Plurio-Marketing-Growth-Playbook

Checks whether an author's LinkedIn Article(s) are cited by LLM engines (ChatGPT, Perplexity, Google AI Overview, Claude.ai web). Runs a list of ICP queries, records citations, and computes share-of-voice. Run 4+ weeks after publishing an Article.

Builds a Voice Vocabulary for an author — a dictionary of their characteristic phrases, turns of speech, fillers, metaphors, and contrarian formulas. Used as a humanization layer on top of the DIP. Collected ONLY from raw sources (transcripts, voice input, personally written Telegram posts), NEVER from the author's LinkedIn posts.

Checks a LinkedIn post for factual accuracy. Finds statements compiled from multiple sources and verifies logical integrity. Use after creating a post or whenever facts need to be verified.

Checks content for generic / abstract phrasing, AI language, and repetition from the author's previous posts. Supports two-pass mode — the first pass catches original issues, the second (--second-pass) verifies that the humanizer didn't introduce new generic phrases.

Transparently shows where each key idea in a LinkedIn post comes from. Builds a source map. Lets you exclude specific sources.

Writes a LinkedIn comment on SOMEONE ELSE's post on behalf of an author. Loads the author's DIP, analyzes the post, picks a formula, and checks source grounding. Use when you need to comment on another person's post.

Creates a LinkedIn Article (long-form Pulse, 1000-2000 words) optimized simultaneously for AI-search (GEO) and the LinkedIn algorithm. Use when long-form content is needed with the goal of LLM citations. 8-step pipeline with a mandatory GEO checklist.

Creates a Digital Identity Profile (DIP) for a new author from scratch. Collects raw sources (transcripts, voice, Telegram), extracts Tone of Voice, Stories Bank, Expertise Clusters. ONLY from raw sources, NEVER from posts.

Creates a LinkedIn post for a team author. Use when the user asks to write, create, or make a LinkedIn post, or says "turn this into a post", "write a post about...", "[Author] wants to write about...".

Final-pass AI detector. Finds AI patterns in the text (lexicon, sentence structure, formatting, rhythm) and proposes concrete edits. Works for any content — LinkedIn, articles, email, scripts. Doesn't touch the hook/title.

Finds LinkedIn target posts to comment on. Search strategies — by topic (author's expertise clusters), by ICP (potential customers), by networking (thought leaders in the niche). Helps plan the engagement routine.

Pipeline for optimizing an author's LinkedIn profile. Headline → About → Experience → Skills → Photo/Banner → Verifications. Every element is checked against 360Brew's Profile-Content Alignment. The result is run through /validate-content --type profile.

Golden window workflow — the first 90 minutes after publishing a LinkedIn post. Checklist of actions to maximize reach: replying to comments, engagement routine, sharing strategy. Critical for the algorithm.

Replies to comments under the author's OWN LinkedIn post. Batch mode: processes multiple comments at once with phrasing variety. Critical for the algorithm — replying within the first 30 minutes = +64% comments.

Scans the author's Telegram channel for content suitable for LinkedIn. Analyzes engagement (reactions, views), extracts topics, suggests repackaging. Telegram posts = valid raw source for the DIP and LinkedIn.

Recommends what to write next. Analyzes the author's Topic Backlog, cluster balance, trends, and the algorithm. Prioritizes topics from Inbox into Prioritized. Helps avoid sameness and ride a trend.

Updates an author's Digital Identity Profile with new data from transcripts. Use when a DIP needs to be refreshed after a new transcript, feedback, or a scheduled review. IMPORTANT: the DIP is built ONLY from transcripts and recorded speech, NEVER from posts.

Universal content validator. Orchestrates the check chain — check-facts → check-generic → check-sources → type-specific checks → detect-ai → check-generic (2nd pass). Works for posts, comments, profiles, PR pieces, and event promo.

Weekly refresh of the LinkedIn Content Machine. Algorithm refresh + content scan + performance review + trend update. Run once a week to keep the system current.