AI-Powered B2B Company LinkedIn Content Production & Social Demand Generation Intelligence Engine prompt
You are a B2B social media demand generation strategist with deep expertise in LinkedIn algorithm mechanics, B2B buyer psychology, and pipeline attribution from organic social.
by AICMO·Apache-2.0 license·GitHub ↗
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prompt text · the author's own wordsYou are a B2B social media demand generation strategist with deep expertise in LinkedIn algorithm mechanics, B2B buyer psychology, and pipe… Here is my company context: - Company and product: [e.g., Keystride — AI-powered procurement intelligence for enterprise ops teams] - ICP: [e.g., VP of Procurement and Chief Operating Officers at manufacturing companies with $500M+ revenue] - Key business pain we solve: [e.g., manual RFQ processes that take 3-4 weeks and introduce 18% cost variance] - Company stage and size: [e.g., Series B, 120 employees, $14M ARR] - Current LinkedIn page followers: [e.g., 3,200] - Content goal: [e.g., 3 posts per week, grow to 8,000 followers in 6 months, generate 15 inbound demo requests per month from organic soci… - 3 topics we have genuine authority on: [e.g., procurement automation, supplier risk management, tail spend analytics] - Brand voice: [e.g., direct and data-driven, no buzzwords, respects buyer intelligence] Build me the following: 1. CONTENT PILLAR FRAMEWORK - 4 content pillars that map to ICP pain points and buying journey stages
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| 1 | You are a B2B social media demand generation strategist with deep expertise in LinkedIn algorithm mechanics, B2B buyer psychology, and pipeline attribution from organic social. |
| 2 | |
| 3 | Here is my company context: |
| 4 | - Company and product: [e.g., Keystride — AI-powered procurement intelligence for enterprise ops teams] |
| 5 | - ICP: [e.g., VP of Procurement and Chief Operating Officers at manufacturing companies with $500M+ revenue] |
| 6 | - Key business pain we solve: [e.g., manual RFQ processes that take 3-4 weeks and introduce 18% cost variance] |
| 7 | - Company stage and size: [e.g., Series B, 120 employees, $14M ARR] |
| 8 | - Current LinkedIn page followers: [e.g., 3,200] |
| 9 | - Content goal: [e.g., 3 posts per week, grow to 8,000 followers in 6 months, generate 15 inbound demo requests per month from organic social] |
| 10 | - 3 topics we have genuine authority on: [e.g., procurement automation, supplier risk management, tail spend analytics] |
| 11 | - Brand voice: [e.g., direct and data-driven, no buzzwords, respects buyer intelligence] |
| 12 | |
| 13 | Build me the following: |
| 14 | |
| 15 | 1. CONTENT PILLAR FRAMEWORK |
| 16 | - 4 content pillars that map to ICP pain points and buying journey stages |
| 17 | - For each pillar: audience intent, content objective (awareness / consideration / decision), and 3 specific post ideas |
| 18 | |
| 19 | 2. 8-WEEK CONTENT CALENDAR |
| 20 | - 3 posts per week (24 posts total) |
| 21 | - Mix of formats: text hook posts, data/stat posts, carousel concepts, poll questions, and customer story snippets |
| 22 | - Each post: headline, body copy (full, post-ready), format recommendation, optimal posting time, and engagement prompt |
| 23 | |
| 24 | 3. LINKEDIN ALGORITHM OPTIMIZATION RULES |
| 25 | - 5 specific tactics to maximize organic reach for our ICP (not generic advice — specific to B2B enterprise buyers) |
| 26 | - Hashtag strategy (which to use, which to avoid, optimal count) |
| 27 | - First-comment strategy to extend reach |
| 28 | |
| 29 | 4. EMPLOYEE ADVOCACY PLAYBOOK |
| 30 | - 5 highest-leverage employees to activate as amplifiers (by role, not by name) |
| 31 | - Templated reshare scripts for each role type — so they're not reposting word-for-word but adding their perspective |
| 32 | - Activation cadence: which posts to ask employees to amplify, how to ask, when to ask |
| 33 | |
| 34 | 5. PIPELINE ATTRIBUTION SETUP |
| 35 | - UTM structure for any links in posts |
| 36 | - How to track "dark social" inbound — prospects who found us on LinkedIn but didn't click a tracked link |
| 37 | - 3 leading indicators that LinkedIn content is driving pipeline (before demo requests appear) |
| 38 | |
| 39 | Produce all copy in full. No placeholders in the calendar — write actual posts. |
Discussion
Alternatives
STEP 0: STALE-CLONE SELF-CHECK — RUN BEFORE READING BELOWResearch what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.ApifyScrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter account operations like posting, threads, or bookmarks (those need a dedicated X API client), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).
run-wechat-article-loop — 公众号长文闭环微信公众号长文增长闭环 —— 从读者问题与复刻锚选题、写出可验证的公众号长文、预览与合规检查、同步微信草稿、三重确认下受控发布,到回收阅读与转化数据并复盘。用户要求写公众号、把内容改成公众号、同步或发布微信草稿、查看公众号数据或复盘时使用。
Twitter/X SkillSearch and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.
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