Prism is the ad network for AI chatbot conversations. Publishers earn from chat sessions; advertisers reach high-intent users with context-aware native placements that feel like recommendations, not banners.
Project Overview
Native Conversational Placements
Ads render inline with the assistant's response, matched to the conversation topic in real time. No display banners, no profile-based targeting — just contextually relevant recommendations users can choose to engage with.
Three Lines. Live Revenue.
The Prism SDK drops into any chatbot stack — GPT wrappers, LangChain agents, support bots, e-commerce assistants. Three lines, and conversations start carrying contextual ad inventory.
Key Features
Publisher Controls
Frequency caps, category filters, and pacing rules per chatbot. Publishers decide exactly when, where, and how often sponsored content appears — never at the cost of the conversation.
Intent Matching
Prism's matcher reads conversation context in real time and serves ads aligned to topical intent — not personal profiles. Higher engagement than display, without the surveillance.
Advertiser Guardrails
Placement controls, brand-safety preferences, and topic exclusions. Campaigns run only where they fit — protecting both the brand and the user's chat experience.
Fast Integration
Three lines of code, any framework — OpenAI, LangChain, Rasa, custom agents. Start in test mode, validate placements, then flip on broader traffic. No infrastructure rewrites.
Operational Visibility
Impressions, clicks, sentiment impact, and revenue tracked across every chatbot in your fleet. Dashboards for product teams; API exports for finance and analytics.
Privacy-Forward Design
Contextual signals from the live conversation — never personal profiles. Built so teams can meet GDPR, CCPA, and evolving AI compliance requirements without retrofitting.
From Integration to Income
Four moves to turn an AI chatbot into a revenue surface — without breaking the conversation.
Integrate in Minutes
Drop the SDK into any chatbot — three lines of code. Works with OpenAI assistants, LangChain agents, support bots, and custom AI stacks.
Context-Aware Matching
Prism reads live conversation topics and serves ads that feel like recommendations. Intent-level targeting beats banner CTR by an order of magnitude.
Revenue Flows Automatically
Publishers earn per impression and per click on a CPM + CPC model. Advertisers pay only for genuine engagement. Monthly payouts with full transparency.
Measure Everything
Real-time dashboards track conversions, sentiment impact, CTR, and revenue across the fleet. Export to BI tools or wire into your data warehouse via API.
Built for Two Sides of the Network
A single platform serving chatbot publishers who want to monetize and advertisers who want to reach high-intent users in real conversational moments.
For Publishers
Chatbot operators, AI assistants, and conversational products that need a revenue model that doesn't break the experience. Set frequency caps, category filters, and pacing rules per chatbot — track quality signals alongside revenue.
- ✓ Per-chatbot frequency caps and pacing rules
- ✓ Topic and category blocklists
- ✓ Quality signals, CTR, and revenue dashboards
- ✓ Monthly payouts with line-item transparency
For Advertisers
Reach users already discussing your category — the highest-intent surface on the open web. Run campaigns with placement controls, brand-safety preferences, and outcomes measured down to the conversation.
- ✓ Topical intent targeting (no profile data needed)
- ✓ Placement and category guardrails per campaign
- ✓ CPM + CPC pricing on real engagement
- ✓ Creative previews inside live chat surfaces
See Prism in Action
Walk through the interactive demo, browse the docs, or get in touch about a publisher or advertiser slot.