Every message feels written for that one person.

Generic outreach gets ignored. GetReplies lets you write messages with variables that pull in each contact’s specific data — their job title, company, LinkedIn headline, or anything else in your list — and uses AI to generate personalised lines that no template tool can produce at scale.

What it solves

Most teams send the same message to everyone with a first name swapped in. Prospects see through it immediately. Real personalization requires research — which doesn’t scale manually and is too expensive to outsource for every contact in a list of hundreds.

• Messages that feel templated even when they’re not
• Research sitting in a spreadsheet that never makes it into the outreach
• AI tools that generate one message at a time, outside the campaign workflow
• No fallback when a contact’s data is incomplete

How GetReplies handles it

Custom variables from your own data

Any column in your contact list — pain point, use case, recent funding, buying signal, tech stack — can be mapped as a custom variable and inserted into any message with a slash command. If your research lives in a spreadsheet, it can go directly into your outreach without copying and pasting a single line. Every contact receives a message with their specific data filled in, not a placeholder that reads like a placeholder.

AI-generated icebreakers from a prompt

For contacts where you want an opening line that reads as genuinely individual, you write a prompt once — “generate a one-sentence opening using this contact’s job title and LinkedIn headline” — and GetReplies generates a unique line for every contact at send time. You set a fallback for contacts with incomplete data so nothing goes out blank. Preview any contact’s version before the campaign launches to check quality before it runs.

Agent-generated messages from your Knowledge Base

Instead of writing messages from scratch, you can chat with the campaign agent and it generates your full sequence for you — drawing from the product, case studies, and context you’ve added to your Knowledge Base. The output is around 80–90% ready. You review, adjust tone or specificity where needed, and launch. The more your Knowledge Base contains, the less manual work the message writing requires.

What’s included at every plan

• Built-in variables — first name, last name, company, job title, LinkedIn headline
• Custom variables — any column from your CSV mapped directly into messages
• AI personalization variables — prompt-driven, generated per contact at send time
• Fallback text — set a default for every variable when contact data is missing
• Per-contact message preview — see exactly what each contact will receive before launch