Most ads don’t fail because of targeting. They fail because people don’t notice what matters. We help you fix that before you launch. Upload your creative and instantly see: 👀 Attention heatmaps: where people actually look 📊 Attention Score (0–100): how strong your creative is ⚡ Actionable suggestions: what to fix (CTA, layout, text) 🔁 Variant comparison: pick the winner before spending 👉 Instead of guessing or relying on “looks good” you’ll know what works before spending a single dime
We're about to start running ads and this would have saved us a lot of wasted budget on creatives that "looked good" internally but nobody actually looked at the CTA. The attention heatmap is really clever - knowing where people's eyes go before you spend money is way better than A/B testing in production with real budget. The variant comparison feature is huge too, we always argue internally about which version to run and it usually comes down to whoever talks loudest. Does the model account for different platforms? Like attention patterns on an Instagram story vs a Meta feed ad vs a Google display banner are probably very different.
The 'looks good' gut-check problem is real, I've been designing my App Store screenshots based on pure instinct and hoping for the best.
As an indie maker about to launch my first iOS app, could GazeIQ work for App Store creatives and screenshots, or is it primarily built for social media and display ads?
This is interesting because most tools tell you what happened after the campaign.
This flips it to before you spend, which is where most of the waste actually happens.
I tried it on a couple of creatives and it was a bit eye-opening. Things that felt “clean” visually weren’t really guiding attention where I expected.
Feels especially useful for quick iterations when you’re testing multiple versions.
Tried this out recently and found it surprisingly useful.
What stood out was how it separates “looks good” from “actually guides attention.” A couple of creatives I thought were solid had key elements getting completely ignored.
The heatmap + score combo makes it easy to quickly sanity check before running ads. Feels more like a pre-launch filter rather than another analytics tool.
Curious to see how it performs across different industries and ad formats, but definitely feels like something marketers can plug into their workflow 👍
Hey everyone 👋
I’m Karan — maker of GazeIQ
I kept running into the same frustrating loop:
Design an ad → feel confident → launch it → …and then realize it didn’t perform.
Not because of targeting. But because people never noticed what actually mattered. And by then, the budget was already gone.
That’s why I built GazeIQ.
👉 What if you could test attention before spending money?
With GazeIQ, you can:
Upload any ad creative
See exactly where attention goes first
Get a simple Attention Score (0–100)
Fix weak spots before you launch
No more guessing. No more “this looks good to me.”
💡 The goal:
Catch weak creatives early — before they burn your budget.
Would genuinely love your feedback 🙏
What would make this a must-use for you?
Would you trust an attention score before launching?
What’s your biggest pain with ad creatives today?
Building this in public — your input would mean a lot 🚀