AI personalization
Personalized openers built from real fields: mutual connections, group overlap, role transitions. Operator review queue before every send.
In one sentence
Quillreach's AI personalization drafts every message and parks it in an operator review queue for a person to approve, which is the default for every AI step. Variables pull from real LinkedIn fields, not surface-scraped 'congrats on the new role' filler.
Tools that auto-send AI-drafted openers produce text a target spots in two seconds: generic compliments about a recent post, vague references to a company milestone scraped from a press release. Reply rates crater because the message reads like a model wrote it. The fix isn't a better model; it's an operator deciding whether each draft is good enough to send.
When a sequence reaches a personalized step, the AI drafts a message using your prompt template plus the lead's variables. The draft lands in a review queue with a one-keystroke approve / edit / skip flow. Approved messages send on the sequence's scheduled cadence; edited messages send with your changes; skipped leads get a fallback non-personalized template (or drop out of the step entirely, your call).
Mutual connections, shared groups, recent role transitions, profile location, company size + industry, posts the lead engaged with in the last 30 days, and anything you've imported into a custom field via CSV. The variable picker in the sequence builder is searchable; start typing 'mutual' and it surfaces every related field.
$59 per seat per month. 14-day free trial, no credit card.