How it works

You write the AI app.
We write the revenue.

Every AI response your users get is a monetization opportunity. AgentAds captures it in under 50ms — without touching your code, your UX, or your users’ trust.

The sequence

50ms. Every response. Every dollar.

0ms

Your user asks a question

The moment your LLM receives a query, AgentAds fires a parallel bid request. Your AI response starts generating normally — nothing changes for your users.

1ms

We understand the intent

The query is classified into a commercial category in real-time. "How do I deploy Next.js?" becomes a signal for hosting and developer tools advertisers. Results are cached — repeat queries are instant.

5ms

Advertisers compete for your user

Active campaigns bid in a real-time auction. The highest contextually relevant bid wins. Your user was already valuable — now you’re paid for it.

41ms

The winning ad is appended

A single labeled "Sponsored" card appears after your AI response. One advertiser. Relevant. Clean. Not injected into your content — added after it.

You just earned $0.012
50ms

Hard stop — always

If the auction doesn’t finish in 50ms, it’s cancelled. No ad. No delay. No impact on your user. Your LLM response is never held hostage to an auction.

The math

What 1,000 users is worth.

Advertiser pays per 1,000 impressions

$15

at $15 CPM

You keep

$10.50

70% revenue share

AgentAds platform fee

$4.50

30% — covers auction + hosting

At 10,000 AI responses per month — realistic for a small assistant — that’s $105/month with zero additional work. At 100,000 responses, it’s $1,050/month. Paid monthly via Stripe.

Privacy

We don’t track your users.
Ever.

Contextual targeting means we match ads to what the user is asking — not who they are. No profiles. No cookies. No behavioral data. Your users’ privacy stays intact. Your GDPR compliance too.

What we use

  • The anonymized query (hashed, not stored)
  • IAB category derived from query
  • Impression count per session (no PII)
  • Your publisher ID and payout total

What we never touch

  • ×Raw query text stored long-term
  • ×IP addresses or device fingerprints
  • ×User profiles or behavioral history
  • ×Cross-app or cross-site tracking

Coming next

Agent-to-agent ads.
The next frontier.

When your AI agent calls another AI agent — a research tool, a booking service, a data provider — that handoff is also a moment of intent. AgentAds will monetize machine-to-machine interactions, not just human-to-AI ones.

Orchestrator → Sub-agent

When your planning agent delegates to a specialist agent, ads surface as tool recommendations the sub-agent can act on.

Tool calls

Every time an agent calls an external API or service, there’s a sponsored alternative that might be a better fit.

MCP & A2A protocol

We’re building native support for Model Context Protocol and Google’s Agent-to-Agent standard as they emerge.

Ready to start?

5 lines of code. First auction running today. No credit card required.