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Inclusive Hiring

What Your Job Ad Is Actually Saying, and Why Most Candidates Decide Before the First Interview

May 18, 2026 · 7 min read

Picture this. Two companies post for the same role, a mid-level compliance analyst. Same salary range. Similar responsibilities.

❌ Company A writes
“We’re looking for an aggressive self-starter who thrives in high-pressure environments and hits the ground running.”
✓ Company B writes
“You’ll work with a cross-functional team to identify risk patterns, with room to grow your expertise in financial regulation.”

Both descriptions are accurate. Both companies are probably fine places to work. But they are not saying the same thing.

Candidates know it.

Why Does Job Posting Language Drive Candidate Decisions?

Most hiring managers think applicants read for requirements. They don’t, not primarily. They read for culture. A single adjective like “aggressive” or “dominant” triggers something closer to pattern recognition than conscious analysis.

This isn’t a soft observation.

🔬 Peer-Reviewed Research
A 2025 study published in PNAS tracked 37,920 participants across four separate studies. Replacing masculine-coded language with gender-neutral alternatives meaningfully increased the diversity of applicant pools, not just for women, but also for men who don’t identify with traditional masculine norms.
He, J.C. & Kang, S.K., PNAS, Vol. 122, February 2025

Think about who that second group includes. Plenty of excellent analysts, engineers, and strategists who simply don’t perform well under the framing of “we want a warrior.”

You’re not filtering for competence. You’re filtering for self-presentation style. Those are very different things.

What Do the Studies Say About Job Ad Language?

Let’s stay concrete, because this topic attracts a lot of vague claims.

+13%
more total applications with neutral-language postings
Ongig, 60,000 job descriptions, 2022
+33%
more women apply to top-scoring inclusive postings
Textio, millions of hiring outcomes
25%
faster time-to-fill for language-optimized postings
Textio internal research

Twenty-five percent faster. In a market where roles can sit open for 45, 60, or 90 days, that’s not a rounding error.

There’s also the Glassdoor dimension, which tends to get underweighted in these conversations.

76%
of job seekers consider D&I when evaluating companies and job offers
Glassdoor
32%
won’t apply at all if the company signals low commitment to inclusion
Glassdoor, rises to 41% among Black and LGBTQ+ candidates

You’ll never know these people existed. They just didn’t apply.

Is the Research on Job Ad Bias Reliable?

⚠️ Worth knowing
MIT Sloan’s Institute for Work and Employment Research found that tweaking gendered language alone produces effects that are statistically real but not large enough to call transformative in practice. Language change in isolation isn’t a lever you pull once and walk away from.

The honest synthesis: language functions as part of a coherent signal. When word choices, listed benefits, tone, and company description all tell a consistent story, candidates form a clear impression. Change just the adjectives while leaving everything else pointing in the old direction, and the effect is muted. That’s probably what MIT Sloan is observing.

Signal coherence is the real variable. Not any single word.

What Does Inclusive Job Ad Language Actually Look Like?

Not a checklist. More like a quick test you can run on any job ad before publishing: what kind of person would feel unwelcome here?

🔤
Word choices
Replace “aggressive” with “determined.” Replace “culture fit” with a specific description of how the team actually works together.
📋
Listed benefits
Mention mentorship, growth resources, and learning budgets, not just salary. Balance and development matter to the candidates you want.
🎯
Tone precision
“Fast-paced environment” repels candidates from burnout. Describe what fast-paced means in practice, and what support exists alongside it.
🏢
Company description
Candidates cross-reference your about page, Glassdoor reviews, and LinkedIn. The job posting isn’t read in isolation, it’s triangulated.

None of this means softening the actual requirements. It means precision. Describe what the role genuinely demands and what working there actually looks like. The candidates who self-select in will be better matches. The ones who self-select out? They would have struggled anyway.

What Is the Real Cost of Biased Job Ad Language?

50%
reduction in cost-per-hire for companies with a strong employer brand
LinkedIn Employer Brand Research · Universum
more applicants per open role vs. companies with a weak employer brand
Multiple industry studies

Employer brand isn’t something you build on a careers page you redesign every few years. It’s built by every piece of communication a candidate reads before they ever speak to a recruiter.

The job posting is that communication. A posting written carelessly isn’t just neutral. It’s information. And candidates are good at reading it.

What Do Most Companies Get Wrong About Job Ads?

The issue is rarely malice. It’s inertia.

Most job postings are written by copying last quarter’s version and updating the headcount. The language accumulates, phrases that felt standard five years ago, requirements nobody questioned because whoever wrote them also wrote the last ones. A tone that persists not because anyone chose it, but because no one changed it.

Language risk in hiring documentation is often invisible until it shows up as a pattern: in your applicant data, in your Glassdoor ratings, in a candidate who quietly tells a recruiter the posting didn’t feel right for someone like them.

The good news is that fixing this is mostly an editing problem, not a culture problem. Start with the language. The signal changes fast.


Language risk doesn’t only appear in job postings.
It shows up in emails, client communications, and internal documents, often without anyone noticing. VerbaSense detects these patterns in real time, inside Outlook and Gmail.
See how it works →

Frequently Asked Questions

Why does job posting language affect who applies?

Research shows that certain language patterns, particularly male-coded wording or vague culture descriptors, discourage qualified candidates from applying, especially women and underrepresented groups. Candidates read job ads as signals of company culture before deciding whether to invest time in an application.

What does inclusive job ad language actually look like?

Inclusive job ads use skills-based requirements, avoid gendered terms, and signal concrete DEI commitments rather than vague culture claims. Tools like VerbaPulse can scan draft job postings and flag language patterns that correlate with lower application rates from diverse candidates.

How much does biased job ad language cost employers?

Biased language shrinks the qualified candidate pool, extends time-to-hire, and creates employer brand damage that compounds over time. The Glassdoor survey found 32% of candidates will not apply if a company signals low D&I commitment, rising to 41% among Black and LGBTQ+ candidates.

Can AI tools fix job ad language automatically?

AI tools like VerbaPulse can flag problematic language in real time, suggest neutral alternatives, and help teams build consistent brand voice across all job postings. They work directly inside Gmail and Outlook, requiring no change to existing workflows.

See how VerbaPulse flags risk before an email is sent, right inside Gmail and Outlook.

See VerbaPulse in action →
What Is Email Risk in the Workplace? How AI Detects It →