Leaders of professional associations have an increasing number of AI tools well-suited or even specifically designed for their organizations and members.
Here we’ll explore 12 tools being used by associations in particular.
While 2024 and early 2025 saw many AI tools adopted simply for AIs sake, to demonstrate to boards and members that the association was trying to be forward thinking, we’re now seeing more purposeful adoption of tools to solve specific challenges, improve staff efficiency, and enhance the member experience.
There are a few general categories of tools being leveraged by associations:
- AI tools meant to create efficiency for staff. These tools generate value by helping existing staff do more things, or accomplish things they otherwise couldn’t without the tool.
- AI tools meant to personalize information and experiences for members. Many associations flood their members with hundreds of emails each year, communicating everything to everyone. These tools seek to solve those challenges and generate value by helping present more relevant information to members.
- AI tools meant to help members access information. Members often struggle to find what they’re looking for on an association website and especially across multiple digital properties for content, education, events, publications and more. These tools help members find what they need more easily.
- AI tools meant to deliver new kinds of value to members and increase the value of membership.
Let’s look at some of the tools seeing adoption in associations across these categories.
Category 1: Efficiency for staff
LLM Assistants (Microsoft Copilot, Claude, etc.)
The most widely adopted AI tools across associations are general-purpose LLM assistants. Staff are using them for drafting communications, summarizing meeting notes, generating first drafts of content, and working through strategic questions. These tools themselves are not association-specific, but the applications are increasingly practical: a membership team using Claude to draft segmented email campaigns, a publications team using ChatGPT to summarize research for member-facing content, or a leadership team using Copilot to prepare board materials more efficiently. The value here is straightforward: existing staff can accomplish more without adding headcount.
Hubspot Content Remix (and similar tools)
Associations produce a significant volume of content across journals, blogs, conference proceedings, webinars, and research reports. HubSpot's Content Remix and similar tools from platforms like Jasper and Lately use AI to take a single piece of content and reformat it for multiple channels: turning a research summary into a social post, an email excerpt, a blog introduction, and a short video script. For association marketing and communications teams that are often small and stretched thin, this kind of tool reduces the effort required to distribute content across the channels where members actually spend their time.
ScholarAI
ScholarAI is an AI-powered research assistant that helps users search, summarize, and synthesize findings from millions of peer-reviewed papers. For medical and scientific associations in particular, it can significantly reduce the time required to review literature when developing continuing education content, clinical guidelines, or research summaries for members. Staff can query specific topics, get citation-aware summaries, and identify relevant studies faster than traditional manual review. It does not replace expert judgment on what to include in educational materials, but it compresses the time from literature search to usable synthesis.
Category 2: Personalize Information for Members
Rasa.io
An AI-powered newsletter engine that aggregates industry news and personalizes the content for every individual member. Rather than sending the same newsletter to your entire list, Rasa.io learns what each subscriber engages with and tailors future sends accordingly. It has been integrated directly by GrowthZone AMS for its association clients, making it accessible to organizations already on that platform. The tool saves staff hours on content curation and can boost sponsorship ROI through more targeted placements. The main limitation is that layout customization is relatively constrained, and associations need to carefully configure source whitelisting to maintain content quality.
Hum
Hum, a Customer Data Platform, uses AI to predict member interests and personalize website content and marketing outreach.One of Hum's more interesting capabilities is identifying anonymous website visitors and building profiles that can help nurture them toward membership. For associations with significant web traffic, it creates a data layer that connects browsing behavior to marketing strategy. The main caveat is that the predictive engine requires substantial web traffic volume to function well, so it's better suited for larger associations.
Feathr
Built for associations, Feathr is a marketing platform that uses AI to automate ad retargeting and personalized event and program recommendations. It's widely adopted for event marketing and fundraising, and its interface is designed for association staff who are not necessarily marketing specialists. This marketing platform works well as a top-of-funnel tool for driving event registrations and re-engaging lapsed members through targeted campaigns. It is less suited for deep member retention or lifecycle engagement, where more specialized tools are needed.
