Donors ask AI where to give.
Are you in the conversation?
The recommendation decision happens before the question.
Map — Identify the life moments and context chains that form the shortlist.
Monitor — Track presence across major AI platforms and scenarios.
Activate — Strengthen the trust signals and sources models rely on.
Attribute — Connect AI influence to real donations, volunteer signups, and grant visibility.
These are conversations, not searches
People don’t start by searching ‘nonprofit.’ They start with a moment: a cause that hit home, a year-end giving decision, a company match deadline, a friend asking for help, or a disaster in the news. They tell AI what matters—and AI turns that context into a shortlist.
You need to be part of the decision-making process.
How AI recommendations form for nonprofits
Example: Year-end giving → budget + cause preference + tax timing → prefers trustworthy + measurable impact → trust signals (transparency, outcomes, credible citations, press, local credibility) → AI shortlist → donation.
Show up at every step
Capture intent before the search bar.
DONATION
“I want to donate to mental health—who’s actually effective?”
AI recommends a shortlist based on credibility, outcomes, and transparency.
DONATION
“What are the best local charities in my city for housing support?”
AI recommends 2–3 nonprofits based on local trust signals and proof of impact.
DONATION
“There was a disaster—where should I give that helps right now?”
AI recommends organizations with verified response capacity and trusted sources.
DONATION
“My company matches donations—what nonprofits qualify in this cause?”
AI recommends orgs that look compliant, credible, and easy to verify.
VOLUNTEER
“I need volunteer hours this month—what opportunities are legit and nearby?”
AI recommends nonprofits with clear signup flows and strong local trust signals.
GRANTS
“We’re applying for funding—what proof do funders expect for impact?”
AI recommends frameworks and name-drops organizations that look exemplary.
Platform Features
Everything you need to own the AI conversation.
Visibility Monitoring
Track appearance across ChatGPT, Gemini, Perplexity, Claude, and 5 others.
AI Content Engine
Generate pages structured for LLM recommendation engines.
Competitor Spy
See exactly when other orgs appear and identify gaps.
Deep Analytics
Insights on citation quality, visibility trends, and ROI metrics.
Revenue Attribution
Track donations and conversions from AI referrals with conversion pixels.
Citation Builder
Build the signals AI engines use to determine credibility and expertise.
✓ Cross-model monitoring (ChatGPT, Gemini, Perplexity, Claude)
✓ Market-level context mapping
✓ Upstream life-moment coverage
✓ Activation playbooks (content + citations)
✓ Attribution-ready instrumentation
Someone is asking AI where to give right now.
Get a Presence Snapshot to see the moments that create recommendations in your cause area—and whether you show up today.