AI prospect research tool template

Prospect research has always been one of the most time-consuming parts of nonprofit fundraising. Before a single conversation happens, fundraising teams spend hours, sometimes days, piecing together donor profiles from public records, social media, LinkedIn, wealth screening tools, and giving histories spread across multiple platforms.

​

The AI prospect research tool template changes that. Built on Airtable's flexible platform, it uses artificial intelligence and machine learning to automate the most labor-intensive parts of donor prospecting, giving your fundraising teams more time for what actually moves the needle: building genuine donor relationships and making meaningful asks.

Whether you're identifying major donors, qualifying funders for a capital campaign, or building a scalable outreach pipeline for your annual fund, this template gives you the structure, the automation, and the AI-powered insights to do it faster and better than manual research ever could.

​

Streamline your workload with Airtable's prospect research tool template

​

​

What is AI prospect research, and why does it matter for nonprofits?

Prospect research is the process of identifying and evaluating potential donors based on their capacity to give and their likelihood of giving. Traditionally, this has meant manual searches across wealth screening tools, real estate records, public filings, social media, and donor databases, a process that is both slow and inconsistent, especially when fundraising teams are stretched thin.

​

AI prospect research applies artificial intelligence and machine learning to automate and enrich that process. Rather than relying on a researcher to manually cross-reference data sources, an AI-powered tool pulls together wealth indicators, giving history, affiliations, demographic data, and real estate holdings into a structured donor profile, in real time, at scale.

​

For nonprofits, this matters enormously. Major gift fundraising depends on personalization. A major gift conversation that demonstrates a genuine understanding of a donor's giving capacity, their philanthropic interests, and their connection to your mission will always outperform a generic solicitation. But developing that level of insight on every prospect in your pipeline has historically required either significant staff time or expensive third-party provider subscriptions that smaller organizations can't afford.

​

AI changes that equation. With the right tools and templates, even small fundraising teams can conduct the kind of deep donor prospecting that was once the exclusive domain of large development offices.

​

​

The real cost of manual donor prospecting

Before exploring what the AI prospect research tool can do, it's worth naming the problem it solves clearly. Manual donor prospecting is expensive, not always in direct costs, but consistently in time and opportunity cost.

​

A typical prospect research process might look like this: a gift officer identifies a potential major donor, passes the name to a researcher, who then spends two to four hours searching wealth screening tools, reviewing public records, checking LinkedIn and social media, looking up real estate holdings, pulling giving history from the CRM, and compiling everything into a donor profile. Multiply that by the size of your prospect pool, and you're looking at weeks of staff time before a single conversation begins.

​

That time has a real cost to your fundraising strategy. Every hour spent on manual data enrichment is an hour not spent on donor engagement, follow-up, stewardship, or building the relationships that lead to major gifts. The pain points are real and familiar to anyone who has worked in the nonprofit sector: too many prospects, too little time, and never quite enough information before the ask.

​

Using AI tools integrated with Airtable, the prospect research tool is designed to compress that research cycle dramatically, delivering actionable insights in a fraction of the time, and doing so consistently across every prospect in your pipeline.

​

​

​

What's included in the AI prospect research tool template?

A prospect research template typically includes a way to track potential donors or companies, capture research insights, and organize findings so teams can prioritize outreach. This template includes a companies table, a research questions table, and a product categories catalog out of the box, and can be extended with new tables, fields, and automations using natural language prompts. Here's what's included in this template:

• Companies table: This is the central hub for tracking every prospect, capturing the company name, number of employees, industry, market cap, products, business locations, and product categories alongside AI-generated fields for recent news and engagement recommendations. It is designed for sales teams, business development professionals, and fundraising teams who need a complete picture of each prospect before making first contact. This helps teams walk into every conversation with current, relevant context rather than spending hours compiling it manually.
• AI-generated research fields: When you add a company name, AI fields automatically generate employee count, industry classification, product and service listings, market cap, business locations, recent news, and tailored recommendations for how to engage with or pitch to the company, all on demand within the record. These fields are context-aware, pulling from the company name to produce relevant, accurate output that can be regenerated any time new information is needed. This helps fundraising and sales teams produce comprehensive prospect profiles in a fraction of the time manual research would require.
• Research questions table: This table lets teams create custom research questions linked to any company record, with an AI-generated answer field that responds to each question based on the company context, for example "what sustainability initiatives does this company have?" or "how does this company's giving history align with our mission?" Answers roll up back to the associated company record so all research stays connected and findable. This helps teams go beyond standard profile fields to surface the specific insights most relevant to their outreach strategy.
• Field Agents: Field Agents are AI agents embedded in the template's tables that generate research content directly within records. In this template, they power the employees, industry, products, market cap, business locations, recent news, and recommendations fields in the companies table, as well as the answer field in the research questions table, producing on-demand insights without requiring any manual data entry. This helps fundraising and business development teams maintain a well-researched, actively worked prospect pool even with limited staff capacity.
• Omni for customization: Airtable's built-in AI building expert, Omni, lets you extend and adapt this template using natural language, for example "add a new field to track company website URLs," "build a new table to track contacts at each company," or "create an automation to notify me when a new company is added," without requiring manual configuration. This helps teams tailor the template to their specific research and outreach workflow without technical setup.
• Omni for reporting: Omni can answer questions about your prospect data on demand, such as "which companies are in the technology industry?", "how many companies do I have in each industry?", or "what's the average market cap of my companies?", surfacing the insights your team needs without building custom dashboards. This helps development directors and team leads prioritize their prospect pool and allocate outreach resources based on real data rather than gut instinct.

