StoreSteadyStoreSteady
Examples

Governed Output Examples

These examples show the difference between generic AI advice and StoreSteady output governed by evidence, confidence, and validation.

Weak generic output

Generic policy advice

Your return policy may be unclear. Improve it so AI tools understand your store better.

Overstated outcome

Adding more product schema will make AI shopping agents recommend your products more often.

Missing source context

Your checkout could confuse buyers. Review checkout settings.

Governed StoreSteady output

Policy claim mismatch

Evidence: the returns page says final-sale items are excluded, but the observed AI answer described all items as returnable. Confidence: Likely. Fix: clarify the final-sale rule on the policy page and product templates. Validation: re-crawl the policy page and repeat the same AI observation.

Product truth mismatch

Evidence: the PDP says the bundle contains three refills, while Product markup exposes one unit. Confidence: Confirmed. Fix: align PDP copy and structured data. Validation: re-read the Product and Offer markup after deploy.

Crawler access gap

Evidence: the sitemap lists the collection URL, but the URL returns a temporary redirect chain before the product grid loads. Confidence: Likely. Fix: expose a stable canonical collection URL. Validation: re-fetch the sitemap URL and confirm the crawler-visible status path.

Needs merchant confirmation

Evidence: a wholesale product appears in public structured data, but the PDP is gated. Confidence: Needs merchant confirmation. Fix: confirm whether the product should be public. Validation: remove or expose the product consistently, then re-crawl.