Dakota Marketplace is the global private markets intelligence platform used by thousands of investment professionals to research LPs, GPs, and private companies — and the data source powering every prompt in this post. Built by fundraisers for fundraisers, Dakota Marketplace delivers complete, accurate, and daily-updated intelligence across every allocator channel — from family offices and RIAs to sovereign wealth funds and public pensions. Learn More | Book a Demo
AI tools like Claude and ChatGPT can now connect directly to databases… and for anyone working in private markets, that's a major unlock.
But only if you're actually using it.
The professionals pulling ahead right now aren't waiting for AI to become part of their firm's official process. They're building it into their daily workflow today whether for meeting prep, prospect research, outreach, or competitive intelligence.
The difference between a generic AI tool and the Claude App connected to Dakota Marketplace is the difference between a guess and a grounded answer.
Generic AI has no access to 30 years of verified LP, GP, fund, and transaction data. It hallucinates. It generalizes.
Dakota Marketplace’s Claude App doesn't return rows. It returns intelligence, built on the only dataset built exclusively for the private markets community.
Here's what that looks like in practice, five things we learned today.
1. The ESG & Impact Leadership Candidate Map
For: Managing Directors at financial services executive search firms running senior sustainability mandates at large alternative asset managers. The Job: Building a ranked candidate universe of ESG and impact investing professionals across private markets firms globally, prioritized by firm AUM and recent fund launches
The prompt
I'm leading a confidential executive search for a Head of ESG & Impact Investing role at a $20B multi-strategy alternative asset manager. The firm wants a candidate with 10+ years in private markets, deep expertise in ESG integration and impact measurement, and experience at a GP with at least $5B AUM. Using Dakota Marketplace, identify investment professionals currently in ESG, sustainability, impact investing, or responsible investing roles at private equity, private credit, infrastructure, or real assets firms in the United States and Europe with firm AUM over $3B. Include their current firm, title, firm AUM, strategy focus, and any available direct contact information. Flag individuals at firms that have launched an ESG or impact-focused fund in the last 3 years as highest priority. Return a ranked PDF of the top 30 candidates for initial outreach.
2. The Healthcare System Impact Manager Shortlist
For: Directors of Investments at healthcare system endowments and investment offices with board mandates to grow impact and ESG allocations. The Job: Identifying actively fundraising private equity and private credit managers with verified ESG or impact theses, benchmarked against peer healthcare system and faith-based endowment commitments
The prompt
I'm the Director of Investments at a $2.5B healthcare system investment office with a board mandate to grow our impact and ESG-oriented allocations to 15% of the portfolio. Using Dakota Marketplace, identify private equity and private credit managers actively fundraising with an explicitly articulated ESG, impact, or sustainability investment thesis. Show which peer healthcare systems, faith-based endowments, or community foundations have committed to these managers in the last 24 months. Include fund size, vintage, minimum commitment, strategy focus, and the lead GP contact at each. Flag managers with verifiable third-party impact reporting frameworks. Deliver as a PDF I can share with our investment committee.
These prompts are only as good as the data behind them. Every prompt above runs on Dakota Marketplace data: the verified contacts, AUM, investment preferences, and transaction activity that turn a generic AI answer into a real prospect list. Whichever AI app you use, the facts come from the same place. Book a demo of Dakota Marketplace to get connected.
3. The GP Prospect List for Digital Subscription Workflow
For: Regional Sales Directors at investor portal and subscription processing software companies targeting mid-market alternative investment managers. The Job: Finding PE, private credit, and real asset managers running multiple active funds and processing LP subscriptions across vehicles, the clearest signal of digital workflow need
The prompt
I sell investor portal and digital subscription processing software to alternative investment managers. Using Dakota Marketplace, find all private equity, private credit, and real asset fund managers in the United States with AUM between $500M and $5B that have filed Form D filings on two or more active funds in the last 36 months. These managers are processing LP subscriptions and distributions across multiple vehicles — a clear need for digital workflow automation. Show the COO or CFO at each firm, their AUM, number of funds on record, and direct contact information. Return a ranked outreach list of 40 priority targets with a short rationale for why each is a strong fit.
4. The Family Office Private Credit Outreach List
For: Directors of Investor Relations at mid-market private credit funds building targeted family office coverage with no recent team touchpoint. The Job: Pulling a prioritized list of Midwest and Mid-Atlantic family offices with documented recent private credit activity, filtered to exclude accounts already in active dialogue
The prompt
Pull a targeted list from Dakota Marketplace of single-family offices and multi-family offices that have made documented allocations to private credit or direct lending strategies in the past 18 months. Filter for offices with AUM over $500M located in the Midwest or Mid-Atlantic. Exclude any accounts where my team has logged a meeting or call in the past 6 months. For each, return: firm name, city, total AUM, primary investment contacts — name, title, email — investment preferences, and the most recent allocation activity on record. Rank by likelihood to allocate based on recent activity.
5. The Industrial Carve-Out Opportunity Tracker
For: Directors of Business Development at middle-market PE funds focused on industrials and specialty manufacturing. The Job: Identifying publicly traded industrial conglomerates that have recently announced or completed carve-outs or divestitures in the target deal size range, with signals of additional transaction activity ahead
The prompt
I'm on the business development team at a $6B middle-market PE fund focused on industrials and specialty manufacturing. Using Dakota Marketplace, identify large publicly traded industrial conglomerates and diversified manufacturers that have announced or completed a division sale, carve-out, or strategic review in the last 18 months with deal size between $100M and $800M. For each target, show the corporate development lead, CFO, or M&A advisor; the divested business sector and estimated revenue; and any signals that additional carve-outs are likely. Return a ranked PDF of the top 20 opportunities sorted by strategic fit and transaction recency.
Start Prompting With Real Data
Here's the thing that makes these prompts work… on its own, AI is brilliant at structure and terrible at facts it doesn't have. Ask any chatbot for a pension fund's current allocation, a CIO's contact, or who actually owns a target company, and it will confidently make something up.
That's the whole reason these prompts run on Dakota Marketplace data, no matter which AI app you prefer: you get the speed and structure of AI with contacts, AUM, allocations, and transactions that are actually verified.
AI is the engine. Dakota Marketplace is the fuel.
Connect the two, in Claude, ChatGPT, or whatever you already use, and the work that used to eat your morning takes minutes, with data you can actually act on.
Book a demo of Dakota Marketplace to get started.
