Monetize AI chatbot conversations with native ads.

Prism helps publishers earn from chat sessions and helps advertisers reach users in high-intent moments. Ads appear as relevant recommendations, not disruptive banners.

How it works

1. Integrate the SDK — drop Prism into any chatbot framework (OpenAI, LangChain, Rasa, custom agents) with a few lines of code.
2. Context-aware ad matching — Prism reads the live conversation topic and serves a native ad that fits the moment, not a generic banner.
3. Earn from every conversation — publishers receive CPM + CPC revenue with monthly payouts; advertisers only pay for genuine engagement.

For Publishers

Set ad frequency caps, category filters, and pacing rules per chatbot. Track impressions, clicks, and quality signals in one workflow. Use contextual signals without relying on personal profile targeting.

For Advertisers

Reach high-intent users inside live chatbot conversations. Place ads when users are already discussing relevant topics. Run campaigns with placement controls and brand-safety preferences.

Features

• Publisher Controls — frequency caps, category filters, pacing rules
• Intent Matching — ads placed in topically relevant moments
• Advertiser Guardrails — placement controls and brand-safety preferences
• Fast Integration — deploy the SDK quickly
• Operational Visibility — impressions, clicks, quality signals
• Privacy-Forward Design — contextual signals, not profile-based targeting

Frequently asked questions

Will ads hurt my chatbot user experience?

Not if they are paced correctly. Prism is built for contextual placements with frequency controls so teams can keep the conversation quality high while testing monetization safely.

How long does integration take?

Most teams can get the SDK running quickly, then iterate on placement and pacing rules over time. You can start in a test mode before enabling broader traffic.

Which chatbot stacks are supported?

Prism can be used with GPT-based assistants, support bots, custom agents, and API-driven chat systems. The implementation model is SDK-first with flexible serving logic.

How do advertisers target campaigns?

Campaigns are matched to conversation context and topic intent instead of generic banner inventory. Teams can configure placement and category controls based on campaign goals.

Can publishers control what gets shown?

Yes. Publishers can apply frequency limits, topic restrictions, and guardrails so sponsored content aligns with brand standards and user expectations.

What about privacy and compliance requirements?

Prism is designed around contextual ad matching and operational controls so teams can implement privacy-first workflows appropriate to their regulatory environment.

Explore

• For Publishers — SDK install, pacing controls, revenue model.
• For Advertisers — intent-level targeting and brand-safety controls.
• Product — full platform overview.
• Use cases — supported chatbot types.
• Interactive demo — see the flow in under 2 minutes.
• Documentation — SDK reference and integration guides.
• Blog — strategy, monetization, and product updates.
• Ad policy — content and category restrictions.
• Company — about Prism.
• Contact — talk to the team.