LinkedIn Recruiter Best Practices: 7 Sourcing Techniques

I have spent years sourcing on LinkedIn, from C-level and Head-of roles to tech, marketing, and sales teams. Along the way I learned that the best recruiters do not have a secret filter. They have a repeatable workflow. These LinkedIn Recruiter best practices are the exact habits I use every day, and they work on both Recruiter Lite and Recruiter Pro.

This guide is the practical, workflow side of sourcing. It walks through how to read a brief, map titles and companies, calibrate filters, review candidates with discipline, and hand a clean shortlist to your CRM. Two siblings go deeper on the mechanics: our LinkedIn Recruiter Boolean search guide owns query syntax, and our LinkedIn Recruiter search filters guide owns filter-by-filter mechanics. Keep them open in another tab as you follow the steps below.

What is sourcing on LinkedIn Recruiter?

Sourcing is the process of reaching out to talents. For most Talent Acquisition teams, it implies working on Linkedin, which has become a must for all recruiters.

LinkedIn Recruiter is one of the paid versions of LinkedIn. It is a tool developed and designed for the needs of recruiters. Most recruiters use LinkedIn Recruiter, Pro or Lite. Some recruiters also use LinkedIn Sales Navigator, which is the paid version for salespeople. It is a little cheaper than the recruiter version but has slightly fewer features. Sourcing on LinkedIn Sales Navigator will be the subject of a dedicated article later.

Why working on the sourcing process on LinkedIn is necessary for recruiters?

Sourcing is a key process for recruiters. Indeed, more and more executive recruitments are done through external hunting, whether carried out by recruitment agencies or internal teams. Optimizing sourcing on LinkedIn is essential for all recruiters for several reasons:

• LinkedIn is the indispensable social network for recruitment and recruiting teams
• Improving your sourcing will allow you to fill your jobs offers more quickly, increase the number of hires per year and reduce the “time-to-hire” indicator
• By increasing your efficiency and results, you will be able to carry out a greater number of recruitments by making less effort.
• Sourcing efficiently on LinkedIn is a key skill of the best recruiters and a key task in the hiring processes

Translate the brief before you open LinkedIn Recruiter

The best practice that saves the most time happens before any search. Read the role brief and turn it into search language. A hiring manager thinks in outcomes, like “someone who can scale our payments team”. Your job is to translate that into titles, companies, seniority, and must-have skills.

I write three short lists for every mandate. First, the job titles a matching candidate might hold today or held recently. Second, the companies where that person likely works, whether direct competitors, adjacent industries, or feeder firms. Third, the two or three skills that truly separate a fit from a near-miss. This turns a fuzzy brief into a search you can build and repeat.

Doing this first also protects you from filter drift. When you start from a clear target, you notice when a LinkedIn filter quietly excludes people you wanted. If you skip it, you tend to trust whatever the platform returns. Map the brief first, and every technique below becomes sharper.

My 7 tips for good sourcing on LinkedIn Recruiter Pro or Lite

1. The “job title” field is key

I think I use the job title field for 90% of my LinkedIn Recruiter searches. The key is to use it well. The use of Boolean searches can help you (see below). I use it very little in this field. My approach is as follows:

• I list all the job titles that seem obvious to me
• I make sure not to have job titles that are not suitable for my search.

2. Target the candidate’s experience well

You have to keep in mind that LinkedIn’s filters can be a bit limited for some uses. This is particularly the case with the experience filter. If you want the full breakdown of what each control does, our LinkedIn Recruiter search filters guide covers every option. Here I focus on how to calibrate them. You can filter:

• On the year of obtaining the last degree
• On the number of years of experience on the last job
• On the total number of years of experience

I do not recommend filtering on the year of the last degree. Before diving into these filters, make sure you have a clear passive talent sourcing strategy in place. If a candidate has done a boot camp, a short course, or a MOOC, LinkedIn treats them as a recent graduate, even when they have 20 years of experience.

The total years of experience filter is more useful. It hints at whether someone might be open to a move. Still, it has limits. If a candidate changes roles inside the same company, they can drop out of a search you wanted them in. So I rely mainly on total years of experience.

LinkedIn defines total years of experience from the earliest position listed on a member’s profile, so treat the number as a starting point rather than an exact measure. I begin with the range in the brief, review an initial sample, and compare the results with the role’s real requirements. If strong candidates sit just outside the range, I widen it and test again. If the search brings too much noise, I narrow one boundary and review another sample. This calibration is more reliable than applying the same numeric adjustment to every search.

