A store that finds on its ownwhere it loses money
The AI assistant works every day, you just approve. It sees where the store is losing sales, proposes a fix and applies it after your “Yes”.
Sound familiar?
With 5-50 thousand products in the catalog, you can't keep track of everything by hand. Problems pile up quietly and never make it onto anyone's to-do list.
It's not a matter of diligence, it's a matter of scale. One marketer can't review 20 000 pages every day. The assistant can.
How it works
The same cycle every day. No tickets, no reminders, no “forgot to check”.
Your store, Google Search Console, GA4 and the catalog. Every night, across all pages.
A problem or a growth point: a page without a description, a 404 on a product, a query without a page.
What exactly to do and what it will bring. In the owner's language, not as a technical spec.
One button. Or “No”, and the assistant won't bring it up again.
On its own, if the change is within its reach. Or it hands a ready task to a developer.
After 2-4 weeks: before, after, what to keep and what to roll back.
Total for the night: 4 findings, 2 of them in the decision queue
10-15 minutes a day: review and click
Without the fix, 438 were expected. The difference is the effect.
The figures on screen are illustrative. Your store will have its own.
Already working. At the sporting goods store dzentime.com.ua, the assistant collects Search Console data on thousands of products every day and proposes filter pages for the queries shoppers actually search with.
Division of roles
Scenarios
Typical situations from stores with 5-50 thousand products. In the owner's language, no technical specs.
Interface
It's not a spreadsheet report. Each finding is a card: the problem, the fix, what it will affect, and a “Yes” button. The data on the screens is illustrative.
Google shows the category for these queries, but the query words aren't on the page, and the position is already close to the first page.
| Query | Position | Impressions |
|---|---|---|
| men's mid-season jacket | 8,6 | 1 120 |
| nordvik jackets | 9,1 | 640 |
Add a description based on catalog attributes. The assistant will prepare the copy, you review it before it's published.
The page should climb to the first page of results: up to +120 clicks a month.
The same Nordvik Trek product is live at a new URL, while the old one returns 404. Impressions and links lead nowhere.
Set up a permanent 301 redirect to the new URL. Target verified: returns 200, doesn't redirect itself, same product in the catalog.
Impressions and rankings move to the new URL; internal links stop leading to a 404.
Jackets · Title and H1 · 14.10
Last 30 days: 38 changes in 6 batches.
Even if you're a team of one
The assistant doesn't wait to be asked. It comes with findings ready and remembers what it did last month.
Security and control
The assistant prepares, you confirm. Automatic mode is enabled separately and only for rules you've approved.
Every change has a history. If a metric doesn't improve, the assistant notices on its own and offers to restore the previous version.
Store data belongs to you and works only for your project. Access can be revoked at any time.
Google Search Console, GA4 and your CMS or CRM via standard access. Where writing isn't needed, access is read-only.
How to start
Access to Search Console, GA4 and your admin panel. A short talk about your goals.
Where the store is losing sales right now and what the assistant can fix on its own.
A check every night, a digest every morning, your “Yes”, and a monthly results report.
We connect, the assistant works for a month. At the end, a report: what it found, what we did, and what it brought according to Google's numbers.
Leave a requestThe assistant every day, our team close by: a developer for changes that need hands-on work, and a person you can talk to.
Leave a requestQuestions
No. The assistant takes over the routine: daily monitoring, finding 404s, draft copy, checking results. Strategy, complex changes and final decisions stay with a person, on your side or ours.
No change reaches the site without your “Yes”. If a metric doesn't improve after a change, the assistant notices on its own and offers to roll it back.
Reading works with any store: all it needs is Google Search Console and GA4. Writing changes depends on the platform: where there's an API, the assistant writes on its own; where there isn't, it prepares a task for your developer. We'll check what's possible in your case on a call.
10-15 minutes: review the digest and click “Yes” or “No” on five decisions. If you skip a day, the decisions simply wait.
Your data stays yours and works only for your store. Connection goes through the official interfaces of Google and your platform, and access can be revoked at any time.
ChatGPT answers when you ask it. The assistant looks at your store, your Google data and your catalog every night on its own, remembers what it did last month, and checks whether it worked. You don't have to ask it anything: it comes with the answer.
Not for the connection. For changes that can't be made via API (for example, in the site's code), the assistant prepares a task. Your developer or ours can do it.
A change log: what it found, what we did, and what it brought according to Google's numbers. Based on it, you decide whether to continue.
Next step
Leave your contact details and we'll arrange a short conversation: we'll show you how it works and discuss a pilot.
We have received your request and will contact you shortly to arrange a short conversation.
If it is urgent: +38 044 337 37 73
