83% of Job Seekers Check Company Reviews — Here's How Employers Measure What They See

Glassdoor research found that 83% of US job seekers are likely to research company reviews and ratings when deciding where to apply — and its users typically read around six reviews before forming a view. That number, from Glassdoor's own findings and cited in a newly updated practitioner guide (last revised November 2026), explains why employer brand budgets survive or die on measurement rather than sentiment.

The guide, published by Undercover Recruiter (owned by Link Humans, which makes the Employer Brand Index benchmark), argues that employer brand is "easy to talk about and hard to prove." When the only evidence is a nicer careers page and some well-liked LinkedIn posts, it's usually the first budget on the chopping block.

Why measurement is hard

Three structural problems get in the way:

• Attribution. Pay, the job market, consumer brand and layoffs can all move hiring numbers more than any campaign.
• Lag. Reputation shifts over quarters, not weeks. A new employer value proposition can take a year to show up in reviews and retention.
• Fragmentation. The data sits in the ATS, HRIS, web analytics, review sites and survey tools, usually owned by different teams.

When the authors asked ten employer brand leaders at companies including Salesforce, Cisco, HubSpot, GE and RBC how they measured success, every one gave a different answer. RBC's Estela Vazquez Perez summed it up: there is no one-size-fits-all scorecard.

What does the four-layer framework change?

The guide splits measurement into a funnel: awareness (do the right people know you hire?), perception (what do they think?), conversion (does it turn into applications and accepted offers?) and experience (does reality match the promise?). Pick one headline metric per layer, set a baseline before changing anything, and track quarterly.

The perception layer carries some of the hardest numbers. Glassdoor also reported that employers lifting their overall rating by at least half a point saw roughly 20% more job clicks and 16% more apply starts. But the star rating is a blunt instrument — a 3.9 doesn't tell you what to fix. Theme-level sentiment does.

At the experience layer, Survale's 2025 CandE Benchmark Research, based on more than 66,000 candidate surveys, found poor communication and ghosting was the top negative theme, and 31% of North American candidates had heard nothing back a month or more after applying.

What about AI answers?

The guide adds a fifth check that barely existed a few years ago: what AI assistants tell candidates about you. In Built In's 2026 survey of 162 talent acquisition and HR leaders, 91% said AI tools influence how candidates research employers — yet only 33% were confident their brand was accurately represented in AI results, and 73% worried candidates were getting outdated or inaccurate information. Only about half used a formal reputation metric at all.

The fix is a monthly routine: run a fixed prompt set ("Is X a good place to work for software engineers?") across the main assistants, log accuracy, sentiment and cited sources, then fix the public sources — not the symptoms.

How do you prove ROI?

Be honest with your CFO: you won't get a perfect causal number. The guide recommends before-and-after baselines, comparison groups for phased rollouts, and translating outcomes into money — agency fees avoided, days saved in time-to-fill, regretted leavers prevented — using the standard ROI formula with your own cost figures and conservative ranges.

As Cisco's Carmen Collins put it: "Set clear goals and measure against them." Keep the scorecard to no more than three headline metrics, or the story gets lost.