6 Best Practices for Using LinkedIn Recruiter’s AI-Assisted Messages


Three in four hiring professionals (74%) hope that generative AI can automate repetitive tasks to prioritize more strategic work. That’s why LinkedIn Recruiter is rolling out AI-Assisted Messages to help you personalize at scale, increase efficiency, and boost candidate engagement.

Once you’ve selected a candidate in Recruiter, the AI model will take into account all the relevant information on the candidate’s profile, your company, and your job description to build a personalized InMail to the candidate.

Ready to give it a try? Learn six best practices to get the most from AI-Assisted Messages, including utilizing our new Automated Follow-ups feature. 

1. Customize your message

Tailoring your communications can help you engage more candidates — and LinkedIn data shows that personalized InMails see a 40% increase in accept rates.

LinkedIn’s AI-Assisted Messages incorporates best practices of personalization, length, and tone to improve your sourcing efficiency. Each InMail drafted by the AI model will be unique so that it stands out and grabs your candidates’ attention.

Not sure about the initial message offered? You can quickly generate a new message by clicking “draft again” until you find a version that you like.

Once the InMail is drafted, you can edit it to reflect your tone and include specific information you want to share with candidates. Fine-tune your message by adding or removing personalization fields, writing custom content to your “About Company” section, and directly editing your InMail so it meets your needs.



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