​

​

How fundraising teams use this template in practice

The workflow is straightforward, which matters when you're asking busy fundraising teams to adopt a new tool. Start by entering a prospect's name, organization, or relevant identifying information. The AI-powered research process begins immediately, pulling data from connected sources and compiling it into a structured donor profile. Your team reviews the profile, adding context from your CRM and any direct knowledge of the relationship.

​

From there, the template supports the full donor prospecting workflow. Use the wealth screening data to prioritize prospects by giving capacity. Use the philanthropic affiliations and giving history to identify the strongest alignment with your mission and your current fundraising initiatives. Use the AI-generated outreach suggestions to craft a first contact that's informed, relevant, and personal.

​

Follow-up is built into the workflow too. Rather than relying on individual gift officers to manually track where each prospect stands, the template supports automated follow-up reminders and status tracking, so no prospect falls through the cracks between first contact and major gift conversation.

​

For nonprofit fundraising teams managing large portfolios of potential donors, this kind of structured, automated workflow is the difference between a prospect pool that's actively worked and one that's aspirational but untouched.

​

Wealth screening, predictive modeling, and giving capacity: what AI adds

Traditional wealth screening tools give you data points. AI gives you synthesis.

​

The distinction matters. Knowing that a prospect owns real estate valued at a certain level, or that they've made gifts to peer organizations in your sector, is useful. But knowing how those data points combine to suggest a giving potential range, and how that potential compares to others in your pipeline, requires analysis, the kind that used to take significant staff time or a dedicated research provider.

​

Predictive modeling, one of the more powerful applications of AI in the nonprofit sector, applies machine learning to patterns in donor data to forecast giving likelihood and capacity. Rather than evaluating each prospect in isolation, predictive modeling looks at the full picture: wealth indicators, giving history, demographic signals, affiliation patterns, and engagement behavior. The result is a smarter prioritization of your prospect pool, so your major gift officers are spending their time on the prospects most likely to give, at the levels most aligned with your fundraising goals.

​

This doesn't replace the relationship-building judgment of experienced gift officers. It informs and amplifies it. When your team walks into a donor engagement conversation with a complete, AI-generated profile and a predictive giving capacity estimate, they're better prepared to have the right conversation, and more likely to make an ask that lands.

​

​

How this template integrates with your existing fundraising workflow

New tools only create value if they get used. That means integration with existing workflows, CRM systems, and team habits matters as much as the underlying functionality.

​

The AI prospect research tool is built on Airtable, which connects naturally with the CRM systems, communication tools, and workflow automation platforms that most nonprofits already use. Donor profiles built through the template can flow into your CRM automatically, enriching existing records without requiring manual data entry. Research workflows can be triggered automatically when a new prospect is added to the system, so your team always has current, complete information without having to initiate a separate research process.

​

For organizations using Airtable across multiple functions, the prospect research tool connects to adjacent templates, including donor management, campaign tracking, stewardship workflows, and major gift pipeline management, creating a unified system rather than another isolated point solution. Data flows between tools. Prospect records link to gift records. Research connects to outreach. Everything your team needs to manage the donor relationship lifecycle lives in one place.

​

This kind of connected, automated workflow is particularly valuable for smaller nonprofit fundraising teams that need to do more with limited staff capacity. When routine data enrichment and follow-up tasks are handled automatically, your team can focus on the high-value work that AI can't replicate: genuine relationship-building with the donors who matter most to your mission.

​

​

Who is this template for?

