Turn AI shopping intent into revenue.
A shopper's AI agent evaluated your product. They didn't convert on the spot — most never do. But their intent is now a signal you own: budget, feature priorities, competitive context. Build re-activation audiences from that intent and push them straight into the ad networks your team already runs.
the networks
you already use
Same pixels. Same campaigns. Now with audiences built from real AI shopping intent — not just page views.
Every merchant knows the pain. Now it has a new shape.
A shopper browsed, didn't buy, left — the classic cart abandonment pattern every ecommerce operator has fought for a decade. The traditional fix: retarget them with the thinnest signal available. A page view. A product ID. Maybe a category.
AI agent evaluations carry 10× the signal depth. Budget ranges. Feature priorities. Who they compared you to. Which platform they used. When they're most likely to convert. That context is abandoned every time a shopper doesn't purchase — just like a cart.
Recover it the same way you recovered carts. With better targeting, because the signal is richer.
- One product ID
- Visit timestamp
- Category
- —
- —
- Cookie required
- Budget range
- Feature priority
- Use case
- Competitors considered
- Platform + urgency
- First-party signal
Three systems turn abandoned intent into recovered revenue.
Audiences built from intent signals. Activated on the ad networks you already run — Meta, Google, TikTok, Amazon. Attribution that closes the loop end-to-end.
Shopper evaluates you. Shopper leaves. Shopper comes back and converts.
A shopper asks ChatGPT for wireless earbuds under $100. Your product comes up. They visit your page, browse, but don't pull the trigger.
Your Intent Graph has captured the full evaluation: category, budget, feature priority, platform, urgency. A Meta audience populates automatically: "AI-evaluated · audio · $60–100 · bass-priority · ChatGPT-referred."
Three days later, Meta serves your ad: "Your top pick is 20% off this week." The shopper clicks. The purchase happens. Attribution traces it back to the ChatGPT visit that started everything.
Six merchant outcomes from abandoned intent.
Audiences from intent, not page views
Traditional retargeting uses a visit. Intent-driven retargeting uses the full shopping conversation — 10× the signal depth, 3× the ROAS.
Meta, Google, TikTok, Amazon
The networks your team already runs. We sync audiences in; conversion data flows back out. No new ad stack, no new contracts, no new dashboards to learn — just a new lens on who to target.
Privacy-native by default
First-party signals from your own edge layer. No cookies, no tracking pixels, no third-party data deprecated by browsers. Built for the post-cookie era because it doesn't need them.
First-party signals that compound
Every agent visit enriches your audiences. Every conversion trains the model. Last month's campaigns are tomorrow's optimization — your advantage grows.
Intent-level creative customization
Not just "wireless earbuds." Different creative for $60–$100 bass-priority runners vs. $200+ noise-cancelling travelers. Creative matches the shopper's actual evaluation.
Full-funnel attribution
Trace every conversion back: which AI platform sent the agent, which intent signal tagged the shopper, which ad creative closed the purchase. The full loop, measured.
Every evaluation is a recoverable conversion.
Keep the ad networks you already run. We add the lens — intent-targeted visibility that turns agent evaluations into audiences, creative, and revenue you can measure end-to-end.