How Nonprofits Use an AI Humanizer to Keep Fundraising Emails Personal
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By PAGE Editor
A development team sending fifty fundraising emails a year used to write every one of them from a blank page, drawing on whatever specific story or update actually mattered that month. Many nonprofits now draft that same volume of email in a fraction of the time using AI assistance, and development staff describe a specific tradeoff that comes with it, appeals that hit every fact correctly and still read like they could have been sent by any organization asking for money.
According to Nonprofit Tech for Good's Communications Trends Report, 82 percent of nonprofits are already using AI informally or ad hoc, and drafting content, including donor emails, is one of the top reasons cited. That adoption number matters less on its own than what it means for donor relationships once appeals start sounding interchangeable across organizations competing for the same limited pool of donor attention.
The Real Cost of an Appeal That Sounds Like Everyone Else's
Fundraising email response rates are already under real pressure industrywide, and a generic-sounding appeal makes that problem worse rather than neutral. A donor deciding whether to open, read, and act on an email is making a fast emotional judgment, and appeals that read as templated, however factually accurate, do less to create the specific emotional connection that actually drives a gift.
This matters more for smaller organizations without a dedicated communications team. A large nonprofit can absorb one flat appeal in a broader mix of campaigns. A small nonprofit sending a handful of appeals a year is relying on each one to actually perform, which raises the stakes on every single email sounding like it came from a real person who cares about the mission, not a template with the organization's name inserted.
There is also a volume dimension worth naming. Nonprofits sent an average of 50 email messages per subscriber in 2025, with roughly 31 of those tied to fundraising specifically, according to M+R Benchmarks. At that volume, even a small improvement in how personal each appeal reads compounds across dozens of touchpoints with the same donor over a year, which is a different scale of impact than a single flat email sent once.
The Specific Signs of a Templated Appeal
A few patterns that show up repeatedly in unedited AI drafted fundraising appeals:
Urgency language that reads as generic rather than tied to a specific, current need
A donor impact story that could describe any beneficiary rather than a specific person or family
Uniform sentence structure that makes every appeal from an organization sound interchangeable
A closing ask that could realistically appear in any nonprofit's email regardless of mission
What Actually Changes Once an Appeal Is Refined
A refinement step targets sentence rhythm and word choice predictability, the same properties that separate an appeal that reads as personal from one that reads as mass produced. Applied to a fundraising email, that means varying sentence length so the appeal does not read as a checklist of talking points, and nudging predictable nonprofit language toward phrasing that reflects the organization's actual voice and the specific story being told.
The core facts, the program details, the specific need, the ask amount, do not change. What changes is whether reading the email feels like hearing from a person at the organization or receiving a mail merge with the donor's first name inserted at the top.
Why Donor Sentiment Makes This Worth Getting Right
Donor sentiment about AI in fundraising is genuinely mixed. Research on donor perceptions found only about 43 percent of donors say AI use would have a neutral or positive effect on their giving, while roughly a third say they would be less likely to give if they suspected heavy AI involvement. That split is a real reason for nonprofits to make sure AI assisted appeals read as genuinely personal rather than obviously automated, independent of whether any donor ever explicitly asks about the organization's writing process.
That gap between adoption and donor comfort is worth sitting with. Organizations moving fast on AI assisted drafting are, in many cases, moving faster than donor sentiment has caught up to, which makes the difference between an appeal that reads as personal and one that reads as automated a genuinely material factor in how a campaign performs, not just a stylistic preference.
A Realistic Workflow for a Lean Development Team
Development teams handling this well are not writing every appeal from scratch by hand, which would erase the real time savings AI drafting provides for organizations often running lean on staff. They treat a refinement step as the final check before an appeal goes out, applied after the specific facts and story details are already locked in, rather than a replacement for the personal storytelling that makes fundraising email actually work.
Some development teams have found that running a draft through a free AI humanizer before sending helps close the gap between a factually solid appeal and one that reads as genuinely personal, since it adjusts sentence rhythm and word choice rather than simply rewording the same generic phrases into slightly different generic phrases.
What Still Depends on Someone Who Knows the Work
No refinement tool can supply the specific story, the actual name of a program participant with permission to share it, or the genuine sense of urgency tied to a real, current need. Those details have to come from someone at the organization who knows the work firsthand, before any refinement step touches the language. A perfectly refined version of a generic appeal is still a generic appeal.
This is worth stating plainly because it is easy to treat a refinement tool as a shortcut past the harder work of actually gathering a good story. Development staff who spend time collecting a specific, verifiable detail from a program, a name, a number, a direct quote, before drafting anything are giving both the AI draft and the refinement step something real to work with. Skipping that step and hoping refinement alone will make a generic appeal feel personal rarely works.
AI has changed how quickly a fundraising appeal gets drafted, not whether it still needs to feel like it came from a person who genuinely cares about the cause. The development teams whose appeals actually perform are not avoiding AI assistance entirely.
They are treating the AI draft as a starting point, and using the rest of the writing tools inside Phrasly AI to make sure the specific story and voice that made a donor care in the first place actually comes through in the final version.
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