The Rise of AI Search and Why Discovery Must Be Monetized Differently
AI search changes how users discover products and make decisions. This post explains why legacy ad models fail in AI interfaces—and how intent-based, outcome-driven monetization must evolve.
The AEO boom is just the beginning. The real opportunity is in powering agent-driven discovery with better infrastructure.
Last week, Tally — a no-code form builder — recorded a massive spike in new user registrations.
12,000+ new users in a single week.
The biggest driver? AI search traffic.
More and more people are discovering products not through Google, not through ads — but through agents like Perplexity, Claude, Gemini, and ChatGPT.
The graph speaks for itself:
Discovery is shifting away from traditional search engines toward conversational agents.
This shift is creating a new field: AEO — Answer Engine Optimization.
But here’s the deeper shift nobody’s talking about yet:
The agent economy needs a new way to handle monetization.
If users are discovering products through AI agents:
- How are those agents rewarded?
- How are brands connecting offers to real user intent?
- How do we keep discovery trustable without falling back into old ad-driven models?
That’s where AdMesh comes in.
AdMesh is building the open protocol that lets:
- AI agents recommend products based on real user queries
- Brands post CPA-style offers transparently
- Users get rewarded for genuine actions without giving up their privacy
Discovery is moving inside conversations.
Monetization needs to move with it.
We’re early — but the rails are already in place.
If you’re building for the AI agent economy —
whether as an agent developer, brand, or ecosystem partner — let’s connect.
Join the early access waitlist
The next search engine isn’t a site.
It’s a conversation.
And it needs better infrastructure.
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