CV Matcher vs Manatal: Which Is Better for Agency CV Screening?

1. Product Overview

2. Pricing Comparison

The pricing difference is most significant for agencies with multiple recruiters. Manatal's per-seat model means costs scale linearly with headcount. CV Matcher's flat Team plan covers up to 5 seats for $79/month.

Manatal's Starter plan ($15/user/month) includes limited features. Professional ($35/user/month) is needed for AI scoring, analytics, and full integrations — the tier most agencies would actually use.

CV Matcher's free trial gives you one full role with unlimited CV screening — no credit card required. Manatal offers a 14-day free trial.

3. AI Matching Quality

This is the most important difference for agencies focused on shortlist quality.

How Manatal's AI scoring works

Manatal's AI candidate scoring is primarily keyword matching augmented by social media enrichment. It compares keywords in the job description against keywords in the resume, then boosts scores using additional data pulled from LinkedIn and other public profiles. The result is a percentage match score for each candidate.

The limitation: keyword-based systems score candidates based on what words appear in their resume, not what they actually know. A DevOps engineer who writes "infrastructure automation" instead of "CI/CD" may score low on a job requiring "CI/CD pipelines" — even though they're the same skill.

How CV Matcher's AI works

CV Matcher uses semantic NLP — the same class of language models behind modern AI assistants. It reads meaning and context rather than matching strings. "Infrastructure automation", "CI/CD", and "deployment pipelines" are understood as related concepts. "Chartered Accountant" and "CPA" and "CA" are treated equivalently.

This matters most when:

• Candidates use different terminology than your job description
• You're hiring for adjacent roles where skills overlap (e.g. "Sales Engineer" vs "Solutions Consultant")
• Applicants have non-standard CV formats or career backgrounds

CV Matcher also generates a skills gap analysis for every candidate — showing exactly what's missing before you ring them. Manatal doesn't offer this.

Bulk upload

CV Matcher is built around bulk upload — drop in 200 CVs and get a ranked shortlist in under 5 minutes. Manatal's workflow is designed around individual applications flowing in through job postings. There's no "upload a folder of CVs and rank them all" capability in Manatal.

For agencies doing direct sourcing, receiving CVs by email, or exporting applications from external job boards (SEEK, Reed, Indeed), this is a significant difference.

4. Full Feature Comparison

5. Who Should Use Each

Choose CV Matcher if:

• Your main pain is screening time — you receive hundreds of CVs and spend too long on first-pass filtering
• You already have an ATS (Bullhorn, Vincere, JobAdder, or even a spreadsheet) and don't want to replace it
• You do direct sourcing or receive CVs by email and need to batch-screen them
• You want to start using AI screening today without a multi-week implementation project
• You want flat pricing that doesn't scale with headcount
• Shortlist quality and skills gap visibility matter more than pipeline tracking

Choose Manatal if:

• You need a complete ATS and don't have one — pipeline tracking, kanban, candidate database
• You post jobs to multiple job boards from one place
• You want social media enrichment to supplement CV data
• Your team collaborates heavily within the tool and needs shared pipeline views
• You're comfortable paying per seat as you grow

Use both together

Some agencies run CV Matcher and Manatal side by side: use CV Matcher to screen and rank all incoming CVs in bulk, then move the shortlist into Manatal to manage the recruitment pipeline. You get the best screening tool and the best ATS without compromising on either.

FAQ