Make your product feed visible to AI shopping agents
Your titles and descriptions were probably never written to Google's spec. And the fields AI agents read (material, product details, age group, highlights, FAQ) are sitting empty. Connecting UCP Radar to Merchant Center is one click. It then works through the catalog, flagging what breaks GMC rules and what hides you from AI shopping assistants, rewriting weak titles and filling the blanks. Brand names it leaves alone. Out comes a supplemental feed Google, Perplexity and ChatGPT can read.
Hey Product Hunt.
18 years in digital marketing, most of it running paid ads and Google Shopping for ecommerce clients. Product feeds were always the boring part of that job, and always the part that decided whether a campaign worked.
The pattern I kept hitting: merchants assume the feed is fine because Google accepted it. Accepted is a very low bar. Titles get written for a human browsing a category page, not for how Google matches queries. Descriptions are whatever the CMS spat out. And the attributes that actually carry meaning, material, age group, and the newer AI-facing ones like product highlights, product details, product Q&A, sit empty. Google never rejects you for it. It just shows someone else.
Then last year clients started asking why ChatGPT recommended a competitor instead of them. Same half-empty feed. Except in Shopping you can raise a bid to compensate, and here there's nothing to raise.
So I built UCP Radar. Connect Google Merchant Center in one click and it scores every product against 50+ GMC and +35 UCP (Universal Commerce Protocol) rules, then again on how readable it is to an AI agent. It rewrites the titles and descriptions, fills the empty fields, and publishes a supplemental feed that Google, Perplexity and ChatGPT pick up on their own. Prices and stock still come from your store.
The hard part wasn't getting the AI to write. It was getting it to stop. Early versions would "improve" a brand name or reword a model number, which in a product feed is a disaster. Most of my build time went into the Brand Protector.
Free 7-day trial, up to 50 products, no credit card.
One question for the ecommerce people here: have you checked whether ChatGPT or Perplexity can find your products yet? Curious what you're seeing.
About UCP Radar on Product Hunt
“Make your product feed visible to AI shopping agents”
UCP Radar launched on Product Hunt on August 6th, 2026 and earned 87 upvotes and 2 comments, placing #17 on the daily leaderboard. Your titles and descriptions were probably never written to Google's spec. And the fields AI agents read (material, product details, age group, highlights, FAQ) are sitting empty. Connecting UCP Radar to Merchant Center is one click. It then works through the catalog, flagging what breaks GMC rules and what hides you from AI shopping assistants, rewriting weak titles and filling the blanks. Brand names it leaves alone. Out comes a supplemental feed Google, Perplexity and ChatGPT can read.
On the analytics side, UCP Radar competes within Artificial Intelligence, E-Commerce and Marketing automation — topics that collectively have 521.7k followers on Product Hunt. The dashboard above tracks how UCP Radar performed against the three products that launched closest to it on the same day.
Who hunted UCP Radar?
UCP Radar was hunted by Kamil Yuksel. 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 UCP Radar including community comment highlights and product details, visit the product overview.
Kamil Yuksel