Ads for agents

The advertising platform for the agentic internet.

AI agents are becoming a key channel for brand discovery and consideration. Adacious makes ads readable by AI agents, so your brand is considered before the agent responds.

Create, optimize, deliver and measure agent-native ads that are clearly labeled and relevant to the conversation, and project how an ad will perform on a given prompt before you commit spend.

Ordinary brand reach Ads ignored by the agent
Advertiser
User
With Adacious Relevant message, inside the agent experience
Advertiser
Adacious
AI agent
User
Adacious equips the agent experience with a relevant ad message. The agent remains the interface to the user behind the request.

Labeled. Relevant. Never hidden.

Every Adacious ad is clearly marked as sponsored and relevant to the context where it appears. Agents and the people they serve can always tell what’s paid. We help brands earn a place in the agent’s answer, not trick their way into it.

AI agents changed the path to the user. Advertising infrastructure has to change with it.

Brands lose visibility when discovery and decisions move into agent experiences.

Publishers serve growing agent traffic without ad formats designed to monetize it.

From a brief to measurable outcomes.

Adacious handles the path from creating the message to understanding how it performs—across the emerging agent ecosystem.

  1. 01

    Create

    Automatically create ad content from your brand, goals, and audience.

  2. 02

    Optimize

    Continuously improve content for the prompts, agents, and audiences that matter.

  3. 03

    Deliver

    Distribute through SSPs or our direct supply partners.

  4. 04

    Measure

    See actual performance and use it to guide what comes next.

Know what worked.
See what could.

One view connects live campaign results with projected outcomes for the prompts your team writes—or the prompts Adacious suggests.

Actual performance Live

Report real-world results from placed ads.

Projected performance Projected
“What should I bring on a three-day city trip?”

Evaluate client-written or Adacious-suggested prompts before committing spend.

Example

An AI agent is planning someone’s three-day city trip and reads a travel publisher’s packing guide.

Today

The agent never loads the banner for a brand’s rain shell. The publisher earns nothing.

With Adacious

The SDK embeds a labeled, agent-friendly version of that ad in the page content. The agent can consider it, the brand reaches the trip planner, and the publisher gets paid.

Earn from the AI traffic you already serve.

AI agents read your pages every day, but they never load your ads. The scripts that serve banners aren’t run, so from the agent’s side there was never an ad at all. That traffic costs you bandwidth and earns you nothing.

The Adacious SDK changes that. It places a clearly labeled, agent-native ad in the page content itself, where agents actually read.

  • Ads built for agents, not repurposed banners
  • Connected to advertiser demand
  • Reporting on which agents saw which ads
Request a demo

What makes Adacious different

Built by people who’ve scaled ad businesses

Our founders previously served as Head of Global Partnerships at Meta and Head of SMB at Twitter (also Google and Amazon), and as Director of Engineering at MongoDB (also Meta; Harvard).

We’re looking for design partners.

Brands and publishers who join now help shape how advertising works when agents do the browsing.