The Airtable prospect research tool is designed for anyone in the nonprofit sector who is responsible for identifying, qualifying, or cultivating potential donors. That includes:

• Development officers and major gift fundraisers who need deep, accurate donor profiles before making first contact or advancing a major gift conversation. The template gives them the wealth screening data, giving history, and philanthropic context to walk into any meeting fully prepared.
• Prospect researchers who currently spend significant time on manual data gathering across multiple platforms and providers. The template automates the most repetitive parts of that process, freeing researchers to focus on higher-level analysis and strategy.
• Fundraising directors and development leadership who need a scalable, consistent approach to donor prospecting that works across the whole team, not just the most experienced gift officers. The template creates a repeatable process with AI-driven quality built in.
• Smaller nonprofits and startups in the sector that don't have the budget for expensive wealth screening provider subscriptions or a dedicated research team. This template makes sophisticated AI-powered prospect research accessible at a fraction of the traditional cost, without sacrificing the quality of the donor data.
• Foundations and funders doing their own diligence on potential grantees or partnership organizations can also adapt this template for reverse prospecting, understanding who you're funding before you commit.

​

​

Try these Claude prompts with the AI prospect research tool template

Connect this template to Claude in just a few clicks. Claude can take direct action in this template, creating company records, generating research questions, and updating prospect profiles without leaving your conversation. Here are some prompts you can try:

• I'm preparing for a meeting with [COMPANY NAME]. Pull together everything we have on them in our companies table, then generate five custom research questions I should know the answers to before the call and add them to the research questions table linked to that company.
• Review all company records where the recommendations field is empty and generate engagement recommendations for each one based on their industry, market cap, and recent news so no prospect goes into outreach without a strategy.
• Here's a list of new prospects we identified this week: [PASTE LIST]. Create a company record for each one, assign the correct product category, and flag them for follow-up so the team knows they're ready for research.

​

​

Frequently asked questions

​

How is AI prospect research different from traditional wealth screening tools?

Traditional wealth screening tools are primarily data providers, they give you access to databases of wealth indicators, real estate holdings, and giving records, but the synthesis and analysis is still largely manual. AI prospect research goes a step further by applying machine learning to that data, identifying patterns, generating insights, and producing actionable donor profiles automatically. The AI prospect research tool combines data enrichment with AI-powered analysis, so your team receives not just raw wealth data but a structured, prioritized view of each prospect's giving potential and philanthropic alignment.

​

Can this template replace a dedicated prospect research provider?

For many nonprofits, especially smaller organizations and those earlier in building their development operations, yes, it can meaningfully reduce or replace dependence on expensive third-party research providers. The template draws on publicly available data sources including real estate records, social media, LinkedIn, public filings, and news, and applies AI to synthesize that information into comprehensive donor profiles. For organizations with very large major gift programs or highly specialized research needs, it works best as a complement to existing research infrastructure, dramatically accelerating the manual portions of the process.

​

How does the template handle donor data privacy?

The AI prospect research tool works exclusively with publicly available information, the same data that any researcher could access manually through public records, social media, and published giving histories. It does not access private data or bypass any data privacy protections. All data gathered through the tool should be handled in accordance with your organization's data management policies and applicable regulations, just as you would with any other prospect research process.

​

Is this template useful for smaller nonprofits without a dedicated research team?

It's particularly well-suited to smaller organizations precisely because it replaces the need for dedicated research staff or expensive provider subscriptions. When a single development director or a small fundraising team is responsible for the full prospect-to-gift lifecycle, having an AI-powered tool that automates the most time-consuming parts of donor prospecting is instrumental. The template makes it possible to maintain a well-researched, actively worked prospect pool even with limited staff capacity, which is one of the biggest operational challenges in the nonprofit sector.

​

Can we customize the outreach templates for our organization's voice and mission?

Yes. One of the core features of the AI prospect research tool is the ability to upload your organization's standard pitch and outreach templates, which the AI then customizes based on the research data for each prospect. This means your outreach retains your organization's voice, values, and messaging while being personalized to the specific donor, a combination that drives stronger engagement and retention than either generic templates or fully bespoke writing for every prospect.

​

​

Build a smarter, more scalable fundraising strategy

The nonprofits that consistently win in major gift fundraising aren't necessarily the ones with the largest teams or the biggest budgets. They're the ones that build the smartest processes, that know their prospects deeply, communicate with genuine relevance, and move efficiently from research to relationship to ask.

​

The AI prospect research tool gives your fundraising efforts the infrastructure to do exactly that. It eliminates the bottleneck of manual donor prospecting, delivers AI-generated donor profiles grounded in real wealth data and giving history, and integrates seamlessly into the workflows your team already relies on.

​

Stop spending your most valuable hours on data gathering. Start using Airtable's AI prospect research tool template and put that time where it belongs, in the conversations, relationships, and major gift initiatives that advance your mission.

​

Try Airtable's prospect research tool template for free today

​