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Aeris
Optimize Google, Meta & TikTok - and win AI search
Aeris helps retailers and brands turn first-party shopping data into incremental sales across the open web, paid channels, and AI answers.
Hey PH, John here. This is my fourth startup. Two of the last three got acquired, one taught me a lot the hard way.
I kept running into the same thing with every brand I talked to: they're pouring money into ads but can't tell you how much of it actually turned into sales. Everyone's staring at clicks and impressions. Meanwhile they've got one person flipping between Google, Meta, and TikTok all day, and none of those platforms are really on the brand's side — they each want more of the budget for themselves.
And then there's the new thing nobody's ready for: people are literally asking ChatGPT what to buy now. If your products aren't in those answers, you're just invisible there.
So we built Aeris. The reason I think we can actually pull this off is kind of unusual. We didn't start as an AI company looking for data to train on. We spent years running our own consumer shopping services first — that's where the $200M+ in sales and 20M+ shoppers come from. So the data Aeris runs on is real buying behavior we own, not some third-party list everyone else also rents.
Honestly the product changed a lot along the way. I thought we were building a smarter ad optimizer. The thing that actually mattered was that Aeris doesn't care which channel wins — it just moves the money to whatever's converting. Once we leaned into that, it clicked.
You can connect it read-only, free, no card, and just see where your spend is leaking and where you're missing in AI search before you change anything.
Would really love brutal feedback, especially if you do marketing for a brand or retailer. What's missing? What would actually make you try it?
tryaeris.ai
About Aeris on Product Hunt
“Optimize Google, Meta & TikTok - and win AI search”
Aeris was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #126 on the daily leaderboard. Aeris helps retailers and brands turn first-party shopping data into incremental sales across the open web, paid channels, and AI answers.
On the analytics side, Aeris competes within Marketing, Advertising and Shopping — topics that collectively have 495.9k followers on Product Hunt. The dashboard above tracks how Aeris performed against the three products that launched closest to it on the same day.
Who hunted Aeris?
Aeris was hunted by John Ahn. 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 Aeris including community comment highlights and product details, visit the product overview.
John Ahn