Make Commerce Conversational
Add Churp to your website for better customer experiences.
The Schema for Conversational Commerce
An open source schema for AI systems to understand, present and interact with products and services across the web.
Why Churp Exists
Addressing the needs of AI in commerce.
Data Hallucinations
Without structured data, AI systems can fabricate key details, leading to dangerous and unethical situations in commerce.
Inaccurate Pricing
AI systems misread or miss offers and bundles without exposed logic, causing pricing inaccuracies.
Failed Media Rendering
Images are often not displayed by AI systems, which then show unrelated or competitor images.
Hidden Key Data
Crucial information is frequently missed by AI systems due to content being spread across multiple pages.
Compute Inefficiency
Processing raw web content dramatically increases computational cost and latency for AI systems.
Dependency Blindspots
Inability to understand dependencies and components often leads AI systems to mislead customers.
What Churp Offers
A smarter way to share product and service information.
Semantic Parsing
Improves the clarity of the data, reducing hallucinations and improving customer experiences.
Clear Commerce Logic
Represents bundles, variants, add-ons, pricing and offers with exposed logic for accurate interpretation.
Intent-Linked Actions
Provides seamless access to commerce functions like checkout and bookings for fast transactions.
Compliance & Ethics Signals
Exposes region, age and ethical constraints or rules to ensure AI systems act safely and responsibly.
Lightweight Data Structure
Minimal nesting reduces complexity and ambiguity, improving understanding and efficiency.
Relationship Mapping
Clarifies dependencies and requirements to prevent customer misunderstandings.
Policy Clarity
Clarifies terms like return windows and warranties to meet legal requirements and avoid confusion.
Support Pathways
Surfaces how and when to reach support, with direct access to relevant channels.
UX Preferences
Provides presentation data to match brand tone and style, creating a consistent customer experience.
You Might Be Asking
Answers to common questions about the format.