Marcelo Valenzuela

Marcelo ValenzuelaJun 9, 2026

Claude MCP for LinkedIn outreach is a cheat code Here’s the full setup, no coding required 👇 Most teams still do LinkedIn outbound like this: Export leads into spreadsheets Copy profiles into AI tools Write “personalized” messages manually Launch campaigns blindly That worked in 2024. In 2026 you can connect Claude directly to your outreach workflow using MCP (Model Context Protocol). Here’s what it actually does: 1. Pulls live prospect data instantly “Show me founders who interacted with competitors this week” Answered in seconds 2. Detects high intent signals automatically Job changes Post engagement Hiring activity Profile visits Competitor interactions Content engagement 3. Qualifies leads for you Filters out low fit prospects automatically based on ICP + buying intent 4. Generates hyper personalized outreach Using live context from the prospect’s company, content, and activity 5. Handles follow ups dynamically Claude adapts replies based on objections and conversation history 6. Runs outreach across LinkedIn + email From the same workflow Here’s the part most people miss: It doesn’t just write messages. It identifies the right people, the right timing, and launches the conversations for you. That’s the real unlock. The setup takes less than 10 minutes. No coding required. I genuinely think this changes how outbound will work over the next few years. Most companies are still playing the volume game. The best teams are moving toward signal based outreach instead. Connect with me and comment “MCP” and I’ll send the setup guide.

Marcelo ValenzuelaAug 27, 2026

A client booked 97 meetings in the last 30 days. All from one AI agent. No SDR team. No hours spent manually prospecting. No massive cold list. Just one AI agent running 24/7. Here’s what it did in 30 days: • Found prospects showing real buying intent • Filtered them against the client’s ICP • Researched each lead automatically • Started personalized conversations • Followed up at the right time • Turned replies into booked meetings The result? 97 meetings booked in 30 days. And the agent doesn’t sleep. It doesn’t forget to follow up. It doesn’t spend 3 hours researching 50 prospects. It just keeps finding the right people, at the right time, and starting conversations. The craziest part? You can deploy the same type of AI sales agent with GojiberryAI in under 15 minutes. Perfect for: • Founders who need more pipeline • Sales teams scaling outbound • Agencies generating leads for clients Your next SDR might not be human. Free access below ↓

Marcelo ValenzuelaSep 21, 2026

Most companies can’t afford a world-class Chief Sales Officer. So we built an AI version—and made it free. It analyzes your actual targets, pipeline, team capacity, and performance, then turns that data into clear commercial decisions. It covers 15 core areas: 1. Revenue targets 2. Offer and proof 3. Best-customer analysis 4. Market selection 5. ICP and exclusions 6. Pipeline requirements 7. Sales capacity 8. Buying windows 9. Account prioritization 10. Campaign strategy 11. Conversation quality 12. Pipeline risk 13. Weekly sales reviews 14. Executive decision-making 15. Continuous sales learning Then it builds your: → Sales strategy → Market priorities → Pipeline plan → Priority account list → Campaign portfolio → Weekly management agenda → Risk report → Decision log Your AI Chief Sales Officer is now available for free 👇