⚓️ The Bridge Brief
Drag
Most LinkedIn searches return too many irrelevant results, because users treat the search bar as a simple text box rather than a precision tool.
Pivot
Using Boolean correctly allows controlled precision, surfacing only the people who meet your exact criteria.
Yield
You reach the right contacts faster, avoid noise, and maximize the value of every outreach effort.
LinkedIn’s search bar looks like a simple text box. Most people never learn that it accepts Boolean at all, let alone how to shape it. So they type “VP Sales SaaS” or “Plant Manager Automotive“ and get recruiters, students, or anyone who happened to write those words somewhere in their profile. Boolean isn’t a trick, it’s controlled precision. When used well, it surfaces only the people who meet your criteria.
Why Search Returns Noise
The LinkedIn free search algorithm looks at all profile content, not just job titles. That means irrelevant profiles often appear:
Recruiters / Talent Acquisition: Include target keywords to attract candidates.
Interns / Students / Job Seekers: List aspirational roles or industries.
People “Looking for Work”: Highlight roles they want, not hold.
Consultants / Contractors / HR / Staffing: Mention keywords in past projects or advisory work.
Why it happens: Keywords anywhere on a profile can trigger a match, and LinkedIn search prioritizes broad relevance over precise titles.
🛠 The Fix: Boolean strings override LinkedIn’s broad relevance by using AND, OR, and NOT operators to filter unwanted profiles.
Step 1: Define Your Attributes (Navigation Coordinates)
Before generating a Boolean string, define your variables. Every string you create should be built from these attributes:
Target Titles: VP Sales, Head of Sales, Director of Operations, Plant Manager
Industry Keywords: SaaS, Cloud Software, Fintech, Manufacturing, Automotive
Exclusions (NOTs): Recruiter, Intern, Looking for Work, Talent Acquisition, HR, Staffing
Think of these as instruments on your bridge. Without them, you drift. With them, you steer straight to high-value leads.
Step 2: The Prompt (Your Immediate Tool)
Copy-paste this into ChatGPT or Google Gemini and replace the variable names - [Target Job Title] and [Industry] - with your search criteria (ex: [Head of Sales] in [Telecom])
Act as a Boolean Search Expert. I am looking for [Target Job Title] in [Industry].
Create a highly precise, LinkedIn-safe Boolean string for the main search bar, ensuring the Title group and Industry terms are logically connected.
Follow these constraints:
Grouping: Use one set of parentheses to group all Job Title variations.
Connection: Use implicit AND (a space) to connect the Title group with the Industry terms.
Title ORs: Use up to 3 OR variations for the job title.
Industry ORs: Use up to 2 OR variations for the industry (no parentheses needed unless used as a group).
Exclusion Group: Use one set of parentheses to contain all NOT exclusions (up to 3 NOTs).
Location: Do not include any location in the Boolean string. State clearly that location must be applied separately through LinkedIn’s location filter.
Required Structure:
(Title OR Title OR Title) Industry OR Industry (NOT Exclusion NOT Exclusion NOT Exclusion)
Optional Operators
LinkedIn provides several operators to fine-tune your search. These are optional, but powerful if used strategically:
Title:
Ensures keywords appear in job titles only, not elsewhere.
Example:
title:"VP Sales"finds profiles with that exact job title.
Company:
Filters for profiles currently working at a specific company.
Example:
company:"Apple"finds all employees at Apple.
School:
Targets alumni of a specific school or university.
Example:
school:"Stanford University"finds Stanford alumni.
This gives you a ready-to-use string that respects LinkedIn’s free search limitations and balances complexity with practicality.
Step 3: Construct the Ladder (Applying Your Attributes)
Once you have the AI-generated string, you can refine it progressively to match your search goals. Start with maximum precision. If you get zero results, step down the ladder.
Level 5 - Max Safe Complexity
Full precision. Use only if your market is large enough.
Example:("VP Sales" OR "Head of Sales" OR "Sales Director") (SaaS OR "Cloud Software") (NOT Recruiter NOT Intern NOT Talent Acquisition)
Level 4 - Add Exclusions
Strip it down to the essential NOTs. This removes unwanted noise but keeps structure intact.
Example:("VP Sales" OR "Head of Sales" OR "Sales Director") (SaaS OR "Cloud Software") NOT Recruiter
Level 3 - Expanded Titles + Industry Synonyms
If Level 4 gives zero results, drop the NOT terms and keep broad coverage.
Example:("VP Sales" OR "Head of Sales" OR "Sales Director") (SaaS OR "Cloud Software")
Level 2 - Add Alternative Titles
If still no results, cut title variations down.
Example:("VP Sales" OR "Head of Sales") SaaS
Level 1 - Ultra-Broad
Your last-resort baseline. If even this returns nothing, the niche is too small, or your terms need adjusting.
Example:VP Sales SaaS
Execution Tips: Paste the string in LinkedIn’s main search bar, hit Enter, then immediately select the People tab. This ensures you see profiles only, not posts, jobs, or companies. You can also use the Locations filter to narrow down the searches to your region of interest.
Troubleshooting & Iteration
Zero results? Step down the ladder or simplify ORs.
Too many irrelevant results? Step up slightly, add a NOT or refine industry.
Broaden titles: Sales Leader, Revenue Leader, Head of Sales.
Refine exclusions: Add extra NOTs for any recurring noise.
Boolean strings require precision. LinkedIn free search is limited, but with careful ladder use, location integration and exclusions, you control which leads surface.
The Undalis Takeaway
Recruiters, interns, and students appear because LinkedIn rewards keyword prominence. Boolean is your precise override: it filters noise, surfaces high-value leads, and puts you in command. Attributes are your coordinates, the ladder is your chart, and the People tab is your spyglass, letting you scan the horizon for the right prospects. You remain the captain.