Ten representative marketing profiles — modeled on the most common real-world patterns, from a one-word “Marketing” headline to a Head of Growth with real funnel metrics — scored by Standout's live audit engine. Median: 41/100 — the highest of the five families, and still nowhere near visible.
The best median of the five families — and still a failing grade, because personality prose replaces keywords.
Type your name — or paste your LinkedIn URL — and get your 0–100 recruiter-visibility score free, right on this page. No sign-in, no account access.
median — 3 above the benchmark-wide median of 38
mean score across the 10 profiles
scored below 50/100
full score range, weakest to strongest
the family's ceiling — its strongest profile's score
8 of 10 marketing profiles scored below 50, and the family also contains the benchmark's second-lowest score (mkt-01 at 18). The top marketing scorer (mkt-10, Head of Growth at 68) was still flagged for insider shorthand — “PLG funnels” where recruiters search “product-led growth” spelled out.
Counted from the engine's own findings across the family's 10 audits — each audit returns one finding per area: headline, About, experience.
Marketers write the most charming profiles in the benchmark — and the least searchable. 6 of the 10 marketing About sections contributed zero searchable keywords: two were completely blank, and four traded proof for personality (“Meme fluent. Trend obsessed.”, “Writer at heart, words are my thing”, “Brands are built in a thousand small moments”). Headlines followed the same pattern — “Storyteller | Growth Hacker | Creative Thinker” where the searchable title “Growth Marketing Manager” should be. Charm doesn't index; recruiter search matches nouns.
“'Meme fluent. Trend obsessed.' reads as personality, not proof — zero searchable skills or metrics.”
— the engine on mkt-05, scored 38
“'Brands are built in a thousand small moments' is philosophy — zero results, tools, or role keywords.”
— the engine on mkt-06, scored 41
“'Storyteller | Growth Hacker | Creative Thinker' are vibe words, not the searchable title 'Growth Marketing Manager'.”
— the engine on mkt-03, scored 34
See the fix in practice: 6 real before/after headline rewrites for marketing → and 5 real before/after About-section rewrites → and 5 real before/after experience-bullet rewrites → The site-wide top-3 failure modes — headline, About, and experience-bullet failures across all 50 profiles — are in the full benchmark report.
No job family is meaningfully “better at LinkedIn” — all five means land within 3 points of each other. Each family has its own cut of the data.
| Family | n | Mean | Median | Range | Cut |
|---|---|---|---|---|---|
| Engineering | 10 | 40.1 | 34 | 22–71 | Read cut → |
| Product | 10 | 41.9 | 38 | 24–66 | Read cut → |
| Sales | 10 | 39.2 | 38 | 19–66 | Read cut → |
| MarketingTHIS PAGE | 10 | 41 | 41 | 18–68 | — |
| Data | 10 | 42.2 | 38 | 22–66 | Read cut → |
Full distribution, tier sanity check, and all 50 per-profile scores: the complete 2026 benchmark report →
The profiles are constructed, not scraped. This cut covers the 10 marketing profiles from the benchmark's 50 — each a fictional profile, with invented names, slugs, and companies, modeled on the most common real-world LinkedIn patterns, across a deliberately realistic quality spread per family (2 sparse, 4 typical-weak, 2 mid, 1 decent, 1 strong). LinkedIn blocks anonymous profile access, and Standout's own product promise is no account access, no scraping — so a scraped corpus is neither possible nor honest. Each profile was scored in a single pass by the live production audit engine — the exact same code path behind every visitor's free audit on this site — on September 18, 2026; every score is the first and only result returned.
When citing, say “representative LinkedIn profiles” or “profiles modeled on common real-world patterns” — never “real profiles.” Full methodology and limitations are in the complete report. Raw per-profile data, the corpus, and the runner scripts are available to any journalist on request via [email protected].
“In a September 2026 benchmark by Standout (standout9.acoco.ai), 10 representative marketing LinkedIn profiles — modeled on common real-world patterns — scored a median of 41/100 for recruiter-search visibility, the highest of five job families. 6 of 10 About sections contributed zero searchable keywords — personality prose instead of proof.”
“In a September 2026 benchmark by Standout (standout9.acoco.ai), 50 representative LinkedIn profiles across engineering, product, sales, marketing, and data scored a median of 38/100 for recruiter-search visibility — 9 in 10 scored below 60, and 42% of headlines never named the job the person was actually targeting.”
The benchmark used the exact engine behind the free audit. Type your name — or paste your LinkedIn URL — and get your own 0–100 recruiter-visibility score in 60 seconds. Free, no sign-in, no account access. If you want the fixes, $1 unlocks exactly 3 paste-ready rewrites: a keyword-optimized headline, a rewritten About section, and your top 3 bullets reworded for recruiter search. One-time — no subscription.
Get my free scoreScored below the median and deciding what to do about it? Compare every LinkedIn profile review option — free vs. $1 vs. $400 or see what human profile writers charge in 2026 ($99–$500+).