What's new in sqrly

When a shopper asks ChatGPT to buy from a store, the app often answers with a shopping carousel — product cards with prices and a buy button, built from merchant feeds. That carousel is a different pipeline from the web-search answers monitoring tools check, and the two can disagree: a brand can win the text answer and still lose every card. Reports now observe it directly — a real, logged-out ChatGPT session asks to buy from your store by name, and the report shows every card that came back: your store, or the exact reseller who captures the sale instead, at their price.

Until today the report assessed this risk from your feed signals and said so plainly — we don’t pretend to see a surface we can’t. Now we can see it, so we show it: one observed snapshot per scan (the app rebuilds the carousel every session), with what we saw and when.

Every Pulse dashboard can now draft the work it recommends. The llms.txt move writes the actual file from your store’s own scan data. Every fact-check flag (“says open 24/7 — your site says 9–6”) grows a correction kit: what’s wrong, where the assistant likely read it, paste-ready corrected copy, and how to get the page recrawled. And the sites that shape your category’s answers each get a drafted outreach pitch, grounded only in what your store verifiably offers.

Everything is a draft you review — nothing is ever published to your store without you. Weekly emails now lead with a single next move instead of a change log, and you can point your dashboard’s emails at any address, straight from the footer.

sqrly Pulse has a proper home at sqrly.ai/pulse, and you can now subscribe there directly — no free report required first. We check that your catalog is readable before any charge, and a store that already has a subscription can’t be charged twice.

The free report also got its honest name: it’s a free Pulse snapshot — the same product, as a one-time look. And every report and dashboard grew a feedback button that lands straight in the founder’s inbox.

Pulse dashboards now show which of your pages the AI assistants read when they answer shoppers — question by question, assistant by assistant. If Claude cites your boot-fitting page when someone asks who fits boots best near Tahoe, you’ll see exactly that. And if none of your pages show up in their reading, that’s worth knowing too — it means their answers about you come from other people’s sites.

Every report and weekly pulse now starts with a reachability check: TLS, bot protection, and robots rules, tested the way an AI crawler actually experiences them. A store that blocks the crawlers is invisible to the assistants no matter how good its pages are — so this comes first, and proven access loss triggers an alert email. Nothing speculative does.

We also taught our own scanner to fully honor robots.txt — if a store asks not to be crawled, we don’t, and the report says so plainly. We should live by the rules we check.

The watching service. Subscribe once at $9.99/month and your store gets a full scan immediately, a light visibility pulse every week, and a full rescan every month — with a live dashboard, competitor tracking, and an email only when something actually moves. No account and no password: the link is the login.

It exists because a report is a snapshot, and AI answers don’t hold still — assistants change their minds, rivals get featured, product data goes stale. The launch post has the full story.

Reports now ask Perplexity alongside Claude, ChatGPT, and Gemini. It’s the assistant shoppers lean on hardest for “which one should I buy” research, which makes it the most commercially important answer sheet we check.

The detailed report now asks the assistants ~30 real shopper questions about your category — never naming your store — and counts who gets recommended: you, and who instead. It maps which sites shaped those answers into a ranked get-featured list, and tests whether your product photos reach AI answers at all.

Anyone can run their own AI-readiness report at assessment.sqrly.ai/check — enter your store URL, confirm your email, get a private link. No account, no sales call, and the free DIY fixes are included, not held hostage.

Being visible isn’t enough if the assistants get you wrong. Reports now verify what each assistant says about your store against your own site — wrong hours, wrong policies, invented services get flagged with the exact quote. Plus ten buyer questions (“what does shipping cost?”) tested against your pages, and a one-paragraph verdict up top instead of a wall of scores.

The report began asking Claude, ChatGPT, and Gemini about stores live, with web search enabled — the way a real shopper’s assistant works, not from stale training memory. That week also added a live ChatGPT-shopping probe (are your products in its shopping results right now?) and turned every report into a private, shareable link.

We started building: a readiness check that reads an online store the way AI systems do — content, structured data, catalog feed — and says plainly what’s missing and how to fix it, including the fixes that cost nothing. Private and invite-only at first, while we tested it against real stores.