The archive
Playbooks you can run this week, benchmarks you can hold your team to, and honest teardowns of where AI actually helps a LinkedIn conversation, and where it does not.
Showing 1–9 of 12 posts
A practitioner guide to LinkedIn outbound in 2026: list building, connection limits, sequencing, reply handling and the metrics that actually predict booked demos.
A LinkedIn outreach strategy built on positioning, list definition and message frameworks, with example messages, cadence limits and where automation fits.
How to evaluate AI SDR tools before you buy: a criteria framework, the three tool archetypes, and how to run a pilot that produces a real answer.
How many follow ups to send, when to send them, and what each one should say: a complete cold email follow up playbook with a default schedule and templates.
What separates AI sales agents from automation, the read-decide-send loop they run, autonomy levels from draft to autosend, and the guardrails that keep them safe.
An AI SDR handles research, first touches, replies, qualification, and booking. Here is what the role covers, what stays human, and how to decide if you need one.
What an AI sales assistant does well, where a copilot stops being enough, and an honest framework for choosing between assistant, supervised agent, and autosend.
A practical method to train an AI sales clone: capturing voice, loading the right knowledge, writing guardrails, and knowing when it is safe to switch to autosend.
Speed to lead decides more LinkedIn meetings than copy does. How response time decays conversion, how to measure it honestly, and how to get under 15 minutes.
One email with a reply-rate benchmark, a sequence teardown and the LinkedIn changes worth caring about. No fluff, unsubscribe anytime.
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Replaiy is the AI conversation layer for outbound sales. It handles your LinkedIn replies in your own voice to book more demos and calls.