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Social Intelligence

Glassdoor Review Signals

Published Updated

7-dimension sentiment analysis from employee reviews. Track culture, management quality, compensation satisfaction, CEO approval, and business outlook across 2M+ companies.

Read the API docs
Companies Covered
2M+
Sentiment Dimensions
7
Refresh Cadence
Monthly
Signal Subtypes
58
Delivery
REST API, GCS Push, Generate Insights API, Flat File
Format
JSONL or Parquet
Bucket
gs://autobound-glassdoor-company-v2/

What Are Glassdoor Review Signals?

Glassdoor review signals classify recent employee reviews into themes like leadership complaints, compensation dissatisfaction, poor work-life balance, culture praise, growth opportunities, and retention concerns. Each signal aggregates reviews from the past 30 days that share a theme and includes the company's full rating profile: overall score plus culture, management, compensation, career growth, work-life balance, CEO approval, and business outlook.

The dimensional detail matters because star ratings hide specifics. A company can score 3.6 overall while management sentiment collapses, exactly the pattern that precedes executive turnover and new-vendor evaluation. Autobound covers 2M+ companies and refreshes monthly; declining management scores plus rising hiring velocity is one of the strongest organizational-change combinations in the dataset.

Example subtypes

Leadership complaintsglassdoorConsistentLeadershipComplaints

From a real record

Klarnaklarna.comOct 9, 2026

Multiple reviews cite micromanagement and poor leadership at Klarna

CEO approval
35%
Reviews read
10
Overall rating
3 / 5
Culture
2.9 / 5
Management
2.4 / 5
Compensation
2.8 / 5

Source: glassdoor.com

From a Glassdoor review to your next move

What we detect, what you get, and what you do with it. Pick the path that fits your team.

Sales, marketing and RevOps: Slack, CRM fields and plays.

  1. 0103

    Employees say what is broken

    We group recent employee reviews by theme, such as leadership or pay, and attach the company's rating profile.

    1. Glassdoor
    GlassdoorJun 12, 2026

    Multiple recent reviews cite unclear strategic direction and decisions made without input from the teams executing them, a recurring theme across operations and support roles...

    Extracted
    Turoturo.comcompanyLeadership complaintssignal_subtype
  2. 0203

    You get one clean record

    Each record names the company and its domain, labels what happened, and links back to the source.

    1. Signal record

    Turo

    turo.comSoftware Development

    Leadership complaintsglassdoorConsistentLeadershipComplaints

    Employees across departments describe senior leadership as disconnected from day-to-day operations

    “Multiple recent reviews cite unclear strategic direction and decisions made without input from the teams executing them, a recurring theme across operations and support roles...”
    Overall
    3.1 / 5
    Management
    2.4 / 5
    Detected
    Jun 12, 2026
    Source
    glassdoor.com

    signal_id b5e12d78…

  3. 0303

    Act on it where you work

    Send it to Slack, write it to your CRM, or give it to an AI agent.

    When
    signal_subtype = glassdoorConsistentLeadershipComplaints
    Do
    Leadership or engagement pitch to the CHRO
    1. Your team acts
    or your own code
    #account-signals

    Signal alert from your workflow

    Turo· Leadership complaints

    Employees across departments describe senior leadership as disconnected from day-to-day operations

    Play: Leadership or engagement pitch to the CHRO

    Start the playOpen the source

    Illustration. The record fields are real.

Try it on your own accounts

1,000 free credits. Query glassdoor-review in the Signal API or from Claude.

How we build this signal

How we build each Glassdoor signal

Each run reads a company's recent Glassdoor reviews, and code holds the model's claims to the number of reviews behind them.

Review window
30 days
Reviews needed for high confidence
3+
  1. 01

    Collection

    For each company we read its Glassdoor reviews and overall ratings, then keep only the reviews posted in the last 30 days. A company with no recent reviews gets no signal.

  2. 02

    Extraction

    A model reads the recent reviews with the company's ratings and writes signals into a closed list of subtypes. Code drops any other subtype.

  3. 03

    Evidence guards

    Confidence is capped by evidence: high needs 3 or more recent reviews, medium needs 2. With one or two reviews, words like "many employees" or "consistently" are rewritten to match the count. Claims about long-standing trends become present tense, because the window is 30 days.

  4. 04

    Dedup and delivery

    Each record lists the review window, review count and reviewers' job titles. It is keyed on company domain, newest review date and subtype, so the same reviews never ship twice.

Glassdoor Signal Data Schema

Glassdoor signals include multi-dimensional sentiment scoring, review volume trends, and extracted themes from recent employee feedback.

