Before a shopping agent recommends a store — or completes a purchase on a shopper's behalf — it tries to answer a handful of practical questions from the store's public pages: what does it cost, what does shipping cost, how long does delivery take, can I return it, is it in stock, does it fit me. Every sqrly Pulse snapshot tests these questions against your site and shows which ones an agent can actually answer.
A "no" on any of them doesn't just cost you polish. An agent comparing two stores will lean toward the one where it can complete its checklist — uncertainty reads as risk.
The questions, and where the answers live
- Price & availability — in Product & Offer schema on every product page, not only in the visible design.
- Shipping cost — a one-line summary near the price ("Free US shipping over $40") plus the full policy page. See store policies & shipping.
- Delivery time — the answer stores miss most. Add concrete transit windows to your shipping policy page: "Standard: 3–5 business days; Expedited: 1–2 business days." Without numbers, no agent can answer "when will it arrive?"
- Returns & refunds — a substantive policy page: how many days, who pays return shipping, refund or exchange.
- Sizing & fit — size guides on product pages; for apparel, fit notes an agent can quote ("runs small — size up").
- What's it made of / does it work for me — ingredient and material lists as page text, not only in images, where an agent can read them.
The FAQ page trick
A dedicated FAQ page is the most agent-friendly format on the web: literal questions with literal answers, exactly the shape an AI is trying to fill. If your answers are scattered across policy pages, product pages, and support emails, an FAQ collects them in one crawlable place. Wrapping it in FAQPage schema makes it fully machine-readable.
How you'll know it worked
The buyer-question card on your Pulse snapshot re-tests all ten on every scan. Fix the page an answer was missing from, and that row flips from ✗ to ✓ on the next scan — with the finding quoting where the agent found it.