![]() ![]() You may choose to use what author and speaker Lisa B. What surprised you about the individual?Ĭhoose the qualities you want to emphasize in the person you are recommending.Is there a specific result they delivered in this position?.What impact did they have on me? (How did they make my life better/easier?).What did they do better than anyone else?.Look at the existing Recommendations they’ve received too. Tie in what you write with their LinkedIn Headline, Summary, and/or experience - in the Recommendation you write, reinforce the qualities they want to emphasize. Align your Recommendation with the individual’s LinkedIn profile. Formula for Writing a LinkedIn Recommendationīefore you write anything, take a look at your contact’s LinkedIn profile. Finally, you’ll learn how to request your own Recommendations on LinkedIn. In this guide, we’ll start with what to write in a Recommendation you give, and then show you how to actually make a Recommendation on LinkedIn. It’s best if they are added gradually, over time. Recommendations are date-stamped, so the reader will be able to see when they were added to your page. Don’t write and send your Recommendations all at once either. Because Recommendations have a date attached to them, don’t try to solicit all of your Recommendations at once. Recommendations should be built up over time. ![]() Ideally, these will be a variety of individuals - not just supervisors, but co-workers, people you supervise, and clients/customers. A good guideline is 1-2 Recommendations for every 50 connections. How many Recommendations you should have on your profile depends on how many contacts you have. Although LinkedIn’s specific algorithms are secret, some experts suggest that keywords in Recommendations receive double the rankings of keywords provided in the profile itself. When conducting a keyword search, all the keywords in a profile are indexed, and profiles with a high match of relevant keywords come up higher in the results listings. Keywords included in LinkedIn Recommendations also receive emphasis in search engine results - especially searches within LinkedIn. Use industry-specific terminology in your Recommendations. Recommendations can also provide Search Engine Optimization (SEO) results - meaning, they will help you get found - both on LinkedIn as well as on search engines. People can see the Recommendations you’ve received (click on “Received”) as well as the Recommendations you’ve given (click on “Given”). In addition, you can enhance your own reputation by providing Recommendations, because people viewing your profile can see (and read) the Recommendations you make. However, according to LinkedIn, “Users with Recommendations in their profiles are three times more likely to receive relevant offers and inquiries through searches on LinkedIn.” LinkedIn used to require a minimum of three Recommendations for your profile to be considered “complete,” but that is no longer part of the profile strength measurement system. Someone looking at your Recommendations wants to know two things: LinkedIn has been described as a “reputation engine.” That’s an apt description, because your reputation does precede you online - not just in your work history, but also in your LinkedIn Recommendations. Since many companies are restricting reference checks to verification of title and dates of employment, a LinkedIn Recommendation from a supervisor - and/or coworkers - carries weight. However, they often are more credible than these traditional documents, because it is harder to fake a Recommendation on LinkedIn than it is to forge a letter. LinkedIn Recommendations are a natural evolution of references and letters of recommendation. For recruiters and hiring managers who take the time to read them, great LinkedIn Recommendations can be the difference in getting the job offer. ![]() With all the changes to LinkedIn, one thing that never goes out of style is having people say nice things about you on your LinkedIn profile - even if LinkedIn puts different emphasis on the role of LinkedIn Recommendations in the profile. ![]()
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