Data report · Janeiro a maio de 2026

State of LinkedIn in Brazil in 2026

Summary

Karvi read 26,507 Brazilian LinkedIn profiles. Skills is the most incomplete section: 3.1/10 average, half the Headline score (6.0/10). About 28% of profiles fall below 60/100, the range where visibility in recruiter searches drops sharply.

26,507

profiles analyzed

3,1/10

average Skills section score

27,7%

of profiles below 60/100

01 — Methodology

How this report was produced

Aggregate data from 26,507 LinkedIn profile analyses run by Karvi between January and May 2026.

Total analyses: 26,507
Unique users: 25,698
With per-section detailed scores: 1,998
Period: Janeiro a maio de 2026

Each analysis reads the LinkedIn profile (exported PDF or public URL) and uses an AI model to evaluate 30+ criteria across 6 areas: Headline, About, Experience, Skills, Completeness, and overall Quality. Internally, each section gets a 0-10 score and the profile gets a 0-100 score, and these numbers feed the aggregates in this study. In the diagnosis the user sees, scores become qualitative levels (strong, needs attention, critical).

Per-section comparisons use only profiles whose analysis completed in full (1,998 profiles). Interrupted analyses are excluded.

No individual data is exposed in this report. All numbers are statistical aggregates. No personally identifiable information (name, current role, company, profile URL) was used in the quantitative analysis.

Karvi's user base is overwhelmingly Brazilian. The platform is in Portuguese and serves the BR market. Among profiles where we could detect the language (16,148 analyses), 97.6% were in Portuguese. When this report says "Brazilian profiles," it refers to that base composition, not a filter by declared country — LinkedIn doesn't expose that field reliably.

02 — Score distribution

Most between 70 and 90, but 28% in the invisible zone

Distribution of overall scores (0–100) across 5,503 complete analyses. The peak sits between 70 and 90, but the left tail weighs in: about 28% of profiles fall below 60.

Distribution peak

55%

of profiles between 70 and 90 points

Invisible zone

27.7%

of profiles below 60 points

Score range% of profiles

0–10

0.1%

10–20

0.3%

20–30

1.1%

30–40

3.6%

40–50

9.8%

50–60

12.8%

60–70

15.8%

70–80

27.5%

80–90

27.5%

90–100

1.5%

Invisible zone (below 60)Visible range (60 or higher)

Most Brazilians on LinkedIn already have a functional profile. "Functional" isn't "visible": within the same set of LinkedIn Recruiter filters, small differences in profile quality lead to large differences in result position.

The overall score is a weighted average of Headline, About, Experience, Skills, Completeness, and qualitative signals. A profile can do well in Headline and About and still be stuck at 65 because of Skills and Completeness.

03 — Key finding

The most neglected section: Skills

Across 1,998 profiles with complete analysis, Skills averages 3.1/10. That's half the Headline score (6.0/10), and the largest gap between evaluated sections.

Average score

3,1/10

The Skills section is half the Headline score (6.0/10).

Largest gap between evaluated sections across 1,998 profiles with complete analysis.

Profile sectionAverage score (0–10)

About6.3
Headline6.0
Experience5.2
Skills3.1

Skills is where LinkedIn Recruiter matches candidates with role filters. When a recruiter filters by "Python" or "Project Management," the platform cross-checks against the skills declared on the profile first — not the experience text.

With a 3.1/10 average, most Brazilian profiles have this section outdated, incomplete, or too generic to trigger filters. According to LinkedIn, members with 5+ skills listed receive up to 33x more recruiter messages and 17x more profile views. The Brazilian average shows that most aren't anywhere near that bar.

The gap is usually one of translation. People invest time in how they describe themselves (Headline, About) and rarely convert that positioning into specific skills the search algorithm can actually read.

04 — What this means

The "invisible zone" and what it reveals

A profile below 60/100 has low probability of appearing on the first pages of LinkedIn Recruiter. Within the same filter set, the platform orders results by signals like profile completeness, keywords in primary sections, and recent activity.

Four signals of a profile in the invisible zone

01The profile doesn't show up on the first pages of recruiter searches.
02Outdated or absent skills, failing to trigger role filters.
03Generic headline, no differentiator in the first 6 seconds.
04About empty or copied from the resume, without the keywords recruiters search for.

A score below 60 says nothing about the person's qualifications. It says the profile isn't communicating that value in a way the algorithm and recruiters can detect. It's a presentation problem, and it's fixable.

And your profile — which range is it in?

Karvi evaluates 30+ criteria across 6 areas and shows which sections are dragging your profile down, with ready-to-apply suggestions.

Run the free diagnosis on your profile

Built by Bruno Bertolini · 10,122 analyses in the last 30 days

Frequently asked questions

Questions about the report

How was this data collected?

The data comes from analyses run voluntarily by Karvi platform users between January and May 2026. Each analysis processes the LinkedIn profile (exported PDF or public URL) with AI models that evaluate 30+ criteria across 6 areas. All numbers in this report are statistical aggregates. No individual or identifiable data was published.

Can I cite this report?

Yes. You can cite this report in articles, presentations, or research with the source: "Karvi, State of LinkedIn in Brazil 2026, karvi.app/linkedin-brasil-2026". The data is made available for educational and journalistic use. For commercial use or full reproduction, contact hi@karvi.app.

What does a score below 60 mean?

A score below 60/100 indicates that the profile has gaps in at least 2 of the 6 evaluated areas. Profiles in this range usually have lower visibility in LinkedIn Recruiter searches because the platform uses profile-quality signals to order results within the same filter set. That says nothing about the person's qualifications. It says the profile isn't communicating that value in a way the algorithm can detect.

Why does the Skills section score so low?

The Skills section is usually underestimated because it looks simple. But it's exactly where LinkedIn's algorithm matches candidates with recruiter filters. People put effort into Headline and About and rarely translate that positioning into specific, searchable competencies. Outdated, overly generic ("communication," "leadership"), or missing skills explain the 3.1/10 average in the data.

Does this pattern apply to my field?

The report doesn't segment by professional area. The data is aggregated across all profiles. The pattern of incomplete Skills tends to be broad, but intensity varies by sector. Tech, for example, has candidates more used to listing specific technical competencies. In areas like HR, marketing, and sales, more generic skills appear more often.

When will this report be updated?

The next update is planned for August 2026. To be notified, subscribe to the newsletter at hi@karvi.app.