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AI Commerce Score

See if AI recommends your store. Free score in 10s.

Most stores were built for Google and human shoppers, not for ChatGPT, Perplexity, or AI shopping agents. We scanned 66,000+ DTC stores and found the average AI Commerce Score is just 55/100. Enter your URL and get your score plus the 8 factors behind it: free, no signup, no credit card, results in about 10 seconds. Built by Atom Foundry, the team studying how AI systems decide which brands get recommended.

Top comment

Hey Product Hunt 👋

I'm Daniel, founder of Atom Foundry. We study how AI systems like ChatGPT, Perplexity, and shopping agents discover, evaluate, and recommend e-commerce stores, and realized most brands have no idea where they stand.

So we built a free scanner. Enter your store URL and get your AI Commerce Score plus the 8 factors behind it in about 10 seconds. No signup, no credit card.

We've already run this across 66,000+ stores. Average score: 55/100. Interestingly, store quality barely predicts AI recommendation, that's actually our biggest research finding so far.

Would love your feedback, especially if your score surprises you.

About AI Commerce Score on Product Hunt

“See if AI recommends your store. Free score in 10s.”

AI Commerce Score was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Most stores were built for Google and human shoppers, not for ChatGPT, Perplexity, or AI shopping agents. We scanned 66,000+ DTC stores and found the average AI Commerce Score is just 55/100. Enter your URL and get your score plus the 8 factors behind it: free, no signup, no credit card, results in about 10 seconds. Built by Atom Foundry, the team studying how AI systems decide which brands get recommended.

On the analytics side, AI Commerce Score competes within Marketing, Artificial Intelligence and E-Commerce — topics that collectively have 990.8k followers on Product Hunt. The dashboard above tracks how AI Commerce Score performed against the three products that launched closest to it on the same day.

Who hunted AI Commerce Score?

AI Commerce Score was hunted by Daniel Pokorný. 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.

For a complete overview of AI Commerce Score including community comment highlights and product details, visit the product overview.