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The ad platform for AI

The infrastructure behind advertising’s next medium.

AI surfaces and AI agents are where buyers now think out loud. Adgentek is the ad server for that world: one infrastructure that monetizes the conversation on one side and sells the outcome on the other.

01 If you build AI apps

Monetize every high-intent conversation without breaking the experience your users came for.

AI Surfaces 02 If you're a brand or agency

Reach buyers inside the conversation, at the moment they say what they need, and pay for outcomes.

Advertisers
Return on ad spend
50% above target
Across early pilots, measured against each brand's declared goal.
Engagement vs. display
3-8x
Because a placement you can question beats one you can only watch.
Click-to-convert
1.5x stronger
Buyers arrive pre-qualified by their own answers.
Per session
3.2 interactions
Average guided-Q&A depth in a single conversation.

The platform

Two customers. One ad server.

Publishers need their conversations to pay for themselves. Advertisers need the moment of intent. The same decisioning engine serves both, built from scratch for AI, not retrofitted from display.

For publishers AI Surfaces

Your best conversations are worth money. Today they earn nothing.

Chatbots, AI search, assistants, AI-powered apps. Wherever users think out loud, the Agentic Ad Server drops in native, context-matched advertising, under 300ms, never in front of your model call.

Monetize your AI app
For advertisers AI Agents

Be the answer when a buyer asks the question.

When an agent researches, compares, or prepares to buy for a user, your campaign arrives as interactive, brand-authored decision support, with attribution complete on every exchange.

Reach buyers in AI

Core product

An ad server built for conversations, not web pages.

Legacy ad servers read URLs, device IDs, and cookies. None of those exist inside an AI app. The Agentic Ad Server reads the thing that does: the conversation itself.

Real-time semantic analysis of what the user is asking, matched to demand from a four-tier waterfall. Only derived signals, categories, keywords, intent classes, ever leave the publisher's environment. Raw prompts never move.

Demand
Four-tier waterfall
Direct campaigns, Programmatic, CPC feeds, API/CPA. A request that misses the top tier keeps falling until it finds a buyer.
Matching
Nine-bucket intent
OpenRTB 2.x compatible, with conversational-context extensions, the buyer signal display never had.
01AdsMCP

Any MCP-capable AI app connects to live demand in minutes. Zero SDK, zero tag management.

adsmcp.ai
02SDK

Lightweight JavaScript or Python. Same demand, same matching, same reporting, for apps that skip MCP.

03Direct API

RESTful access for enterprise deployments and custom agent architectures. Full control, end to end.

How it works

From spoken intent to counted outcome.

Four steps, every time. Each one leaves a record, so a placement can always be traced back to the moment that earned it.

01

The user asks AI

“Best SUV for my family.” “Mattress for side sleepers under $2K.” A person or an agent states a need, with constraints attached.

02

The server matches intent

Conversational context is analyzed in real time and matched against the highest-relevance advertiser in the demand network.

03

The ad joins the conversation

A native, brand-authored unit appears in the flow. The user self-qualifies through guided Q&A: product type, budget, features.

04

The outcome is counted

The user is driven to conversion with full attribution, and the brand captures first-party intent data on every interaction.

See it live

Don't take the format on faith. Click through it.

Interactive demos with working Q&A trees, pick a chip, type a question, watch the placement qualify.

Auto demo Mattress demo

Built for

Every player in the AI advertising chain.

01AI app publishers

Native formats, semantic matching, full control. Revenue without UX compromise.

AI Surfaces 02Advertisers

Interactive, intent-matched placements that capture intent and drive conversion.

Advertisers 03Agencies

A new high-performance channel, plus outcome-declared buying through ORCA.

For agencies

The agentic era is here. Build on it.

Contact Us hello@adgentek.ai

FAQ

Common questions.

What is Adgentek?

Adgentek builds the Agentic Ad Server: an ad server designed natively for AI Surfaces and AI Agents. Publishers use it to monetize high-intent AI interactions. Brands use it to reach buyers at the moment of decision.

How does Adgentek monetize AI Surfaces?

AI apps generate high-intent interactions as users research purchases and compare options. The Agentic Ad Server delivers native, contextual advertising inside those apps, matched to conversation context in real time. Publishers keep full control over formats, placements, categories, and brand restrictions. Integration runs through AdsMCP, the SDK, or direct API.

What is agentic advertising?

The phase of digital advertising where AI agents research, compare, negotiate, and transact on behalf of people and brands. Instead of humans clicking ads, agents evaluate structured advertising as decision support. Adgentek builds infrastructure for today's conversational surfaces and tomorrow's agent-to-agent transactions.

How do brands advertise inside AI?

Brands reach buyers inside AI conversations at the exact moment of purchase intent. Interactive placements let users self-qualify through guided Q&A, and every response is brand-authored, zero hallucination. Granular intent data (product, budget, features, timeline) flows back with full attribution, across ChatGPT, Claude, Gemini, Copilot, and other AI surfaces.

What is the Agentic Ad Server?

An ad server built natively for AI Surfaces and AI Agents. Where legacy servers process page URLs and device IDs, it processes conversational context: real-time semantic analysis of user intent, entity extraction, and contextual matching.

What is AdsMCP?

One integration path into the Ad Server: a remote-hosted MCP server on Cloudflare Workers at the global edge. Any AI app that supports Model Context Protocol connects to live demand in minutes, zero SDK. Learn more at adsmcp.ai.

How does Adgentek protect user privacy?

Structurally, not just by policy. Only derived signals, IAB content categories, extracted keywords, intent classifications, reach demand partners. Raw conversational prompts are architecturally incapable of leaving the publisher's environment in their original form.

What is MCP in advertising?

MCP (Model Context Protocol) is the open standard that lets AI agents and applications talk to external tools and services. Adgentek uses it to connect AI apps to live ad demand. FreeWheel and NBCUniversal executed the first agent-to-agent media transaction via MCP in January 2026.