— Predictive and generative AI for nonprofit prospect research and donor screening. Best for Nonprofits seeking to automate prospect research and prioritization, Major gift officers wanting data-driven outreach with AI-generated content, Fundraising teams needing to combine predictive scoring with generative drafting. Paid pricing.
Nonprofits seeking to automate prospect research and prioritizationMajor gift officers wanting data-driven outreach with AI-generated contentFundraising teams needing to combine predictive scoring with generative draftingOrganizations with large donor databases looking to surface hidden giving potential
Not ideal for
Small nonprofits with lean budgets and limited donor dataTeams that only need basic text generation (e.g., generic ChatGPT) without prospect researchOrganizations unwilling to invest in data cleaning and staff trainingUsers seeking a free or freemium AI tool
If your nonprofit needs a specialized AI that understands fundraising data, DonorSearch AI is a strong choice. It spits out actionable donor scores and draft outreach content, saving hours on manual research. But if you're on a tight budget or only need basic text generation, generic tools like ChatGPT may suffice.
DonorSearch AI stands out as a vertical AI solution for nonprofits, offering both predictive and generative capabilities in one platform. When to pick this: your advancement team spends too much time screening donor lists and personalizing asks. The 'Most Likely to Respond Score' is a killer feature – it cuts through the data noise. When to pass: your database is small or outdated – AI insights are only as good as your data quality. Also, if you need a free tool, this one is paid. Compared to iWave/Kindsight, DonorSearch AI leans harder on predictive scoring and generative features, while iWave focuses on wealth screening. Real-world caveat: you'll need staff training to interpret the AI outputs correctly; garbage in, garbage out. Integration with your CRM is smooth but requires IT setup. Overall, a solid investment for mid-to-large nonprofits serious about major gifts.
Skip DonorSearch AI if Skip DonorSearch if you need transparent, upfront pricing or serve a primarily international donor base.
How likely is DonorSearch AI to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
80
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About DonorSearch AI
DonorSearch AI is a suite of predictive and generative AI tools built specifically for nonprofits to enhance prospect research, donor screening, and cultivation. It leverages the market-leading DonorSearch database to deliver insights that help fundraisers identify and engage high-potential donors. Key features include the Most Likely to Respond Score, Generative AI for content creation, and Enhanced CORE for deeper analytics. The platform integrates seamlessly with major fundraising CRMs and offers both cloud-based and API access. Unlike generic AI tools, DonorSearch AI is purpose-built for the nonprofit sector, combining predictive modeling with generative capabilities to streamline prospecting and personalization.
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Key Features
Predictive AI for donor screening and scoring
Generative AI for content creation (emails, proposals)
Most Likely to Respond Score
Philanthropic and wealth screening
ProspectView Online 2 for web-based research
DonorSearch API for custom integrations
Enhanced CORE for deeper analytics
Data marketing lists
Automated nightly data updates
Pattern recognition and recommendation engine
Scalable for enterprise nonprofits
Real-world workflow fit
Concrete scenarios for the personas DonorSearch AI actually fits — and what changes day-one when you adopt it.
Major gift officer at a healthcare foundation
You have a portfolio of 500 constituents and need to identify the top 50 most likely to give a major gift in the next 12 months.
Outcome: Upload your database, run MLR Score, get prioritized list with predicted gift capacity, and export to Salesforce within one business day.
Capital campaign manager at a university
You're launching a $50M capital campaign and need to find new prospects beyond current donors.
Outcome: Use ProspectView Online to screen wealth and giving history, generate a list of 200 new prospects, and assign them to gift officers, all within a week.
Development director at an environmental nonprofit
You want to personalize year-end fundraising letters to 1,000 mid-level donors.
Outcome: Use DonorSearch Generative AI to draft custom letter templates based on each donor's giving history and interests, reducing preparation time by 50%.
Use Cases
Identify high-value major gift prospects from existing donor databases using predictive scores.
Generate personalized donor profiles and engagement strategies with generative AI.
Integrate donor insights directly into your CRM to streamline portfolio management.
Models Under the Hood
proprietary machine learning models
Limitations
Pricing is not publicly available and likely requires a sales call. The platform focuses on US philanthropic data; international coverage may be limited. Some advanced AI features may be gated behind higher-tier plans or require professional services. The generative AI features are relatively new and may not be as robust as dedicated AI writing tools.
Hidden costs & gotchas
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Custom pricing model may include annual contracts or setup fees.
•Data append services may incur additional per-record costs.
•Professional services for custom model training likely billed separately.
Where the pricing makes sense
The company stage and team size where DonorSearch AI's pricing actually pencils out — and where peers do it cheaper.
DonorSearch targets mid-to-large nonprofits with budgets for major gift prospecting. Custom pricing puts it above self-serve tools like iWave or WealthEngine, which start under $10K/year. For small shops, the investment is hard to justify without a clear ROI demonstration.
Setup time & first value
How long it actually takes to get something useful out of DonorSearch AI — broken out by persona, not the marketing-page minute.
Initial setup—data upload, CRM integration, and model training—typically takes 1–2 weeks with dedicated onboarding support. Running a first batch screening for MLR scores can be completed within a day after data sync.
Switching to or from DonorSearch AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From Excel/Spreadsheets: Upload CSV of constituent data for initial screening.
→From iWave: Export your screened prospect lists and import into DonorSearch via API.
→From WealthEngine: Request data export from WealthEngine and map fields to DonorSearch format.
→From Salesforce native screening: Connect DonorSearch API to your existing Salesforce instance.
Migrating out
↗To iWave: Export prospect data from DonorSearch and import into iWave's screening tool.
↗To WealthEngine: Download your screened lists as CSV and upload to WealthEngine.
↗To custom database: Use DonorSearch API to pull all screened data into your own system.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•Feb 2026: Release of Generative AI features for personalized donor outreach content.
