Signal
Offer consistency and freshness across surfaces
Price, availability, shipping, and return values show identical, current numbers across the product page, structured data, feed, and checkout, so an agent never arbitrates a conflict or quotes an offer you no longer honor.
Per-platform status
Where a platform documents relevant behavior, its status and source are shown. 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 signal is typed hypothesis (Low confidence).
How to act on this
Drive price, availability, shipping, and return values from one source so all surfaces match, keep the feed's required attributes current, and put price and availability on a short TTL (or bypass the cache) so a stale offer never reaches an agent.
Related checklist items
- Run a live product feed carrying all required Merchant Center attributes. Readiness
- Populate availability in structured data and keep it truthful to the page. Readiness
- Keep inventory accurate and refreshed at the cadence agents expect. Readiness
- Enforce price parity across product page, feed, and structured data. Readiness
- Keep delivery and return terms consistent across prose, structured data, and feed. Selection
Handbook chapters