AI Research Agent: Prospect Research Before Every Sales Call
An AI research agent builds a one-page brief before each sales call from public business info. The template, trusted sources and privacy limits.
An AI research agent reads up on a prospect before your sales call and hands you a one-page brief. It covers who the company is, who you are meeting, what has changed lately, what their website says and the problems they probably have. A rep reads it in two minutes and walks in sounding prepared instead of generic.
For a service business, this is not enterprise account research. It is the quote visit, the accountant's discovery call or the agency's first meeting, where knowing three useful facts about the other person changes the whole conversation.
What does an AI research agent pull?
When a call is booked, the agent starts with what you already have: the enquiry, the form answers and any history in your CRM. Then it looks outward at public business information.
- The company: what they do, where they operate, size signals and how long they have traded.
- The person: their role and time in it, from the company site and their public professional profile.
- Recent news: new locations, key hires, awards, press coverage or a new service.
- Their website: services, who they target, how they take enquiries and any prices they publish.
- Likely problems: the agent's best guess based on all of the above, clearly labelled as a guess.
- Your history: past enquiries, quotes, emails and calls already logged in the CRM.
What should the one-page call brief look like?
Keep it to one screen. If the rep has to scroll, they will not read it in the car park before the meeting. Here is the template we start from.
| Section | What goes in | Length |
|---|---|---|
| Snapshot | Company, what they do, location, size signal, website | 2 lines |
| Who you are meeting | Name, role, time in role, anything they have said publicly about their work | 2 lines |
| Why they enquired | Their own words from the form or call, plus the lead source | 1 to 2 lines |
| What has changed | Up to three public facts, each with a date and a link | 3 bullets |
| Likely problems | Best guesses, each tied to evidence and marked as a guess | 3 bullets |
| History with you | Past contact, quotes and outcomes | 1 to 2 lines |
| Questions to ask | Three questions built from the sections above | 3 bullets |
| Watch-outs | Sensitive news, a past complaint, a competitor already in place | As needed |
| Sources | A link for every fact in the brief | List |
The sources row is not optional. If a fact has no link, the rep cannot check it. Repeating a wrong fact to a prospect is worse than knowing nothing at all.
Which sources should a research agent trust?
Not all public information is equal. Tell the agent where to look and in what order, and make it say where each fact came from.
| Trust level | Source | Why |
|---|---|---|
| High | The company's own website, the ABN register, your CRM | First-hand or official |
| Medium | The person's professional profile, local news, industry association listings | Usually right, can be out of date |
| Low | Review sites, directories, forums | Mixed quality, often old or anonymous |
| Do not use | Personal social media, family details, data broker lists, anything behind a login | Out of bounds, and creepy on a sales call |
Dates matter as much as sources. A "recent expansion" from three years ago makes the rep look out of touch. Ask the agent to put a date next to every news item and drop anything older than a year unless it is core to the business.
Where are the privacy limits?
Stick to public business information: the company, and the person in their work role. That keeps the brief useful and keeps you inside what people expect.
Public does not mean free of rules. The OAIC explains what counts as personal information, and a named person's details are covered even when they are easy to find. If the Privacy Act covers your business, the OAIC's guidelines on APP 3, collecting personal information say to collect only what is reasonably necessary for your functions or activities, by lawful and fair means. A booked call gives you a clear reason to check relevant business details. Collect only what you need. A file on their weekend is not.
Two more rules cover most of the rest. Nothing goes in the brief you would be embarrassed for the prospect to read. And the agent runs on a business account with proper data terms, not a free consumer chat tool. The OAIC's guidance on commercially available AI products recommends against putting personal information into publicly available generative AI tools.
How does a rep use the brief in two minutes?
- Read the snapshot and why they enquired (30 seconds). This sets the frame for the call.
- Pick one recent fact to mention (30 seconds). "I saw you opened a second clinic" lands better than "tell me about your business".
- Choose two of the three questions (30 seconds). Drop the one that does not fit.
- Check the watch-outs (30 seconds). Avoid stepping on something sensitive.
Then put the brief away. The point is to listen better, not to recite research. A prospect who feels studied gets wary. One who feels understood keeps talking. If you run every call yourself, this is one of the easiest ways to win back prep time, a problem we covered in doing all the sales calls myself.
When is a research agent not worth it?
For small, fast jobs where the call takes two minutes and the price is on your website, a brief is overkill. The same goes for repeat customers you already know well. Research earns its place on bigger work: consults, larger quotes, B2B services and anything with a longer sales conversation. It also pairs well with outbound timing, where the same agent can spot the buying signals we wrote about in signal-based outbound for Australian B2B.
Where Njin fits
We build an AI research agent that preps every sales call inside your CRM. When a call is booked, the brief lands on the contact record and in the rep's inbox before the meeting, with a source on every line and the privacy limits built in. It works alongside the other agents in a sales system, such as the AI sales agent that books the call in the first place.
Common questions
What is an AI research agent?
It is an AI tool that gathers and summarises information on a topic without you running each search yourself. In sales, it researches a prospect before a call and produces a short brief with sources. It saves prep time and makes the first few minutes of a call more relevant.
Is it legal to research prospects with AI in Australia?
Researching public business information for a call someone booked is ordinary sales prep. If the Privacy Act covers your business, collect only what you reasonably need and collect it fairly. Keep it secure too. Stay away from personal social media and anything that would surprise the person.
How accurate is AI prospect research?
It is only as good as its sources, and it can get things wrong or out of date. That is why every fact in the brief should carry a link and a date. Treat the likely problems section as ideas to test on the call, not facts.
Can an AI research agent find a prospect's phone number or email?
It can find contact details a business publishes, like a main line or an enquiries address. Hunting down personal mobiles or private emails is a different matter, and using them for marketing runs into the Spam Act and Do Not Call rules. For inbound leads you already have their details from the enquiry.
Not sure your team has time to prepare for every call? Take the free AI readiness check. Want every booked call to come with a brief? Book a call.
