how do you get chatgpt and perplexity to recommend your products?
AI platforms cite stores based on clear data and authority, not ad budget. Here’s what actually drives that.
A customer asks chatgpt for “the best running shoe for flat feet under €120”. Which brand shows up in the answer isn’t random, and it isn’t an ad slot you can buy. It’s the result of how recognizable and factually correct your product information is across the web.
where does an ai model pull these recommendations from?
From a mix of your own product pages, review sites, comparison articles, and, since Summer ’26, directly from your Shopify catalog via the Universal Commerce Protocol. The more consistently the same facts about your product show up in multiple places, the sooner a model treats them as trustworthy.
does brand recognition count, or only data?
Both, but data weighs more heavily than most brands expect. A smaller brand with exact specifications, current pricing and concrete reviews gets cited more often than a well-known brand with vague product descriptions and stale information.
what can you already do today, without waiting for new features?
Make sure your most important products say the same thing everywhere: the same specifications on your site, in your feeds, and on review platforms. Add concrete, verifiable details (material, dimensions, what it’s suited for) instead of marketing language with no substance.
| signal | increases odds of being mentioned | decreases odds of being mentioned |
|---|---|---|
| product specifications | concrete and complete | vague or missing |
| price and stock info | current and consistent | stale or inconsistent across channels |
| reviews | specific, with detail | generic or absent |
| content structure | direct answers to questions | long intros with no clear point |
five concrete steps
- ✸Compare your product copy on your own site with what marketplaces and review sites say about the same product
- ✸Fill in missing specifications, even the boring ones, like exact dimensions and material
- ✸Collect reviews that mention concrete details, not just a star rating
- ✸Write a short, direct answer at the top of each product page to the question “is this suited for…”
- ✸Repeat this check every quarter, prices and stock change faster than your content does
frequently asked questions about ai platform recommendations
can I pay for this, like with google ads?
Not in the same way. There are no paid ad slots inside these answers; visibility comes from data quality and authority, not a bidding system.
does it help to test with chatgpt myself?
Yes, ask the questions your customers would ask and see which brands get named. That shows you where you stand and what the named competitors are doing better.
does this differ per ai platform?
Yes, each platform combines its own sources and weightings. Consistent, factual data everywhere increases the odds you show up across multiple platforms at once.
should I worry about a model giving wrong information?
That risk exists, especially with outdated or conflicting data. It’s an extra reason to actively maintain your product information, not fill it in once.
does this work for small, niche stores too?
Often better, actually. Less competing content about a specific product means less noise for the model to filter through.
“You don’t need to become a bigger brand. You need to become the easiest brand to cite.”