Build a qualified prospect list with an AI agent
A Monmo agent can build your prospect list. You describe the ideal customer, and it searches the web for companies that fit, reads each company's site and recent news, finds the person who holds the right role and scores the fit against your criteria. You get a Google Sheet of, say, fifty companies with a reason and a source for every row.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
How the agent does it
- 01
You define a good lead
Give it the criteria in a sentence or two: outdoor retailers in Japan with ten or more stores that sell drinkware, and the buyer or head of merchandising. It turns that into a checklist and shows it to you.
- 02
It finds candidate companies
The agent searches directories, trade association lists, marketplace seller pages and news in its own browser. It gathers more candidates than you asked for, because many will drop out later.
- 03
It researches each company
For every candidate it reads the site: what they sell, how many locations, where they operate, signs of size such as job adverts. It notes one recent fact worth mentioning, for example three new stores in Osaka.
- 04
It identifies the contact
It looks for whoever holds the role on the company's team page, in press coverage and on LinkedIn, and records the name, title and profile link. A published work email is added. Addresses are never made up.
- 05
It scores the fit
Each row gets a score from your checklist and a one-line reason: twelve stores, stocks two rival brands, opened a drinkware section in spring. Companies that miss a must-have are listed separately, not deleted.
- 06
It marks what you already have
The list is compared with the contacts and companies in HubSpot, which the agent can read without asking. Existing customers and open deals are marked, so nobody is approached twice.
- 07
It hands over the sheet
You get the list as a spreadsheet with a source link in every row. Creating it in your Google Sheets, or adding the leads to HubSpot, waits for your approval.
What the list contains
- Fifty companies, or the number you asked for, each with size, location and what it sells
- A named contact with title and profile link, and a published email where one exists
- A fit score with the reason in one line
- One recent fact per company to open a conversation with
- A source link for every detail, and a mark on companies already in your CRM
When it asks you
The agent searches, reads and scores on its own. It stops to ask before it creates the sheet in your Google account and before it adds companies or contacts to HubSpot, where one card can cover the batch. It contacts nobody in this job.
How to ask
- Find 50 outdoor retailers in Japan with ten or more stores. For each, give me the buyer's name and title, store count, a recent news item and a fit score. Put it in a sheet.
- Here are our ten best customers. Find 30 companies in Germany that look like them and tell me, for each one, why it is similar.
- Research these 20 companies from the conference list: size, what they do, who leads operations and anything announced in the last three months.
Watch it work
A sample replay with example data, sped up. Pause it, scrub through it, or take the mouse yourself.
On screen
LinkedIn
Google Sheets
Gmail
Pick a job. Watch it get done.
- Why
- The outreach you asked for. Each one is personal and has an unsubscribe line.
- Where
- Your Gmail · 20 people at 17 companies
- What to expect
- Sends 20 emails now. Follow-ups wait for your approval in 3 days. LinkedIn notes stay as drafts for you to send.
Your team. Connected to everything.
Logistics outreach — February+Sample replays with fictional data, sped up. Pause one, scrub through it, or take the mouse yourself.
Questions people ask
Can an AI agent find and research sales leads?
Yes. A Monmo agent searches the web for companies that match your criteria, reads their sites and news, identifies the right contact and scores each one. It returns a list with sources. Deciding whom to approach, and making the approach, are separate steps. The agent can draft outreach, but nothing is sent without your approval.
Where does the lead data come from?
From public sources the agent reads in its own browser: company websites, directories, trade associations, news and professional profiles. Each detail in the sheet carries the link it came from. If you subscribe to a data provider that is in the app directory, you can connect it and the agent will use that as well.
Does the agent use LinkedIn to find contacts?
It researches people and companies there as part of building the list, and records the profile link. It does not send connection requests or messages in bulk. If you want to reach someone on LinkedIn, the agent drafts the message and prepares it for you to review and send.
How accurate is a prospect list built by an AI agent?
Treat it as researched, not verified. People change jobs and websites go out of date, so each row shows where and when the detail was found, and uncertain matches are flagged. Spot-check a handful of rows before you rely on the list, and tell the agent what it got wrong so that it tightens the criteria.
Is it legal to collect business contact details this way?
Rules on business contact data differ by country, and you are responsible for how the list is used. The agent keeps to published business details, records the source of each one and deletes a person from the list when you ask. If you work under GDPR or similar rules, check your basis for holding the data before outreach begins.