AI Content Engine Infrastructure to replace $200K/year Marketing Teams
The complete blueprint to build and sell an autonomous content intelligence system.
This is a full-stack AI Operating System that turns raw social feeds into viral-ready content playbooks. It scrapes top-performing posts across six platforms, runs sentiment analysis on every comment thread, and generates production-ready scripts your client’s team can publish immediately.
You can build this, package it, and sell it to businesses as a done-for-you system or as a SaaS product. This blueprint covers the full architecture: the application layer, the automation layer, who to sell it to, and what to charge.
Everything here is open source. The n8n workflow templates are free to download. The setup guides walk through every node.
If you want the pre-built application and the complete bundle, that is available through DealMaker.
How This System Is Structured
Every AI Operating System in the DealMaker library has two layers:
Layer 1: The Application. A frontend dashboard built with Lovable + Claude Code + Supabase. This is what your client’s marketing team logs into every day. It surfaces trending content, displays audience intelligence, and gives them a clean interface to act on insights.
Layer 2: The Automation. n8n workflows running behind the scenes. These handle data scraping across six social platforms, comment aggregation, AI-powered sentiment analysis, and automated playbook generation. Your client never sees this layer. They just see the results.
You sell both layers together as one system.
Layer 1: The Application
Engine Dashboard
This is a standalone web application your client’s content team uses daily. Built with Lovable, Claude Code, and Supabase. Pre-built and ready to deploy from the DealMaker Bundle, or you can build your own version using the same stack.
Built with:
What your client sees when their team logs in:
Audience Intelligence Feed. Every scraped post across TikTok, Instagram, YouTube, Twitter, LinkedIn, and Facebook in one view. Sorted by a weighted engagement score. Their team stops scrolling six platforms manually and starts seeing patterns instantly.
Sentiment Breakdown. Click any post to see AI-generated analysis: overall sentiment score, tool usefulness rating, common questions pulled from comments, and key audience insights.
Top Performer Rankings. Filtered views per platform showing only content that crossed engagement thresholds. The system surfaces what is actually working, not what looks popular.
Viral Playbook Library. Auto-generated content blueprints for every top-performing post. Each playbook includes a viral hook, polished video script, call-to-action, audience avatar, repurpose angles, and platform-specific captions.
Platform Analytics. Cross-channel comparison showing which platforms drive the most engagement for specific topics, hashtags, or content types.
How To Deliver This OS
You choose how to package and sell the app layer depending on your business model:
1. Internal system for a client. Deploy it inside their infrastructure. One-time setup fee. Their team uses it daily. You move on to the next client (or stay on retainer for support).
2. SaaS product. White-label the dashboard under your own brand. Add Stripe billing. Sell monthly subscriptions to multiple clients from one codebase.
3. Managed service. You host and maintain everything. Your client pays a monthly fee. You handle updates, monitoring, and optimization.
The pre-built application source code, database schema, and deployment instructions are included in the DealMaker Bundle.
Layer 2: The Automation
7 n8n Workflows Running 24/7
This is the engine your client never sees. Seven interconnected workflows that scrape six social platforms, analyze audience sentiment, and auto-generate viral content playbooks.
Workflow 1: TikTok Data Acquisition and Trend Insights
Trigger: Airtable webhook
Scrapes TikTok posts by hashtag and profile using Apify. Filters for posts with 200K+ views. Fetches top 15 comments per post. Runs sentiment analysis through GPT-4o. Stores everything in Airtable with full metadata: cover images, video URLs, transcripts from subtitle files, music data, engagement metrics, and hashtags.
Workflow 2: Instagram Data Acquisition and Trend Insights
Trigger: Airtable webhook
Runs two scrapers in parallel. One pulls posts by hashtag. The other pulls posts by profile. Results merge into a single feed. Filters for valid post and reel URLs using regex. Fetches top 15 comments per post. Runs sentiment analysis through GPT-4o. Writes enriched records to Airtable.
Workflow 3: YouTube Data Acquisition and Trend Insights
Trigger: Airtable webhook
Searches YouTube using keyword queries. Scrapes videos sorted by popularity with subtitle download enabled. Fetches top 15 comments per video. Runs two parallel AI processes: GPT-4o for comment sentiment, and GPT-4.1-mini for long transcript summarization with structured key takeaways. Stores full transcripts and content summaries in Airtable.
Workflow 4: Twitter Data Acquisition and Sentiment Insights
Trigger: Airtable webhook
Scrapes tweets by hashtag and profile handle sorted by top engagement. Fetches up to 15 replies per tweet. Runs sentiment analysis through GPT-4o with Twitter-specific prompting. Deduplicates against previous runs.
Workflow 5: LinkedIn Data Acquisition and Audience Intelligence
Trigger: Airtable webhook
The most complex workflow. Splits into two parallel branches: profiles/companies and hashtags. Both branches independently fetch comments, summarize by post, and run sentiment analysis through GPT-4o with LinkedIn-specific prompting. Deduplicates both branches separately.
Workflow 6: Facebook Data Acquisition and Audience Intelligence
Trigger: Airtable webhook
Same dual-branch architecture as LinkedIn. Profile branch scrapes page posts. Hashtag branch scrapes hashtag-based posts. Both branches fetch comments independently. Runs sentiment analysis with Facebook-specific prompting. Deduplicates both branches.
