Interactive demos

Intent monetization, on every surface

See how Zyntent detects purchase intent and renders a native offer — in chat, search, communities and content. No redirects, no banners, no UX disruption.

Step 01

Detect intent

Every message, query or comment is analyzed for purchase intent — explicit or latent. Zero-shot, no user data stored.

Step 02

Match offers

Intent is matched to the highest-relevance offer in the merchant network in real time — under 50ms, no legacy DSP.

Step 03

Render natively

A native card appears inside the surface — a product suggestion, not a banner. No redirects, no UX disruption.

Choose a surface

33 live integrations

AI & chat

Native offers rendered inside AI answers and assistant replies.

Messaging

Bot and business-API placements that read as helpful replies.

Communities & comments

Contextual cards inside forums, Q&A and comment threads.

Search

Intent captured the moment a query is typed.

Content & media

In-content and streaming surfaces that keep the reading flow.

Commerce & distribution

Shopping surfaces, price comparison and OEM channels.

Integrate

The primitives you drop into any product.

LLM apps

Sponsored answers inside AI chat

LLM Applications

AI chatbots with intent targeting and sponsored answers

AI Assistant

Powered by GPT-4 + ZeroVisual

Hi! I'm an AI assistant with image generation and shopping recommendations. How can I help you today?

An AI assistant answers the question normally, then Zyntent appends a native offer that matches the detected intent — no banner, no redirect, part of the reply.

How it works

  1. Each user turn is scanned for purchase intent (e.g. 'best laptop for programming' → electronics + shopping).
  2. The matching offer or review link is pulled from the merchant network in real time.
  3. It renders inside the assistant's reply as a native card, clearly labeled Sponsored.

Why it works

Intent-based placement inside AI answers converts far better than display ads (4–6% CTR vs under 0.1%) because the user is already asking to buy. Works with ChatGPT, Claude, Gemini or any custom model.

zyntent.analyze({
  turn: "what's the best laptop for programming?"
})
→ { intent: "electronics", confidence: 0.92 }