Cold email outreach with an AI agent, sent after you approve
A Monmo agent can prepare and run a cold email campaign. It researches each prospect on your list, writes a first email that refers to something true about their business, and drafts two follow-ups. You read the batch and approve it before anything is sent from your Gmail. Replies are sorted and logged, and anyone who asks to stop is taken out of every later batch.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
How the agent does it
- 01
It starts from a list you trust
Give it a Google Sheet of prospects, or have it build one first. Before a word is written, the agent takes out duplicates, existing customers found in HubSpot and anyone on your do-not-contact list.
- 02
It researches each person
For every row it reads the company's site and recent news and looks for one specific, checkable reason to write: a new store, a job advert, a product launch. If there is none, it says so and suggests leaving that prospect out.
- 03
It writes the first email
Each message is short, about ninety words: why you are writing to this person in particular, what you offer in one sentence, and one clear question. It uses your voice and only the proof points you gave it.
- 04
It drafts the follow-ups
Two follow-ups are drafted for each prospect, for three and seven working days later. When the day comes, the agent shows you that day's follow-ups as a batch of their own to approve.
- 05
You approve the batch
One card lists the emails, for example twenty-five first messages, each with its recipient, subject and body. You can rewrite a message or take a recipient out before you allow the batch. Until then, every email stays a draft.
- 06
It sends and watches for replies
Approved emails go out from your own Gmail address. When a reply arrives, the agent reads it, drops that person's remaining follow-ups and sorts the reply: interested, not now, wrong person or stop.
- 07
It logs the campaign and drafts answers
Each send and each reply is recorded in the campaign sheet. Interested replies get a draft answer with times for a call. Sending those answers and updating HubSpot both wait for your approval.
What you have at the end of a campaign
- A cleaned prospect list, with duplicates, customers and do-not-contact names taken out
- A first email and two follow-ups per prospect, each tied to a fact about that company
- Emails sent from your own address, only in batches you approved
- Replies sorted into interested, not now, wrong person and stop, with draft answers
- A campaign log: who was emailed, when, and what came back
When it asks you
Research and writing need no approval. Sending always does: one card covers the batch, and you can open, edit or remove any email first. Follow-ups are approved as their own batch on the day they are due, and HubSpot updates and replies to prospects wait for you in the same way.
How to ask
- Take the 50 retailers in the prospect sheet. Research each one, write a first email of under 100 words and two follow-ups. Show me the first 25 to approve before anything is sent.
- When someone replies to the outreach, read it and tell me. If they are interested, draft a reply offering three times for a call next week.
- Every Friday at 16:00, report on this week's outreach: sent, replied, interested, asked to stop. Suggest one change to the opening line.
Watch it work
A sample replay with example data, sped up. Pause it, scrub through it, or take the mouse yourself.
On screenLinkedIn
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.
Sample replays with fictional data, sped up. Pause one, scrub through it, or take the mouse yourself.
Questions people ask
Can an AI agent send cold emails for me?
It prepares the campaign and sends once you approve. A Monmo agent researches each prospect, writes the first email and the follow-ups, and shows you the batch on one card. You can edit or remove any message. After you allow it, the emails go from your own Gmail or Outlook address, and replies are read and sorted.
Are cold emails written by an AI agent really personalised?
Each one refers to something the agent found and can point to: a store opening, a hiring push, a product the company launched. The source link is kept beside the draft, so you can check it. Where it finds nothing specific, it tells you and recommends skipping that prospect over sending a generic message.
Does the agent respect unsubscribe requests?
Yes. A reply asking to stop, in whatever words, moves that person to your do-not-contact list, and their remaining follow-ups are dropped. The list is checked before every later campaign. Your emails should carry an opt-out line and your business details. The agent adds them to every draft if you ask it to.
Is cold email legal?
It depends on where the recipient is and who they are. Laws such as CAN-SPAM in the United States, GDPR and ePrivacy rules in Europe, and Japan's rules on specified electronic mail set different conditions on consent, identification and opt-out. You are responsible for meeting them. You can tell the agent to limit a campaign to the countries and contact types you have cleared.
How many emails will it send, and will they reach the inbox?
You set the batch size, and small batches of well-researched emails are the sensible way to start. Whether a message reaches the inbox depends on your domain, your sending history and the recipient's filters, which the agent does not control. It will not send more than the batch you approved.