Google for Jobs vs LinkedIn for hiring

Google for Jobs has no employer-facing posting UI. You publish a job page with valid JobPosting JSON-LD on your own site (or via an ATS), and Googlebot pulls it into the enriched widget on SERPs. No account, no dashboard, no employer login.

Indeed pulled out years ago and remains out as of 2026 - its postings never appear in the Google for Jobs widget. This is a competitive moat for careers sites and other job boards (LinkedIn, ZipRecruiter, Glassdoor) that do syndicate.

Default Indexing API quota is 200 URLs/day in test mode; production quotas now require an approval form. Multiple service accounts (a common workaround) are explicitly prohibited. Mostly hurts aggregators; single-employer careers sites rarely hit the cap.

Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Recruitee, Teamtailor, and BambooHR all auto-emit valid JobPosting JSON-LD on hosted careers pages. If you're on any of these, you're already in Google for Jobs - no engineering work needed.

Pure-remote roles need jobLocationType: TELECOMMUTE AND applicantLocationRequirements (country-level, e.g. USA). Putting a hiring-org HQ as jobLocation for a remote role is the most common mistake and causes the role to surface only on local searches near HQ.

Posting a 2nd simultaneous role requires Promote on at least one. Free posts auto-pause after 14 days or once they hit ~10 applicants, and fully close at 30 days if not promoted. Reposting the same title/company within 7 days forces promotion. Staffing/recruitment agencies are ineligible for free posts entirely.

LinkedIn's job-posting flow defaults to Promoted with prominent budget selectors; the free option is a small text link below. This is intentional funnel design - many SMB employers don't realize free exists.

Easy Apply posts average 834 applications vs 295 for traditional apply flows. Recruiters spend ~8.4 seconds per Easy Apply submission, and recruiter-side reports consistently estimate 90-95% of submissions miss basic requirements. Only ~3% receive human review.

LinkedIn's AI Job Match (launched Jan 2025) scores candidates against required and preferred skills using a Skill Ontology of 38,000+ skills. Job posts with thin Skills sections under-match and surface to a smaller passive-candidate pool. Adding the full set of required+preferred skills is the single highest-leverage edit to a free post.

LinkedIn data shows candidates are 1.8x more likely to apply when they recognize/are familiar with the company. Verified Company Pages (post-2025 employer-verification rollout) avoid being deprioritized by anti-scam filters that demote unverified employers.