Turn member conversations into actionable intelligence.
News.Quest connects to your members' community forums (Discourse, Higher Logic), social channels (WhatsApp, LinkedIn, Reddit) and industry publications (journals, magazines, news feeds) — then uses AI to extract structure, surface recommendations, and deliver intelligence your association can act on.
Channels
AI Orchestration
Intelligence
The problem
Your members are talking. You're missing it.
Lost Recommendations
Members constantly ask each other for supplier recommendations — in WhatsApp threads, forum posts, and LinkedIn comments. Those answers are scattered, informal, and disappear. Your supplier marketplace stays underused while the real recommendations live in a chat nobody can search.
Newsletter Overwhelm
Your comms team spends hours trawling dozens of industry news sources to compile a weekly brief. They can't cover everything. Members get too much or too little — and the sources never quite line up with what your specific audience actually cares about.
Group chats are a black hole
You nudged your members onto group chats like WhatsApp. Now it's dozens of groups and thousands of messages — no subject lines, no threading, no way to know what's being discussed. There's real insight in those threads, but no way to surface it.
How it works
From noise to intelligence in four steps
Connect
Link your channels: WhatsApp groups, HigherLogic communities, LinkedIn, Reddit, RSS news feeds, or any structured data source. News.Quest syncs continuously.
Process
Our AI orchestration layer ingests every message, thread, and article. It threads conversations, groups topics, extracts entities, and routes content through configurable AI pipelines.
Structure
Unstructured conversations become: named recommendation threads with supplier matches, executive news briefs, classified discussion topics, member engagement scores, and a searchable knowledge base.
Act
Push structured recommendations directly to your Insight Guide marketplace. Distribute briefs to member segments. Surface trending topics for editorial. Query your knowledge base with natural language.
Use cases
Built for the way associations actually work
Supplier Recommendations
"My members recommend suppliers to each other every day. I can never capture it."
News.Quest monitors your community discussions and WhatsApp threads, extracts every supplier mention, anonymises where needed, and surfaces structured recommendations — complete with the problem being solved, the solution suggested, and a direct link to the vendor's Insight Guide listing.
Executive Industry Briefs
"Our newsletter takes two days to produce. Members say they don't read it."
Connect your approved news sources. News.Quest extracts, summarises, and compiles a concise executive brief — sourced, scannable, and tailored to your members' specific industry segment.
WhatsApp Intelligence
"We have 30 WhatsApp groups and no idea what's in them."
News.Quest ingests WhatsApp group messages, creates subject lines, groups related messages into threaded discussions, summarises the noise into the substantive content, and classifies every thread.
Science-to-Public Translation
"Our mission includes public education, but our content is too technical."
Feed peer-reviewed journals or technical publications into News.Quest. Define a target persona and the AI produces accessible summaries tailored to that reading level and purpose.
Member Intelligence & Engagement
"I don't know which members are actually active or what topics they care about."
News.Quest builds a unified engagement profile for every member across all connected channels — messages sent, topics engaged, recommendations made, reactions, and connections.
Association Knowledge Base
"Every time we answer the same member question, we lose that knowledge forever."
News.Quest continuously extracts structured knowledge from all your processed content and builds a searchable, AI-queryable knowledge base. Ask questions in natural language, get cited answers.
Early results
The numbers associations care about
12 hrs/wk
average time saved on newsletter production per association
3.4×
average increase in supplier recommendation capture vs. manual methods
94%
of member discussions successfully threaded and classified
60 sec
average time to query the knowledge base for a cited answer
Based on early pilot data from association partners. Your results will vary based on community size and channel activity.
Integrations