What would you want an AI CRO audit to actually find on your store?

Shopify Apps
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1

Hey everyone,

I’m working on an AI-powered CRO audit for Shopify stores and I’m trying to understand what store owners actually find useful in a CRO audit.

A lot of the CRO audits/tools I’ve tried tend to give fairly basic suggestions like:

  • Add clearer CTAs

  • Improve product descriptions

  • Add trust badges

  • Improve page speed

Those can be useful, but they don’t always identify why a store might actually be losing sales.

For example, I’m thinking an AI CRO audit should be able to look at things like:

  • Homepage → collection → product → cart journey

  • Product page UX and buying friction

  • Broken links or broken elements

  • Mobile vs desktop experience

  • Where users may be dropping off

  • Navigation and search issues

  • Product/collection discoverability

  • Cart and checkout friction

  • Confusing or unnecessary steps

  • Trust issues that could stop someone from purchasing

  • Technical issues that affect the shopping experience

I’m also considering using a crawler so the audit can actually inspect the store instead of making recommendations from just a few screenshots/pages.

If you could run an AI CRO audit on your store, what would you want it to find that existing tools usually miss?

I’d really appreciate examples of actual problems you’ve encountered, rather than general CRO advice.

4

You’re thinking about this the right way - the generic audits miss the bigger picture. One insight to add: prioritize findings based on actual customer behavior, not theoretical improvements.

A crawl that finds navigation issues is useful, but it’s actionable only when you know those issues are where your traffic actually abandons. Same with mobile friction or checkout steps - the technical findings matter most when they’re mapped to real dropoff points in your data. That’s what separates a tool that sounds smart from one that actually helps merchants fix what’s costing them money.

5

it’s really nice idea

6

Full disclosure: I’m co-founder of UX Agent, so I work in this category. The useful output is not a longer issue list; it is an evidence chain: observable issue → affected journey or segment → behavior evidence → confidence → fix or test.

A crawler can prove that a broken link exists, but it cannot prove that the link is costing sales. I’d want the audit to separate crawl facts from session/funnel evidence and state what still needs validation. Bonus points if it groups repeated symptoms into one root cause instead of producing 40 generic recommendations.