American Institute of Physics
AI-Powered Conversational Search Transformation

Challenge

The American Institute of Physics needed to enhance content accessibility to improve how researchers, students and physicists interact with their published papers and to boost subscriptions and article purchases.

Solution

We developed a chat-based conversational search interface using LLM technology.

User Experience & Analytical Intelligence

Enables natural language queries with semantic understanding

Provides generative summaries with rigorous citations

Supports conversation history and result sharing

Incorporates feedback for continuous improvement

Technical Implementation

Retrieval Augmented Generation (RAG) framework

Multi-Modal semantic document parsing supporting images and charts

Crafted an elegant conversational UI with Next.js and React

Results

Metric	Before	After	Impact
Search Time	12 mins	3 mins	↓ 75%
Content Discovery	Limited	Comprehensive	↑ 230%
User Engagement	5 min/session	15 min/session	↑ 200%
Citation Accuracy	72%	96%	↑ 24%
Subscription Conversion	-	-	↑ 42%

Strategic impact

Enhanced Accessibility

Simplified discovery of relevant research

Increased Revenue

42% boost in subscriptions and article purchases

User Satisfaction

87% of users found more relevant content

Adoption Rate

3.5× higher engagement than traditional search

Research Efficiency

9 hours saved per researcher monthly

Why our approach worked

Our AI solution enhances research without replacing human expertise. The intuitive conversational interface makes physics content more discoverable and accessible, continuously improving through user feedback.

Spicerack swiftly responded to our RFP, with a comprehensive proposal that exceeded expectations. Their excellent and unusual partnership provides creative expertise and valuable guidance. They're advanced in their AI knowledge, open to new ideas and technologies, and a pleasure to work with - I can't recommend them highly enough.
Founder, Project partner