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How to get products into ChatGPT: a catalog checklist

How to get products into ChatGPT: a catalog checklist

LA
Jedi Solomon
··4 min read

How to get products into ChatGPT comes down to two jobs you control: a clean catalog that meets the product feed spec, and pages and outside mentions that make an assistant willing to name your store. Start with the catalog this week. Errors there keep products out no matter what else you do.

Why ChatGPT shopping is worth an afternoon

Locus found in Q2 2026 that 45% of US online shoppers use an AI tool somewhere in the purchase journey. First Page Sage put AI-referred visits at 4.73% of US retail site visits in Q3 2026, up from 0.43% in Q4 2024, and reports they convert about 1.6x other traffic. Adobe measured AI traffic to US retailers up 393% year over year in Q1 2026, converting 42% better than non-AI traffic. Shopify said AI-driven traffic to its stores rose 8x in that quarter, and AI-search orders about 13x.

The share is still small next to Google. The visitors buy at a higher rate, though, and the curve is steep.

Fix the catalog first

ChatGPT shopping reads product data, so thin or broken data can keep a product out. OpenAI's product feed spec has 9 required fields. A product that lacks one is a product the feed cannot describe, so read the spec and check your export against every field before you do anything else.

On Shopify, the catalog needs four things:

  • A standard product category on every product
  • An image for every variant
  • A price above zero
  • Full shipping, return and refund policies

Sort your export by those columns. Products with a blank category or a placeholder price of $0 show up in minutes. Variants that share one hero image take longer to find, so filter by variant and scroll.

How to get products into ChatGPT, step by step

  1. Export your full catalog and check each product against the required fields in the spec.
  2. Fix gaps in the source system (the Shopify admin or your platform) so the fix survives the next sync.
  3. Publish shipping, return and refund policy pages and link them from the footer.
  4. If you are off Shopify, build the feed from OpenAI's spec and refresh it on a schedule.
  5. Ask ChatGPT ten buyer questions about your category and record which products and stores it names.

Step five gives you a baseline. Without it you will not know whether anything you changed made a difference.

Make your pages worth quoting

A feed gets the product described. ChatGPT product recommendations also lean on what the rest of the web says about you. Ahrefs, studying 75,000 brands, found that third-party brand mentions correlate 0.66 with AI Overview visibility, and backlinks correlate 0.22. Reviews on other sites, press coverage and forum threads where people name your brand all count, and you can ask for the first two.

On your own site, write guide pages that answer one buyer question in the first paragraph: which jacket for a rainy commute, or how long a return takes. Put the answer first and the detail after it. Ahrefs found in March 2026 that 38% of AI Overview citations come from the top 10 results and 31% from positions 11 to 100, so a guide page does not need a top ranking to be cited.

Keep product schema accurate, because it matters for Google rich results and for keeping price and availability consistent with your feed. It correlates only weakly with AI citations, so do not expect it to carry the work. Skip llms.txt. Google discourages the file.

What it looked like at JCS Fashions

JCS Fashions is a 4,878-product Shopify apparel store in Milpitas, California, and the first LynkAI customer. Between April and September 2026 it published about 290 quality-gated articles. By the end of that stretch, 233 guide pages earned impressions on 24,164 queries. Guide-page clicks went from 0 in February to 231 in August, and Google clicks went from 205 a month in January to 626 in September. Sessions from AI assistants rose from 20 in January to 569 in October.

The full numbers are on the JCS Fashions customer page. Catalog and feed work for stores is covered on the ecommerce page.

Check your own results

Ask ChatGPT, Gemini and Perplexity the questions your buyers ask, in their wording: "best waterproof jacket under $150" or "where to buy wide-fit work boots online". Note whether your products appear, which competitors do, and which pages get cited. Repeat monthly and keep the log.

If you also have a physical shop, claim your local listings. Gemini grounds local answers on Google Maps, while ChatGPT and Perplexity use Bing Places and Yelp.

To see where your store stands before you touch the catalog, run the free AI visibility scan. It gives you a starting point to measure every fix against.