Company LinkedIn Posts

Overview

Company LinkedIn Posts surface what your prospects are publicly saying about their priorities, challenges, and initiatives.

We track 4M+ company LinkedIn pages. To maximize coverage where it matters, we optimize the scan pool by geography, industry, and company importance—prioritizing high-value accounts while maintaining broad distribution. Each post is analyzed to extract structured pain points, initiatives, technologies mentioned, and competitors referenced.

The result: you can reference a company's own words in outreach, time messages around announcements, and infer priorities they've made public—without manually scrolling through feeds.

How we build and maintain coverage: Our scan pool is designed to maximize buyer coverage across your highest-value accounts while maintaining a well-distributed sample across geographies, industries, and company sizes.

We continuously ingest new LinkedIn company page URLs and evaluate whether we can successfully gather posts from them. We plan to roughly double the total number of companies in our monitoring pool in the near term - expanding coverage for mid-market, SMB, and international segments.

See how coverage works →

Subtype

Schema

{
  "signal_id": "7f09831f-e135-49da-8db9-c3f48fd2deff",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "signal_name": "Company posted on LinkedIn",
  "association": "company",
  "detected_at": "2026-01-06T19:12:42.111Z",
  "company": {
    "name": "First Command Financial Services, Inc.",
    "domain": "firstcommand.com",
    "linkedin_url": "linkedin.com/company/first-command-financial-services",
    "employee_count_low": 1001,
    "employee_count_high": 5000,
    "industries": [
      "Financial Services"
    ]
  },
  "data": {
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7274105232534462465/",
    "post_text": "Advisor Spotlight! How have Advisors changed their business practices over the past five years? See the variety of ways...",
    "posted_date": "2024-12-09T18:40:42.000Z",
    "num_likes": 47,
    "num_comments": 4,
    "tags": [
      "Leadership",
      "Business Strategy",
      "Financial Planning"
    ],
    "summary": "First Command highlights innovative business practices from successful financial advisors.",
    "pain_points": [],
    "initiatives": [
      {
        "topic": "showcasing advisor success stories",
        "urgency": 0.7
      }
    ],
    "technologies_mentioned": [],
    "competitors_mentioned": []
  }
}

Field Reference

Core Fields

Company Object

Data Object

Pain Points Object

Initiatives Object

Technologies Mentioned Object

Competitors Mentioned Object

Example Output

"Saw your recent LinkedIn post about the AI adoption event—sounds like a great initiative. When organizations are rolling out AI tools, having the right data infrastructure is critical. Would love to share how we're helping similar public sector teams scale their AI implementations."

Identity Resolution

Company LinkedIn post signals are resolved to a company record using a direct, deterministic path:

1. LinkedIn company page URL captured from the post activity
2. Matched against our company database (75M+ companies) using the LinkedIn company URL
3. Company firmographic data attached: domain, industries, employee count range, description

Key Points

• Direct match. LinkedIn company page URLs are unique identifiers — there is no ambiguity.
• Coverage: company.domain is populated on 99%+ of signals. company.linkedin_url is populated on 95%+.
• Join on company.domain or company.linkedin_url to match signals to your CRM or data warehouse.

Full matching guide with SQL examples: Resolution

Coverage

• Refresh: Every 2 weeks
• Coverage: 25-50% of companies
• Best for: Trigger-based outreach, understanding company priorities, timing outreach around announcements

How Coverage Works

Our scan pool balances two objectives: deep buyer coverage on your most important accounts, and broad distribution across the market.

Prioritizing hot accounts. Companies identified as high-value—based on account importance, industry fit, and size—are prioritized for monitoring. This ensures the accounts most likely to appear in your pipeline have the highest likelihood of coverage.

Sampling across segments. Beyond priority accounts, we maintain a well-distributed sample across geographies, industries, and company sizes. This prevents blind spots in underrepresented segments and ensures signal coverage scales with your market, not just your target account list.

Continuous URL ingestion. We are constantly adding new LinkedIn company page URLs to the scan pool and evaluating whether we can successfully gather posts from them. Pages that are publicly accessible and active are retained; inactive or restricted pages are cycled out.

Pool expansion. We plan to roughly double the total number of companies in our monitoring pool in the near term. This expansion specifically targets improved coverage for mid-market and SMB companies, international markets (EMEA, APAC), and emerging industries and verticals.