{
  "signal_id": "b5e12d78-4a9c-4f33-8e1b-7c3d6a890f12",
  "signal_type": "glassdoor-review",
  "signal_subtype": "glassdoorConsistentLeadershipComplaints",
  "detected_at": "2026-06-12T07:45:19Z",
  "association": "company",
  "company": {
    "name": "Turo",
    "domain": "turo.com",  // match on domain
    "linkedin_url": "linkedin.com/company/turo",  // or match on LinkedIn URL
    "industries": ["Software Development"],
    "employee_count_low": 501,
    "employee_count_high": 1000,
    "description": "Peer-to-peer car sharing marketplace..."
  },
  "contact": [],
  "data": {
    "summary": "Employees across departments describe senior leadership as disconnected from day-to-day operations",
    "detail": "Multiple recent reviews cite unclear strategic direction and decisions made without input from the teams executing them, a recurring theme across operations and support roles...",
    "relevance": 0.9,
    "confidence": "high",
    "sentiment": "negative",
    "competitors_mentioned": [],
    "technologies_mentioned": [],
    "overallCompanyRatings": {
      "overall_rating": 3.1,
      "work_life_balance_rating": 3.4,
      "culture_rating": 3.0,
      "management_rating": 2.4,
      "compensation_rating": 3.5,
      "career_opportunities_rating": 2.9,
      "ceo_approval": 0.41,
      "recommend_to_friend": 0.52,
      "business_outlook": 0.38
    },
    "total_reviews": 612,
    "recent_reviews_count": 14,
    "review_date_newest": "2026-06-08T08:42:35Z",
    "review_date_oldest": "2026-05-11T06:36:15Z",
    "job_titles": ["Operations Manager", "Customer Support Specialist", "Software Engineer"],
    "glassdoor_id": 953544,
    "glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Turo-EI_IE953544.htm"
  }
}

Bulk data

Need this signal for 10,000+ companies?

Get a free sample file or a bulk feed (API, GCS push, flat file). The sample is real Glassdoor Reviews records, as a CSV.

Talk to sales

Measured coverage

What's inside Glassdoor Review Signals

A dated snapshot counted in our production database, not a live count. Minimums, not ceilings.

Coverage for all 35 signal types →
51,240
Companies with fresh data per month
6-month average, records through Jul 14, 2026
189,919
Records created per month
6-month average, records through Jul 14, 2026

Top subtypes

58 total
Glassdoor Compensation Dissatisfaction163K · 13%
Glassdoor Consistent Leadership Complaints160K · 12%
Glassdoor Growth Opportunities130K · 10%
Glassdoor High Culture Praise127K · 9.9%
Glassdoor Poor Work Life Balance122K · 9.5%
Glassdoor Cross Functional Collaboration Issues59K · 4.6%
Glassdoor Talent Retention Concerns57K · 4.4%
Glassdoor Learning Development Praise35K · 2.8%
🇺🇸United States55K · 32%
🇮🇳India15K · 9.0%
🇬🇧United Kingdom14K · 8.5%
🇨🇦Canada7.5K · 4.5%
🇦🇺Australia4.3K · 2.6%
🇸🇬Singapore2.9K · 1.7%
🇲🇾Malaysia2.2K · 1.3%
CA 16KNY 10KTX 8.3KFL 5.5KIL 4.3KMA 3.6K

Top industries

all industries →
IT Services and IT Consulting6.2K · 3.7%
Hospitals and Health Care5.7K · 3.4%
Software Development5.5K · 3.2%
Financial Services4.0K · 2.4%
Retail3.0K · 1.8%
Advertising Services2.9K · 1.7%
Building Construction2.9K · 1.7%

Join keys

fill rate
Domain100%
LinkedIn URL77%
Company name100%
Records measured 1,280,117+Companies reached 168,384+

See for yourself

Check out sample data: real Glassdoor Review records with the same fields the API returns.

Read the API docs
“Autobound's API streamlined our data management, accelerated product development, and improved outreach quality.”
AiSDR Team, Engineering Team, AiSDR

Frequently asked questions

What are Glassdoor review signals?
Glassdoor review signals track employee sentiment trends across 7 dimensions: management quality, culture, compensation, work-life balance, career growth, CEO approval, and overall rating. Autobound monitors 2M+ companies and detects meaningful shifts in sentiment that indicate organizational challenges or opportunities.
How does Autobound detect Glassdoor review signals?
Autobound aggregates Glassdoor review data monthly and analyzes sentiment trends across 7 dimensions. Our models detect significant drops in category scores, extract recurring themes from review text, and emit signals when sentiment shifts cross configurable thresholds. Each signal includes the specific dimension affected and trend direction.
How should I use Glassdoor data in my outreach?
Use Glassdoor signals as a leading indicator of organizational change, not as a direct talking point. Declining management scores often precede executive turnover. Culture concerns signal internal tool frustration. Frame your outreach around the business challenge rather than citing reviews. 'Companies scaling at your pace often face X challenge' is more effective than 'Your Glassdoor reviews say Y.'