When it comes to nonprofit AI tools, the future is here. Nonprofits like yours are thinking through the complex questions of how AI can enhance different aspects of their workflows, including their content strategies.

According to The State of AI in Nonprofits 2025, 33% of nonprofits use AI for content marketing, but only 12.8% use predictive analytics. These findings highlight an opportunity to tap into predictive AI to develop a better data-driven marketing approach.

This guide explores strategies that the top nonprofit websites use to anticipate donor interests and behaviors and drive greater engagement.

How AI helps predict donor behavior

Your nonprofit may already be familiar with generative AI tools like ChatGPT or Gemini. These AI solutions are trained on massive datasets that include information from the internet, books, videos, and other digital materials. They can respond to different inputs and queries based on their vast knowledge with relatively high accuracy.

Predictive AI works a little differently. While generative AI tools like ChatGPT or Gemini are great for content creation, predictive AI goes a step further—it helps you anticipate what your supporters are likely to do next.

DonorSearch defines predictive AI as tools that “use their machine learning and pattern recognition capabilities to predict future trends and make recommendations based on those projections.” You can train these tools using data specific to your nonprofit, such as donor data or website analytics, to produce tailored insights.

There are a few different types of tools that fall under the umbrella of predictive AI, including:

Predictive analytics

Predictive analytics helps organizations forecast trends in areas such as donor behavior, donation likelihood, campaign success, and even donor churn with high precision.

For instance, perhaps your organization is deciding what type of online campaign will work best for GivingTuesday this year: a peer-to-peer fundraiser or a crowdfunding campaign. Use predictive analytics to evaluate historical data from these campaigns and past GivingTuesday results to help determine which campaign will work best this year.

Pattern tracking

Because AI excels at scanning large datasets, it can identify complex engagement patterns, donor behaviors, or giving trends that might be invisible to human analysts.

For example, let’s say you’ve gathered hundreds of impact stories on your website over the years, but you’re unsure which ones resonate most with your online donors. Pattern-tracking AI solutions can evaluate analytics and engagement trends for your blog posts and testimonials pages to see which pages lead to the highest donation conversions.

Donor segmentation

Segmentation enables nonprofits to group donors based on shared traits, pinpoint high-value donors, and tailor asks, messaging, and outreach strategies accordingly. AI can help you complete this process more efficiently.

For instance, you can use AI-powered segmentation to create donor groups based on giving amount. Then, you can tailor your stewardship activities based on each group’s commitment to your organization.

Major donors will appreciate in-person meetings or personalized appreciation videos, mid-tier donors like to see impact updates and receive gratitude phone calls, and smaller donors benefit from personalized emails and invitations to engage in volunteering or advocacy.

These AI tools aren’t just a fad—they can drive real results for charitable organizations. A GITNUX study found that nonprofits that implement AI see a 22% increase in fundraising efficiency.

 

Ways to apply AI insights to your content strategy

You can use the AI solutions mentioned above to effectively predict donor interests and improve your content strategy. Let’s review key strategies to keep in mind as you expand your organization’s AI capabilities.

1. Create better donor personas.

Predictive AI solutions can help your nonprofit enhance donor personas or profiles by turning manual research into automated processes.

AI solutions take insights from your constituent relationship management system (CRM) and website analytics to enrich personas with details about:

• Past behavior/interactions with your nonprofit
• Giving history
• Campaign engagement
• Communication preferences
• Programs or projects they like to support

Your organization must maintain a clean database to help your AI solutions work as efficiently and effectively as possible. This process can also be automated—most CRMs (including Salesforce) enable automated duplicate detection and merging, real-time sync across fundraising and marketing platforms, and recurring data backups.

While AI handles the manual, repetitive tasks involved with persona creation, your nonprofit marketing team can spend more time refining your messaging and building out your personas with additional unique insights.

2. Map personas to high-converting content opportunities.

Once you have developed your donor personas, use AI insights to create content that guides users further along the marketing funnel.