Please note, one of the limitations of LinkedIn is that it does not allow filtering on the number of years of experience in a specific position. Example: I want to find a candidate who has 10 years as a Manager. Unfortunately, I can only filter on the candidate’s total experience. I will have to manually analyze each candidate that appears in my search to determine if they indeed have the required experience for the sought-after position. This is one of the filter features offered by the Leonar tool that will allow you to determine:

• The total number of years of experience sought (as allowed by LinkedIn Recruiter)
• The number of years of experience sought for a specific position or title

3. Use company lists rather than sectors/industries

One of the least efficient filters on LinkedIn is the one that focuses on sectors and industries. The reason lies in its operation. Two problems arise with the filter:

• Each LinkedIn user defines their own sector, regardless of the company they work for
• The filter does not take into account the candidate’s past sectors

If I take a specific example to illustrate the first point. Let’s take all the people working for the company Renault on LinkedIn. According to my LinkedIn Recruiter search, there are about 40,000 of them worldwide.

Now, if I filter on the people who are assigned to the Automotive Industry sector, I only have 27,000 profiles in my search. I have therefore lost more than 30% of potential candidates along the way. Perhaps your ideal candidate was among this list of missing users.

The key is to build relevant company databases that meet your needs, rather than using the sector filter. Learning how to do talent mapping in recruitment will help you systematically identify and organize these target companies. If you are targeting candidates in the automotive industry, it is better to list all the target companies rather than use the filter in question.

4. Learn & master Boolean search on LinkedIn

Boolean search allows you to target the keywords you actually want to use and perform various combinations.

Here is the list of Boolean operators that can be used on LinkedIn and their usage:

• AND searches: This operator provides all the results that include all the cited terms. For example, you can write: Consultant AND Strategy if you want to include all strategy consultants in your search
• OR searches: The OR keyword specifies that the search should include at least one of the specified elements. Example: Sales OR Commercial, will give you candidates who have either the word Sales in their profile, or the word Commercial
• NOT searches: The word NOT allows you to exclude a term from the search results. Example: Developer NOT Freelance allows you to exclude developers who have the Freelance keyword in their profile.
• Searches with quotation marks “”: Quotation marks allow you to target a specific and exact expression. For example, you can target the phrase “business developer” or “product manager”
• Searches with parentheses: Parentheses are used in the context of complex searches. If, for example, I am looking for a developer who is not a manager, Lead, or Senior, I can write “developer NOT (Lead OR Manager)” to exclude both terms.

Note that all of these operators must be written in uppercase to work.

Boolean operators can be used in all search fields. For copy-paste query examples and a full walkthrough, see our guide to LinkedIn Recruiter Boolean search. You can also use our Google X-ray search generator to turn the same concepts into a site:linkedin.com query for discovering public profiles through Google. For the full technique, including copy-paste recipes for GitHub and public CVs, read our guide to Google X-Ray search.

5. LinkedIn Recruiter Pro users, don’t limit yourself to “Open to Work” candidates

Candidates who specify that they are open to opportunities tend to respond better to recruiter solicitations.

Indeed, those who specify “Open to Work” make themselves visible to LinkedIn Recruiter Pro users. This is also one of the advantages of LinkedIn Recruiter Pro over LinkedIn Recruiter Lite.

However, these candidates are also the most contacted by recruiters. By limiting yourself to these profiles:

• You reach out to candidates who are potentially already heavily contacted
• These candidates may have already found their next job offer and have not yet updated their profile
• You deprive yourself of contacting candidates who have not specified that they were “Open to Work”, but who are indeed listening to new opportunities or who could be interested in your job offer

6. Complement your use of LinkedIn Recruiter Lite or Pro with a CRM software

LinkedIn has interesting features for sourcing but which may not be sufficient depending on the use. Recently, many tools, such as CRM softwares, have emerged to optimize sourcing. These tools allow you to improve your results and work more efficiently:

• Reduction of time spent on sourcing (Better filtering capabilites, messaging automation)
• Improvement of the response rate
• Collaborative work within a team of recruiters
• Management of a pool of candidates (candidates pipeline)

These tools can take you to another level in recruitment and improve your internal processes. Leonar is a separate system of record that sits alongside the workflow you already run. Its Chrome extension for sourcing creates a record from the details you confirm and lets you select a Leonar project and stage. Add notes separately in Leonar, then use AI scoring against the mandate. You can also try AI-powered sourcing with Leonar to search beyond LinkedIn across 870 million profiles on more than 30 platforms.

