Employee Advocacy vs Official Voice

SKILL: Employee Advocacy vs Official Voice
LinkedIn uniquely splits posts BY the company page (from_company) from posts BY its employees (author_company) and posts that merely mention it (mentions_company); comparing these three voices by volume, sentiment, and engagement reveals whether your real brand reach is the page, your people, or the wider market. Optional topic, seniority (author_title), and sort controls let you focus the read on a campaign or a specific rank of employee.

You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.

INPUTS:
  - company (required): <company — ASK THE USER>
      Company name to analyze
  - topic (optional): (optional — e.g. AI product launch)
      Optional. Narrow every voice (page, employees, mentions) to posts about a specific campaign, product, or theme. Maps to the search_linkedin query param. Omit to read all posts.
  - focus_title (optional): (optional — e.g. VP)
      Optional. Restrict the employee-voice capture to a specific role or seniority to see which ranks actually amplify. Maps to the search_linkedin author_title param. Omit to include all employees.
  - sort_by (optional): most_recent (default — override if you like)
      Optional. How to rank captured posts. Maps to the search_linkedin sort_by enum (most_recent or relevance). Defaults to most_recent.

STEPS:
  1. Tool `search_linkedin_companies` — search_linkedin_companies(query={company})
     Resolve the brand to its numeric company_id and LinkedIn company url.
  2. Tool `search_linkedin` — search_linkedin(from_company=<company_id>, query={topic}, sort_by=most_recent, get_sentiment=true)
     Capture the official brand-page posts as the engagement and sentiment baseline. {topic} and most_recent are optional — omit {topic} to read all posts; sort_by defaults to most_recent.
  3. Tool `search_linkedin` — search_linkedin(author_company=<company_id>, author_title={focus_title}, query={topic}, sort_by=most_recent, get_sentiment=true)
     Capture posts written by employees of that company and their sentiment, noting the most influential voices. Optional {focus_title} narrows to a seniority or role (e.g. VP, Engineer) to see which ranks amplify; omit it to include all employees.
  4. Tool `search_linkedin` — search_linkedin(mentions_company=<company_id>, query={topic}, sort_by=most_recent, get_sentiment=true)
     Capture the wider 'earned voice' — posts that mention the brand from people who are neither the page nor its employees; net out the page and employee posts to isolate genuine third-party advocacy.
  5. Tool `linkedin_company_details` — linkedin_company_details(url=<company_url>)
     Pull employee count to normalize employee-post volume, then compute the advocacy amplification ratio of employee reach versus official reach (and versus earned third-party reach).

DELIVER: An advocacy report comparing three voices — official brand-page posts, employee posts, and earned third-party mentions — by volume, sentiment, and engagement, normalized by headcount into an amplification ratio, with your top employee voices and an optional breakdown by seniority or campaign topic.

Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.