# Delivery ETA is computable per destination

> Concrete handling time, transit time, order cutoff and per-destination shipping data let an agent answer 'when will it arrive?' and 'can it arrive by [date]?' rather than defer to a competitor that can.

<!-- Canonical: https://agentmint.net/signals/delivery-eta-legibility/ · 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

- [Google: Shipping policy structured data](https://developers.google.com/search/docs/appearance/structured-data/shipping-policy) (2026-07-08)

## How to act on this

Set handlingTime, transitTime and cutoffTime as ranges (siblings, not nested) with per-destination transit, and echo the estimate in PDP text so a distinct ETA resolves for two distant ZIPs.

### Related checklist items
- [Make delivery time concrete enough for an agent to compute an ETA, not "ships soon."](https://agentmint.net/tools/agent-selection-checklist/#b-delivery-returns-01) (Selection)
- [Express order cutoff times so "order by X for Y delivery" is machine-legible.](https://agentmint.net/tools/agent-selection-checklist/#b-delivery-returns-03) (Selection)
- [Make your data answer "can this arrive by [date]?" per destination.](https://agentmint.net/tools/agent-selection-checklist/#b-delivery-returns-09) (Selection)

### Handbook chapters
- [Information Density: Facts Per Token on Machine Surfaces](https://agentmint.net/handbook/information-density/)

### Related signals
- [Offer cost legibility](https://agentmint.net/signals/offer-cost-legibility/)
- [Return terms are fully legible](https://agentmint.net/signals/returns-legibility/)
- [Offer consistency and freshness across surfaces](https://agentmint.net/signals/offer-consistency-freshness/)