Note that a CRM (Customer Relationship Management) software will not replace your ATS (Applicant Tracking System), if you already have one. The ATS or Applicant Tracking Systems is a software used to manage Inbound Recruitment, such as applicants to your job offers.

If you want to find more information related to the differences between ATS & Recruitment CRM, please read our blog post dedicated to this topic: ATS VS Recruitment CRM

7. Measure the effectiveness of your messages and your response rate

Whether you contact candidates by Connection Request, LinkedIn messages, Inmail, or Email, it is important to measure your response rate. Being Data Driven is inevitable for nowadays Talent Acquisition teams.

Response rates vary widely by role, seniority, channel, and market, so compare each campaign against your own past results rather than a universal benchmark. What should you do if your response rate drops for one of your recruitments?

A low response rate can be a symptom of several causes:

• The targeted population is not the right one, the job is too junior or not adapted to the candidates you have contacted
• The content of your messages is not persuasive or specific enough. Review the way you pitch the company, the project. Provide more information on the context (team, location, salary, …)
• The channel used to reach out to talent is limiting your response rate. In my experience, connection requests tend to earn more replies than InMails, so it is worth testing other communication channels.

Optimizing your approach will thus improve the results obtained in your talent sourcing process. Don’t hesitate to test several contents for your messages and thus refine your approach.

Being a big fan of the “Connection Request Messages”, I recommend this approach which allows you to increase your response rate and expand your network on LinkedIn. My advice is to prioritize connection requests over Inmails, which are additionally paid.

Don’t hesitate to follow up with contacted candidates

Some candidates only respond after one, two, or three follow-ups. This does not necessarily mean that they are not interested:

• Maybe they didn’t see your message
• Or perhaps they simply forgot to respond because they are overwhelmed

Following up with candidates can increase the response rate (see point above), and sometimes recruit excellent talents who are currently employed. Don’t hesitate to diversify the channels for following up with candidates you absolutely want to recruit. Contacting a candidate via LinkedIn, Inmail, and email maximizes your chances of communicating with them.

Using a Recruitment CRM type software to create multi-channel contact sequences can be a good solution to contact and follow up with candidates on different communication channels.

Common LinkedIn sourcing mistakes to avoid

The biggest mistake is trusting LinkedIn filters without checking what they exclude. Company lists, Boolean searches and manual profile review usually produce a cleaner shortlist than broad industry filters alone.

Two newer LinkedIn sourcing techniques worth adding in 2026

Two habits have become part of my routine and rarely show up in older guides. The first is sourcing from engagement instead of profiles alone. Search a keyword, then look at who comments thoughtfully on relevant posts. People who write substantive comments are showing expertise and are usually active, which often makes them easier to reach than a silent profile.

The second is using Similar Profiles as a search tool, not a suggestion box. Open your single best match, review the similar profiles LinkedIn shows, pick the strongest one, and repeat. After a few rounds you are inside a tight, well-defined talent pool that pure filters would have missed. Both techniques pair well with the title and company mapping you did at the start, because you can quickly judge whether each new profile fits the brief.

How to turn these sourcing techniques into a weekly workflow

Start each week by defining the role, target companies and must-have skills. Then run your LinkedIn Recruiter searches, or source LinkedIn Recruiter with Claude when you need a faster shortlist, save promising profiles, and review the shortlist before launching outreach. This rhythm keeps sourcing consistent without turning it into a last-minute scramble.

What to do after you build your shortlist

Once your shortlist is ready, focus on candidate engagement. Use a clear connection request, a relevant follow-up and a second channel when needed. For message examples, use our guide on how to message candidates on LinkedIn.

Hand your shortlist to a controlled workflow

Sourcing is only half the job. The other half is keeping the context you built so it does not vanish in a spreadsheet. Once your shortlist is validated, move it into a recruiting workspace where you can centralize multichannel outreach, prepare follow-ups, and keep control of the actions available in each account.

This is where Leonar fits alongside LinkedIn Recruiter. Review profiles individually, save the selected profile details to a Leonar project and stage, then add notes and prepare outreach separately in the CRM.