Category 3: Help Members Find Resources
Betty Bot
Betty Bot is a generative AI "Knowledge Assistant" trained on an association’s unique data to answer member questions. Betty is designed specifically for STEM, Medical, and Trade associations, and saw significant adoption in 2025. Betty is often trained and used in a specific use case, such as point-of-care or care guideline answers for medical societies, or for member support issues. The cost of Betty scales based on the number of members, making it approachable for small associations though sometimes costly for larger organizations.
FUSESearch
FUSESearch offers a Content Discovery Platform that indexes data from across your systems and provides an AI-driven federated search and a conversational AI chatbot to enable users to find and discover content in one search across all of of an association’s digital platforms: website, learning management system, publications, etc. This CDS can dramatically improve discoverability of resources, though it can come with higher technical complexity for initial implementation.
Higher Logic Thrive - AI Assistant
HigherLogic, a mainstay for professional associations for years, powers online member communities and forums. The Thrive product has introduced AI assistants for a few purposes, including AI-assisted personalized digests and newsletters from the online community. In the forums themselves, the Thrive AI Assistant serves as a conversational search and answer engine, helping members more quickly find and understand what they’re looking for in the forums.
Category 4: New Value for Members
BenchPrep
BenchPrep is an AI-powered certification prep platform that uses adaptive learning to increase pass rates for professional exams. It has gained some traction across associations that offer credentialing programs. BenchPrep creates a personalized study path for each learner based on their performance, focusing time on areas where they need the most work. For associations, it can represent a high-margin education revenue stream. The main requirement is a substantial volume of practice questions and content to feed the adaptive engine effectively.
Memorang
Memorang is an AI-powered education platform that helps associations build, launch, and scale learning experiences across certification prep, continuing education, and professional development. The platform uses AI to generate and manage educational content, create adaptive assessments, and deliver personalized study experiences through white-label mobile apps. For associations that produce significant educational content, Memorang offers a way to scale that content into more engaging, personalized formats without proportionally scaling the staff required to manage it.
AI Career Partner (Highland)
AI Career Partner takes a fundamentally different approach to the tools listed above. Rather than solving a specific functional problem like search, content personalization, or exam prep, AI Career Partner is designed to deliver a new kind of member value: scalable, personalized career partnership. And rather than locking an association into a licensing subscription, the AI Career Partner leverages best in class AI technology that the association can own, control, and evolve over time.
AI Career Partner connects an association's existing proprietary content, research, salary data, career resources, mentorship programs, job listings, and member directory into a single conversational experience. For instance, a member can benchmark their compensation using the association's proprietary salary survey, get guidance on a career transition grounded in trusted content, receive recommendations for relevant courses or credentials, and be connected to specific members who have navigated similar career paths.
The AI is governed, drawing exclusively from the association's own credentialed and proprietary resources rather than the open web. It knows the member through their profile data, career stage, location, and specialization, enabling a high level of personalization.
Where most AI tools on this list improve how associations operate or how members find what already exists, AI Career Partner creates a new way for members to engage with the full value of their association.
Where This Is Heading
The shift we're seeing across these tools reflects a larger pattern. Early AI adoption in associations was often reactive: adopt something, show the board, move on. The tools seeing real traction now are the ones solving specific problems that association staff and members actually face.
That said, most of these tools still operate in well-defined lanes. They make staff more efficient, help members find things, or personalize communications. Those are meaningful, but incremental, improvements.
The more interesting question for association leaders in 2026 is whether AI can do something more fundamental: strengthen the value of membership itself. Not by making existing processes faster, but by creating new kinds of tailored experiences that members cannot get anywhere else.
This is the category worth watching most closely, because it is where AI has the potential to address the core challenge associations face: making membership feel essential in an environment where alternatives to every traditional benefit are readily available.
