AI tools / Contact intelligence
One Click Before the Call: How AI Contact Research Works for Business Brokers
An owner calls back while you're at lunch. A buyer replies to your drip at 7am. You have thirty seconds and one click. Here's what comes back, and why it changes the call.
Quick answer
Vertica CRM's AI Contact Research builds a sourced profile of any seller or buyer in about 30 seconds with one click. It draws from public sources and optional paid data services, fills empty fields on the contact record, and shows a profile you can read during the call. Your existing entries are never overwritten, every fact shows its source, and results are saved as a dated note so your team never pays to research the same person twice.
AI Contact Research for business brokers changes how prepared you are for the call, often in the same thirty seconds between your desk and the door. Here is the story that led us to build it, and what the feature does in practice.
My first day back at a brokerage after a long vacation, I had a callback waiting from an owner I had spoken with two years earlier. I remembered his name and roughly what he did. I did not remember the name of his business, what industry it was in, how long he had been there or what had happened since we last talked.
I called him back. It showed.
He was gracious about it. He answered my questions, filled in the gaps, let me pretend I had it together. But I could hear it: that slight shift in tone when someone recalibrates what you are to them. I had been the broker he was going to call when he was ready. After that call, I was one of the brokers.
That owner listed with someone else three months later. I found out through a mutual contact.
Two years of staying in touch. A Christmas card. Three check-in calls. All of it built on the assumption that when he was ready, I would be the one he trusted. I lost it in a ten-minute phone call because I had not spent three minutes preparing for it.
Now think about the other version. The same owner calls while I am at lunch. I step outside, click once on his contact record and read while I walk to my car. His business expanded to a second location last spring. He is 61. By the time I pick up, I already know what I want to ask him.
That is the difference between a broker who seems to have everything under control and one who is catching up. Research This Contact is not a trick. It is three minutes of preparation compressed into thirty seconds.
I know that story is not unique. Every broker who has been doing this for more than a few years has a version of it. The problem is not discipline or dedication. It is time. We built Vertica CRM's AI Contact Research to close that gap. One click. About 30 seconds. A full picture.
The problem: manual research is a chore brokers skip
For every seller call that is carefully prepared for, there are five that happen on the fly. That is not a criticism of brokers. It is a consequence of how brokerage actually works.
Owners call back at odd hours. Buyers reply to drip campaigns at the least convenient moment. A prospect shows up in your calendar after two months of silence and you scheduled the call before you remembered to research them.
Good brokers do their best. But even when you do your research, you are stitching it together from four or five different places: a Google search, a LinkedIn profile, the company website, the state business registry, maybe a news article. None of those sources talk to each other. None of them save to the contact record. And none of them know what you already know about this person from your CRM.
There is also the broader problem: a database full of old, incomplete contacts. Phone numbers that have changed. Email addresses that bounce. Fields that were never filled in because nobody had time to look them up.
Research This Contact fixes both.
| Without AI Contact Research | With AI Contact Research |
|---|---|
| 10–20 minutes of manual research | ~30 seconds per contact |
| 5 separate browser tabs and sources | One structured briefing on the record |
| Nothing saved to the CRM | Results saved as a dated team note |
| Gaps in contact records stay empty | Empty fields filled automatically |
| Gmail address = drip sequence | Gmail address = family office, 4 acquisitions |
| Reputation risk on a bad introduction | Home value and location checked before you call |
What Research This Contact does
Research This Contact is a button on every contact record in Vertica CRM. Click it, and the system does the following, in about 30 seconds:
- Finds what is publicly known about the person and the business they own or represent
- Fills in empty fields on the contact record automatically
- Opens a one-screen profile organized for the call
It adapts to the contact type already set in Vertica. For a seller, it focuses on the business they own. For a buyer, it focuses on their background, their acquisition history and their ability to run a business. A contact who is both gets both views.
The result is not a web search pasted onto the screen. It is a structured briefing, with sources.
AI Contact Research: the seller profile
For a seller, Research This Contact looks at the person's ownership role, the business they run and what might be on their mind.
