The LinkedIn Reachability Index

Who a public LinkedIn search actually shows you at seven major employers, measured with live data: the first page is stacked with executives who will never answer a cold message.

The index: executive pollution in the first ten results

For each company below we ran the same public people search a job seeker would, sampled the profiles it returned, and counted how many of the first ten are executives. Each row lists its own sample size and the share of sampled profiles our parser places at that company, because this measures who is findable through public search, not how many people work anywhere. Search results shift, so the counts move; this snapshot was measured 12 September 2026.

#CompanyExecs in first 10Example titles in those tenWhere our search ranks themSampleYour move
1JPMorgan4/10Chief Procurement Officer; Managing Director#25 avg30 profiles, 87% at JPMorganGet referred at JPMorgan →
2Google2/10COO; Chief Product Officer#28 avg30 profiles, 63% at GoogleGet referred at Google →
3KPMG2/10Chair and CEO; KPMG Chief Alumni Relations Officer#26 avg30 profiles, 70% at KPMGGet referred at KPMG →
4Anthropic1/10Chief Legal Officer#30 avg30 profiles, 100% at AnthropicGet referred at Anthropic →
5OpenAI1/10Chief Research Officer#30 avg30 profiles, 93% at OpenAIGet referred at OpenAI →
6Databricks0/10none in the first ten#29 avg30 profiles, 73% at DatabricksGet referred at Databricks →
7Uber0/10none in the first ten#28 avg30 profiles, 87% at UberGet referred at Uber →

Method and honesty notes at the bottom of the page. Download the full dataset as JSON (CC BY 4.0: free to cite with a link to this page).

Why the first page is the wrong page

Search engines rank profiles by prominence: follower counts, press, seniority. That is useful when you want to know who runs a company, and close to useless when you want someone to walk your resume to a hiring manager. A Chief Procurement Officer does not answer cold referral requests; the volume of inbound alone makes it impossible.

The people who say yes are one or two rungs from the job you want: senior individual contributors, team leads, and recent hires who remember what the search felt like. They get a fraction of the cold messages, they know the hiring manager, and at most large companies a successful referral literally pays them a bonus (see our referral bonus data page).

Our free search inverts the prominence ranking: the executives above landed at average position 25 to 30 in our results for the same companies, while the top of the list goes to reachable people who share something with you.

Quotable numbers

Citing this page? Any of these lines can be quoted as is, with a link back here (CC BY 4.0).

Four of the first ten profiles a public LinkedIn search returns for JPMorgan are executives, including a Chief Procurement Officer. Measured 12 September 2026.

Across seven major employers, 10 of the 70 profiles on the first page of a public LinkedIn people search are executives, the people least likely to answer a cold message from a stranger.

A referral-focused ranking pushes those same executives down to average position 25 to 30 and leads with managers and senior individual contributors instead.

Check it yourself in 30 seconds

  1. Open LinkedIn and search a big company name under People, or run a web search for public profiles at that company.
  2. Count the executives in the first ten profiles you see.
  3. Ask yourself which of those ten would realistically answer a stranger asking for a referral.

Then run the same company through our search and compare who ranks first.

See who can actually refer you - free →

Free · No sign-up · See results in ~10 seconds

A plain LinkedIn search buries the people who would actually help you.

It ranks by prominence, so the most-followed, most-messaged names sit on top. FindWarmIntros surfaces the coworkers who share your school or a past employer - the people most likely to reply - and hands you a ready-to-send intro.

Example - what you’ll see
in
Someone who works at your target company
馃帗 Same university as you  ·  馃捈 Shared past employer
馃敟 Strongest
in
A recruiter at your target company
馃帗 Same university as you
馃帗 Alumni

鉁嶏笍 Ready-to-send intro“Hi - we both studied at [your school]. I’d love to hear about your path to a company you are targeting before I apply…”

… plus everyone else in your network who can put in a good word.

Quick answer

Public LinkedIn search ranks people by prominence, so the first profiles you see at a big company are often executives: JPMorgan had 4 in its first ten when we measured, Anthropic 1. Prominence is close to the opposite of who replies to a referral request. The people who actually pass referrals along sit a rung or two from the job you want.

  • 10 of the 70 first-page profiles across seven employers were executives.
  • A referral-focused ranking pushes the same executives to average position 25 to 30.
  • Message senior ICs, team leads, and recent hires on the team you are targeting instead.

Pick your target company:

Frequently asked questions

What is the LinkedIn Reachability Index?

A measurement of who a plain public LinkedIn people search actually surfaces at seven major employers. For each company we run the same search a job seeker would, sample the first pages of results, and count how many of the first ten profiles are executives. Executives rank high because search rewards prominence, but prominence is close to the opposite of who replies to a referral request.

Why are executives the wrong people to ask for a referral?

A CEO or co-founder receives so much inbound that a cold message from a stranger is effectively invisible, and most are too far from day to day hiring to walk your resume to a hiring manager anyway. The people who actually pass referrals along sit a rung or two from the job: senior individual contributors, team leads, and recent hires on the team you are targeting.

How is the index measured?

Each company row samples public LinkedIn profiles returned for that company by the same search query our product runs, then scores them with the shipped ranking code. Each row lists its sample size and the share of profiles the parser places at the target company. It measures who is findable through public search, not how many people work anywhere. Roles only; no personal names are stored or published. Search results shift, so the counts move; this snapshot was measured 12 September 2026.

Who should I message instead?

Someone one or two rungs from the role you want, ideally with an overlap that makes the message feel natural: same school, a shared past employer, or the same team. That is exactly what our free search ranks first.

Method, honestly

  • Live results from the same company search query our product runs, scored by the shipped ranking code under a company-only plan. Collection is manual, so the numbers are a dated snapshot of a scorer we keep correcting; every render re-checks each published executive against the scorer running today, and a company whose count no longer reproduces is withheld rather than reprinted.
  • 210 public profiles sampled across seven companies (JPMorgan 30, Google 30, KPMG 30, Anthropic 30, OpenAI 30, Databricks 30, Uber 30), measured 12 September 2026.
  • An executive only counts if the profile is placed AT the target company by the parser. A founder of some other company appearing in the results does not count. Ambiguous company queries (for example LinkedIn itself, whose people search matches half the network) are excluded entirely rather than published with a caveat.
  • This measures who is findable via public search, not company headcount, and not anyone's willingness to help. Search results shift daily; treat every number as a dated snapshot.
  • Roles only. No personal names are stored in the dataset or published on this page.

Related: referral bonus amounts by company 路 why referrals work (the stats) 路 how to get a job referral, step by step

Find your warm intro →