The Right Way to Use AI for Creating LinkedIn Recommendations

We’ve all been there. A valued colleague asks for a LinkedIn recommendation, and you genuinely want to help. But when you sit down to write it, you’re faced with a blinking cursor. You’re busy, you’re not sure what to say, and you worry it will sound generic or cliché. It’s a common frustration that can turn a simple act of goodwill into a lingering item on your to-do list.

What if you could get a helping hand to move past that initial writer's block? This is where a little strategic help from Artificial Intelligence comes in. I’m not talking about generating a robotic, impersonal paragraph. I’m talking about using AI as a thoughtful brainstorming partner. Today, we’ll walk through how to use AI for creating LinkedIn recommendations that are specific, heartfelt, and genuinely strengthen your professional relationships.

Why a Generic Recommendation Misses the Mark

Before we dive into the "how," let's quickly touch on the "why." A recommendation that just says, "Sarah was great to work with and is a skilled project manager," is nice, but it isn't truly helpful. It lacks the detail that helps a potential employer or client understand why Sarah is so great.

A powerful recommendation includes:

• _Specificity:_ It mentions a concrete project or situation.
• _Impact:_ It highlights the positive result of the person's actions.
• _Character:_ It speaks to their unique professional qualities.

The goal isn't just to check a box; it's to provide genuine value to your colleague. Using AI correctly helps you structure your specific memories into a polished and impactful statement, saving you time without sacrificing authenticity.

The Three-Step Process for Using AI for Creating LinkedIn Recommendations

Think of AI as a very capable assistant. It can’t read your mind, so you need to give it good material to work with. Your personal insights are the essential ingredient. Here’s a simple, three-step framework to follow.

Step 1: Gather Your Raw Materials (The Human Touch)

Before you even open an AI tool, take five minutes to jot down some notes. This is the most important step. The quality of your recommendation depends entirely on the quality of these personal recollections.

Answer these questions about your colleague:

• A Specific Project: What is one project you worked on together where they truly shined? (e.g., "The Q3 marketing campaign launch")
• A Key Skill in Action: What specific skill did they demonstrate? Don't just say "organized"—describe how. (e.g., "Kept five different teams on track and on budget using her detailed spreadsheet system.")
• A Positive Personal Quality: What was it like to work with them? (e.g., "Remained calm and positive under pressure, always had time to help a teammate.")
• The Result: What was the positive outcome of their work? (e.g., "The campaign exceeded its goals by 20%.")

Step 2: Craft Your Prompt (Give Your Assistant Clear Instructions)

Now, you’ll give your notes to the AI. A clear, detailed prompt is key. You can use any major AI chatbot for this. Think of it as writing a creative brief for your assistant.

Here is a template you can adapt:

"Act as a professional writing assistant. Write a LinkedIn recommendation for my former colleague, [Name]. The tone should be professional, warm, and authentic. The recommendation should be about 100-150 words.

Please base the recommendation on these key points:

• Project: We worked together on the Q3 marketing campaign launch.
• Skills: She is an incredibly organized project manager. She kept five different teams aligned and on budget with her detailed tracking system.
• Character: She's a fantastic collaborator—always calm under pressure and willing to help others.
• Outcome: Thanks to her leadership, the campaign launched smoothly and exceeded its goals by 20%."

Step 3: Edit, Personalize, and Polish (Make It Sound Like You)

The AI will give you a very solid draft. Do not copy and paste it directly into LinkedIn. This is where you, the human, add the final, crucial touches.

Read through the draft and ask yourself:

1. Does this sound like something I would actually say? Change any words or phrases that feel unnatural.
2. Can I add a more personal touch? Maybe add a short, genuine opening line like, "I had the pleasure of working with Sarah for two years..."
3. Is everything 100% accurate? Double-check the facts and figures.

By spending just a few minutes editing, you transform the AI-generated draft into a genuine, personal endorsement that reflects well on both you and your colleague.

Putting It All Together

So what does this process look like in practice? The AI might give you a draft that says: "Sarah is an exemplary project manager. During the Q3 campaign, her organizational skills were instrumental..."

After your human polish, it becomes:

"It was a true pleasure to have Sarah as a colleague. I was continually impressed by her ability to lead complex projects, particularly during our Q3 marketing launch. Sarah’s incredible organization kept five separate teams moving in lockstep, and her calm, collaborative nature made her the person everyone turned to for guidance under pressure. She is the kind of leader who not only delivers results—like exceeding our campaign goals by 20%—but also makes the entire team better in the process. Any team would be lucky to have her."

See the difference? It’s specific, warm, and authentic. It’s a recommendation that truly helps.

Your Intelligence, Amplified

Using AI to help with tasks like this isn't about replacing your judgment or your voice. It’s about using a tool to overcome the initial hurdle of a blank page, allowing you to focus on what truly matters: the specific, human insights that only you can provide.

The next time you’re asked for a recommendation, don’t let it become a source of stress. See it as an opportunity to strengthen a professional bond. By pairing your unique experience with a little AI assistance, you can write a thoughtful, impactful recommendation in a fraction of the time, confidently and authentically.

- Alex