Workflow 7: Viral AI Playbook Generation
Trigger: Airtable webhook (Generate Viral Playbook checkbox)
Searches the Audience Intelligence table for posts scoring above 1000 on the Top Performer formula. Sends full metadata to GPT-4o which generates a structured HTML playbook. Creates a Google Doc in a designated Drive folder. Updates the Airtable record with a direct link.
Each playbook includes: viral hook, polished video script, call-to-action, audience avatar, repurpose angles, platform-specific captions, SEO intro, and pro tips.
What This System Replaces
Trend research. Nobody spending 2-3 hours per day scrolling six platforms. The system scrapes all of them automatically.
Comment analysis. GPT-4o extracts sentiment, questions, and insights from every thread.
Competitor monitoring. Add competitor profiles to the Inputs table. The system monitors them continuously.
Content brief creation. The Viral Playbook workflow generates complete briefs with hooks, scripts, captions, and audience targeting in minutes.
Cross-platform reporting. Everything lives in one Airtable base with filtered views per platform.
COST COMPARISON
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Manual (3-5 person content team)
Research + analysis + briefs
40-60 hours/month at $45/hour
= $1,800 - $2,700/month in labor
= Zero published content produced
Your System
Apify + OpenAI + n8n + Airtable
= $200 - $400/month infrastructure
= Full automation, 24/7
─────────────────────────────────────────That gap is your value proposition.
How The System Works End-to-End
Step 1: Configure inputs. Add target hashtags and competitor profiles to the Airtable Inputs table. Set the channel and quantity to scrape. Toggle Active.
Step 2: Scraping fires automatically. Check the Run Automation box. Apify scrapers pull posts with full metadata: engagement counts, captions, media URLs, hashtags, transcripts, and music data.
Step 3: Comments get analyzed. The system fetches top comments per post. GPT-4o runs sentiment analysis and extracts what the audience is asking, what they like, and what patterns keep showing up.
Step 4: Intelligence populates the dashboard. Everything lands in the Audience Intelligence table. The TrendScope dashboard surfaces it with engagement scoring, platform filters, and sentiment breakdowns.
Step 5: Playbooks get generated. Top-performing posts automatically trigger GPT-4o to generate a complete content blueprint. The playbook saves to Google Drive and links back to the Airtable record.
Who To Sell This To
Marketing agencies managing multiple brands. 5+ clients where each needs platform-specific content. The time savings compound when one system feeds intelligence for all their accounts.
E-commerce brands doing 7+ figures annually. Companies spending $10K+ per month on content creation who need data-driven decisions on what to produce next.
Media companies and publishers. Organizations producing 20+ pieces of content per week across multiple platforms.
Creator economy businesses. Personal brands with teams of 3+ people handling content.
Technical Stack
CORE INFRASTRUCTURE
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Tool Role
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n8n Workflow orchestration
Apify Data scraping (6 platforms)
GPT-4o Sentiment + playbook gen
GPT-4.1-mini Transcript summarization
Airtable Intelligence database
Google Drive Playbook storage
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APIFY ACTORS + PRICING
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Platform Actor Cost
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TikTok Posts clockworks/free-tiktok-scraper $4/1K results
TikTok Comments clockworks/tiktok-comments $1/1K results
IG Hashtags apify/instagram-hashtag Per result
IG Posts apify/instagram-post Per result
IG Comments apify/instagram-comment Per result
YT Videos streamers/youtube-scraper $5/1K results
YT Comments streamers/youtube-comments $2/1K results
Twitter Posts apidojo/twitter-scraper-lite $0.016/event
Twitter Replies scraper_one/x-post-replies $0.0029/item
LinkedIn Posts supreme_coder/linkedin-post $0.005/GB
LinkedIn Search apimaestro/linkedin-search $5/1K results
LinkedIn Comments apimaestro/linkedin-comments $5/1K results
FB Posts apify/facebook-posts $35/mo+usage
FB Hashtags scraping_solutions/fb-hashtag $20/mo+usage
FB Comments scraper_one/facebook-comments $0.0029/item
─────────────────────────────────────────Implementation
Input setup. Which hashtags, competitor profiles, and company pages to monitor per platform.
Engagement thresholds. Adjusting the Top Performer formula and minimum view counts. TikTok 200K+ works for large niches. Smaller niches might need 50K+.
Sentiment prompts. Tuning GPT-4o system prompts per platform to match your client’s industry.
Playbook templates. Customizing the HTML template in Workflow 7 to match your client’s brand voice.
Timeline: 1-3 weeks for most engagements.
What To Charge
Path 1: Sell as a SaaS Product
SAAS PRICING
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Starter $29/mo 1 platform, 5 inputs
Weekly scraping
Sentiment analysis
Pro $79/mo 3 platforms, 20 inputs
Daily scraping
Playbook generation
Agency $199/mo All 6 platforms
Unlimited inputs
Full playbook library
Team access + API
─────────────────────────────────────────Your costs: $200-400/month. Profitable at 8-10 Pro clients.
Path 2: Sell as a Done-for-You System
DONE-FOR-YOU PRICING
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Setup fee $5,000 - $12,000 (one-time)
Monthly retainer $1,500 - $3,000 (optional)
─────────────────────────────────────────Value anchor: $1,800-2,700/month in wasted labor. A $8,000 setup that saves $2,500/month pays for itself in under 4 months.
Start with done-for-you. Higher revenue per client and you learn faster. After 3-5 clients, launch the SaaS version.
This is one system in the DealMaker OS Library.
Automation templates are always free. The application layer and implementation support are in the Bundle.