surfaces rather than for ads.

<!-- Canonical: https://agentmint.net/signals/conversational-attributes/ · Signal in the AgentMint.net Signals Database · Evidence: spec-fact (Very high confidence) · Last verified 2026-09-18 · Evidence types are load-bearing: spec-fact | reported | hypothesis (no measured). -->

- **Affects (funnel stage):** Matching
- **Evidence:** spec-fact
- **Confidence:** Very high
- **Impact:** 3/3
- **Status:** active
- **Last verified:** 2026-09-18

## 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 | supported | Google documents six optional attributes (question_and_answer, document_link, related_product, item_group_title, variant_option, popularity_rank) designed to complement the primary product data specification. The page names AI Mode in Search, not the Gemini app. | [link](https://support.google.com/merchants/answer/17085370) (verified 2026-09-18) |
| Perplexity | unknown | Not documented by this platform. | - |
| Copilot | unknown | Not documented by this platform. | - |
| Claude | unknown | Not documented by this platform. | - |

## Evidence and sources

- [Conversational attributes (Google Merchant Center Help)](https://support.google.com/merchants/answer/17085370) (accessed 2026-09-18)
- [Boost your holiday sales with these agentic commerce updates](https://blog.google/products-and-platforms/products/shopping/google-shopping-updates-holiday-shopping/) (2026-09-16)

## How to act on this

Add the attributes you can populate truthfully from data you already hold. related_product and variant_option let an agent see substitutes and options it would otherwise have to infer, popularity_rank hands it an in-catalog preference signal, and question_and_answer puts answers in the feed rather than in a widget an agent cannot reach.

### Handbook chapters
- [Make Your Product Feed AI-Readable](https://agentmint.net/make-product-feed-ai-readable/)

### Related signals
- [Offer markup completeness and truthfulness](https://agentmint.net/signals/offer-markup-completeness/)
- [Variants and titles use the words shoppers type](https://agentmint.net/signals/variant-and-title-matching/)
- [Descriptions answer relayed buyer questions](https://agentmint.net/signals/buyer-question-descriptions/)

## Notes

Google reports that in testing with lululemon, conversational attributes submitted by the brand were incorporated 50% of the time in relevant AI Mode product recommendations. That figure is first-party and self-reported with no methodology disclosed, and it describes one named test rather than a published study.