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 routes it to an operator review queue. Nothing auto-sends. 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.