AI Finder lets you discover contacts and companies from LinkedIn using natural language queries instead of manually configuring complex filters in LinkedIn Sales Navigator. Describe your ideal prospects in everyday language, and AI Finder automatically builds an optimized search — returning matching results ready to import into Enginy.
Table of Contents
Before You Start
How It Works
Available Filters
Contact Search Filters
Company Search Filters
Intent Search Filters
Identity Specific Filters (optional)
Key Benefits
AI Recommendations
How AI Recommendations Work
Recommendation Types
FAQs
Before You Start
Make sure your AI Playbook and Personal Information are properly configured in Enginy. These settings help the system understand your target audience, industry, and sales focus, allowing both AI Finder and AI Recommendations to deliver more relevant results.
How It Works
Instead of selecting dozens of individual filters like job title, industry, or location, you describe what you are looking for in plain language and AI Finder automatically interprets your intent, generates the right filters, and returns matching results.
Example query:
"CTOs at early-stage startups in Barcelona"
The AI will automatically build an optimized LinkedIn search with the correct job titles, industries, company sizes, and locations — returning matching contacts or companies ready to import.
Search Step by Step
Describe your target — Type a natural language query into the AI Finder search field (e.g., "Marketing directors at fintech startups in London").
Review generated filters — The system analyzes your query and builds an optimized LinkedIn Sales Navigator search. Review the filters it has selected.
Adjust if needed — Modify, add, or remove any generated filters before proceeding.
Import results — Add matching contacts or companies directly from LinkedIn into Enginy.
Tip: You can revisit your previous searches anytime through Search History in the AI Finder textbox
Available Filters
AI Finder supports the following LinkedIn Sales Navigator filters. When you enter a natural language query, the AI automatically selects and configures the relevant filters from this set.
Contact Search Filters
Use these filters when searching for people (leads):
Filter | Description |
Current Job Title | Specific job titles or roles. Supports multiple languages based on region |
Geography | Geographic location (cities, states, countries, regions) |
Past Job Title | Roles held previously in career history |
Function | Professional function or department (Sales, Engineering, Marketing, HR, Finance, etc.) |
Seniority Level | Job seniority (e.g., Entry, Senior, Manager, Director, VP, C-level). |
Years in Current Company | Tenure at current employer (Less than 1 year, 1–2 years, 3–5 years, 6–10 years, More than 10 years) |
Years in Current Position | Time spent in current role across all employers |
Years of Experience | Total years of professional experience |
First Name | Lead’s first name |
Last Name | Lead’s last name |
Profile Language | Primary profile language |
School | Educational institutions attended |
Company Search Filters
Use these filters when searching for people (leads):
Filter | Description |
Industry | Business sector or market vertical (e.g., Software development, Technology, Healthcare, Finance, etc.) |
Company Headquarters Location | Location of the company’s headquarters (city/region/country). |
Company Headcount | Total employee count (1–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,001+) |
Current Company | Filter leads by their current employer. |
Past Company | Filter leads by previous employers in their work history. |
Company Type | Organization type (e.g., Public company, Private company, Nonprofit, Government, Self-employed). |
Use these other filters when searching for organizations (accounts):
Filter | Description |
Industry | Business sector or market vertical (Technology, Healthcare, Finance, etc.) |
Headquarters Location | Location of the company’s headquarters (city/region/country). |
Company Headcount | Total employee count (1–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,001+) |
Annual Revenue | Estimated annual company revenue range. |
Company Headcount Growth | Company headcount growth over a selected period. |
Number of Followers | Total number of LinkedIn followers for the company. |
Department Headcount | Employee count within a specific department (e.g., Engineering, Sales, Marketing). |
Department Headcount Growth | Department headcount growth over a selected period. |
Fortune | Filter by Fortune ranking/list inclusion (e.g., Fortune 500). |
Recent Activities | Filter by recent company activity signals on LinkedIn (e.g., posts, hiring, growth signals). |
Job Opportunities | Filter by companies with open job postings (hiring activity). |
Intent Search Filters
Use these filters to refine the search of people (leads) with intent data:
Filter | Description |
Changed Jobs | Boolean Yes/No |
Posted on LinkedIn | Boolean Yes/No |
Category Interest | Filter by the lead’s interest in specific categories/topics. |
Tip: Contacts who recently changed jobs typically show higher engagement rates. Consider combining the Changed Jobs filter with your outreach campaigns for better response rates.
