AI summaries or chatbot answers are increasingly becoming someone’s introduction to your organization.
Before, donors researching where to give or prospective hires looking for a mission fit would discover you by Googling you, navigating to your website and skimming your socials to learn about you. Today, that search is turning into a single synthesis that may or may not include why you think they should choose you.
Leading large language models like ChatGPT, Claude and Gemini build their picture of your organization from what’s already circulating about it across the open web: news coverage, a Wikipedia page, nonprofit databases, forums, partner and press mentions.
Information that appears across credible, independent sources may be easier for an AI tool to corroborate than a claim made only on your organization’s own website. This means that what popular AI tools find depends on how clearly — and how widely — your organization has made its story known.
The Story an AI Summary Surfaces
When a brand is strong, an AI summary can connect the basic facts — who you serve, what you do and where you work — to a clearer sense of what makes the organization distinctive and valuable.
When the brand is weak or inconsistently expressed, the summary tends to flatten. It may repeat a founding year, program list or fiscal budget without capturing why the work matters, how the organization approaches it differently or what people should remember.
That is less a new AI problem than a familiar brand problem showing up in a new place. A brand takes hold when others can describe an organization much as it would describe itself. Three principles can help you develop a brand that people and machines can carry forward.
1. Simplicity
Would a board member, a program participant and a reporter who once covered your organization describe your work in roughly the same sentence?
When they can, that shared understanding travels. It gets remembered, repeated and eventually summarized more accurately by people and machines alike. Getting there starts with expressing your purpose in language simple enough for others to say it in their own words.
2. Specificity
Specific language gives people and systems something concrete to hold onto. Naming who you serve, how you work and what changes because of it creates a story that is easier to verify, cite and summarize.
This does not require a dashboard of metrics. It means describing your impact in terms distinct enough that they could only belong to your organization.
3. Consistency
You do not need to use identical phrasing everywhere. Scripted language rarely survives intact across a press quote, grant report and social media bio. What matters is that the same underlying strengths are apparent in the places where others are likely to encounter or describe you: your About page, nonprofit profiles, staff LinkedIn bios, partner websites and recent press.
These sources shape both human and machine impressions. It’s worth reviewing them together rather than treating them as responsibilities for communications, development and program teams to manage alone. A shared messaging toolkit can help break down these silos.
A Simple Way to Test Your Story’s Strength
There is no reliable technical switch that determines how an AI tool will describe your organization. Strong SEO and accessible content can help systems discover and interpret what you publish, but they cannot make up for a story that is unclear, unsupported or inconsistently told.
A useful place to start is by asking several AI tools the questions a donor, partner or applicant might ask:
What does this organization do? Who does it serve? What distinguishes it?
Then trace the answers back to their sources. Note what is accurate, what is missing and where the story differs. Treat the exercise as a diagnostic, not a scorecard. Answers will vary by tool, prompt and moment, but the patterns can show where your public story is strong and where it needs reinforcement.
Storytelling for AI is Still Storytelling for People
It is also worth keeping this shift in perspective. AI-generated summaries are one input among many. The gift conversation, the multiyear funder relationship and the program partnership are still built through people talking to people. No summary replaces that work — it actually makes it matter even more.
None of this calls for a new strategy or a new tool. It calls for the same brand discipline that was always worth the investment — now paying off in even more places.
Looking to amplify your organization’s story for greater impact? Let’s talk.
