Using AI to Research and Qualify Targets

Key Takeaways

AI is a speed tool. It helps you summarize public information, generate questions, and draft first-pass notes
AI cannot verify financials or replace judgment. Treat outputs as hypotheses until you confirm them
The workflow matters more than the tool. Feed the model real source material and ask for structured outputs
Use AI to create a one-page pre-call brief so every outreach touch has context
AI is especially valuable because personalization increases response rates, but manual research does not scale

If you are doing direct sourcing well, you will eventually have more targets than time.

The bottleneck becomes research.

Owners respond to specificity. Specificity requires context. Context takes time.

AI can help you compress the "get smart" step, but only if you use it correctly.

This guide gives you a workflow that is safe, fast, and useful.

What AI is good for in sourcing

AI excels at summarizing a company website into plain English, extracting services, industries served, and geography, and identifying obvious red flags from public information (lawsuits, regulatory flags, bad online reputation). It can generate a first draft of questions for a seller call and write a short personalization line you can edit into your outreach.

It is also good at forcing you into a structure.

That sounds small. It is not.

What AI is not good for

AI cannot estimate private company financials with accuracy, confirm who actually owns the business, tell you whether a business is a "good deal," or replace actual diligence.

It will hallucinate if you let it.

Treat AI output like an intern's work: helpful, fast, and always in need of review.

The sourcing research workflow

The workflow has five steps: (1) collect sources; (2) ask for a structured brief; (3) verify and edit; (4) use it for outreach and call prep; and (5) log it in your CRM or deal tracker.

Step 1: Collect the right sources

Give the model real text.

Best sources include the company website (About, Services, Industries, Locations, Careers pages), the Google Business Profile and reviews if relevant, the LinkedIn company page and leadership profiles, and any news mentions or press releases.

Worst sources include random directory profiles with no substance, private company "revenue estimate" sites, and anything that looks like SEO filler.

Step 2: Generate a one-page pre-call brief

Use a structured prompt so the output is consistent.

Prompt template (edit the inputs in parentheses):

"Based only on the source text I provide, write a one-page buyer brief on this company:

What they sell and to whom
How they likely make money (revenue model)
What looks operationally complex vs simple
5 questions to ask the owner to qualify fit and transferability
3 potential risks to watch for (customer concentration, key-person, cyclicality, compliance)
1 sentence I can use in an outreach email to show I did my homework

If you have to guess, label it as a guess."

That last line is the guardrail.

Step 3: Use AI to draft call questions

Once you have the brief, generate questions that map to acquisition risk: earnings quality and add-backs, customer concentration and churn, working capital dynamics, CapEx and equipment needs, and owner role and transfer plan.

If you already have a seller call script, you can ask the model to tailor it:

"Here is my standard first seller call outline. Based on this company, which 5 questions matter most and why?"

Step 4: Use AI for outreach personalization

Personalization works. Generic outreach does not.

Gong research has shown that certain personalization approaches can materially lift reply rates. The point is not the exact lift. The point is that relevance matters.

Use AI to get you 80% of the way there, then write the final 20% yourself.

The practical rule is simple: AI can draft the hook, but you should edit it so it sounds like a human and does not overclaim. If the hook feels "too clever," delete it.

Step 5: Batch triage, not batch decisions

You can use AI to triage a list. Run a brief for each Tier 1 target, have the model score "fit" based on your target company profile, and use that score to decide where to spend human time.

Do not use AI to decide what to buy.

Use it to decide what to look at next.

Quality control checklist

Before you use AI output:

Confirm the company still exists and the website is real
Confirm the location and service area
Confirm the owner or decision-maker name if you plan to use it
Remove any invented claims (AI loves confidence)
Keep it short. One page is enough

What this guide does not cover

Specific AI tool recommendations (they change constantly)
AI-generated outreach sequences at scale (deliverability and ethics risk)
Using AI for diligence and financial analysis (different workflow and higher stakes)

What to do next

AI will not make bad outreach good. It will make good outreach faster. The research step matters, but the real test is whether your message earns a reply and your call prep earns a second conversation.

Once you can research quickly, you can reach out with context.