Every morning at 5 AM, an AI agent scans breaking news in our clients’ industries, evaluates which stories are worth posting about, and drops draft LinkedIn posts into our inbox. By the time my team opens their laptops, the research is done.
These aren’t throwaway drafts. This system has produced posts that hit over 200,000 impressions for a single client.
At Distinctiva, we run this for B2B founders and executives every day. In this post I’ll show you what the system is, why it works, and the three ways you can build your own version. If you want the full step-by-step build with every prompt and config file, that’s in the video walkthrough.
What is newsjacking on LinkedIn?
Newsjacking means taking something that just happened in your industry and adding your perspective to it before anyone else does. You contextualize the story. You tell your audience what it means for them, their jobs, their strategy.
It works because you’re attaching your expertise to something that already has an audience. The news story does the heavy lifting of getting people to stop scrolling. Your job is to break it down. And all of that attention lands on your profile.
One of our clients covered the revelation that ChatGPT pulls directly from Google Search and what that means for SEO strategy. The numbers: 293 comments, 234 reposts, 208,000 impressions. From a post that took maybe 20 minutes to write.
And that wasn’t a one-off. We’ve been growing client accounts with this same format over and over for months. If you want the full breakdown of newsjacking and the three other growth formats we use, I covered them in this video on LinkedIn post types.
Why timing is the entire game
The hard part of newsjacking was never the writing. The hard part is finding the right story at the right time and having your angle ready before the conversation moves on.
LinkedIn is always late. By the time a story trends there, it already broke on X two days earlier. The algorithm pushes posts that enter a conversation while it’s still moving, so a sharp take within 24 to 48 hours of a breaking story gets distributed far harder than the same post published four days later.
That gap is your advantage. If you can catch stories where they break first and post before LinkedIn catches up, you’re consistently early to conversations everyone else joins late.
Manually, that means scanning news sites and X every morning and hoping you catch the right story. That’s the bottleneck. And that’s exactly what we automated.
The three levels of newsjacking automation
There are three ways to build this system. They scale in setup effort and in what they can do for you. Pick based on how technical you want to get and how early you need to be.
Level 1: Claude Cowork (the entry point)
Claude Cowork is a desktop tool from Anthropic that lets you give Claude a task and watch it execute on your computer in real time. We use it as a newsjacking research assistant: it scans the latest news in your niche and comes back with LinkedIn drafts ready to edit.
If you’ve never built anything with AI beyond chatting with it, start here. You give it one prompt, it does the research that normally takes an hour, and you spend five to ten minutes editing the drafts into your voice.
The limitations: your laptop needs to be on for scheduled runs, and Cowork researches through Google. If a story breaks on X first, you’re waiting days for it to get indexed. By then, you’re not early anymore.
Level 2: n8n (the real-time edge)
n8n is a workflow automation tool, like Zapier but far more capable for AI workflows. The workflow we built does something Cowork can’t: it scrapes X accounts directly.
The people in your industry who break news first live on X. Their tweets become LinkedIn posts 48 hours later. This workflow catches those stories in real time, combines them with Google News, runs everything through an AI node that evaluates newsjacking potential, and delivers drafts to your inbox or Slack on a schedule.
The advantage: real-time signal, and it runs without you. Every morning you wake up to drafts you never asked for. The tradeoff is setup. API keys, X scraping configuration, workflow nodes. We made the full workflow JSON available so you import it instead of building from scratch.
Level 3: OpenClaw (the AI agent)
The first two methods are tools. You give them a task, they do it. OpenClaw is different. It’s an AI agent platform: you define a task once and it executes autonomously on a server, around the clock, with no trigger and no manual run.
The agent scrapes the web like the n8n method does. The difference is what happens after the data comes in. It makes decisions and runs on itself, without nodes, tabs, or complicated setups. You talk to it like an employee, through Telegram or Slack, and it executes.
I think AI agents right now are where ChatGPT was two years ago. People are cautious, and there are real security questions to work through (you’re giving an agent access to data sources and APIs, and that needs care). But the capability is real, and the people who figure this out early will have a serious advantage.
This is the version we run at Distinctiva. The agent fires at 5 AM, and by the time anyone opens a laptop, newsjacking drafts are sitting in our chat, each tagged with the source, the angle, and a suggested posting time. It’s the system behind the 208,000-impression post I mentioned at the top.
Which one should you build?
Start with where you are, not where the hype is.
- You already use Claude and want results today: Cowork. One prompt, drafts in minutes, zero infrastructure.
- You need to be first to the story: n8n. Real-time X scraping is the edge, and the setup cost pays for itself in timing.
- You want a content employee that never sleeps: OpenClaw. More to learn, more to secure, and the closest thing to where AI content is heading.
Whichever level you pick, the strategy underneath stays the same. The automation finds the story and drafts the angle. You bring the perspective, sharpen the take, and hit publish while the conversation is still moving.
Watch the full build
This post covers what the system is. The video covers how to build it: the live setup of all three methods, the prompts we use, and the mistakes to avoid.
I also put together the Newsjacking Toolkit with the Claude Cowork prompt, the n8n workflow JSON, the OpenClaw setup walkthrough, the post structure template, and the list of X accounts we monitor for early signals. The link is in the video description.
Watch the full walkthrough here.
And if you’d rather skip the building entirely, that’s what we do at Distinctiva. We build and run content systems like this for B2B founders and executives. Book a call and we’ll figure out what your content engine is missing.
