We Asked AI Which Charity to Support — Here's What It Recommended

2026 is the year charities stopped controlling how donors first discover them. To see what that looks like in practice, we ran a simple test: we asked an AI assistant a question a real donor might ask, and watched which organizations it recommended — and, just as importantly, what it said about the ones it did not.

The Test: One Donor-Style Prompt

We used a prompt in the exact style a real donor now uses:

"I have $20 a month to give to a charity in Burlington, Ontario. Who should I support?"

This is no longer a hypothetical way to find a cause. Donors are asking Perplexity, ChatGPT, and Gemini directly. The assistant returns three to five organizations, and most donors simply pick from that shortlist. If your organization is not in that answer, you are not in the consideration set at all.

What the AI Recommended

One organization owned the answer: Burlington Community Foundation.

At the time of the test, the AI understood exactly who they were and why they mattered. Three things set them apart:

Clear positioning — the AI could state what they do in their own terms
Recent content — current material the AI could draw from
A strong digital footprint — enough consistent presence to be understood accurately

The result was a recommendation delivered in the organization's own voice, based on how the organization actually describes itself.

What Happened to Everyone Else

The more revealing finding was how other local charities appeared — because most of them did not appear in their own voice at all.

One active organization surfaced only through a blog post from 2015.
Another was represented by an eleven-year-old listicle.
A local food bank was defined almost entirely by a COVID-19 article from 2021.

These are vital, working organizations. But the donor is no longer hearing directly from them. A decade-old, third-party article is now speaking on their behalf — and the AI treats that stale content as the organization's identity.

That is the shift. For years, nonprofits optimized for Google rankings and website clicks. Now an AI reads whatever it can find and summarizes you from it. If the freshest thing it finds is eleven years old, that is who you become in the answer.

Why This Is Fixable

The AI visibility problem is entirely solvable. The organizations that shape AI understanding today are the ones that will shape donor consideration tomorrow. That means publishing clear, current, structured content in your own voice — the practice we cover in Answer Engine Optimization and Generative Engine Optimization — so the AI has something accurate and recent to draw from instead of a legacy article.

To help nonprofits see where they actually stand, we built a simple test that runs the exact style of prompts real donors are using and shows where you appear, who is outranking you, what legacy content the AI is relying on, and whether your brand is being represented accurately.

Findability Is Only Half of It

Getting found is the first half of the problem. What you do once a donor finds you is the second — and that is the work AI4Love handles: surfacing the patterns in your supporter data your team does not have time to find. Who is drifting away. Who is ready for more. Who deserves recognition right now.

Discovery gets a donor in the door. Relationship intelligence is what keeps them.

See where your organization stands — get in touch →

Common Questions

How do donors use AI to choose a charity? They ask an assistant like Perplexity, ChatGPT, or Gemini a direct question — for example, which charity in their city to support for a given monthly amount. The assistant returns a short list of three to five organizations, and many donors choose from that list without visiting a search engine at all.

Why did some charities appear through old articles instead of their own websites? Because an AI summarizes an organization from whatever content it can find. When an organization has little clear, recent material in its own voice, the AI falls back on whatever exists — an old blog post, a years-old listicle, a pandemic-era news article — and treats that as the organization's identity.

What makes an organization show up well in AI answers? Clear positioning the AI can restate, recent content it can draw from, and a consistent digital footprint that lets it understand the organization accurately. In our test, the organization that owned the answer had all three.

Can we control how AI represents our nonprofit? You cannot control the assistant, but you strongly influence it by publishing clear, current, structured content in your own voice. The organizations that do this now are the ones AI will represent accurately as this becomes the primary way donors discover causes.

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AI4Love is a relationship intelligence platform built for nonprofits and foundations. We unify your donor, volunteer, and event data into a single intelligence layer — surfacing the patterns your team can't see manually, and placing recommendations in front of the right person at the right time. Nothing acts without human approval. Your team owns every relationship. [Learn more at ai4love.ca]