How this book is built

Every claim cites a primary source.

This book compiles what named authorities — LinkedIn's own product documentation, the U.S. Bureau of Labor Statistics, LinkedIn's Talent Solutions and Recruiter teams, MIT News, Google, and CPRW-vetted job-search research — actually say about how a candidate becomes visible on a recruiter's screen. Every empirical claim in the book has a source entry with author, publisher, year, and URL. If a claim can't be sourced, it doesn't ship.

The reality

44%

of active job-seekers got zero interviews in the previous month.

Source: Jobscan 2025 · N=442

32%

have been searching for over six months.

Source: Jobscan 2025

26.6%

Tunisian graduate unemployment. 35.6% for women.

Source: Institut National de la Statistique · Q2 2026

What the stack does

2.2×

interview rate for candidates with an optimised LinkedIn profile.

Source: Jobscan 2025 · N=442

10.6×

interview rate for candidates whose headline names the target job title.

Source: Jobscan 2025 · N=442

+8%

more hires when algorithmic writing assistance is applied to the résumé. Wages +10%. Peer-reviewed RCT, N=480,948, online freelance marketplace — closest available proxy for a traditional-employer résumé effect.

Source: Wiles, Munyikwa & Horton · Management Science 2025

Independent effect sizes

Each move, in its own study, on its own metric. Effect sizes are per row, per study — they do not stack multiplicatively.

Optimised LinkedIn profile Baseline → 2.2×

Source: Jobscan 2025 · Disclosed survey, N=442 · Interview rate

Headline names target job title Baseline → 10.6×

Source: Jobscan 2025 · Disclosed survey, N=442 · Interview rate

Algorithmic writing on résumé Baseline → +8 pp hires

Source: Wiles et al., Management Science 2025 · Peer-reviewed RCT, N=480,948 · Hire rate

Video intro attached to application Baseline → +10 pp callback

Source: AEJ: Applied Economics 2023 · RCT, N=2,021 firms · Callback rate

Bar widths are visual, per-row. The numbers on the right are the source of truth. Effects on different metrics (multipliers vs. percentage-point lifts) are not comparable across rows and do not multiply.

01

The evidence bar

Every chapter is written against a hard rule: number, publisher, year, URL. If any of the four is missing, the claim is cut.

Rule 01

Every stat is sourced.

Number, publisher, year, URL. If we can't source it, we cut it.

Rule 02

Primary sources first.

LinkedIn Economic Graph, LinkedIn Help Center, LinkedIn Recruiter Help, BLS, peer-reviewed studies. Not a blog citing a blog.

Rule 03

Rejected claims are named.

Popular career-advice statistics that can't be sourced (e.g. "60% of recruiter search weight is on the headline") are explicitly rejected in the per-chapter sources, not silently repeated.

02

What counts as a source

Two tiers are citable in the book. A third tier is documented and rejected.

  • Tier 1 · Primary / peer-reviewed / official

    LinkedIn's own product documentation, U.S. Bureau of Labor Statistics, peer-reviewed studies published in named journals, government regulator publications.

    Load-bearing. Every headline claim in the book is Tier 1 wherever possible.

  • Tier 2 · Established practitioner / disclosed methodology

    Nielsen Norman Group, Baymard Institute, Jobscan (CPRW-authored articles), MIT News summaries of published research, DataReportal, TGM Research, ILOSTAT country profiles.

    Citable when a Tier 1 source doesn't exist yet, or when a Tier 2 practitioner has done the closest disclosed-methodology work.

  • Tier 3 · Rejected

    Undisclosed-methodology blogs, marketing-agency posts without a study behind them, aggregator repeats of unsourced statistics.

    Documented per chapter — the per-chapter sources file names each rejected claim so it's visible what didn't make the cut.

03

The named authorities

Every claim in the book traces back to one of these organisations. Click through to their own material.

04

Sources by chapter

Each chapter's per-page sources file lists every claim, source, year, URL, tier, and notes on methodology. In the reader, footnote numbers on every claim link straight to the primary URL.

  • Chapter 1 · Findable · Headline

    LinkedIn Help Center · LinkedIn Talent Solutions 2025 · LinkedIn Recruiter Help · Jobscan 2026

    11 primary-source footnotes. See chapter 1 notes.

  • Chapter 2 · Findable · About section

    LinkedIn Help Center · LinkedIn Talent Solutions · Jobscan CPRW

    34 primary-source footnotes. See chapter 2 notes.

  • Chapter 3 · Followable · Activity

    LinkedIn (Tim Jurka, March 2026) · Rajkumar et al., Science, 2022 · AuthoredUp 2026

    14 primary-source footnotes. See chapter 3 notes.

  • Chapter 4 · Followable · ATS-safe résumé

    Greenhouse Support · Workday parser docs · BLS · Iowa State ATS study

    39 primary-source footnotes. See chapter 4 notes.

  • Chapter 5 · Verifiable · Résumé bullets

    Google's XYZ pattern · Jobscan CPRW · CareerBuilder audit

    15 primary-source footnotes. See chapter 5 notes.

  • Chapter 6 · Credentialed · Certifications & education

    CIO Magazine certification-value survey · Coursera Learner Outcomes Report · Anthology Institutional research

    12 primary-source footnotes. See chapter 6 notes.

  • Chapter 7 · Introducible · Referrals

    MIT News · Rajkumar et al., Science, 2022 (N ≈ 20M) · Jobvite Recruiter Nation

    19 primary-source footnotes. See chapter 7 notes.

  • Chapter 8 · Execution digest · Sprint

    No new empirical claims. Re-uses evidence from Chapters 1–7.

    Explicitly framed as an execution calendar. See the "note on sources" at the top of chapter 8.

05

Landing anchors

The numbers used to anchor the price and the market context on the landing page.

  • Tunisia SMIG (minimum wage) 2026

    Décret n° 2026-67, published JORT 30 April 2026 — 554.736 TND/month for a 48-hour week

    Source for the price-anchor line on the landing ("$29 ≈ 91 TND — less than five days of Tunisia's minimum wage"). A three-stage hike runs to 611.520 TND by 2028.

  • Tunisia graduate unemployment (INS Q2 2026)

    Institut National de la Statistique (INS) Tunisia — 26.6% overall graduate unemployment, 35.6% for women graduates

    Live INS dashboard, Q2 2026 quarter. Cite quarter + access date when using in permanent copy.

06

Versions & updates

The book is versioned. When a source updates — LinkedIn changes its guidance, BLS publishes a new labour report, a new peer-reviewed study lands — the affected chapter is revised, the version increments, and the original download link serves the new file.

Current version

Book v1.1 · Aug 2026

Every existing reader receives every future revision. The version stamp in the footer of every page names the current release. Substantive change history lives in the per-chapter sources files.

Questions about a specific source or claim? Email hi@thevisibilitystack.com — a real person replies within two business days.