linkedin-employee-advocacy
openbooklet.com/s/linkedin-employee-advocacyopenbooklet.com/s/[email protected]GET /api/v1/skills/linkedin-employee-advocacyPlan, launch, and operate a LinkedIn employee advocacy program for a marketing team. Covers 14-day launch playbook, authentic-voice posting at scale, brand guideline governance with optional review, per-post time budgeting, team posting cadence benchmarks, and ROI measurement (team reach, engagement, pipeline impact). Triggers on "employee advocacy", "team posting program", "scale LinkedIn across marketing team", "brand amplification", "advocacy ROI", "get the team posting", "employee-generated content".
Produce a 7-day LinkedIn plan built around the 3-pillar discipline (Authority 40-50%, Personal Narrative 30-40%, Community 20-30%) used by Justin Welsh, Matt Gray, Jasmin Alic. Optionally adds a Product/Offer pillar at 10-15%.
Flags AI-pattern emoji usage in LinkedIn drafts before they ship. Built on Naïlé Titah / MagicPost frequency data (Feb 2026) showing lightbulb, rocket, sparkles, and recycling emojis appear 2-3x more often in AI-generated LinkedIn posts than in human-authored ones.
Paste a viral LinkedIn post URL. Get back: which hook formula it uses, the exact structure, why it worked, and a blank template mapped to your topic.
A bundle of 10 focused skills for LinkedIn content ops in 2026. Each skill is single-purpose, follows the draft â approval â publish pattern, and uses the [Publora API](https://publora.com) for posting.
Run any post draft through the 2026 heuristic checklist. Catches AI tells, timing/format issues, length violations, and structural weaknesses before publishing.
Turn something you already made into a post that reads like it was written for LinkedIn. Repurposing is not copy-paste. A tweet that flew on X will flop pasted into LinkedIn: too short, no whitespace, wrong rhythm, and a link in the body that tanks your reach.
The educational backbone for the humanizer package. Every rule in `linkedin-humanizer` came from somewhere â Wikipedia's "Signs of AI writing" taxonomy, OriginalityAI's heuristics, GPTZero's stylometry, or 2026 LinkedIn-specific patterns. Some are real forensics (a `[oaicite:0]` marker is undefend
The engagement compounding layer. Tracks which of the user's comments earned author replies, drafts timely follow-ups, and flags the 6-24 hour window where thread momentum is highest.
Draft a LinkedIn comment on someone else's post from its URL. Use when the user pastes a post URL and asks to comment, engage, or be first commenter. Produces 1-3 variants in the user's voice, picks a reaction, and schedules via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).
Monitor LinkedIn engagement on two surfaces. (1) Author replies to your comments (the highest-value inbound signal, with the 6-24h Kevin Payne window). (2) Likers and commenters on any post, grouped by ICP fit, seniority, company, peer / aspirational / prospect tier. Drafts timely follow-ups for warm threads and produces ICP-segmented engager reports for outbound. Powered by Apify (no LinkedIn login required). Keywords thread monitoring, author reply, inbound tracking, comment follow-up, engagement compound, likers analysis, post engagers, ICP segmentation, audience analytics, who engaged.
Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics". Not for tracking author replies to your comments (use linkedin-thread-monitor).
Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "review this draft", "audit before posting", "is this ready".
Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not for top-level comments (use linkedin-comment-drafter).
Track which of your LinkedIn comments earned author replies. Flags the 6-24h Kevin Payne window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).
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