New capability brings contextual product suggestions and monetization to every AI interaction
Dappier is now testing conversational commerce for partners using AskAI answer engine, enabling publishers and developers to generate revenue from product suggestions embedded directly within AI chat interactions.
Adding a commerce layer to AI agents, Dappier now makes it possible to serve contextual product recommendations in real-time.
As GenAI becomes the default interface for information discovery and decision-making, media companies and platforms are looking for monetization strategies native to this new format. Dappier’s conversational commerce feature meets that need, allowing publishers to deploy intelligent AI agents that not only engage users but also drive measurable outcomes.
The new feature uses Dappier’s AI classification model to semantically analyze both the content of the page and the live user conversation. This dual-context signal enables agents to surface relevant product suggestions dynamically within chat, improving ad targeting precision for higher-yield monetization.
This update builds on Dappier’s broader monetization stack, which includes:
- Internal content recirculation
- Agentic ads—contextual placements triggered by conversation and page content
- Real-time syndication of publisher data via the Dappier Marketplace
AskAI agents can be deployed in a variety of formats—including in-article widgets, full-page agents, and even interactive IAB ad units. As with all AskAI deployments, there’s no engineering lift required for publishers. The experience is turnkey, white-labeled, and fully aligned with the publisher’s existing content and monetization strategy.
With this release, Dappier continues to equip publishers and developers to:
- Add new revenue streams within AI-native user experiences
- Increase engagement by responding to user intent in real time
- Stay competitive as the internet shifts from search and static pages to conversation and agents
Learn more or schedule a demo at dappier.com.