The generation, review, and dispatch of personalised LinkedIn outreach emails, based on prospect-specific data points like job title, company, industry, recent activity, or shared interests.
Pulls details like name, title, company, industry, recent posts, mutual connections, or shared interests into a structured format.
This becomes the personalisation layer GPT-4o will build upon.
Stores and organises lead data in rows, along with specific prompt instructions (e.g., tone: friendly, CTA: intro call). Enables batch processing while allowing per-lead nuance.
A lightweight but scalable CRM-meets-prompt-engine.
Writes highly contextual outreach emails based on lead attributes. Adapts tone, opening lines, and problem-solution framing to match prospect profiles.
Every email feels like it was written after reviewing the person’s LinkedIn.
Routes drafts for manual review or editing via Slack message threads, email draft folders, or internal approvals before dispatch.
Maintains control, compliance, and tone without slowing down the process.
Links Sheets to OpenAI, triggers email generation, and manages approval-sending logic.
A no-code engine to connect, schedule, and automate without writing backend scripts.
Sends approved emails via native inboxes or prospecting tools. Personalised subject lines and intros lift open rates significantly.
Outreach at scale, with zero loss of human feel.
Phase | Function | Tools Involved |
---|---|---|
Prospect Sourcing | Extract names, roles, companies, and LinkedIn activity | LinkedIn, Apollo.io, Clearbit, CRMs |
Data Structuring | Organise lead info and prompt rules in a tabular format | Google Sheets |
Email Generation | Use GPT-4o to generate personalised outreach messages | OpenAI API (GPT-4o) |
Content Approval | Send drafts to human reviewers or hold for edit/approval | Gmail drafts, Slack threads, or sheet status |
Automated Dispatch | Send emails via Gmail or LinkedIn tools after approval | Zapier, Make, Gmail, Outreach, Sales Navigator |
Generic emails are ignored. But AI-crafted messages using real-time prospect signals, like job titles, recent posts, or shared connections, feel genuinely tailored.
This workflow allows you to send dozens (or hundreds) of outreach emails daily, each with unique tone, hook, and CTA, while maintaining a high standard of relevance and clarity.
Instead of spending hours on research and writing, sales reps can focus on responding to warm leads, conducting discovery calls, or refining sequences.
The approval layer ensures messaging aligns with your brand tone, pitch structure, and sales compliance norms. Every message is reviewed or edited before sending.
Founders and CXOs doing initial outreach can use this system to maintain high-quality, personal messaging while delegating generation and scheduling.
Want to test CTAs, tones, or subject line formats? This system supports A/B message variations, prompt tuning, and fast iteration, without rebuilding your workflow.
The future of outbound isn’t just scale, it’s relevance.
With AI-powered LinkedIn outreach, your team can craft personalised, insight-rich emails that connect with prospects, without spending hours writing each one. From structured prospect data to GPT-generated messaging and built-in approval steps, the system puts thoughtful outreach on repeat.
No more guessing the right hook. No more email templates that sound like everyone else.
Just high-impact messaging, delivered with speed, nuance, and results.
Your best cold email shouldn’t take 20 minutes. Now it doesn’t have to.
Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.
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