# Descriptions answer relayed buyer questions

> Product copy answers, in buyer language, the concrete questions agents relay from users (fit, compatibility, use-case) rather than marketing fluff that dodges them.

<!-- Canonical: https://agentmint.net/signals/buyer-question-descriptions/ · Signal in the AgentMint.net Signals Database · Evidence: hypothesis (Low confidence) · Last verified 2026-07-08 · Evidence types are load-bearing: spec-fact | reported | hypothesis (no measured). -->

- **Affects (funnel stage):** Comparison
- **Evidence:** hypothesis
- **Confidence:** Low
- **Impact:** 3/3
- **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

- [ACES (arXiv:2508.02630)](https://arxiv.org/abs/2508.02630) (2026-07-08)

## How to act on this

List the 5 questions buyers ask (fit, compatibility, use-case) and confirm the description answers each in plain sentences, mirroring key facts out of any spec-only table.

### Related checklist items
- [Write descriptions that answer the questions agents relay from users (fit, compatibility, use-case).](https://agentmint.net/tools/agent-selection-checklist/#b-product-content-02) (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/)
- [Query-conditional rewrites are a targeted experiment](https://agentmint.net/signals/description-rewrite-experiment/)