Case study
AI Assistant Traffic Case Study: How One Ecommerce Brand Grew Revenue 71%
Between 1 June and 30 September 2026, an Indian ecommerce brand we work with saw AI assistant sessions grow 42.96% and AI assistant revenue grow 71.02%. Figures come from GA4 and cover the AI Assistant channel only. This page shows what moved, what we did, and how you can track the same thing.
- +42.96%AI assistant sessions
- +71.02%AI assistant revenue
- +66.15%Ecommerce purchases
- +57.18%Add to carts
Case study summary
- ClientAn Indian ecommerce brand, name kept private
- Industry Beauty & Pesonal Care Brand
- GoalGet the store mentioned and cited by AI assistants, and turn those visits into orders [Just Expriment]
- DataGA4, AI Assistant channel group
- Periods1 Jun to 31 Jul 2026 against 1 Aug to 30 Sep 2026, 61 days each
Where we started
Shoppers had started asking AI assistants what to buy. Our job was to make the store easy for those tools to read and quote, and to measure what came of it.
What we did
At Consultant Ankit, we worked on the pages shoppers actually land on.
- Gave every category and product page one clear purpose
- Put a short, plain answer near the top of key pages
- Rewrote product copy to cover what it is, who it suits, what is in it and how to use it, what ingredients, and what it is best for.
- Done some research and asked the people what problems they are facing, and we have added that the products can help to solve those pain points.
- Added Product and FAQ markup where the visible content supported it
- Linked category pages, product pages and articles together
- Checked the AI Assistant channel in GA4 every month
Nothing clever. Clear pages that answer real questions.
Results: AI assistant traffic and revenue in GA4
Two equal periods of 61 days, compared side by side.
| Metric | 1 Jun to 31 Jul 2026 | 1 Aug to 30 Sep 2026 | Change |
|---|---|---|---|
| Users | 8,559 | 12,681 | +48.16% |
| Sessions | 12,110 | 17,312 | +42.96% |
| Add to carts | 1,782 | 2,801 | +57.18% |
| Ecommerce purchases | 130 | 216 | +66.15% |
| Revenue | ₹436,162.57 | ₹745,914.12 | +71.02% |
Source: GA4, AI Assistant channel group.
Revenue grew faster than sessions, so these visitors were buying, not just browsing. Our own sums from the same data:
- Purchases per sessionabout 1.07% before, about 1.25% after
- Revenue per purchaseabout ₹3,355 before, about ₹3,453 after
Bounce rate also rose, from 1.93% to 3.02%. Still low, but worth saying.
To keep it honest, AI Assistant made up about 1% of the shop’s revenue in August and September. Small, and growing.
The GA4 screenshots
Both reports show the AI Assistant row only, with the later period on the top line and the earlier period below it. Other channels are left out.
How to track ChatGPT traffic in GA4
- Go to Reports, then Acquisition, then Traffic acquisition.
- Set the dimension to Session primary channel group and find the AI Assistant row.
- Compare two date ranges.
One limit. Some AI visits arrive with no referrer and land in Direct or Unassigned, so the real number is probably higher.
How to optimise product pages for AI search
Write for the shopper. AI tools quote pages that state facts plainly. Each product page should carry:
- A one or two line summary
- Ingredients or materials
- Who it suits, such as skin type, hair type or age
- How to use it
- Size, price and delivery details
- Real customer reviews
- A short FAQ
What beauty and personal care brands can copy
Shoppers ask specific things: “is this fine for dry skin”, “how often can I use it”. Answer those on the product page.
Plain-language ingredient lists help people trust you and give AI tools something to quote.
And set up the AI Assistant report now, even while the numbers are tiny. Ours started small too.