Describing Your Organization to an AI

AI funder matching is only as good as the organizational profile it’s matching against. Give it a vague description and you’ll get vague results. Give it the right details and the matches sharpen dramatically.

What AI Needs to Know

When you’re using AI for prospecting, the system needs to understand your organization across several dimensions — the same dimensions funders evaluate when they read your proposal.

Mission and programs

What problems does your organization work on? Not your mission statement — the actual work. Which programs are active? What populations do you serve? What outcomes do you produce?

Geographic focus

Where do you operate? A single city, a region, statewide, nationally? This is one of the strongest filters in funder matching — get it right.

Organizational profile

Type (nonprofit, university, government, business), budget size, years in operation, tax status. These determine basic eligibility for many funders.

Funding history

Who has funded you before? What sizes of grants have you received? Past funders are some of the strongest signals for finding new ones — they reveal which funding ecosystem you belong to.

Current needs

What are you looking for right now? General operating? A specific project? Capacity building? The more specific you are, the more targeted the results.

The Minimum Viable Profile

You don’t need a perfect organizational profile to start prospecting. AI can work with whatever you have — your website, a previous grant narrative, a program description, a few paragraphs about what you do. The point is to give it enough to get the picture.

But know this: the quality of the input directly affects the quality of the output. If you describe your organization as “we help communities,” the AI has almost nothing to match against. If you describe it as “we provide after-school STEM education for middle school students in rural Appalachian communities, serving 400 students annually across three school districts,” now it has something to work with.

Pro tip

Start with what you have. You can always refine your profile as you go. A decent starting profile that gets you prospecting today is better than a perfect profile you never finish building.

Common Mistakes in Organizational Descriptions

Watch out

The biggest mistake isn’t leaving things out — it’s being vague where specificity matters. “We serve underserved populations” tells the AI nothing. “We serve formerly incarcerated adults transitioning back into the workforce in Greater Detroit” tells it everything it needs.

Too broad. Describing every program and initiative you’ve ever run dilutes the signal. If you’re prospecting for a specific program, lead with that program. You can always search for other programs separately.

Too aspirational. Describing what you plan to do rather than what you currently do produces matches for organizations you aren’t yet. AI matches against what you give it — make sure it reflects reality.

Missing the numbers. Budget size, staff count, people served, geographic footprint — these quantitative details are powerful filters. Funders care about scale, and AI uses these signals to match you with appropriately sized funders.

The sharpest organizational profiles lead with specifics: population, geography, program model, and scale. Everything else is supporting detail. Give the AI the same information you’d give a knowledgeable colleague who’s helping you find funders.

In Grantable

In Grantable, your organization’s profile is built into the system. When you first set up your workspace, Grantable asks about your organization — or it can learn from whatever you have: your website, a previous grant, uploaded documents, or just a conversation. As you use the platform, the profile gets richer. Every grant you write, every funder you research, every conversation you have adds to the organizational context. You don’t have to re-describe your organization for each search — it already knows.

Check your understanding

You're setting up AI-powered prospecting for the first time. You have your organization's website, last year's annual report, and a recent grant narrative. What's the best approach?

Key Takeaways

AI funder matching quality depends directly on the organizational profile — specifics beat generalities
Lead with population, geography, program model, and scale — these are the strongest matching signals
Start with what you have (website, past grants, program descriptions) and refine through use
A good-enough profile that gets you prospecting today beats a perfect profile you never finish

Next Lesson

Your organization is described. Now let’s look at how AI actually takes that profile and turns it into funder matches — the mechanics of AI funder matching.