Someone you rate has asked you to write them a LinkedIn recommendation, and the empty box is harder than it looks. A good one is short, specific, and credible: it names how you worked together, proves one strength with a real moment, and closes plainly. Give this generator a few notes about the person and it drafts that for you, in your voice as their manager, colleague, direct report, or intern host.
A recruiter reading a recommendation is running one check: did this person actually watch the work happen? Praise alone cannot pass that check, because praise is free. Three things pass it: a concrete working relationship ("we shipped the checkout replatform together over two years"), one specific story with stakes, and restraint. A recommendation that claims someone is excellent at everything is read as a favor. A recommendation that proves one strength properly is read as evidence.
That is also why length works against you past a point. Two or three short paragraphs, somewhere between 80 and 160 words, gets read in full. A recommendation the length of a cover letter gets skimmed, and skimmed praise is wasted praise. Recommendations are one of the sections our free LinkedIn Review weighs when it scores a profile, because recruiters read them as third-party evidence.
You do not need to be a writer; you need the parts in the right order. Open with one strong specific claim, not a throat-clearing "I am pleased to recommend". Establish how you worked together, because that is where your credibility comes from. Prove one or two strengths with a real moment. Close with a plain endorsement a human would actually say.
Four outputs from this generator, unedited, with the notes that produced them. The voice changes with the relationship: a manager can rank someone against peers, a direct report speaks to what it was like to work for them, a colleague speaks to what they were like in the room.
Notes: Priya, Data Engineer · my colleague · "catches problems early, asks the hard questions, writes everything down" · moment: "caught a mapping error in week one of the checkout replatform"
Priya is the colleague every project wants and few projects get. We worked side by side for two years on the checkout replatform at our last company, and she was the reason the data migration landed a month early: she caught a mapping error in week one that would have cost us the whole quarter to unwind later. What stands out is how she works, not just what she ships. She asks the question everyone else is avoiding, writes things down so decisions stick, and makes the people around her more precise. I would join her team again without a second thought.
Notes: Marcus, Engineering Manager · my manager · "protected the team's focus, gave real feedback, promoted two people" · moment: "talked leadership out of a mid-quarter pivot"
Marcus is the manager I measure other managers against. I reported to him for a year and a half, and the thing I noticed first was what did not happen: we were never yanked mid-sprint, because he absorbed that chaos himself. When leadership pushed a mid-quarter pivot that would have burned our roadmap, he made the case against it and won. He also did the quieter parts of the job well. My feedback was specific enough to act on, and two people on our small team were promoted on his watch. If you get the chance to work for Marcus, take it.
Notes: Dana, Account Executive · my direct report · "best pipeline discipline on the team, coachable, great with difficult customers" · moment: "turned our angriest enterprise account into a renewal plus expansion"
I managed Dana for two years, and she is one of the strongest account executives I have had on a team. Her pipeline discipline was the standard I pointed the rest of the team to, and she took coaching the way top performers do: she would run the new approach that same week and report back on what happened. The moment that sums her up: we handed her our angriest enterprise account, the one everyone expected to churn. She rebuilt the relationship call by call and closed the renewal with an expansion on top. I would hire Dana again the day she became available.
Notes: Sam, Marketing Intern · my intern · "learns fast, owns mistakes, shipped real work" · moment: "built the competitor pricing tracker the team still uses"
Sam set the bar for what an intern summer can look like. He joined my team for twelve weeks, and by week three he was doing real work: the competitor pricing tracker he built is still the first tab our team opens on Mondays, months after he left. Two things made him stand out. He learns at an unusual speed, and he owns his misses; when an early analysis had a flaw, he flagged it himself before anyone else caught it and shipped the fix the same day. I would hire Sam full time without hesitation.
This is the recommendation most people write when they are being polite in a hurry. Hover each underlined phrase to see why it does nothing for the person you are recommending.
I am pleased to recommendThe warm-up opener. Every weak recommendation starts this way, so the reader's eyes slide past it. Open with your strongest specific claim instead. Alex, who is a hard workerUnfalsifiable and universal. Replace it with the thing the hard work produced: the deadline hit, the account saved, the tracker still in use. with a positive attitudeSays nothing about the work. If their attitude mattered, show when: "kept the team steady through a two-week outage" is an attitude sentence with proof in it.. Alex is a great asset to any team"Any team" is the tell that no particular team is being described. Name the team, the project, and what changed because Alex was on it. and I know him well because we are good friendsFriendship is the one relationship that weakens a recommendation. Recruiters discount it immediately. Cite only the working relationship, even if you are also friends..
Every phrase above could describe anyone, which is exactly the problem. The fix is always the same move: replace the adjective with the moment that earned it.
How do you write a good LinkedIn recommendation?
Four parts, in order: open with one strong specific claim about the person, state how you worked together and for how long, prove one or two strengths with a real moment, and close with a plain endorsement like "I would work with her again in a heartbeat". Keep it between 80 and 160 words.
How long should a LinkedIn recommendation be?
Two or three short paragraphs, roughly 80 to 160 words. That is long enough to hold a story and short enough to be read in full. Recommendations that run the length of a cover letter get skimmed, and the specifics you worked to include go unread.
What should I write in a recommendation for my manager?
Speak to what it was like to work for them, because that is the one thing you can testify to that their boss cannot: whether they protected the team's focus, how they gave feedback, a decision they got right. Do not grade their technical output; that reads as upside-down and costs credibility.
Should a friend write my LinkedIn recommendation?
Only if you also worked together, and the recommendation should mention only the working relationship. Recruiters discount recommendations that open with friendship. "Sam and I managed the ABC budget together" carries weight; "Sam is my friend from college" removes it.
Can I edit what the generator writes?
You should. The output is a strong draft built from your notes, but the best recommendation on anyone's profile contains one detail only a real witness would know. Swap in a name, a date, or the way something actually happened before you post it.
Is this LinkedIn recommendation generator free?
Yes. Enter the person's name, your relationship, and a few rough notes about what they are great at, and you get a recommendation you can edit and post. It comes from Resume Worded, whose resume and LinkedIn tools have been used by over 5 million job seekers.
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