Company LinkedIn Posts

Surface and analyze your prospect company's LinkedIn posts to identify relevant initiatives, pain points, and engagement patterns.

This insight helps time and tailor outreach based on the company's own social messaging and success metrics.

Why This Insight Matters

Reference specific company initiatives from posts
Time outreach around relevant announcements
Gauge social media marketing effectiveness
Identify pain points from company messaging

Subtype

Signal	Subtype Enum	Description
Company LinkedIn posts	`linkedinPost`	Recent posts from company LinkedIn page

Schema

{
  "signal_id": "9d1a3b8e-2d7c-4b8a-9a6e-1f9e2c8b6a21",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "signal_name": "Company posted on LinkedIn",
  "association": "company",
  "detected_at": "2025-09-10T18:31:22Z",
  "contact": null,
  "company": {
    "name": "Amazon",
    "domain": "amazon.com",
    "linkedin_url": "https://www.linkedin.com/company/amazon",
    "industries": ["E-commerce", "Cloud Computing", "Logistics", "Artificial Intelligence"],
    "employee_count_low": 1000000,
    "employee_count_high": 1600000,
    "description": "Amazon is a global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence."
  },
  "data": {
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7315779816467656705/",
    "post_text": "The National Football League (NFL) regular season is underway and brands are already competing for attention across digital channels.",
    "posted_date": "2025-09-09T14:39:39Z",
    "num_likes": 6928,
    "num_comments": 321,
    "tags": ["Content Marketing", "Brand Strategy", "Digital Campaigns"]
  }
}

Field Reference

Core Fields

Field	Type	Description
`signal_id`	string (UUID v4)	Unique identifier for this signal
`signal_type`	string	Always `"linkedin-post-company"`
`signal_subtype`	string	Always `"linkedinPost"`
`signal_name`	string	Always `"Company posted on LinkedIn"`
`association`	string	Always `"company"`
`detected_at`	string (ISO 8601)	When we saved this row
`contact`	null	Empty because on company level, not contact

Company Object

Field	Type	Description
`company.name`	string	Company name
`company.domain`	string	Company website domain
`company.linkedin_url`	string	LinkedIn company URL
`company.industries`	array[string]	Industry classifications
`company.employee_count_low`	integer	Lower bound of employee count
`company.employee_count_high`	integer	Upper bound of employee count
`company.description`	string	Company description

Data Object

Field	Type	Description
`data.post_url`	string (URL)	Link to the LinkedIn post
`data.post_text`	string	Full post content
`data.posted_date`	string (ISO 8601)	When the post was published
`data.num_likes`	integer	Number of likes on the post
`data.num_comments`	integer	Number of comments on the post
`data.tags`	array[string]	Gemini-generated topic tags

Example Output

"Saw Amazon's recent LinkedIn post about competing for digital attention during NFL season—great engagement on that one. When you're scaling content across multiple channels, maintaining personalization at volume is critical. Would love to share how Autobound helps companies like yours do exactly that."

Coverage

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