AgentVine
An ad network built for LLM-powered agents. Advertisers define structured product offers, and when those offers match what an agent is reasoning about, they can be surfaced as helpful suggestions inside the agent's response.
About
I invented and designed AgentVine, the first advertising network designed for LLM-powered agents. Instead of placing ads on screens, it inserts structured, intent-driven product suggestions directly into an agent’s decision-making process.
Developers can monetize agent behavior by inserting structured product offers into the agent’s reasoning process. So instead of interrupting users with banners, advertisers present offers in the moment of consideration.
The Problem
While developers continue to build more and more chat agents, there is no native monetization infrastructure for this new software paradigm. Developers pay for token usage, server costs, and time without clear revenue paths.
Meanwhile, traditional ad models do not work in agentic environments:
- There are no search results to sponsor.
- No screens to inject banners into.
- No attention to hijack with display ads.
The Old Model: Chasing Attention
The New Model: Guiding Decisions
How It Works
AgentVine connects the right offer to the right moment, inside agent reasoning. Developers can monetize their agent’s decisions, not their users.
AgentVine For Developers
The AgentVine Developer Dashboard gives developers full control over how and when monetized suggestions appear in their agents. They can decide where ads fit in the reasoning flow, and which categories to allow.
- Choose which categories and intents to allow.
- Control how offers are phrased.
- Set fallback behavior when no offers match.
Connect Any LLM-Based Agent
Connect any LLM-based agent to AgentVine in minutes. Define its purpose, supported contexts, and offer settings to start earning from in-flow decisions, no UI changes needed.
- Register your agent and describe what it does.
- Set category eligibility and user intent targets.
- Enable offer support with a single SDK call.
Fine-Tune How Offers Work
Developers can fine-tune how offers appear in their agent's reasoning flow. Control phrasing, timing, and category filters to keep suggestions relevant and non-intrusive.
AgentVine For Advertisers
Advertisers can connect their offer to moments of real intent. They can view eligibility across agent categories and track where their offers are active, giving them insight into reach, match quality, and the kinds of user intents their products align with.
- Check which agent types and intents your offer can match.
- View real-time performance by region, category, or app.
- Get suggestions to expand reach or improve targeting.
Define The Logic Behind The Offer
Advertisers can create structured suggestions that agents can reason about. They set the context, phrasing, and payout model, then let agents surface the product when it fits a user's goal.
- Choose the user intent and trigger conditions.
- Write suggested phrasing and call-to-action.
- Set your payout and target regions.
See Where Offers Appear
Advertisers can easily see where their offers are surfaced across the agent network, and track how they perform in real time.
Platform Walkthrough
Current Status
AgentVine is in public beta. You can connect it to any custom GPT on the OpenAI platform with just an Agent ID and Secret Key, no extra hosting or setup required. I’m actively onboarding early developers and advertisers to test the matching and payout flow.