LinkedIn Insights at the Touch of a Button.

Why good conversations start long before the first meeting

A good sales call is rarely won during the call itself. It is decided beforehand. Who am I talking to? What is on their mind right now? Which topics are relevant and which are not? This is where the problem usually lies in daily life: time.

Preparation is important, but it takes a lot of time

Today, LinkedIn is one of the most important sources of information in B2B sales. Profiles, posts, comments, interactions—all of this provides valuable clues about what decision-makers are currently focusing on.

In reality, however, it often looks like this:

-You open a profile "just for a second"

-scroll through posts

-lose track of everything

-and hope you remembered the right things

The result is often preparation that is well-intentioned but not really structured. That is why I asked myself: How can I use LinkedIn information effectively without spending a lot of time every single time?

My approach: AI as a preparation partner

As part of my learning journey, I started using AI specifically for meeting preparation. Not to automate the conversations, but to make them better.

The idea is simple:

-LinkedIn data is collected

-relevant activities are identified

-and summarized clearly

Not everything. Just what is truly relevant.

What LinkedIn insights actually give me

Through automated analysis, I get:

-a quick overview of professional focus areas

-clues about current topics or projects

-starting points for the conversation

This noticeably changes my conversations. Instead of general openings like "Tell me a bit about...", I can be specific: "I saw that you are currently focusing heavily on [Topic X]..." The conversation doesn't start from zero; it starts on equal footing.

Why this has nothing to do with "stalking"

An important point: it is not about gathering as much information as possible. It is about using relevant information in a meaningful way. Everything being analyzed is publicly available. The difference is not in the data, but in the structure.

AI helps me to:

-organize information

-recognize main points

-and prepare specifically

The decision on how I use this information is still up to me.

My lesson from this step

LinkedIn insights are not an end in themselves. Their value only appears when they are used consistently and in a structured way.

AI helps me do exactly that:

-less scrolling

-less searching

-more understanding

And all of this without any programming experience.

Looking ahead

In the next steps, I will expand this approach further:

-moving from just preparation

-toward complete workflows

-always with the goal of reducing routine work and increasing quality

In the end, it is not about "Human or AI," but about "Human with AI."