# 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](/finding-leads/overview.md#from-a-link) for that — Content Search casts a wider net). Use [People Search](/finding-leads/linkedin-people-search.md) instead when you need volume by role, or [Company Search](/finding-leads/linkedin-company-search.md) 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: | Intent Category | What It Finds | | -------------------- | --------------------------------------------------------------------------------- | | **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 | Parameter | Default | Description | | ---------------------- | ---------- | ----------------------------------------------------------------------- | | 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: | Parameter | Default | Description | | ----------------- | ------- | ------------------------------------------------------------ | | 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](/finding-leads/linkedin-job-search.md) 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 1. **Be specific.** More specific search terms yield higher-quality prospects than broad keywords. 2. **Include pain points.** Search for the exact pain points your offer solves (from your offer description). 3. **Keep commenters on.** LinkedIn commenters are often highly engaged decision-makers. Leave commenter extraction enabled. 4. **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**](/finding-leads/linkedin-people-search.md): Target prospects by job title, company, and location * [**Enrichment Pipeline**](/enrichment/pipeline.md): See how discovered leads get enriched with full profile data --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://doc.autoreach.tech/finding-leads/linkedin-content-search.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.