Explore these examples of audiences with different intentions and the types of content that most appeal to them:

• Low-intent (awareness stage) audiences like to read educational blog posts about topics related to your mission. For example, if your nonprofit works in wildlife conservation, you could post about recent research findings or conservation legislation.
• Medium-intent (engaged but not yet converted) audiences benefit from seeing case studies, testimonials, and event information. Your nonprofit should spotlight these types of content through calls to action (CTAs) and landing pages.
• High-intent (donation-ready) audiences need optimized donation forms with AI-powered suggested giving amounts based on past gifts. For instance, if a donor has contributed $50 to your online donation form in the past, you could list donation suggestions of $50, $75, and $100.

The more you can meet current and prospective donors where they are and communicate with their unique needs in mind, the easier it will be to turn website visitors into true supporters.

3. Leverage user testing analysis.

AI tools can automatically assess user sentiment and extract key engagement trends. This process will allow your organization to continually refine and optimize your personas.

Use AI-powered tools like HotJar or FullStory to evaluate website visitor behaviors with the help of features such as:

• Heatmaps
• Session recordings
• Click paths
• Scroll behavior

These AI tools enable real-time monitoring, allowing you to adjust messaging, imagery, or timing mid-campaign for better performance. You can see which blog posts visitors engage with, links they click, videos they watch, and forms they complete.

Use these solutions to test different content strategies and see what resonates. For example, suppose you notice that your volunteer registration form completion rate is decreasing. In that case, you can reduce the number of form fields or offer tailored volunteer shift recommendations to increase engagement and conversions.

4. Identify engaging content to refresh.

Use AI to sift through content performance data to spot high-performing evergreen articles or underperforming pages that you could refresh based on updated persona insights.

For example, let’s say you notice that a blog post on your website about recycling in corporate environments has recently seen a massive increase in traffic and engagement. You could move that article to the top of your priority list to update it and ensure it’s aligned with your donor personas.

Refreshing content based on user behavior ensures your website stays relevant and speaks to donor interests over time.

5. Start small to build confidence and capacity.

You don’t need to make your entire content strategy AI-first overnight. Instead, we recommend starting small to help increase your team’s confidence and comfort with using AI. Take these initial steps to get started:

• Begin with pilot campaigns for one persona or segment. Test your new AI-powered content approach starting with just one segment, such as monthly donors. Create a detailed user persona for monthly donors, craft content that speaks to their user intentions, and track metrics related to monthly giving program engagement and retention. After testing your strategies on a smaller scale, you can see if you’re ready to scale up.
• Set clear metrics. Don’t try to optimize every aspect of your website’s performance at once. Instead, focus on two to three specific analytics such as time on page, bounce rate, and online donor retention rate. This narrower focus will help you get a baseline to continue growing your AI content optimization efforts.
• Use low-cost tools or free trials to begin experimenting with AI. These options provide a low-risk way to explore how AI might benefit your nonprofit. However, exercise caution with fully free AI tools—many use the data you input to improve their models, which can raise privacy and compliance concerns, especially with sensitive or personally identifiable information. Take care to align your AI tool usage with relevant data protection regulations like GDPR or HIPAA, depending on your organization or audience’s location and the type of data involved.
• Explore AI tools that integrate directly with your content management system (CMS). For instance, WordPress offers a range of free or affordable AI-related plugins, such as content generators and SEO optimizers.

According to Kanopi Studios’ nonprofit web design guide, “Viewers love to feel like your website speaks directly to their wants and needs.” By taking small steps toward greater AI-enabled personalization, you’ll show your audience that you care about providing an excellent experience for them, whether they’re donors, volunteers, or community members.

 

Wrapping Up

An AI-powered content strategy helps you create a website presence that’s proactive—not reactive. The goal here is not to completely replace your donor research and outreach with AI, but to use AI as a tool to streamline the repetitive manual aspects of donor stewardship, allowing you to focus more on high-level strategies that make a significant impact.