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SchemaVision: AI search data in Shopify

Generate structured data for AI to understand your products

Marketing
SEO
E-Commerce
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Hunted byIvanIvan

Google and AI search engines read structured data, not images, to understand what a store sells. SchemaVision generates Schema org Product data for your catalog. It pulls fields like brand, price, availability, SKU, and GTIN from Shopify automatically. For missing descriptive fields, it reads the product photo to infer color, material, and pattern, and scores each by confidence so you review anything uncertain before it goes live. Structured data is added via a theme app embed and kept in sync.

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Hey Product Hunt! 👋 Second launch from me this month - I'm Ivan, building small AI-powered Shopify tools solo. This one came directly out of building the first one (AltVision, alt-text for product images). While digging into how AI search actually reads a Shopify store, I kept bumping into the same fact: Google and tools like ChatGPT don't really "see" your product photos. They read structured data - Schema.org, JSON-LD - to understand what you're actually selling. Price, brand, material, color, all of it. And most Shopify themes fill in maybe half of that. Brand, price, availability - sure, that's easy, it's already in your product data. But material? Color? Pattern? Nobody's typing that into a hidden field manually, so it just stays blank. Which means a chunk of your catalog is quietly invisible to rich results in Google, and to AI search entirely. So SchemaVision does the boring part automatically - pulls what Shopify already knows (brand, price, SKU, GTIN) straight in, no AI needed there. Then for the descriptive stuff that's actually missing, it looks at the product photo itself and fills in what it can see, with a confidence score attached - same philosophy as AltVision. If it's not sure, it doesn't guess silently, it waits for you. Honestly the trickiest part wasn't the AI piece - it was making sure the structured data doesn't clash with whatever your theme already outputs, and keeping price/stock synced automatically so it never goes stale. That's the part that took the most iterations to get right. Curious what you think, especially if you've ever run your store through Google's Rich Results Test and been surprised by what's missing. 🙏

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About SchemaVision: AI search data in Shopify on Product Hunt

Generate structured data for AI to understand your products

SchemaVision: AI search data in Shopify was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #121 on the daily leaderboard. Google and AI search engines read structured data, not images, to understand what a store sells. SchemaVision generates Schema org Product data for your catalog. It pulls fields like brand, price, availability, SKU, and GTIN from Shopify automatically. For missing descriptive fields, it reads the product photo to infer color, material, and pattern, and scores each by confidence so you review anything uncertain before it goes live. Structured data is added via a theme app embed and kept in sync.

SchemaVision: AI search data in Shopify was featured in Marketing (468k followers), SEO (38.1k followers) and E-Commerce (41.8k followers) on Product Hunt. Together, these topics include over 110.2k products, making this a competitive space to launch in.

Who hunted SchemaVision: AI search data in Shopify?

SchemaVision: AI search data in Shopify was hunted by Ivan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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