Personalize cold email at scale, grounded in real signals, not invented details.
Most AI writers fill the blank with whatever sounds plausible, and buyers spot the made up line instantly. Salesgear researches each contact first, then writes every line from a fact it found, so the personalization is true at the depth of one rep and the volume of your whole list.
Empowering 1,000+ sales leaders and representatives to build a stronger sales pipeline.
The same sentence, written two ways
A write-only assistant invents a plausible detail to fill the template. Salesgear writes the same line from a signal it actually found, and shows you where each one came from.
Loved seeing your big push into the European market this quarter. Most teams your size are rethinking outbound right now.
There was no European push. The model guessed a detail that fit the sentence, and the buyer deleted the email the moment they saw it was not true.
Saw your post on cutting SDR ramp time after the Series B, and the two AE roles you just opened. That speed is exactly where this fits.
Every line traces to a real signal, so the message holds up when the buyer reads closely.
Built on owned data and 100+ sources per contact
Personalization is only as good as the data under it. Salesgear researches each contact across 100+ sources, anchored on 800M+ owned contacts, so the facts you reference are current and real, not a hallucinated guess.
- A real, recent signal, the funding round, the new hire, the post from last week, pulled from sources instead of invented to fit the sentence.
- 800M+ owned contacts at 95% mobile direct-dial accuracy, so you are writing to real, current people, not stale rows.
- Research and writing in one place, so the writer is grounded in the data and nothing falls through the seam between two tools.
The same depth across the whole list, not one prompt at a time
Personalizing by hand stops at the reps you can hire. Salesgear runs the same research and writing on every contact in your list at once, so contact number 1,000 gets the same depth as the first.
Relevance becomes the thing you cut the moment volume goes up.
Volume and relevance together, with ~80% less research time per contact.
Written in your voice, sent across channels
Personalization is only half the job. Salesgear writes in your voice and sends across the channels your buyer actually answers, so the relevance you built carries through to the reply, not just the draft.
- Your voice, not a generated tone, so the message reads like you spent an hour on the person, at the volume of your whole list.
- Email and calls in one flow, so the signal that opened the email is the same context you call on, with 95% mobile direct dials.
- 3 to 5x reply rates over templated sequences, because every touch is true and reads like it was written for that person.
AI personalization, answered
How do I personalize cold email at scale?
Salesgear researches each contact across 100+ sources, surfaces the one signal worth opening on, and writes the line for you, in your voice. The same depth runs across your whole list at once, so personalization stops being the thing you cut when the list gets long.
Will AI personalization hallucinate and invent details?
No. Every personalized line is grounded in deep research and traces back to a real, sourced signal, a recent post, a funding round, a hire. Salesgear writes from facts it found, not a blank it fills with whatever sounds plausible, so the message holds up when the buyer reads closely.
Is this just merge fields with a first name swapped in?
No. Merge fields drop a name into a fixed template. Salesgear writes a fresh angle per contact from this quarter's signals, framed in their language and their priorities, so the message is about them, not a mail-merge field with their name in it.
Does sending at that volume hurt relevance?
It does not. The research depth is the same on contact number 1 and contact number 1,000, because the work is done for you, not typed one prompt at a time. You get relevance and volume together instead of trading one for the other.
See the research behind one line
Pick one real prospect. Watch the research come back, then read a first line that traces to a real signal instead of a guess, written in your voice.
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