What it can fill in:
About the person
- Job title, ownership role (owner, partner, officer)
- Links to their LinkedIn and Facebook profiles
How to reach them
- Business phone, company email and address
- Verified personal email and mobile number (with an optional paid data service)
About the business
- Company name, website, address, industry and what the business does
- Locations and services offered
Size and history
- Years in business, entity type (LLC, corporation, etc.)
- Registered agent and officers
- Estimated revenue and employee count (with an optional paid data service)
Property
- Business property owned and its estimated value, where public records are available
What is happening now
- Recent news, awards, hiring activity, expansion and review trends
The profile panel shows a three-line summary of the business at the top, then a snapshot row with the numbers, then talking points: recent news, any signs of movement in the business and anything that might be relevant to a conversation about selling.
The business has been open for 22 years, expanded to a second location last spring and is hiring. Those three things can shape the first five minutes of a call.
AI Contact Research: the buyer profile
For a buyer, the focus shifts to contact intelligence. Business brokers spend less time thinking about buyer research, but it is just as important.
An NDA tells you a buyer's name and email address. It does not tell you whether they have ever run a business, what industries they know, whether they have bought a company before, or whether they are a corporate acquirer looking at dozens of deals simultaneously.
Research This Contact answers those questions before you send the CIM.
What it looks for in a buyer:
Buyer type
- Individual buyer, corporate or strategic acquirer, private equity firm, family office or search fund
Background
- Current and past roles, industries worked in, businesses owned or run, education and certifications where public
Acquisition history
- Past acquisitions or business purchases reported in the news, press releases or business registries
Firm details (for corporate and PE buyers)
- Company or fund name, website, industries and deal sizes they target, portfolio companies where published
Location
- Where they live and work, to judge fit with listings in your area
- Home property value and residence details from public records, where your firm has connected a property data service
One note: Research This Contact is not a background check, a credit check, or a replacement for the conversation you need to have. Proof of funds still comes from your normal buyer registration and documents. Home property data is not a substitute for any of that; it is a background signal, one more piece of context before you put your seller's time on the line.
What it does is help you decide who deserves that conversation in the first place.
Most NDA lists are top-heavy with individual buyers who are still figuring out whether they are serious. The ones who are (PE firms, family offices, strategic acquirers, repeat buyers who have closed before) are a small fraction of the total. They are also responsible for a disproportionate share of closings. Research This Contact tells you which fraction you are looking at before you spend time on a call.
Dan, a broker who recently joined Vertica, learned what happens when that signal is missing. He made an introduction between a buyer and one of his sellers after what seemed like a solid initial call. The buyer presented well: motivated, knowledgeable about the industry, serious in tone. The introduction was made. The seller invested time. And then the deal blew up. The buyer could not come close to qualifying.
What Dan did not know beforehand: the buyer's home address was three states from the listing, and the property value was well below what any lender would expect from someone acquiring a business at that price point. Neither fact appeared on the NDA. Both were publicly available on Zillow.
“Had I known the condition and location of his house, I would never have made that introduction.”
Dan, Vertica CRM broker
One click on that buyer's contact record (before the introduction, not after) would have surfaced both. But the cost of that one skipped step was not just a wasted afternoon.
Dan lost something harder to rebuild than a deal. That seller had trusted him with the most consequential financial decision of his life. After the introduction went wrong, the trust changed. The seller still worked with Dan, but asked more questions before agreeing to meet the next buyer. Watched more carefully. That is the tax on a broker's reputation that never shows up on a balance sheet, and it compounds over years.
A qualified buyer list protects your seller. It also protects the reputation that took years to build.
The buyer profile also includes quick-open buttons to view their LinkedIn and Facebook pages in your own browser, alongside the structured summary.
Eight ways to use AI Contact Research
The most obvious use is call preparation. But brokers who have used this feature find it useful across a wider range of situations.
- Prepare for a first call in seconds instead of spending 10 to 20 minutes searching online.
- Handle an unexpected callback by clicking once while the phone rings and reading the profile as you talk. A buyer replies to your drip campaign at 7am while you are on the highway. You click at the red light. His most recent acquisition was 14 months ago. He typically buys in the $2 million to $5 million range. You call him back already knowing what to ask.
- Qualify a seller before a meeting: see how long they have owned the business, its estimated size and anything recent in the news.
- Screen a buyer before sending an NDA or CIM: check their background and acquisition history against what they told you.
