How It Works

How It Works

How AI Recruiting Agents Find and Rank Candidates

Beesla works by using AI recruiting agents to find, evaluate, and rank candidates based on role intent rather than keywords. Instead of manually searching resumes or profiles, recruiters describe the role and let Beesla handle sourcing and evaluation automatically.

This page explains exactly how Beesla works, step by step, so you know what’s happening behind the scenes when you run a search.

Step 1: Define the Role

Every Beesla search starts with role definition.

You can:

• Write a role description in plain English
• Paste a full job description
• Add preferences or dealbreakers

Examples:

• Required skills or experience
• Seniority level
• Industry background
• Things to avoid, like frequent job changes

Beesla treats this input as context, not a keyword list.

Step 2: AI Agents Run the Search

Once you start a search, Beesla runs AI agents that perform several tasks in parallel:

• Identify relevant candidate profiles
• Analyze experience, skills, and career history
• Compare candidates against the role requirements
• Filter out low-signal or irrelevant matches

Each candidate returned is the result of actual agent work, not a cached list.

Step 3: Candidates Are Scored and Ranked

As results are generated, Beesla assigns each candidate:

• A relevance score
• A short explanation describing why they match the role

Scoring is role-specific.

The same person may rank differently for different roles.

This allows recruiters to:

• Quickly focus on the strongest matches
• Understand why candidates are ranked where they are
• Make informed decisions instead of trusting a black box

Step 4: Results Are Added to Your CRM

Every candidate returned by a search is automatically added to your CRM.

This happens immediately and at no extra cost.

The CRM:

• Stores candidates and companies
• Tracks search history
• Prevents duplicates
• Enables team collaboration

You don’t need to manually save or export anything.

Step 5: Review, Collaborate, and Decide

After results are returned, you can:

• Review candidates in the CRM
• Compare candidates across searches
• Share profiles with teammates
• Leave notes or tags

Reviewing and collaborating does not consume tokens.

Beesla is designed so that once data is retrieved, you can work with it freely.

How Tokens Apply During This Process

Tokens are used only when Beesla retrieves new data.

• Each candidate returned by a search costs tokens
• Each company detail request costs tokens
• Saving and reviewing data in the CRM is free

This means cost is tied directly to results, not usage time or seats.

For details, see Tokens and Billing.

Why This Approach Is Different

Traditional recruiting tools rely on:

• Keyword matching
• Manual filtering
• Static databases

Beesla focuses on:

• Intent-based matching
• Automated evaluation
• Ranked shortlists instead of raw lists

The goal is fewer candidates, higher quality, and faster decisions.

What to Expect From Your First Searches

A strong search usually returns:

• A manageable number of candidates
• Clear separation between strong and weak fits
• Results you would actually consider contacting

If results feel noisy, adjusting the role description usually fixes it.

What’s Next

To learn how to write better role descriptions, see Natural Language Search.

To understand how costs scale with usage, see Tokens and Billing.