Shoppers do not type keywords into ChatGPT. They describe what they need. Lead Horse restructures your product feed so AI shopping systems can understand what your products are, when to show them, and why someone should click.
Toggle the card. Same product, two very different feeds.
A shopper may ask, "What is a good tote bag that can also be worn as a backpack?" If your feed only says "25L Convertible Carryall," the system has to connect the dots on its own. Give it the words, the use case, the color detail, the Q&A, and images that prove both carry modes, and you give it reasons to match your product to the right shopper.
Title, description, price, availability, product URL, image URL. That is enough to get a feed started. It is not enough to make a product easy to understand in ChatGPT Ads or AI shopping placements. These channels use fields and structure most Google Shopping feeds were never built around.
Your feed may need to define search eligibility, ads eligibility, and checkout eligibility per product. Checkout should stay off until fulfillment, policies, support, and order handling are ready.
Most brands treat eligibility like a technical setting. It is product selection, budget protection, and launch strategy built into the feed.
Not just "What is the capacity?" but the real buying questions that decide a sale. This gives the system more context around when your product should be recommended.
It may be technically correct, but a stronger variant structure describes the product the way a person looking at it would. That is more useful for product understanding, shopper expectations, and variant matching.
Your feed can clarify the buying intent behind a product: what it is, how it should be positioned, and which shopper need it should match.
This is not keyword stuffing. It is structured context.
Images help explain the product. The set should show tote mode, backpack mode, interior capacity, on-body scale, detail shots, and lifestyle use. Image order, additional image URLs, and even file naming all support product understanding.
Fields like Q&A, variant dictionaries, metadata, reviews, geo pricing, and availability may need to become real JSON objects, arrays, and booleans. A feed that looks organized is not always ready to submit.
{
"id": "ubp-25l-graypink",
"eligibility": { "ads": true, "checkout": false },
"accent_colors": ["pink", "light blue"]
}
Most brands stop when the feed uploads without errors. That is not enough. A feed can have valid product IDs, prices, URLs, images, and availability and still fail to explain the product in a way AI shopping systems can use.
Technical validity gets the feed accepted. Product understanding gives it a chance to perform.
We find every gap between how your buyers ask and what your feed says.
Lead Horse does more than clean up columns. We connect product data to buyer intent, feed structure, paid media strategy, image context, and launch priorities.
We help decide which products should be eligible based on demand, margin, seasonality, inventory, product clarity, image quality, and landing page strength.
We look at how customers actually describe what they need, then align titles, descriptions, Q&A, images, and metadata to that intent.
We replace vague internal product names with clear, intent-driven feed content built around how shoppers ask for products.
We clean up item IDs, group IDs, item group titles, variant dictionaries, display colors, primary colors, accent colors, and color descriptions.
We review main images, additional images, image order, image naming, lifestyle coverage, and whether the image set proves the product claim.
We help decide which products should be eligible for search, ads, and checkout, and which should stay out of the launch feed.
We check nested fields, arrays, booleans, required fields, empty values, product URLs, image URLs, price, availability, and upload risk.
Answer honestly. The score is a self-check, not an audit, but it shows where most feeds quietly lose performance before launch.
If you cannot answer yes to most of these, fix the feed before you fund the campaign.
You can use us for a focused audit, a feed rewrite, a launch-ready feed buildout, or a developer-ready handoff. Every engagement is scoped to what your feed actually needs.
Send us your feed, website, and the product or category you want to launch first. We will show you what is technically broken, what is strategically weak, and what needs to change before you spend.
We have your details and your answers. We will review your setup and reply within two business days to book a call and walk through the biggest risks.
Not always. You may be able to start with your existing Shopify or Google Shopping feed, but it usually needs to be adapted. Titles, descriptions, variants, images, Q&A, eligibility fields, and JSON structure often need work before launch.
Google feeds are a starting point, but AI shopping systems need more product understanding. Fields like Q&A, variant dictionaries, display colors, accent colors, image order, image naming, and eligibility settings can affect how well the product is understood and matched.
Usually, no. Start with the products most likely to convert. A smaller, cleaner launch feed is often better than a broad catalog dump.
The image itself matters most, but image names and URLs can support product understanding. A file named backpack-mode.jpg gives more context than IMG_4827.jpg.
Yes. We rewrite titles and descriptions around buyer intent, product function, and use case, not just internal product names.
Use-case Q&A answers shopping questions like "Is this good for commuting?" or "Can it be carried as a backpack?" It helps the feed explain when the product should be recommended.
Yes. We look at demand, margin, inventory, seasonality, image quality, landing page strength, and product clarity to recommend where to start.
We can audit the feed, clean the CSV, rewrite product fields, prepare JSON-ready data, create a validation report, or hand off instructions to your developer.
Yes, if needed. But the first step is making sure the feed is strong enough to support the campaign.
ChatGPT Ads can only work with the product data you give them. Make sure your feed is clear, structured, and built around the way your customers actually shop.