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How to Use ListKit’s AI-Powered Company Filters to Find Your Ideal Leads

Andre Haykal Jr avatar
Written by Andre Haykal Jr
Updated over a week ago

ListKit’s company filters are powered by deep website crawling, enrichment, and AI analysis across millions of businesses. These filters help you quickly narrow down companies that actually fit your ICP — not just by surface-level firmographics, but by how companies operate, grow, and position themselves.

This guide explains what each filter means, when to use it, and how to combine them for outbound campaigns that convert.


AI Score

What it is
AI Score measures how strongly a company is focused on artificial intelligence based on real signals from their website, product pages, features, and technology stack.

This includes:

  • AI-powered product features

  • Mentions of AI, automation, machine learning, or LLMs

  • AI-first positioning or messaging

How to use it

  • High: AI-native or AI-first companies

  • Medium: AI-enabled or experimenting with AI

  • Low: Little to no AI focus

When to use it

  • Selling AI tools, automation software, or data platforms

  • Targeting buyers who already understand AI and don’t need education

Example

Selling AI sales tools → Filter for AI Score labeled Medium or High


Target Audience

What it is
The primary type of customer the company sells to, based on website copy and positioning.

Common values

  • Small Businesses

  • Mid-Market

  • Enterprise

  • Homeowners

  • Developers

  • Agencies

  • Consumers

  • B2B SaaS

When to use it

  • Matching your offer to companies that sell to a similar audience

  • Avoiding ICP mismatch (e.g. SMB tools pitched to enterprise-only vendors)

Example

Selling to agencies → Filter Target Audience = Agencies


Business Model

What it is
How the company delivers its product or service.

Common values

  • SaaS

  • Agency

  • Public

  • Government

  • Donations

  • Franchise

  • Marketplace

  • Ecommerce

  • Services

  • Hybrid (e.g. SaaS + Done-For-You)

When to use it

  • Segmenting software companies vs service providers

  • Tailoring outbound messaging to how they operate

Example

Selling software → Filter Business Model = SaaS


Revenue Model

What it is
How the company makes money, inferred from pricing pages and product structure.

Common values

  • Subscription

  • Usage-based

  • One-time purchase

  • Commission

  • Retainer

  • Freemium

  • Tuition

  • Donations

When to use it

  • Aligning your pitch with how buyers think about ROI and pricing

  • Separating subscription buyers from project-based buyers

Example

Selling recurring tools → Filter Revenue Model = Subscription


Growth Stage

What it is
An estimate of where the company is in its lifecycle, based on headcount, traffic, product maturity, and public signals.

Common stages

  • Public

  • Private

  • Acquired

  • Series A

  • Early

  • Growth

  • Scaling

  • Mature

When to use it

  • Finding companies with urgency and budget

  • Avoiding very early startups or slow-moving enterprises

Example

Most outbound performs best → Target Growth or Scaling companies


Vertical

What it is
The broad industry the company operates in.

Examples

  • Software

  • Healthcare

  • Financial Services

  • Marketing

  • Real Estate

  • E-commerce

When to use it

  • High-level ICP segmentation

  • Industry-specific outbound campaigns


Micro Industry

What it is
A more specific sub-category within a Vertical, based on exact product positioning.

Examples

  • Software → CRM

  • Software → Marketing Automation

  • Healthcare → Telehealth

  • Ecommerce → DTC Brands

When to use it

  • Highly targeted outbound

  • Writing ultra-relevant personalization

Pro tip
Micro Industry targeting consistently produces higher reply rates than broad verticals.


Recommended Filter Combos (Examples)

Selling AI tools

  • Business Model = SaaS

  • AI Score = High

  • Growth Stage = Growth / Scaling / Scale-Up

  • SEARCH RESULTS = 38,169 companies

Selling services to agencies

  • Business Model = Agency

  • Employee Range = 1–10 and 11–50

  • Revenue Model = Retainer

  • SEARCH RESULTS = 3,103 companies

Selling enterprise software

  • Target Audience = Enterprises

  • Employee Range = 51+

  • Revenue Model = Subscription

  • SEARCH RESULTS = 1,084 companies


Final Tip

Start broad, then narrow:

  1. Choose Business Model + Growth Stage

  2. Layer in Vertical or Micro Industry

  3. Finish with AI Score or Revenue Model

This approach gives you volume and relevance — the fastest way to book more meetings with ListKit.

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