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Enterprise Layer Intelligence
Categories/Advertising/Koah
Koah

Koah

Founded by Mike Choi

Display contextual native advertisements inside conversational artificial intelligence applications and coding agents

Pricing model

Waitlist, Beta

Rating

★ Mixed Reviews / Emerging

You can use Koah to monetize conversational products by serving relevant native advertisements directly inside chat workflows and agent interactions. Developers install the software development kit to offset inference costs without degrading user trust. Koah matches user prompts, real-time context, and conversation history to select relevant sponsors at inference time. Advertisers can target buyers based on explicit first-party intent rather than outdated browsing cookies. The system supports multiple environments including coding agents, messaging interfaces, and web assistants, helping brands reach audiences during active research and decision phases.

What Koah does

Install the integration SDK into conversational softwareConfigure native ad placement slots within chat bubblesSet up advertiser targeting campaigns based on user intentTrack impressions and click-through rates across agent queriesDeliver real-time contextual sponsored prompts to active usersReview monthly advertising payout earnings from app trafficMatches ads based on real-time prompt intent at inference timeIntegrates native ad formats directly into conversation streamsSupports code editors, messaging agents, and conversational assistantsUses first-party conversational inputs instead of third-party cookiesProvides an installable software development kit for agent environmentsDelivers advertiser reporting on click-through rates and query matching

Pricing breakdown

Pricing model: Waitlist, Beta

Frequently asked

HubSpotHubSpot

Used by

Kamelia Johnson

Kamelia Johnson

Social Media Manager @ d

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Koah, native advertising, conversational ads, monetization, ad network, intent targeting, sponsored suggestions, inference costs, chat monetization, developer SDK, sponsored recommendations, agent ads