Identity Specific Filters (optional)
Use these filters to refine the search of people (leads) with Sales Navigator identity specific filters:
Filter | Description |
Connection | Relationship degree (e.g., 1st/2nd/3rd degree). |
Persona | Filter by predefined personas (lead profiles) based on role/seniority/function. |
Connections of | Show leads who are connections of a selected person. |
Shared Experiences | Filter by shared background (e.g., same company, school, groups, or experiences). |
Following your Company | Leads who follow your company page. |
Past Colleague | Leads who previously worked at the same company as you. |
Viewed your Profile Recently | Leads who viewed your profile recently. |
Lead Lists | Filter by your saved lead lists. |
People You Interacted With | Leads you have interacted with (e.g., messaged or engaged with). |
Account Lists | Filter by your saved account lists. |
Groups | Filter by LinkedIn groups the lead is a member of. |
Use these filters to refine the search of organizations (accounts) with Sales Navigator identity specific filters:
Filter | Description |
Saved Accounts | Filter by accounts you’ve saved in Sales Navigator. |
Accounts Lists | Filter by your saved account lists. |
Connection | Relationship degree to people at the account (e.g., 1st/2nd/3rd degree connections). |
Key Benefits
Saves time: Search setup takes seconds instead of minutes. No need to manually configure multiple filters.
Smarter searches: AI Finder finds more relevant results by automatically generating variations and combinations of filters you might not have considered.
No learning curve: Anyone can create advanced LinkedIn Sales Navigator searches instantly using everyday language.
Accurate results: The AI understands intent behind your query and adjusts filters intelligently to deliver precise matches.
AI Recommendations
Alongside the AI Finder search field, Enginy offers AI Recommendations — dynamically generated suggestions that proactively surface relevant contacts and companies tailored to your Identity, existing clients, and activity on the platform.
How AI Recommendations Work
Instead of building searches from scratch, AI Recommendations present ready-to-use queries that match your business focus. Each recommendation appears as a selectable pill directly below the AI Finder search input. Clicking one instantly generates a customized list of leads or companies aligned with your sales strategy.
Important: For the most accurate and personalized recommendations, make sure your AI Playbook and Personal Information are properly configured. These settings help the system understand your target audience, industry, and sales focus, allowing AI Recommendations to deliver more relevant suggestions.
Recommendation Types
AI Recommendations are categorized based on different prospecting strategies:
Type | Description | Example |
Recently Promoted | Contacts who recently changed roles in your target market. | "Recently promoted sales leaders in Europe". |
People You May Know | Suggested leads based on your network and activity (LinkedIn recommendations). | "Universitat de Barcelona alumni in tech sales". |
AI Contact Discovery | Contacts matching your ICP in strategic locations. | "LinkedIn-active tech sales leaders across Europe". |
ICP Aligned Companies | Organizations matching your Ideal Customer Profile with buying signals. | "Financial services firms actively hiring marketing teams" or "Growing B2B SaaS firms actively hiring sales teams". |
AI Company Discovery | High-potential companies showing expansion indicators. | "Enterprise tech companies with leadership transitions". |
Recommendations evolve over time based on:
Your defined Ideal Customer Profile (ICP)
User behavior and engagement patterns
Market trends and signals
This means your suggestions stay relevant and continue to surface new opportunities as your business focus changes.
FAQs
Q1: Can I use AI Finder with sources other than LinkedIn?
Not yet. AI Finder currently works exclusively with LinkedIn imports. Support for additional sources is planned for future releases.
Q2: Can I edit the filters that AI Finder generates?
Yes. After AI Finder generates filters from your query, you can review, modify, add, or remove any filter before importing contacts or companies.
Q3: What types of searches does AI Finder support?
AI Finder supports both:
Contact searches (people) — e.g., "Marketing managers in SaaS companies"
Company searches (organizations) — e.g., "Fintech startups in London"
Q4: What happens if my query is too broad or unclear?
The AI will still generate results, but they will be broader and less targeted. For more precise matches, include specific details such as job titles or functions, industries, locations, and company size ranges.
Q5: What are AI Recommendations based on?
AI Recommendations are powered by your Identity and AI Playbook configuration. The system uses these inputs to generate tailored lead and company suggestions that align with your business goals.
Q6: Can I modify a recommended search after selecting it?
Yes. Once you select a recommendation, you can adjust any filters, exclude specific results, or export the list to campaigns or workflows.
Q7: How is AI Finder different from AI Recommendations?
AI Finder lets you search using natural language queries that you write yourself.
AI Recommendations proactively suggests pre-built queries based on your account configuration, activity, and Ideal Customer Profile.