Video

Cold Outreach on LinkedIn: The ClawSight Approach

demo

In this video, I walk through a real-world sales discovery call scenario, showcasing a practical discovery call example. We look at how I manage my leads using a kanban board within my project management system in Obsidian. The key here is ClawSight with OpenClaw, it takes aways a lot of manual work and helps you work through leads faster. The goal is to optimize the business workflow and organize tasks efficiently, especially when it comes to linkedIn lead generation outside of my immediate network.

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I have been sending discovery call invites to people in my Skool, and now I want to start inviting people outside the Skool as well. I begin on my calls board, then open the actual Discovery Calls project so I can work from the right outreach context and use the invite we have already been refining.

That invite was inspired by Adam Robinson's approach to discovery calls for his app, so I am not starting from scratch. Once I have the project open, I switch back to Chrome, pull up the LinkedIn profile I am looking at, and use ClawSight to ask for a tailored invitation based on that person's situation.

In this example, I tell ClawSight that we have already been doing Skool invites, but now I want to invite this specific person on LinkedIn. Because OpenClaw already knows the surrounding context, it writes a message that fits what the person actually said earlier instead of forcing a generic pitch.

The suggestion it gives me is smart. Since the person had already said they were using Notion for now, the message does not try to push them into Obsidian or force a premature sales angle. Instead, it frames the outreach as a comparison conversation and asks for feedback on ClawSight for OpenClaw from that exact Notion-versus-Obsidian perspective.

ClawSight also gives me a shorter, cleaner version of the invite, and that is the one I choose. It respects where the person is right now instead of dragging them somewhere they are not ready to go. That is what makes the outreach feel thoughtful rather than robotic.

Once I like the message, I grab my 30-minute review link, send the invite, and then immediately ask ClawSight to update the conversation record. It updates the contact history, logs the new LinkedIn message in the transcript, changes the last-contact timestamp, and sets the next action to wait for a reply.

That is the part I love most. I do not have to switch into admin mode and manually clean up the CRM after sending outreach. The conversation note stays current while I stay in flow.

So this is how I do cold outreach on LinkedIn with ClawSight: I look at the real profile, speak naturally, get a context-aware draft, send it, and have the system update the record for me. It is fast, clean, and it keeps the whole workflow inside one operating rhythm instead of scattering my attention across five different tools.