AI is only as strong as the data it’s built on

Powered by the world’s most dynamic buyer network, Sales Assistant uncovers the shortest path to your next customer:

How Sales Assistant works: a seamless, AI-guided prospecting workflow

The best leads for you, delivered daily

  • Finds new, high-potential leads based on your target buyer criteria, going beyond titles to uncover prospects most sellers miss.

  • Explains why leads are a good fit, based on mutual connections, shared experiences, and LinkedIn activity.

  • Continuously learning from your feedback to recommend better leads.

Take the guesswork out of outreach

  • Pinpoints the most effective path to a meeting, whether it’s a direct message or a warm intro through a teammate or mutual connection.

  • Surfaces the right person to make the intro, based on relationship strength and shared context.

  • Drafts a personalized, polished intro request, so you can scale warm outreach across your team with confidence.

Automates prospecting

  • Automates lead discovery across key accounts so sellers can focus on high-value opportunities.

  • Generates personalized outreach drafts to save time and boost engagement.

  • Reduces manual prospecting tasks so you spend less time searching and more time selling.

What sales leaders are saying about Sales Assistant

  1. Professional headshot of Shannon Katschilo
  2. Professional headshot of Marissa Council
  3. Professional headshot of Regan Barker

Resources

Frequently asked questions

Does LinkedIn Sales Navigator use AI?

LinkedIn Sales Navigator's Artificial Intelligence (AI) features include Account IQ and Lead IQ — with Message Assist and Sales Assistant currently in beta. View more feature details.

Does LinkedIn Sales Navigator use agentic AI?

LinkedIn Sales Navigator's Artificial Intelligence (AI) agentic feature — Sales Assistant — is currently in beta. It helps your sales team book more sales meetings and close more sales deals.

What is LinkedIn Sales Navigator Sales Assistant?

Sales Assistant is a LinkedIn Sales Navigator agentic Artificial Intelligence (AI) feature currently in beta that helps your sales team book more sales meetings and close more sales deals.

What LinkedIn Sales Navigator AI features help sellers and sales organizations?

LinkedIn Sales Navigator's AI features include:

  • Account IQ, which uses AI-driven summaries to help sellers understand accounts, prep for meetings, and create effective account plans.

  • Lead IQ, which provides lead insights and engagement recommendations, streamlining connection strategies for your team.

  • Message Assist (in beta), which uses AI to turn key company and lead insights into compelling InMail messages for effective sales outreach.

  • Sales Assistant (in beta), which delivers the best leads daily, orchestrates your best path into an account, and equips you with lead and account insights — to help you book more sales meetings and close more sales deals.

When will LinkedIn's Sales Assistant be available?

LinkedIn is continuing to beta test Sales Assistant with a limited number of customers to learn and gather feedback so that we can adapt the offering before wider release. We look forward to introducing Sales Assistant to more customers later this year.

What languages will LinkedIn's Sales Assistant be available in?

At the initial customer beta, Sales Assistant will only be available in English. LinkedIn plans to offer more languages in the future.

Does LinkedIn's Sales Assistant make decisions on my behalf?

Sellers will always make final decisions and be at the center of the sales process, which is all about relationships. Sellers can use the Sales Assistant to identify potential warm leads and build a strong pipeline, but they retain full control, including providing feedback to the Sales Assistant on lead quality and reviewing the message that the Sales Assistant drafted.

Where can I learn more about how LinkedIn uses AI?

Building member and customer trust is at the top of our operational priorities, including safeguarding our platform and mitigating potential issues that might affect safety and security. That starts with the Responsible AI Principles we use at LinkedIn to guide our work when building with AI. We then put those principles to practice with actions to advance our commitment to upholding trust.