Step 1
Outly reads each prospect's profile
Before drafting anything, Outly pulls job title, company, career history, and recent activity directly from their LinkedIn profile.
Messages That Sound Like You Wrote Them Yourself
Outly reads each prospect's LinkedIn profile and writes a message built around their actual role, company, and experience. No templates. No generic intros. Just outreach that gets replies.
How Outly writes messages people actually want to read
Step 2
AI writes a message built around that person
Every draft references something real about the prospect so the message feels like research, not a template.
Step 3
You review and approve before it sends
Edit the tone, swap a line, or approve as-is. Nothing leaves your queue without your sign-off.
Why personalization at scale changes the results
01
No more copy-paste personalization
Stop manually inserting names and company references into templates. Outly handles the research and the writing.
02
Quality that holds at volume
Whether you send 10 messages or 300 a week, each one reads like it was written specifically for that person.
03
You stay in control of the voice
Every AI draft goes through your review queue first. You can edit freely before approving.
What your outreach looks like after switching
The difference shows up in reply rates, not just in how the messages read.
Higher reply rates
Prospects respond when a message references something real about them instead of a generic opener.
No more template fatigue
Your outreach stays fresh because every message is written from scratch against live profile data.
Faster review, not more work
Reviewing a message that is already 90% right takes seconds. Starting from blank is what slows teams down.
AI personalization FAQs
Outly reads the prospect's LinkedIn profile including their current role, company, career history, and any recent posts or activity to write a message that references something real.
