StoreSteady vs Site crawlers.
Site crawlers answer the breadth question: what is the technical state of every URL on your site? When the job is AI commerce readiness - what AI shopping systems do when they actually read the pages those crawlers inventory - StoreSteady is the system of record.
Two categories. Two jobs.
The technical state of every page on your site: URL inventory, status codes, redirect chains, canonical tags, hreflang, and indexability.
What AI shopping systems do when they actually read those pages: which questions they answer, which they skip, and what they do with the recommendation.
What each category is built to answer
Prose cells keep the comparison scoped: category strengths stay category strengths, and StoreSteady claims only the AI commerce readiness checks it is built to run.
| Question | Site crawlers | StoreSteady |
|---|---|---|
| URL inventory, status codes, redirect chains, and orphan pages | Category-strong. Breadth inventory is the crawler job. | Out of scope. StoreSteady does not crawl the whole site as a URL inventory system. |
| Site-wide canonical, hreflang, and indexability checks | Category-strong. These technical checks belong in crawler workflows. | Out of scope unless the public signal blocks AI commerce interpretation. |
| AI shopping outcome per landed page | No coverage. A crawl does not show which buyer questions the page can answer. | Prompt-to-page outcome mapping with session evidence. |
| Storefront-gap diagnosis for skipped pages | No coverage. Technical crawl lists do not explain AI shopping skips. | Fix brief per skipped page. |
| Agentic-checkout readiness of product pages | No coverage. Crawlers can find pages without proving purchase handoff readiness. | Cart handoff and protocol readiness signals. |
URL inventory, status codes, redirect chains, and orphan pages
Category-strong. Breadth inventory is the crawler job.
Out of scope. StoreSteady does not crawl the whole site as a URL inventory system.
Site-wide canonical, hreflang, and indexability checks
Category-strong. These technical checks belong in crawler workflows.
Out of scope unless the public signal blocks AI commerce interpretation.
AI shopping outcome per landed page
No coverage. A crawl does not show which buyer questions the page can answer.
Prompt-to-page outcome mapping with session evidence.
Storefront-gap diagnosis for skipped pages
No coverage. Technical crawl lists do not explain AI shopping skips.
Fix brief per skipped page.
Agentic-checkout readiness of product pages
No coverage. Crawlers can find pages without proving purchase handoff readiness.
Cart handoff and protocol readiness signals.
When AI commerce readiness is the job.
The object moves from URL to outcome
The relevant question is not just whether a URL exists, but whether AI shopping systems can use it.
Healthy pages can still fail
A 200 OK product page can still lack the evidence needed for comparison, trust, or purchase handoff.
Priority follows shopping impact
Fix order should follow failed AI shopping outcomes, not just alphabetical URL lists.
Questions operators ask about this comparison
Does StoreSteady crawl my whole site?
No. StoreSteady runs prompted AI shopping sessions against the entry points an agent would pick.
If my crawler reports zero errors, am I AI-ready?
No. A 200 OK page can still fail an AI shopping session for storefront-content reasons crawlers do not measure.
How do you measure these capabilities?
The public methodology explains the evidence model, scoring posture, and validation path. Read the methodology
Check what happens after an AI shopping system lands on the page.
Run a scan to see which public pages answer buyer questions, which get skipped, and where checkout-readiness breaks.
Go deeper after the category map
AI shopping agents ignore your store.
Find why ChatGPT, Claude, Gemini, Perplexity, and AI shopping results skip your Shopify store: missing product proof, schema conflicts, weak policy answers, and competitor swaps.
Shopping agents can't answer the questions your shoppers ask.
Find the buyer questions AI shopping agents cannot answer about your products.
AI agents can find you.
Catch the cart deeplinks, checkout redirects, and protocol gaps that block agentic purchases — before launch traffic hits them.