Surface and analyze a prospect company's LinkedIn posts to identify initiatives, pain points, and engagement patterns.
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.
Subtype
Signal
Subtype Enum
Description
Company LinkedIn posts
linkedinPost
Recent posts from company LinkedIn page
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
Field
Type
Description
signal_id
string (UUID)
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 detected this signal
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 (~300 possible values)
data.summary
string
LLM-generated 10-15 word summary of the post
data.pain_points
array[object]
Challenges or problems mentioned in the post
data.initiatives
array[object]
Projects or strategic moves mentioned in the post
data.technologies_mentioned
array[object]
Tech products or platforms referenced
data.competitors_mentioned
array[object]
Other companies referenced in the post
Pain Points Object
Field
Type
Description
topic
string
Description of the pain point
intensity
float (0-1)
How acute the pain is expressed (higher = more acute)
Initiatives Object
Field
Type
Description
topic
string
Description of the initiative
urgency
float (0-1)
How immediate/active the initiative is (higher = more urgent)
"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."
Coverage
Refresh: Every 2 weeks
Coverage: 25-50% of companies
Best for: Trigger-based outreach, understanding company priorities, timing outreach around announcements