- Spot serious buyers: identify corporate acquirers, private equity firms and repeat buyers, and see what they have bought before. Your best listing has 40 NDAs. Three of those names are principals at PE-backed roll-ups who have each completed multiple acquisitions in your sector. Research This Contact puts those three at the top before you have made a single call.
- Match buyers to listings: see which of your listings fit a buyer's industry experience and acquisition history.
- Clean up and complete old contacts: fill missing titles, websites, phone numbers and addresses across your database.
- Research a whole group at once: select a list of contacts and research them in one step, within your monthly limit.
That last one matters for firms with large, aging databases. Contacts added years ago with partial information can be updated in bulk, without anyone spending a morning on data entry.
In our experience, use cases two and five come up most consistently. The unexpected callback happens almost every week for active brokers. The buried serious buyer in a stack of NDAs comes up less often. But when it does, being first to call with context already in hand is what turns a Gmail address into a closed deal.
When it changed the outcome: a real example
David (a name I changed) runs a mid-market brokerage in the Southwest. Last spring, an NDA request came in on one of his listings, a $1.8 million services business. The name on the form was a person's name, not a company. The stated reason for interest was vague. The email address was a personal Gmail.
David gets dozens of NDA requests like this every month. His standard process: send the NDA, wait for it to come back, put the buyer in the drip sequence. If they respond, good. If not, move on. A Gmail address with a vague note does not get priority.
This time, one of his brokers ran Research This Contact before the call.
What came back: the buyer was the managing director of a family office based in Phoenix. They had completed four acquisitions in the past three years, all services businesses in the $1 million to $3 million range, all in adjacent industries to the listing. Their most recent deal had closed eight months earlier. They used a personal email for initial inquiries as a matter of habit.
David called him before sending anything. He opened with what he knew, not in a way that felt invasive, but in a way that told the buyer he had done his homework. The buyer was surprised. And pleased.
They were in LOI within six days. The deal closed four months later.
“If I had just sent the NDA and put him in the drip, I probably would have followed up in six weeks. Someone else would have gotten there first.”
David, mid-market broker
The research took one click and about 30 seconds. The Gmail address would have buried that buyer in a sequence he would have eventually ignored.
Does AI Contact Research change your existing CRM data?
The most common question brokers ask when they hear about this feature is: what happens to what I already have?
The answer is: nothing changes without your approval.
Suggested updates appear next to the contact record. You accept or ignore each one. If a field already has a value you entered, any new finding is shown as a suggestion only; it never replaces what is there.
Every fact shows its source. If the system found that the owner has been in business for 18 years, you can click the source and see exactly where that number came from. If you disagree with it, you ignore the suggestion.
Research is saved as a dated note on the contact record. This matters for firms with more than one broker. If a colleague researched this person last week, you see their note before you click. Nobody pays or waits to research the same person twice.
For principals and firm owners, there is an additional layer: a usage screen breaks down lookups by broker and by data service, so you can see at a glance how the team is using the feature and where the value is concentrated. For multi-broker firms, the shared research record is often the first thing brokers tell us about when explaining why they made the switch.
What it may not surface
The feature works from what is publicly available online. For some contacts, that is not much.
Very small businesses with no website, no news coverage and no public business listings will return limited results. A sole proprietor who has operated under a DBA for fifteen years may have almost no public footprint to draw from.
Contacts with common names can produce ambiguous results. The system does its best to match the right person to the record, but for a name like Michael Johnson in a large metropolitan area, the confidence level may be lower.
Individual buyers (people not operating under a fund or firm name) leave less of a public trail than corporate acquirers, PE firms and family offices. The buyer profile is most useful when the buyer has a professional history worth finding.
The feature is designed to surface what exists. When the public record is thin, it says so. A buyer with no detectable footprint is itself a signal worth having before you make an introduction.
What does AI Contact Research cost?
Research This Contact works out of the box, with no account setup and no additional cost, by reading information that is openly available online: search results, the contact's own company website, public business listings, state business registries, news and county property records where they are published.
