6 min read
Here is a number worth sitting with: according to Google’s September holiday shopping update for retailers, merchants who adopt its core product feed best practices see, on average, a 5% increase in conversions the following month. Not from a new ad campaign. Not from a redesign. From describing their products more completely to the systems that now recommend them.
That quiet statistic points to a much bigger shift. More shoppers are asking AI to find products for them, in Google’s AI Mode, in AI Overviews at the top of search results, and inside chat assistants. The AI reads what it can find about your products, then decides what to recommend. If you sell anything online as a small business, this piece is about where that trend is heading and what you should prioritize over the next six months.
What Google just changed for sellers
In mid September, Google announced several updates aimed at the holiday season. Three of them matter most for small sellers:
- AI performance insights in Merchant Center. Merchant Center is Google’s free dashboard where shops upload their product catalog. The new insights, available in the US, Canada, Australia, New Zealand, and India, let you compare your share of voice (how often your brand appears compared with competitors) across AI Mode and AI Overviews.
- Conversational attributes. Sellers can now add product details written the way shoppers actually ask questions, such as who a product is good for or what problem it solves. Google said that in testing with one large retailer, these details were used about half the time in relevant AI Mode recommendations.
- Cart transfer. Through Google’s commerce integrations, a shopper can move from an AI conversation straight into a cart on the merchant’s own site, starting in the US, with other countries to follow next year.
As MediaPost observed, the overall effect is to shorten the path from question to purchase. Fewer clicks, fewer pages, and much less room for a shopper to stumble onto you by accident.
The bigger picture: discovery is moving from pages to answers
For twenty years, small online sellers competed for clicks. You wrote product pages, chased keywords, and hoped to land on page one. That game is not over, but a second game is starting beside it. In the new one, an AI assistant reads everything it can about your products and summarizes the best options in a single answer.
That changes what “good marketing” looks like for a solo shop in three ways.
1. Completeness beats cleverness
A witty product title might charm a human browsing your store. An AI deciding whether your candle suits “a gift for someone who hates strong scents” needs to know the scent strength, burn time, size, and ingredients. Missing details are invisible details. The 5% figure above is mostly about filling gaps, not about creativity.
2. You will be compared, constantly
Share of voice reporting exists because AI answers usually name several options side by side. Your product will rarely appear alone. That means your price, reviews, shipping times, and return policy all become part of the pitch, whether you wrote them with that in mind or not.
3. Your own site still matters, but differently
Cart transfer means the sale can still happen on your website. That is good news for small sellers who want to own the customer relationship. But the persuasion increasingly happens before the visit, so your site’s job shifts from convincing to closing smoothly: fast pages, clear shipping, simple checkout.
Where a solo seller should focus first
You do not need an agency or a technical team for any of this. Think of it as a short list of priorities, in order.
Priority one: get into Merchant Center and fix the warnings
If your store runs on Shopify, WooCommerce, or a similar store builder, there is usually a built in way to send your catalog to Google Merchant Center. Once your products are there, the dashboard tells you exactly which fields are missing or rejected. Fixing those warnings is the most direct route to the feed best practices behind Google’s conversion figure.
Priority two: rewrite descriptions for questions, not keywords
Take your ten best sellers. For each, list five questions a real customer has asked you by email or in messages. Then make sure the product description answers every one of them plainly. An AI assistant such as ChatGPT or Gemini can help: paste your description and your customer questions and ask it to find what is missing. This is exactly the kind of supporting work AI handles well, as our story about a solo jewelry maker who scaled her Etsy listings shows.
Priority three: make your proof easy to find
Reviews, ratings, and clear policies are now ranking signals for AI recommendations, not just reassurance for humans. Ask happy customers for reviews, display your return policy on every product page, and keep shipping estimates honest.
Priority four: check your share of voice once a month
Once AI performance insights are available in your account, set a monthly reminder to check how often you appear compared with competitors. You are looking for trends, not daily swings. If a competitor consistently shows up where you do not, compare their product details with yours.
What to watch over the next six months
This shift is still early, and a few questions remain open. Google has not shared much about how these AI placements will be measured for small advertisers, and many of the most powerful tools are launching first for larger retailers. Expect three developments:
- More AI placements inside ads. We covered the move toward ads you can talk to in Ads That Talk Back. Organic and paid AI visibility will increasingly blend.
- Feed quality as a competitive moat. Big brands will automate their catalogs. Small sellers who know their products intimately can still win on detail and honesty.
- Other assistants following Google’s lead. Meta and OpenAI are building their own shopping and business tools, as our comparison of Meta Muse and ChatGPT explored. The same groundwork, complete and accurate product information, pays off everywhere.
The one habit to start this week
If you only do one thing, do this: block one hour, open your three best selling products, and answer every question a stranger might ask before buying. Write the answers into the product details, not into a FAQ page nobody reads. That single hour makes your shop easier for both humans and AI to recommend, and it sets you up well before the holiday rush. If seasonal demand is already on your mind, the solo baker’s holiday story is a useful companion read.
Which of your products do you think an AI would describe least accurately today?
Related reading
- Ads That Talk Back: How Conversational AI Ads Will Change Small Business Marketing
- How a Solo Jewelry Maker Tripled Her Etsy Listings Using AI Photo Tools (An Illustrative Story)
- Meta Muse vs ChatGPT: Which Free AI Should Run a Solo Owner’s Social Media Marketing?
- How a Solo Baker Handled the Holiday Order Rush With AI (An Illustrative Story)
