Jobscan vs Rezi vs Teal: Tested on 50 Real Tech Job Descriptions

Short answer: ATS match scores from tools like Jobscan, Rezi, and Teal are marketing metrics, not how enterprise hiring systems operate. Greenhouse, Lever, and Ashby do not automatically reject resumes below an 80% score; they index text so recruiters can search and filter. While these tools can help spot missing keywords, their monthly subscriptions are often overpriced compared to simple manual tailoring.

Resume optimization platforms have built large businesses around the fear of the "ATS algorithm." They warn candidates that without a high optimization score, their resume will be automatically purged by artificial intelligence before human eyes ever see it.

To evaluate how these platforms perform on technical resumes, we tested Jobscan, Rezi, and Teal across 50 real software engineering job descriptions. Here is what we discovered.

The Comparison Matrix#

1. Jobscan: High Cost, Aggressive Keyword Matching#

Jobscan compares your resume against a job description and produces an overall percentage score along with a list of missing keywords.

What Works#

• Exact-Match Detection: Quickly identifies whether specific technical requirements (e.g., "Kubernetes", "Kafka", "PostgreSQL") appear in your document.
• Section Parsing Previews: Displays how an ATS extracts your contact information and work history.

Where It Fails#

• The Keyword Stuffing Trap: Jobscan heavily weights frequency. It often flags that you only mentioned "Python" twice when the job description mentions it five times, encouraging candidates to insert repetitive, unnatural keyword lists.
• High Cost: At roughly $49.95 per month, it is one of the most expensive career utilities on the market.

2. Teal: Great Tracker, Inconsistent Match Scores#

Teal combines a Chrome extension job tracker with an integrated resume builder.

What Works#

• Search Organization: Its application pipeline dashboard is clean, letting you bookmark listings from LinkedIn and track your progress through interview stages.
• Free Basic Tier: You can use the core tracking features without paying for a subscription.

Where It Fails#

• The Match Score Formula: Its matching algorithm frequently flags non-essential words (like "leadership", "cross-functional", or "communication") as critical missing skills, distracting from the core technical stack.
• AI Text Output: Its AI-generated bullet points tend to produce vague, corporate-sounding summaries that lack concrete engineering metrics.

3. Rezi: Strong Clean Formatting, Formulaic AI#

Rezi focuses on generating structured, single-column resumes designed specifically to parse cleanly in ATS systems.

What Works#

• Clean Document Typography: Rezi enforces strict single-column layouts with standard margins, preventing the column-parsing errors that plague multi-column designs.
• Export Hygiene: Exports clean PDF and DOCX files with standardized metadata tags.

Where It Fails#

• Formulaic AI Writing: Its bullet-generation tool relies on repetitive action-verb templates that feel automated to experienced engineering hiring managers.

How Modern ATS Platforms Actually Work#

The central premise of resume score tools is flawed because modern ATS platforms do not rank candidates on a 0 to 100 scale:

1. Greenhouse and Lever: These systems display incoming applicants in a clean list sorted by submission date. Recruiters open the file, read the top of your work history, and decide whether to schedule a screen.
2. Text Indexing: Recruiters use search bars to filter candidates (e.g., searching for "Go" AND "Distributed Systems"). As long as those terms appear naturally in your work history, your resume appears in the search results.
3. Review Cutoffs: What causes candidates to get ignored is almost always timing lag, not a missing 5% keyword score. If 300 candidates apply before you, the recruiter stops reviewing before reaching your row.

The Practical Tailoring Protocol#

Rather than paying $30 to $50 per month for resume scoring software:

1. Use a Simple Single-Column Document: Stick to standard layouts with clear headings: "Technical Skills", "Work Experience", and "Education".
2. Scan the Requirements Manually: Look at the top three bullet points under the job's "Requirements" section. If the posting emphasizes "distributed systems scaling in Go", ensure your most recent job description explicitly mentions your experience with Go and distributed systems.
3. Apply Early: Timing beats fine-grained keyword tuning. Using a direct-ATS monitor like Fastlyy to submit your application within hours of an opening going live will do more for your callback rate than obsessing over an 85% score on Jobscan.