Skip to main content

Keyword Search vs. Semantic Search

Written by Jan Alexander Jedlinski
Updated over 4 months ago

What’s the difference, and why does it matter?

When you search for candidates, our system uses two types of matching: Keyword Search and Semantic Search.
Both help you find the right candidates, but they work in very different ways.

Here’s a simple explanation.


🧠 What is Keyword Search?

Keyword Search looks for the exact words you typed.

Think of it as a very fast “Find” button inside thousands of resumes.

✔️ What it recognizes:

  • Exact words

  • Exact spellings

  • Basic variations (like plurals)

  • Specific phrases

❌ What it does not recognize:

  • Synonyms

  • Related words

  • Misspellings

  • Context

Example:

You search for “Salesforce”.

Keyword Search will only find resumes that literally contain:

  • “Salesforce”

  • Or very close spelling variations

It will not pick up candidates who list:

  • “CRM specialist”

  • “Experience with customer relationship platforms”

  • “Sales operations tools”

—even if they clearly have the right experience.

Keyword Search is perfect for:

  • Searching by names, IDs, emails

  • Checking for specific certifications

  • Finding exact tools or technologies


🤖 What is Semantic Search?

Semantic Search looks for meaning, not just words.

It understands the intent behind your search, similar to how a human recruiter reads a resume.

✔️ What it recognizes:

  • Synonyms

  • Related terms

  • Conceptual matches

  • Context of experience

  • Skills described in different ways

  • Different languages (in many cases)

❌ What it does not require:

  • Exact keywords

  • Exact formatting

  • Specific spellings

Example:

You search for “customer support experience in a fast-paced environment.”

Semantic Search understands the meaning behind this phrase and can match candidates who wrote things like:

  • “Call center agent handling 80+ calls per day”

  • “Experience with high-volume customer inquiries”

  • “Front desk associate managing rapid guest turnover”

—even though none of them contain the exact words you typed.

Semantic Search is perfect for:

  • Natural-language searches

  • Job description matching

  • Broader searches where context matters

  • Finding candidates who should match even if they don’t use your words

🆚 Side-by-Side Comparison

Feature

Keyword Search

Semantic Search

Looks for

Exact words

Meaning & context

Requires exact spelling

Yes

No

Understands synonyms

No

Yes

Handles natural language

No

Yes

Good for

Names, IDs, exact terms

Skills, experience, job matches

Finds related concepts

No

Yes

Handles multilingual phrases

Limited

Yes (with AI)

🎯 Why we use both in Candidate Search AI

Our Candidate Search uses a hybrid approach:

  1. Keyword Search ensures literal matches aren’t missed

  2. Semantic Search ensures conceptually relevant candidates are included

By combining the two, you get:

  • Broader coverage

  • Smarter matching

  • More accurate rankings

  • Fewer missed candidates

This means the search results feel more “human” and relevant—closer to how a recruiter would judge a candidate.

👋 We are always here for you if you need us!

Remember, our whole team is around almost 24/7 to support you! In fact, you can simply press the messenger button on the bottom right of this page to start chatting with us! Our team will be happy to assist you.

Did this answer your question?