AI LinkedIn Recommendation Generator

Effective recommendations are specific, credible, and personal. They mention concrete projects, measurable outcomes, and specific qualities rather than generic praise. The best recommendations tell a brief story about working with the person, highlight what makes them unique, and clearly state why you recommend them. Vague endorsements like 'great to work with' carry little weight compared to specific, verifiable achievements.

Aim for 100-200 words — long enough to be substantive and include specifics, but short enough to be read completely. Shorter recommendations often feel like token gestures, while excessively long ones lose readers before the best parts. Front-load the most impactful statements since LinkedIn truncates longer recommendations behind a 'see more' link. Our generator creates recommendations that hit the ideal length with maximum impact.

As a manager, focus on their professional growth, specific contributions to team or company goals, leadership qualities, and initiative. Include concrete examples like projects they led, problems they solved, or metrics they improved. Your recommendation carries extra weight because you directly observed their work. Mention how they influenced the team beyond their individual contributions and where you see their career heading.

Avoid generic phrases like 'hard worker' or 'team player' without supporting evidence, exaggerated claims that lack credibility, irrelevant personal information, or recommendations so short they seem obligatory. Also avoid revealing confidential business information or comparing the person to other colleagues. Focus on genuine, specific strengths that you have personally observed and that align with the person's professional brand.

It is common and acceptable to exchange recommendations, but do not make it a condition. Write your recommendation first without strings attached, then politely ask if they would be willing to write one for you. Organic, unsolicited recommendations carry the most weight. Avoid mass-requesting recommendations at the same time, as multiple recommendations dated the same week can appear orchestrated rather than genuine.