Increase Member Engagement with AI Knowledge Assistants

Association members using AI knowledge assistants
by Michael Marolda Posted on April 23, 2026

This blog is the final installment in our 3-part series on how associations can unlock more value from their content using Agentic RAG. In the first post, we explored how valuable knowledge often goes unused because it’s difficult to access and activate. Next, we explained how to generate ongoing revenue from conference content by making it easier to discover and monetize. Now, we turn to the member experience itself, and how to fundamentally improve member engagement by changing how they interact with your content.

Association members often struggle to find the information they need, even when the answer already exists. While you may invest heavily in creating valuable content, engagement will be inconsistent if accessing it requires too much effort.

Traditional interfaces such as search bars or content libraries aren’t intuitive enough for most people, because they require that you know what you’re looking for, where to look for it and how to find it. Unfortunately, members don’t always have that information when they begin their quest. 

To bridge the gap, a different approach is needed. Conversational, AI-powered knowledge assistants enable members to simply chat with an AI agent that helps them refine their search to gain relevant information and insights. 

In this blog, we’ll explore how Agentic RAG powers this type of experience and makes it easy to discover and engage with content, boosting the overall value you deliver to your members. 

Why Keeping Members Engaged Is Challenging

For many associations, content is spread across websites, LMS platforms, member portals, video libraries and other systems. Before members can even find the information they need, they first have to figure out where to look. This creates friction (and frustration) right off the bat.

Even when they know where to look, traditional search doesn’t help much. It returns a list of links rather than answers or insights, requiring members to hunt for and interpret information on their own. They may spend hours clicking on links and scanning resources before they find anything relevant. This process is especially frustrating if the user lacks technical expertise or is short on time.

Say a member wants to understand some regulatory updates that were discussed in a recent webinar your association hosted. They log into your website and use keywords to search for the topic, but maybe they don’t have the name of the webinar. Search returns a list of content about industry regulations, leaving the member to scrub through each resource searching for the one they need. 

When members don’t see immediate value, they often disengage. They may give up altogether or turn to your internal support teams for help, driving up your operational costs. Over time, this limits member satisfaction while diminishing the value and impact of your content investments. 

Why Conversational Interfaces Change Everything 

Traditional search is built for finding information. Conversational interfaces fundamentally change that experience into a collaborative exchange that can surface information and insights that make membership more valuable and attractive. That’s because conversational AI enables members to ask their questions, get answers, then refine their thinking through follow-up questions, all in the same thread. 

Instead of starting over with each search, the system builds context over time. This helps users clarify intent and explore a topic more naturally. Content interaction becomes a dialogue that encourages them to dig deeper and learn more than they expected.

Because conversational interfaces use natural language, there’s no learning curve. Members don’t even have to know where content resides or how to structure their search. They simply ask questions the way they think and get answers. This removes barriers for non-technical users and makes the experience far more intuitive.

Equally important, support is always at their fingertips. AI can handle their questions 24/7, without increasing operational costs. 

How AI Knowledge Assistants Work 

AI knowledge assistants are best understood as a conversational layer sitting on top of your existing content. Instead of asking members to search through libraries and interpret results, they see a simple interface and can converse with an AI agent directly.

Members interact using natural language, just like they would in a conversation, and the system delivers clear, context-aware responses based on their intent.

Behind the scenes, this is powered by a technology called Agentic Retrieval-Augmented Generation (RAG). The assistant retrieves information from your association’s trusted content such as reports, webinars, training materials and more, and uses it to generate accurate, relevant responses that are grounded in your organization’s expertise and tailored to your members’ needs. Key capabilities include:

  • One unified interface across all systems eliminates the need to switch between websites, LMS platforms, and portals.
  • Direct, context-aware answers are grounded in association content, including research, training materials, conference sessions and more.
  • Citations with references (and links) to source materials such as documents, slides or timestamped videos, increasing credibility and trust, and enabling members to explore further.
  • Personalized responses based on member role, certifications, interests and past interactions make the experience relevant.
  • Multi-turn conversation and context awareness refine responses as members ask follow-up questions.
  • Intelligent content recommendations offer up related content or sessions to deepen members’ understanding and drive further engagement.
  • Multi-format content access pulls insights across formats into a single, seamless experience.

These features make interacting with your content faster, easier and far more engaging.