For firms that want more (verified email addresses, mobile numbers, estimated revenue, employee count), there is an option to connect a paid data service your firm already subscribes to or chooses to add. Contact intelligence platforms that connect include Apollo, ZoomInfo, Clay, RocketReach, People Data Labs, PeopleSearch and similar services. For firms already paying for Apollo or ZoomInfo directly, Research This Contact connects to those existing subscriptions rather than replacing them: you get the same data enrichment inside the CRM, organized for the call, without switching tabs.
For property data, Zillow connects to the buyer profile, surfacing a buyer's home address, property value, residence details and condition from public records, as a background signal before you make an introduction. County property records feed the seller property section separately. Those connections are set up by your firm administrator in a data connections settings page, and each service is billed directly by that provider to your firm, so the cost is fully transparent and there is no markup.
Your firm controls the monthly usage limits, so no one broker runs up an unexpected bill. A usage screen shows lookups by user and by service.
The result is a feature that gives every firm something useful immediately, and scales with the firm's appetite for more detail.
Key takeaways
- Research This Contact runs in about 30 seconds and saves to the contact record; the whole team sees it, once
- Nothing in your existing CRM data changes without your approval; every suggestion shows its source
- Buyer vetting with property data prevents bad introductions that cost you seller trust and years of reputation
- Serious acquirers (PE firms, family offices, repeat buyers) represent a small fraction of NDA lists but the majority of closings
- The free version uses public sources; Apollo, ZoomInfo, Clay and similar platforms can be connected for verified contacts, revenue estimates and property data
Getting started: Research This Contact is active on every Vertica CRM account with no setup required for the free public research. A firm administrator connects optional paid data services from the data connections page in account settings; each service takes a few minutes to link and is controlled per firm.
Bulk Research: enriching a whole list at once
The Research This Contact button handles one person at a time. That works well before a call, or when a new lead comes in and you want background before you respond. But sometimes the situation is different: you have just imported 80 businesses from Prospect Finder and none of them have owner emails yet, or you pulled a marketing list from an old data source and want to fill in the gaps before the campaign starts. Clicking through 80 contacts one at a time is not a workflow. That is what Bulk Research is for.
Bulk Research runs the same contact research process as the single-contact button, applied to an entire marketing list in one operation. You choose the list, review the estimate, and click Start Research. Vertica works through the contacts in the background, within your firm’s monthly research limit, and updates each record as it finishes.
The estimate step
Before any research runs, Vertica shows you an estimate. Select a list and the right panel updates immediately: how many contacts are on the list, how many qualify for research based on the data already in their records, and how many of those would count against your monthly limit. Nothing is charged or consumed until you click Start Research. If the numbers look off, switch to a different list or close the screen and add more data to the contacts first.
The eligibility rule is straightforward: a contact is researched only if at least one of the following is already on their record: an email address, a phone number, a company name, a website, or a city and state together. Contacts with none of those fields are skipped. This is by design. Contact research works by finding someone across public sources, and it needs at least one anchor to match against. A contact with no data at all cannot be found reliably, and skipping those rather than attempting them keeps your monthly limit from being consumed on records that will not return useful results.
Monthly limit
Each research run counts against your firm’s monthly contact research limit. The estimate screen shows how many credits the selected list would use before you commit. Runs are capped at 100 contacts per batch, so a list of 300 contacts would take three separate runs across the month if needed. The limit resets on your billing date.
When to use Bulk Research
The most common case is after a Prospect Finder import. When you bring in 50 or 100 businesses from a search, those records arrive with owner names, company names, and phone numbers from public sources. What they often lack is an email address and a fuller picture of who the owner is. Running Bulk Research on the import list fills in those gaps: email addresses where available, LinkedIn profiles, background details, and business context. The contacts come out of the run ready for a personalized outreach instead of a cold call from a data row.
The second case is database cleanup. If your CRM has a marketing list from two or three years ago, those records may be stale or thin. Owner names may have changed. Phone numbers disconnect. A bulk research run refreshes what it can find from current public sources and surfaces which contacts have recent activity versus which have gone quiet. That takes a list you might have written off and turns it into a usable segment again.
A third case comes up less often but matters: when a broker joins your firm and brings a contact list with them. The records exist, but they were kept in a spreadsheet or another system and the data is uneven. Bulk Research fills in what it can find before those contacts get folded into your active marketing.
