An AI agent that shops your Salla store and tells you where you lose the sale
It opens your store in a real browser, picks a product, adds it to the cart and walks to checkout. Then it judges 115 rules, ranks what it found by revenue at risk, and proves every finding with a screenshot.
23Salla stores the agent visited in the last 10 days.
Nothing to install, no permissions, nothing changes in your store. About three minutes. We check it is a store first, in a few seconds.
Numbers from Salla stores, not from stores in general
Salla stores with a complete walk score between 37 and 61 out of 100, across 19 stores. The numbers update with every new audit.
Salla stores the agent has shopped
Every name is a real Salla store whose owner asked for an audit, or one we audited as a case study. Newest first.
Names only. Each store's score and findings belong to its owner and are never published without consent.
What costs Salla merchants the most sales?
The rules Salla stores fail more than any other, from the latest completed audit of each store. A rule counts only where it was actually judged.
The loss is an estimated range by the rule's severity, the same one the report prints. Estimate. Method published.
What does the agent actually do?
It does not read your code and it asks for no permissions. It buys.
Do answer engines like ChatGPT find your store and quote it? Structured product data, FAQs, shipping and returns policies as readable text.
Can an AI agent read your prices and availability and complete a purchase for a customer? 12 checks, scored separately out of 100.
Opens your store in a real browser, desktop and mobile, the way a first-time customer does.
Finds a product page, adds to cart and walks checkout to the payment step, then stops. No card, no order.
115 published rules, each pass, partial or fail, and a screenshot proving every failure.
Every finding carries a revenue at risk range, so you start with what costs you most, not what catches the eye.
What we saw, why it matters and what to change, in steps your team or theme designer can act on.
It works for both sides of commerce: the merchant managing the store, and the shopper buying from it.
Can ChatGPT buy from your store?
Your next shopper may be an AI agent buying on a customer's behalf. Twelve extra rules measure whether such an agent can read your products and prices and complete a purchase, scored separately out of 100.
Built to understand Salla stores
The same agent works on any store. Salla stores taught it a few specific things.
After adding to cart it asks Salla's own storefront for the cart contents instead of trusting page text, so a full cart is never mistaken for an empty one.
Prices in SAR and Gulf currency marks, Arabic checkout buttons, right-to-left pages.
Knows the shape of Salla product links and does not confuse them with content pages that carry a product slider.
All 115 rules, why each one matters and the fix steps, in Arabic. In English too, for merchants working with an outside team.
Built by UX and conversion experts, not by guessing
Experts who have worked with international clients around the world, with a proven record: millions of dollars saved by their clients applying the same rules the agent judges your store by today.
Each of the 115 rules rests on published research and keeps a fixed id in the report, so your theme designer can go to the same source.
Every finding carries a screenshot from your store, the rule id and the estimated loss range. You can verify it yourself in a minute.
If the checkout could not be reached the report says so plainly, and a rule that was not judged is never counted and never guessed.
Why this is money, not design
200 orders a month. One critical fix worth 2 to 5% of checkouts. 4 to 10 more orders, every month.
example, using the estimate range the report prints
The score out of 100, coverage, and the three worst findings with the screenshot that proves each one.
Every failing rule with severity and estimated loss, every screenshot with the element marked, what we saw, why it matters and the fix, the AI readiness score, and an action plan ordered by return on effort. PDF, CSV and JSON.
Where the agent is going
Today it tells you. Next it works inside Salla. After that it fixes with your approval and measures the effect in riyals.
Is this an AI agent or an audit tool?
An agent in the practical sense: it acts in your store the way a shopper does, decides what deserves fixing first by money, and writes the steps. What it does not do today: it does not change your store itself. That is next, and only with your approval.
Do I need to install an app from the Salla App Store?
No. Paste your store address. The agent visits the same public pages any customer sees.
Does it change anything in my store?
Nothing. It reads, adds to a guest cart and stops before payment. It never enters a card, places an order or creates an account.
How long does it take, and is it really free?
About three minutes for most stores. The score and the three worst findings are free. The full report, with every finding and screenshot, is a one off payment.
Will you publish my store?
Never without your consent. Published audits here are stores whose owners agreed, or stores we audited ourselves as case studies.
Does it understand a fully Arabic store?
Yes. Prices in riyals, Arabic buttons, right-to-left layout. The report itself comes to you in Arabic.
See what your Salla store is losing, today.
About three minutes. Free.