Let’s look at another real-world example. A member who wants to revisit a topic from a past webinar asks, “What were the key takeaways from last year’s conference session on supply chain disruption?” The AI assistant responds with a concise summary, surfaces the most relevant insights from the session, and links directly to timestamped video segments and supporting materials. This makes it easy for the member to find and apply the information, without rewatching the entire recording. 

The Impact on Member Engagement  

When content is easy to access and use, engagement naturally increases across the board. Members no longer have to work to find value because it’s delivered to them instantly. This results in numerous benefits for your association.

Increased Platform Usage and Membership Value

Easier access leads to more frequent visits, as members begin to rely on the platform as a go-to resource. As content becomes part of their daily workflow and members can quickly get what they need, the perceived value of membership increases, positioning the association as a trusted advisor they return to regularly.

Improved Retention and Satisfaction

Reducing friction leads to a better overall experience. Members encounter less frustration and are more likely to stay engaged over the long term.

Reduced Support Burden

The volume of repetitive inquiries to your staff decreases as members discover they can find information on their own. Teams can turn their attention from routine support tasks to higher-value activities, helping the association operate more efficiently.

All in all, AI knowledge assistants help associations deliver a proactive, always-on member experience that is highly valuable and engaging.

Drive Member Engagement with AI Knowledge Assistants

Member engagement is critical to the success of your association, but engagement ultimately depends on how easy it is for members to access and use your content. When information is hard to find, even the most valuable resources will be underutilized.

Progress Agentic RAG helps you transform static websites and member portals into an always-on, conversational knowledge experience with AI knowledge assistants.

Learn how to activate your existing content  to deliver more value to your members.

That’s a Wrap!

This concludes our 3-part series on how associations can unlock more value from their content using Agentic RAG. If you missed any of the articles, you can catch up here:

Blog 1: Your Association Has the Answers – Why Can’t Members Find Them?
Blog 2: Make Your Conference Content Work Year-Round
Blog 3: Increase Member Engagement with AI Knowledge Assistants

Together, these insights provide a practical roadmap for turning your content into a more accessible, valuable, and revenue-generating asset for your association.

 
FAQs 

What is an AI knowledge assistant for associations?

An AI knowledge assistant is a conversational interface that allows members to ask questions and get answers directly from an association’s content. It uses Progress Agentic RAG to pull from trusted sources such as webinars and training materials.

How does an AI assistant improve member engagement?

AI assistants reduce friction by delivering relevant answers in real time, instead of requiring users to search and browse. This makes it easier for members to access value, leading to more frequent, deeper engagement.

Does an AI knowledge assistant replace support teams?

No. AI knowledge assistants complement support teams by handling repetitive, low-complexity inquiries. This enables support staff to focus on higher-value interactions, while improving response time and availability for members


Author Michael Marolda in front of Niagara Falls
Michael Marolda

Product Marketing Manager, Senior

Michael Marolda is a seasoned product marketer with deep expertise in data, analytics and AI-driven solutions. He is currently the lead product marketer for the Progress Agentic RAG solution. Previously, he held product marketing roles at Qlik, Starburst Data and Tellius, where he helped craft compelling narratives across analytics, data management and business intelligence product areas. Michael specializes in translating advanced technology concepts into clear, practical business terms, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and modern data platforms.

More from the author

Related Products:

Agentic RAG

Progress Agentic RAG transforms scattered documents, video, and other files into trusted, verifiable answers accelerating AI adoption, reducing hallucinations, and improving AI-driven outcomes.

Get in Touch

Related Tags

Related Articles

Your Association Has Answers, So Why Can’t Members Find Them?
This is the first blog in a three-part series on how associations can unlock more value from their content, especially from conferences, using agentic RAG technology and by using Progress Agentic RAG, specifically.
Make Your Conference Content Work Year-Round
In this post, we'll cover how associations can make better use of one of the biggest content investments associations make: conferences. Agentic RAG is the key to making conference content deliver value and revenue year-round.
How the Progress Agentic RAG Solution Transforms Internal Knowledge into Strategic Advantage
Progress Agentic RAG, paired with the OpenEdge MCP Server, helps OpenEdge-based ISVs unlock and reason over decades of structured and unstructured application knowledge through secure, governed AI actions—delivering fast, grounded insights without rewriting trusted code.
Prefooter Dots
Subscribe Icon

Latest Stories in Your Inbox

Subscribe to get all the news, info and tutorials you need to build better business apps and sites

Loading animation