Koah is an AI-native ad network that provides publishers with tools to monetize their AI applications through contextual sponsored advertisements while enabling advertisers to reach highly engaged users within AI conversations. Founded by Koah Labs Inc. and backed by Theory Ventures, Forerunner Ventures, and South Park Commons, the platform serves millions of users across leading AI applications including DeepAI, Luzia, Particle, and INLINE AI.
How It Works
- Publishers integrate Koah's lightweight SDK into their application with a few lines of code. Koah then handles ad selection, rendering, and tracking automatically, placing contextual ads inside chat and agent experiences without breaking the conversational flow.
- Advertisers create campaigns on the Koah platform targeting specific topics and high-intent queries. Koah serves their sponsored content as native ad formats directly inside AI responses, with clearly labeled sponsored units.
- The platform supports multiple ad formats including Action Cards with concise messages and calls to action, Image Cards pairing ad copy with product images, Polls for interactive brand engagement and sentiment gathering, and Expandable ads that start compact and reveal longer-form content on click.
Key Features
- Lightweight SDK supporting JavaScript, React, React Native, Flutter, iOS, and Android platforms with integration possible in minutes.
- Contextual ad placement that matches advertiser content to relevant user queries inside AI conversations, with millisecond response times that preserve application performance.
- Privacy-safe targeting with ads served from encrypted servers, respecting user privacy while delivering relevant sponsored content.
- Full-funnel reach capturing customers across top-of-funnel, middle-of-funnel, and bottom-of-funnel stages through cross-platform inventory across multiple AI applications.
- Real-time reporting and performance visibility with data transparency for both publishers and advertisers.
- Content policy defining prohibited ad categories with enforcement guidelines to maintain brand safety.
Use Cases
- AI chatbot and assistant builders monetize user conversations without disrupting the experience, earning revenue from every engaged user. Publishers maintain control over ad placement and formatting while accessing analytics about ad performance.
- Brands and advertisers reach high-intent AI users during active information-seeking moments. Koah reports that advertisers achieve four times higher click-through rates compared to traditional display ads and can launch campaigns in under five minutes.
- AI applications across industries generate sustainable revenue while maintaining user retention at 99.9 percent, with five times higher payouts compared to alternative monetization methods according to platform data.
Integrations
- SDK support for web (JavaScript, React), mobile (React Native, Flutter, iOS, Android), and AI agent frameworks.
- REST API for managing publishers, pulling reports, and conversion tracking with event types including purchases, sign-ups, and custom conversion events.
- Publisher ID system that enables applications to fetch relevant ads from the Koah network.
Privacy and Security
- Ads served from encrypted servers with privacy-safe targeting that does not rely on personal user data.
- Content policy enforcement with prohibited ad category guidelines to ensure brand safety across all placements.
- Ad units are clearly labeled with sponsored indicators to maintain transparency for end users.
