AI product readiness checklist for retailers

1. Product identifiers are complete and consistent.
2. Price and stock are synchronised across key channels.
3. Variants are grouped correctly.
4. Category and taxonomy mapping is reliable.
5. Core attributes such as material, colour, dimensions, size and compatibility are complete where relevant.
6. Product facts can be traced to a reliable source.

7. Important product facts are visible in crawlable text.
8. Product pages are indexable and crawlable where intended.
9. Structured product data matches visible page content, which Google's AI features guidance asks for.
10. Images are high quality and variants are represented accurately.
11. Video or use-in-context content exists for products where behaviour matters.
12. Delivery, returns and availability information is clear.

Items 7 to 12 are easy to mark yes from memory, so check them on the live site. Sighted's pilot with Onboard Sportswear consolidated duplicate URLs, submitted the site's first sitemap and addressed indexing gaps, as well as enriching the products. Over the pilot, AI citation coverage went from 0% to 33% of tested responses, organic clicks rose 59% and impressions in Google's AI features rose 1,140%. Its site work, the URLs, the sitemap and the indexing, is what item 8 asks about.

13. You know the non-branded questions customers ask before buying.
14. You can identify which product attributes those questions depend on.
15. High-value products carry use-case, compatibility and occasion facts where those facts are genuine.
16. Customer-service, review and search data is used to find missing information.
17. Enrichment is governed rather than generated blindly.

18. Merchant Center is healthy and current.
19. Google's conversational attributes have been assessed for relevant categories.
20. ChatGPT, ACP or existing platform integrations have been assessed for your stack; the ChatGPT troubleshooting guide lists the checks a product has to pass.
21. Enrichment can be published back into your own source and channels rather than living only in a third-party dashboard.

22. GA4's AI Assistant channel is visible and monitored.
23. Google's generative-AI reporting in Search Console is checked where available.
24. A controlled set of AI shopping prompts is benchmarked over time.
25. Product changes are tied to dates, treated SKUs and commercial outcomes so uplift can be assessed credibly.

• 20 to 25 yes: a strong base. Focus on recommendation optimisation and measurement.
• 12 to 19 yes: good ecommerce foundations, with likely gaps in intent coverage or distribution.
• 0 to 11 yes: fix product-data and measurement fundamentals before chasing AI-specific tactics.

The free AI visibility audit reads up to 50 of your product pages for several section B items, the structured data against the visible price, the photos and variants, and robots.txt, and reports the gaps. Inside the product, Sighted enriches the catalogue at scale against sections A and C: the attributes each product's category needs, written from your own descriptions, options and photos for your approval, and on Shopify written back to the product. It is the technology behind SO-ME, where the questions in section C arrive from shoppers.