When you search for people on LinkedIn, the results aren’t shown in one fixed order for everyone. LinkedIn uses proprietary relevance algorithms to generate a results order that’s unique to each member, based on the search query and the searcher’s context. This means the same search can look different for different people.
Because results are personalized, testing a query using a small number of accounts usually won’t represent how a profile appears across the millions of searches run on LinkedIn each day.
Why there’s no single correct order
Unlike standard search engines that can return a more uniform ranking for a given query, LinkedIn search results for people are tailored to the person searching. The order of results can be influenced by factors such as:
- Your profile and activity on LinkedIn
- Your connections and network
- Other member behaviors related to similar searches
This personalization is designed to surface results that are most likely to be relevant to you.
What relevance means in LinkedIn search
Relevance is determined by a proprietary algorithm that LinkedIn continuously improves. Before results are shown, LinkedIn may consider signals such as:
- The searcher’s activity on LinkedIn
- The profiles that match the query
- Patterns from other members who ran similar searches
- The searcher’s past search history (to help predict what may be most useful)
These signals are combined to help optimize results for the searcher’s intent.
Measuring your overall visibility
Because search results are personalized and can vary across members, a more helpful indicator of how visible your profile is can be the number of views your profile receives. You can review this in the Who’s Viewed Your Profile section on your homepage.
Keywords: more isn’t always better
Adding more keywords to your profile doesn’t automatically improve your appearance in search results. LinkedIn recommends:
- Including keywords that accurately reflect your expertise and experience
- Avoiding “keyword stuffing” (overfilling your profile with long lists of keywords)
If a profile appears overly optimized, it may be impacted by spam detection systems, which can negatively affect visibility in search results.
Natural language search on LinkedIn
You can search using keywords or natural, conversational language to discover relevant results. For example, you might type a role, skill, or company name or you can type a full question. LinkedIn search is designed to interpret intent, so natural language queries can help surface results that better match what you’re trying to find.