Just 2 lines of code
Turn intent into pipeline
Deliver product content instantly, educate buyers in real time, capture leads, setup meetings and convert website engagement into qualified buyers — all from just 2 lines of code.
Features
Secure knowledge base
Power conversations across secure, access-controlled internal knowledge bases and product documentation, so teams can share content confidently — without constant web maintenance.
Search Insights
Summarize conversations to uncover your buyer’s needs, priorities, and motivations—so you can engage smarter and faster.
Smart Matching
Link relevant content directly to buyer queries—whether it’s product information, guides, or case studies—so buyers get the answers they need, faster and more efficiently.
Lead capture
Showcase product functionality in a way that captures attention, demonstrates real value, and converts curious buyers into qualified leads.
How Prism works
1
Setup the knowledge base
Create customized PDFs and connect your websites, and product documentation to Prism’s AI conversation engine. Buyers get the answers they need in real time, without forms or friction.
2
Deploy in Minutes
Prism installs instantly on your website with just two lines of code — no complex integrations or engineering overhead. Start engaging buyers within minutes.
3
Customize brand
Name your AI assistant and tailor its colors, sizing, and tone to reflect your brand identity.
4
Integrate with CRM
Capture engagement signals and session activity while delivering actionable insights to your sales and marketing teams. Enable buyers to schedule meetings and seamlessly integrate with CRM to capture leads automatically.
The Prism Difference
| Feature | Traditional Chatbots | Conversational AI |
| Design & Approach | Often flow-based: defined scripts, decision trees and pre-written responses. | Context-aware: uses Large Language Models (LLMs) to interpret intent and sustain conversations. |
| Context & Understanding | Limited context retention. Each user interaction often handled independently. | Maintains context within session (and sometimes across sessions), understands intent and can reference previous steps. |
| Training & Adaptation | May require manual scripting and regular updates of flows; relatively static. | Learns over time using real user interactions, improves responses dynamically, and requires less manual maintenance. |
| Implementation Effort & Time-to-Value | Relatively faster to deploy if flows are simple but has limited flexibility. | Initial setup can be quick but capable of deeper integrations and fine tuning to deliver higher strategic value |