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Tuesday, September 1, 2026 · UTC
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Fundraise Up Launches Free AI Visibility Assessment for Nonprofits

Fundraise Up launches a free tool to help nonprofits understand how AI assistants currently perceive their organizations.

TruthFoundry News Desk
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Fundraise Up launched the AI Visibility Assessment, a free tool that shows nonprofits how AI assistants currently understand and represent their organization. [1] A five-person committee selected by the American Diabetes Association (ADA) conducted an internal review regarding the expulsion of five members from a scientific session in New Orleans. [2] The authors present DIASENTINEL, a fully on-premise multi-agent system designed for one-year type 2 diabetes mellitus risk screening and guideline-grounded report generation from electronic health records. [3] Fundraise Up CEO and Co-Founder Peter Byrnes stated that the launch is the first practical application of the company's Agentic Giving product suite introduced in July. [4] Organic search traffic to nonprofit websites has fallen approximately 35% year-over-year, while AI-referred traffic has grown roughly 1,000%. [5] The AI Visibility Assessment allows a nonprofit to enter its URL and see how AI currently interprets its organization, identify gaps, and receive immediate results with specific recommendations. [6] The committee rejected claims that the organization acted to silence protest or involved local police. [7] The review concluded that the members were ejected for violating a code of conduct that prohibits the distribution of printed materials in certain areas. [8] DIASENTINEL employs a hybrid verification layer that combines rule-based checks with LLM entailment to ensure accuracy. [9] The system integrates calibrated risk prediction, deterministic clinical signal extraction, and Reciprocal Rank Fusion over American Diabetes Association guidelines. [10] The committee dismissed suggestions that the expulsion was a reaction to the substance of an April 29 commentary published in the ADA's Diabetes Care journal. [11] The authors state that DIASENTINEL demonstrates a practical framework for reliable, auditable, and privacy-preserving LLM-based clinical decision support. [12]
What this stands on
  1. Fundraise Up launched the AI Visibility Assessment, a free tool that shows nonprofits how AI assistants currently understand and represent their organization. · Cision PR Newswire
  2. A five-person committee selected by the American Diabetes Association (ADA) conducted an internal review regarding the expulsion of five members from a scientific session in New Orleans. · STAT
  3. The authors present DIASENTINEL, a fully on-premise multi-agent system designed for one-year type 2 diabetes mellitus risk screening and guideline-grounded report generation from electronic health records. · arXiv.org
  4. Fundraise Up CEO and Co-Founder Peter Byrnes stated that the launch is the first practical application of the company's Agentic Giving product suite introduced in July. · Cision PR Newswire
  5. Organic search traffic to nonprofit websites has fallen approximately 35% year-over-year, while AI-referred traffic has grown roughly 1,000%. · Cision PR Newswire
  6. The AI Visibility Assessment allows a nonprofit to enter its URL and see how AI currently interprets its organization, identify gaps, and receive immediate results with specific recommendations. · Cision PR Newswire
  7. The committee rejected claims that the organization acted to silence protest or involved local police. · STAT
  8. The review concluded that the members were ejected for violating a code of conduct that prohibits the distribution of printed materials in certain areas. · STAT
  9. DIASENTINEL employs a hybrid verification layer that combines rule-based checks with LLM entailment to ensure accuracy. · arXiv.org
  10. The system integrates calibrated risk prediction, deterministic clinical signal extraction, and Reciprocal Rank Fusion over American Diabetes Association guidelines. · arXiv.org
  11. The committee dismissed suggestions that the expulsion was a reaction to the substance of an April 29 commentary published in the ADA's Diabetes Care journal. · STAT
  12. The authors state that DIASENTINEL demonstrates a practical framework for reliable, auditable, and privacy-preserving LLM-based clinical decision support. · arXiv.org
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