A recommendation request that makes it easy for the recommender to say yes — by providing specific talking points, a reminder of relevant projects, and a clear sense of what the recommendation should accomplish — produces far better results than a generic ask. AI can help draft the briefing materials that turn a willing recommender into an effective one. This concept covers the request strategy that gets recommendations worth having.
LinkedIn recommendations request drafting is the practice of using AI to compose personalized, low-friction outreach messages that prompt former colleagues, managers, or clients to write specific, keyword-rich recommendations — including optional talking points that make it easy for them to say yes.
Most people never ask for recommendations because the request feels awkward or burdensome to the recipient; AI resolves this by crafting messages that are warm, concrete, and structured to maximize response rates while guiding recommenders toward content that actually strengthens your profile.
Prompt Claude: 'Write a LinkedIn message asking my former manager to write a recommendation for me. I want it to feel genuine, mention the specific project we worked on together (a CRM migration), and include 3 optional talking points they could use — focused on my problem-solving, stakeholder communication, and technical leadership.'
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