Donors now ask AI where to give. Does it say your name?
When someone asks an engine which organizations serve your community, the answer routes donation intent, volunteer hours, and grant attention. We measure what eight AI engines say about your organization every month, correct mission confusion at its sources, and show you the trend honestly.
API responses approximate but do not exactly match consumer app answers; we report these numbers as trend and share of voice comparisons, never as absolute truth.
A real client portal. Confidential details blurred, the format is exactly what you get.
Mission confusion
redirects generosity
A donor rarely gives to an organization they cannot describe. When an engine mixes up your mission, your region, or your name, the gift does not vanish. It goes to whoever the engine described correctly. The engines are already answering these questions about your community, whether your organization participates or not.
Two community foundations we measure lead their markets with 72 percent and 54 percent AI share of voice. The engines are already routing generosity. The only question is whether your organization is on the map.
Photographed by our founder, Drew Thomas Hendricks.
The questions AI answers
about organizations like yours
Example question shapes, not client panels. Your panel is built from the way donors, volunteers, and grantees in your community actually ask, and you see every question.
Measure. Diagnose. Fix. Prove.
Sized for mission budgets.
Measure
Your donor and volunteer questions go to all eight engines every month. We score who gets named: you, or the organization the engine prefers today.
Diagnose
Every mission mix-up and wrong claim gets a root cause and a fix plan aimed at the sources the engine actually cites.
Fix
Corrections and content grounded only in verified organizational facts, approved by you in a private portal before anything ships.
Prove
The next measurement confirms what the engines stopped claiming and where you became visible, with your analytics next to the map.
The full mechanism, including the battle map, receipts, and methodology, lives on the AI Visibility Engine page.
Asked by organizations like yours
Do donors actually ask AI where to give?
Yes. Donors ask which organizations serve a region, which charities are effective for a cause, and whether a specific organization is legitimate. The engines answer with names. In our measurements, two community foundations lead their markets with 72 percent and 54 percent AI share of voice, which means the engines are already steering donation intent somewhere.
What does AI get wrong about nonprofits?
Mission confusion is the big one. In our first measurement month an engine described a childcare center as a hospital philanthropy program accepting donations. Engines also conflate similarly named organizations, mix up service regions, and describe programs that ended years ago. Donors checking those answers either give elsewhere or lose confidence entirely.
We are a small organization. Is this overkill?
The measurement is sized to the organization: a fixed panel of the 12 to 20 questions your donors and volunteers actually ask, run monthly. Small organizations are often the most exposed, because engines have thin information about them and fill the gaps with guesses. The audit is the cheap way to find out where you stand.
Find out what AI tells your donors
The audit shows where your organization is invisible, who the engines point donors to instead, and what they get factually wrong. Reviewed by a person before it reaches you.
Request Your AI Visibility Audit