Write short, specific cold emails that actually get replies.
A cold email works when it is short, obviously written for one specific person, and asks for something small. Most cold emails fail because they lead with the sender's company instead of the recipient's situation, and because they ask for a 30-minute meeting from a stranger.
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A free AI cold email generator for B2B sales teams and founders. Tell it who you are reaching out to, what you offer, and any context (you can attach a case study, deck, or notes as a PDF or document), and it writes a short, specific cold email with subject line options. No spam, no filler like 'I hope this finds you well', no signup.
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The typical cold email opens with the sender. "I'm Nathan from Acme, we help companies streamline their workflows." The recipient has now read one sentence about a stranger and a category description that fits a thousand companies. There is no reason to continue.
The second failure is the ask. Requesting 30 minutes from someone who has never heard of you is a large request disguised as a small one, because a meeting costs the recipient not just the half hour but the scheduling, the context switch, and the awkwardness of declining a pitch in real time.
The third is fake personalization. Mentioning someone's dog, their recent marathon, or their alma mater in the opening line signals that you scraped their profile, not that you understand their job. Recipients recognize the pattern instantly, and it damages trust more than a plainly generic email would.
Open with an observation about them. Not a compliment, an observation with implications. "Saw you have three SRE roles open" works because it is factual, specific, and connects to a problem you can speak to. This is the entire personalization budget, and it should be spent on something professionally relevant.
Make the relevance explicit in one line. Say why that observation made you write. The reader should never have to work out the connection between your opener and your reason for emailing.
Offer proof, briefly. One sentence on what happens for teams in that situation, ideally with a number. Not a case study, not three logos, one line.
Ask for something small. Permission to send something, a yes or no question, a one-line reply. "Want me to send the list?" costs the recipient almost nothing and starts a conversation that a calendar link cannot.
Keep the body between 50 and 125 words. Cold emails are mostly read on phones between other tasks. A message that fills the screen gets postponed, and postponed means never.
Subject lines should be short, lowercase-plain, and specific to them: "3 SRE openings" rather than "Transforming Incident Management for Modern Engineering Teams." Subject lines that read like marketing get filtered by both spam systems and humans. Our subject line generator handles this part specifically.
Follow up two or three times, spaced several days apart, and add something each time rather than "just bumping this." A follow-up that includes a new observation or a useful resource is a second email. A follow-up that only asks again is a nag, and it is the fastest way to get marked as spam.
The output quality depends almost entirely on the observation you feed it. Give it the specific trigger: a job posting, a funding round, a product launch, a comment they made, a problem visible from outside. Without that, it can only produce a competent generic email, which is still a generic email.
Also tell it what you actually do and the outcome you produce, in plain words with a number if you have one. Vague inputs produce vague value propositions, and the value line is where most cold emails collapse.
Then cut. Whatever comes back, delete the sentence you like least and see if the email still works. It almost always does, and shorter almost always performs better. For the broader system around sending these, the AI cold email guide covers sequencing and what to automate versus keep human.