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AI Donor Bio Analyzer · Agent 03 · Acquire AI | Aubree
Agent 03 · Major Gift Intelligence · Acquire AI

4 to 6 Hours of Prospect Research.
30 Seconds.

Your major gifts officer spends 4 to 6 hours researching a prospect before their first call. Sarah Chen, tech executive and foundation board member, is exactly the kind of profile that takes half a day to research manually. The AI Donor Bio Analyzer does it in 30 seconds.

Your major gifts officer just got their first call prep done in 30 seconds. For every prospect in your pipeline.

  • Sarah Chen: $2.5M philanthropic capacity, 94/100 affinity score for STEM education.
  • Recommended first ask: $15,000, calibrated to her giving history and program alignment.
  • Her MIT connection, mentorship focus, and education equity language. Your conversation anchors.
  • Same sources a prospect research consultant uses. In seconds, not hours.
30 sec Full prospect profile
$2.5M Sarah Chen capacity
94/100 STEM affinity score
$15K Recommended first ask
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Your Major Gifts Pipeline Is Stalled Because Research Takes Longer Than Cultivation.

A meaningful first call with a major gift prospect requires preparation. Not a Google search and a LinkedIn browse. Real preparation: wealth indicators, philanthropic history, organizational affiliations, giving patterns to comparable organizations, program alignment signals, and the specific conversational anchors that make the first call feel like a continuation of a relationship rather than the beginning of an ask.

That research takes 4 to 6 hours per prospect. For a major gifts officer managing 20 active prospects and prospecting for 10 more, that is 120 to 180 hours of research time per quarter, before a single cultivation conversation happens. The pipeline stalls not because the prospects are not there but because the team cannot move fast enough to work them all properly.

The AI Donor Bio Analyzer runs the same research a prospect consultant would run, against the same public data sources, and delivers the complete intelligence package in 30 seconds. Every prospect in the pipeline, properly researched, before the first call is scheduled.

Sarah Chen. 30 Seconds. Everything You Need for the First Call.

AI Donor Bio Analyzer · Prospect Intelligence Report
Acquire AI · Agent 03 · Major Gift Intelligence
0:28
Analysis time
Sarah Chen
VP of Engineering, TechCorp · Foundation Board Member · MIT Alumna
STEM Education Affinity Score
94 / 100
Highest affinity category in profile
Philanthropic Capacity
$2,500,000
Based on compensation, real estate, and giving history
Recommended First Ask
$15,000
Calibrated to giving history and program alignment
Tech executive compensation. VP Engineering level at Series D company.
Foundation board member. Oakridge Family Foundation, $4.2M in assets.
Real estate holdings. Two properties in high-value zip codes.
Prior gifts to 3 STEM education organizations. Largest: $25,000.
MIT Connection
Sarah graduated MIT in 2009, Computer Science. She has spoken publicly about MIT's influence on her belief that access to rigorous STEM education determines career trajectory. Lead with program outcomes for first-generation college students in STEM pathways.
Mentorship Focus
Sarah mentors three junior engineers through a TechCorp program and has written about mentorship as the single highest-leverage intervention for underrepresented groups in tech. Connect her giving to the mentorship component of your STEM Academy.
Education Equity Language
In LinkedIn posts and a 2024 panel discussion, Sarah uses the phrase "structural access gap" when discussing STEM education inequality. Using this framing in the conversation will signal that your organization understands the problem at the level she thinks about it.
LinkedIn Public Foundation Records Real Estate Data Giving History Executive Compensation Public Speaking Records

WealthEngine Tells You What Someone Is Worth. This Tells You How to Talk to Them.

Capacity data is the starting point, not the intelligence. Knowing Sarah Chen has $2.5 million in philanthropic capacity tells you she can give. It does not tell you what moves her, what language she uses, what connection she has to your mission, or what the optimal first ask is based on her actual giving behavior.

WealthEngine
Capacity data. That is where it ends.
  • Net worth estimate
  • Real estate holdings
  • Stock holdings
  • General philanthropic giving estimate
  • No affinity signals
  • No talking points
  • No recommended ask calibration
  • No program alignment analysis
AI Donor Bio Analyzer
Capacity plus everything your major gifts officer needs to close.
  • Philanthropic capacity calculated from multiple sources
  • Program affinity score based on giving history and public statements
  • Recommended first ask calibrated to your specific program
  • First-call talking points anchored to the prospect's own language
  • Organizational connections and warm introduction pathways
  • Education and professional background relevant to cultivation
  • Prior giving to comparable organizations surfaced and analyzed
  • All sourced from publicly available professional and philanthropic data

Every Prospect. Fully Researched. Before the First Call.

Capacity and Affinity Together

Capacity tells you what a prospect can give. Affinity tells you what they care enough about to actually give. The AI Donor Bio Analyzer produces both simultaneously, scored and ranked, so your major gifts officer walks into the first call knowing both the ceiling and the connection point.

First-Call Talking Points

Sarah Chen uses the phrase "structural access gap" when discussing STEM education inequality. That language appears in her LinkedIn posts and a 2024 panel discussion. The analyzer surfaces it as a talking point anchor so your major gifts officer can open a first call that feels like a meeting of minds rather than a cold introduction.

Calibrated Ask Amounts

The recommended first ask of $15,000 is not a guess. It is calculated from Sarah's prior giving history to comparable organizations, her current program alignment score, and the giving patterns of prospects with similar profiles. The calibration is built into the analysis, not added afterward.

Six Data Sources Cross-Referenced

LinkedIn, public foundation records, real estate data, executive compensation, giving history to other organizations, and public speaking records. The same sources a prospect research consultant uses to build a profile that costs $500 and takes a week. Cross-referenced automatically in 30 seconds.

Publicly Available Data Only

All data sourced by the AI Donor Bio Analyzer is publicly available professional and philanthropic information. LinkedIn profiles, public foundation filings, public real estate records, and public giving disclosures. The same data any development office has access to, organized and synthesized automatically rather than manually.

Every Prospect in Your Pipeline. Not Just the Top Five.

The research constraint is gone. Every prospect gets the full treatment.

When research takes 4 to 6 hours, only your highest-priority prospects get properly prepared for. The AI Donor Bio Analyzer removes that constraint. Every prospect in the pipeline, fully researched, before the first call is scheduled.

From Half a Day of Research to 30 Seconds of Intelligence

Without AI Donor Bio Analyzer
  • 4 to 6 hours of manual research per prospect before the first call
  • LinkedIn, foundation records, and real estate data searched separately
  • Capacity data from WealthEngine with no affinity or talking point context
  • Ask amount estimated from instinct and comparable organization benchmarks
  • Only top-priority prospects fully researched due to time constraints
  • First call opens cold because the conversational anchors were not surfaced
  • Pipeline moves slowly because research is always the bottleneck
With AI Donor Bio Analyzer
  • Complete prospect intelligence delivered in 30 seconds
  • Six data sources cross-referenced simultaneously
  • Capacity plus affinity score plus talking points plus ask calibration
  • Recommended first ask calculated from giving history and program alignment
  • Every prospect in the pipeline fully researched before the first call
  • First call opens with the prospect's own language reflected back to them
  • Pipeline moves because the research constraint no longer exists

How Many Major Gift Prospects Are Sitting in Your Database Right Now That No One Has Had Time to Properly Research?

This changes that calculation permanently.

Your Next Major Gift Is Already in the Database. Your Team Just Has Not Had Time to Find It.

Get started and see the AI Donor Bio Analyzer profile your first prospect in 30 seconds.

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