See it on a contact from your own pipeline
The most honest demo I can give you is on someone you are actually preparing to call. Bring me a seller's name (or a buyer who just signed an NDA) and we will run Research This Contact on them together.
Schedule a Demo Questions? Call our office at +1 212 381 4994.Frequently asked questions about AI Contact Research
What is Vertica CRM's AI Contact Research?
AI Contact Research is a one-click feature on every contact record in Vertica CRM. It builds a sourced profile of a seller or buyer in about 30 seconds, drawing from public records and optional paid data services, and fills in empty fields on the contact record. The profile is organized around the call: a summary, a business snapshot and talking points.
Does it overwrite information I already have?
No. Your existing entries are never overwritten. If a field already has a value, any new finding is shown as a suggestion you can accept or ignore. Nothing changes on the contact record until you approve it.
Where does the information come from?
By default, it comes from information that is openly available online: the contact's company website, public business listings, state registries, news and county property records where published. Firms can optionally connect paid data services for verified contact details and revenue estimates.
Is there an extra cost?
The free public research is included. Paid data services are optional and billed directly by the data provider to your firm, so the cost is transparent. Your firm sets monthly usage limits to control spend.
Does it work for buyers as well as sellers?
Yes. For a seller, the profile focuses on the business they own and signs of readiness to sell. For a buyer, it focuses on their background, acquisition history and buyer type. A contact who is both gets both views.
Can I research multiple contacts at once?
Yes. You can select a list of contacts and research them in one step, within your firm's monthly limit. This is useful for cleaning up an older database or preparing a whole batch of outreach contacts.
How does it help my whole team?
Research results are saved as a dated note on the contact record, visible to everyone on your team. Nobody pays or waits to research the same person twice, and colleagues picking up a contact mid-deal can see what was found and when.
Does Vertica log in to LinkedIn or other sites to get information?
No. Vertica does not log in to LinkedIn, Facebook, Zillow or any other site or work around their protections. For those sites, the profile gives you one-click buttons to open the page in your own browser.
How do business brokers typically research buyers before an introduction?
Most brokers rely on the NDA form, a Google search and LinkedIn, none of which save to the contact record, and each can take 10 to 20 minutes. AI Contact Research compresses that into one click and 30 seconds, pulling from public records and optional paid data services and saving the result as a dated note visible to the whole team. The feature works equally well before the first call or before a formal introduction.
What is contact enrichment in a business broker CRM?
Contact enrichment (also called data enrichment or lead enrichment) is the process of filling in missing or outdated information on a contact record by pulling from external data sources. In a business broker CRM, enrichment also includes deal-specific data: ownership role, acquisition history, buyer type and signals that may indicate readiness to sell or buy. Vertica CRM's AI Contact Research is on-demand contact enrichment built specifically for brokers, run when the broker chooses rather than on a background schedule.
How can I qualify a buyer without asking for financial documents upfront?
Most brokers send an NDA and wait for the buyer to engage, but NDAs collect almost no qualifying information. AI Contact Research fills that gap: it surfaces a buyer's background, acquisition history, buyer type and home property details before the first call, without asking the buyer for anything they would not want to share at that stage. Proof of funds and formal qualification still happen through your normal buyer registration process. Contact research tells you which buyers are worth getting there with.
What information should I collect on a buyer before making an introduction to a seller?
Before an introduction, the minimum is a signed NDA, which gives you the buyer's name, email and stated interest, and not much else. AI Contact Research goes further without asking the buyer for anything: it surfaces their professional background, acquisition history, buyer type, firm details and home property data from public records. The goal is to know whether this buyer is likely to qualify before you put the seller's time on the line. Formal proof of funds and financial documents come through your normal buyer registration process.
How do I screen buyers for a business listing?
Buyer screening at the contact research stage means checking three things: does this buyer have relevant business experience, have they made acquisitions before, and are they financially realistic for this listing? AI Contact Research answers the first two from public data: background, acquisition history, buyer type, firm details. A connected property data service like Zillow adds the third as a rough financial proxy before you make an introduction. Formal qualification still requires proof of funds, but contact research before the first call keeps unqualified buyers from consuming seller and broker time.
Research This Contact works when you already have a name. The companion feature starts one step earlier: you describe the kind of seller or buyer you are looking for and it builds you the list to research. The next article covers that feature.