LinkedIn Content Search
Discover high-intent decision-makers through LinkedIn posts and comments. AutoReach generates intent-organized search queries, searches LinkedIn's content feed, and extracts both post authors and commenters as leads.
When to Use This vs. People or Company Search
Content Search is the highest-intent way to find leads on LinkedIn. Instead of asking "who has this title?" it asks "who is right now posting or commenting about the problems my offer solves?" Authors are warm. Commenters are sometimes even warmer — they took the time to engage publicly.
Use Content Search when:
You want your first few replies fast — these leads have inherent intent signal and tend to score and convert higher than role-only matches.
Your offer solves a problem people complain about publicly (most B2B pain points qualify).
You want to mine engagement on a specific influencer's posts (use From a Link in Finding Leads Overview for that — Content Search casts a wider net).
Use People Search instead when you need volume by role, or Company Search when you're targeting a specific company type. Most pipelines benefit from running Content Search alongside one of the others rather than choosing one — Content for intent, the others for steady volume.
How It Works
1. Intent-Based Query Generation
AutoReach's AI generates search queries based on your offer, organized by intent category:
Pain Points
Professionals discussing operational challenges, inefficiencies, and frustrations
Hiring Signals
Recruiting efforts, team expansion, skill gaps
Solution Seeking
People evaluating tools, comparing options, asking for recommendations
Buying Intent
Budget allocation, purchase decisions, vendor selection
Growth Signals
Revenue growth, market expansion, new initiatives
All intent categories are searched automatically to maximize coverage.
Queries are always generated server-side. Unlike X Tweet Search, you cannot provide your own queries directly.
2. Content Discovery
AutoReach searches LinkedIn's content feed to find posts matching your queries. Posts are discovered and their full details fetched- including post text, author profile, engagement metrics, and creation date.
3. Commenter Extraction
When commenter extraction is enabled (the default), AutoReach extracts commenters from each discovered post, capturing their name, headline, profile URL, comment text, and the parent post context.
Note: LinkedIn commenters are often decision-makers actively engaging with relevant content, which is a strong buying signal.
4. ICP Matching
Extracted prospects are matched against your offer's target audience. All discovered prospects are added as leads- scoring happens during the enrichment pipeline.
5. Recurring Daily Searches (Buyer Expansion)
Enable Buyer Expansion to run the search automatically every 24 hours. Each recurring run regenerates fresh queries to avoid repeating previous searches and capture new content.
Search Parameters
Posts per search query
25
Max posts to collect per query
Search period
Past month
How far back to search (Past 24 hours, Past week, Past month, Any time)
Include commenters
enabled
Extract commenters from discovered posts
Max comments per post
50
Max comments to fetch per post
Feed search
disabled
Also search your LinkedIn feed for signals
Buyer Expansion
disabled
Enable automatic daily re-runs
Enrichment options
-
Whether to run enrichment and deep analysis on discovered leads
Hiring Signals
Additional settings for hiring signal detection:
Max Jobs per Role
100
Max job postings to collect per role target (slider: 25–200)
Max Companies
30
Max companies to process (slider: 10–50)
See LinkedIn Job Search for details on how hiring signals work.
Cost Estimation
Before running a search, use the cost estimation feature to preview estimated costs based on your settings.
Progress Tracking
While a content search runs, progress is tracked and updated in real time. You can monitor:
Posts found: Total LinkedIn posts matching your queries
Comments fetched: Total comments retrieved
People found: Unique prospects identified
People after ICP match: Prospects matching your ICP
Current operation: What phase the search is in
Current query: Which query is currently being searched
Best Practices
Be specific. More specific search terms yield higher-quality prospects than broad keywords.
Include pain points. Search for the exact pain points your offer solves (from your offer description).
Keep commenters on. LinkedIn commenters are often highly engaged decision-makers. Leave commenter extraction enabled.
Run recurring searches. Set up daily LinkedIn content searches to capture new prospects continuously with fresh query rotation.
Example Workflow
Offer: "People analytics and HR software platform"
Intent categories searched: Pain Points, Hiring Signals, Solution Seeking, Buying Intent, Growth Signals
AI-generated queries might include:
"struggling with employee retention"
"need visibility into team performance"
"talent management challenges"
"hiring pipeline needs improvement"
Result: Content search finds posts discussing HR challenges, hiring, and performance management. Post authors and commenters are extracted- CHROs, VPs of People, and Talent Acquisition leaders discussing your exact problem space. All are added as leads and queued for enrichment and scoring.
Troubleshooting
Seeing too many generic results?
Review your offer description and pain points for clarity
Not finding enough prospects?
Increase posts per search query to collect more results
Add more specific pain points to your offer
Check if your target audience is active on LinkedIn
Getting low ICP match rates?
Verify your offer's target audience and pain points are well-defined
High duplicate rate across searches?
This is normal. The same prospect may comment on multiple relevant posts. Deduplication happens before leads are added to your database.
Next Steps
LinkedIn People Search: Target prospects by job title, company, and location
Enrichment Pipeline: See how discovered leads get enriched with full profile data
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