AI-Driven Marketing Suite Development
Budget: $5,000 – $10,000 USD
AI MARKETING BRAIN – FINAL PROJECT BRIEF
(AI-Driven Content Strategy, Video Editing, Multi-Platform Publishing, Local SEO, Performance Learning & Human Approval)
⸻
Project Overview
I am building a flagship AI Marketing Brain for a local service business (auto detailing & ceramic coatings).
This is not a content generator, scheduler, or template tool.
This system must think, plan, create, edit, schedule, and publish marketing content across multiple platforms, with human approval, while learning and improving based on performance, competitors, and local search behavior.
This is infrastructure-level software designed for long-term use and expansion.
⸻
Core Objective
Build an AI system that can:
• Decide what content to create
• Decide which platform it belongs on
• Decide when it should be posted
• Generate written content
• Automatically edit short-form videos
• Queue content in a Metricool-style calendar
• Require manual approval before scheduling or posting
• Publish across platforms
• Learn from performance, competitors, and local SEO signals
• Improve results over time without manual tuning
This is a decision engine with a human-in-the-loop control layer.
⸻
Platforms (Phase 1 – Required)
• Google Business Profile (top priority)
• Facebook Business Page
• Instagram (posts + reels)
• TikTok
• YouTube Shorts
⸻
Required UI & Workflow (Metricool-Style)
The system must include a calendar-based dashboard similar in concept to Metricool:
• Monthly / weekly content calendar
• Each content item displays:
• Platform
• Content type (photo, reel, TikTok, Short)
• Caption text
• Media preview (image or video)
• Scheduled date/time
• Status flow:
• Draft
• Needs Approval
• Approved
• Scheduled
• Posted
No content may schedule or publish without approval.
Approval actions:
• Approve & schedule
• Edit content prior to approval
• Reject & regenerate
⸻
Inputs the AI Must Understand
The system must ingest and reason over:
• Business profile (services, pricing logic, target customers)
• Service categories (interior, exterior, ceramic, paint correction, fleet)
• Local service areas (towns, counties, service radius)
• Seasonal context
• Promotions and campaigns
• Brand voice rules
• Raw video clips
• Before/after photos stored in Google Drive
⸻
Core System Capabilities
Content Strategy Engine
• Intelligent rotation of content types (education, proof, authority, offers, seasonal)
• Avoid repetitive messaging and spam patterns
• Balance:
• SEO-focused Google Business Profile posts
• Engagement-focused social content
• Decide whether content should be:
• Static post
• Reel
• TikTok
• YouTube Short
⸻
Short-Form Video Editing Engine (Critical)
The system must:
• Select relevant raw clips automatically
• Trim videos (7–45 seconds)
• Assemble clips into coherent sequences
• Add:
• Hook text (first 1–3 seconds)
• On-screen captions
• Simple transitions
• Branding (logo/colors)
• Output correct formats:
• 9:16 for TikTok, Instagram Reels, YouTube Shorts
• Generate platform-specific captions and hashtags
Automation is required. Manual override is acceptable.
⸻
Media & Asset Logic
• Pull correct before/after images from Google Drive
• Match angles properly for before/after posts
• Associate assets with correct service categories
• Prevent visually incorrect or misleading pairings
⸻
Flagship Intelligence Features (Required)
Performance-Aware AI Optimization
• Track performance per platform (views, clicks, profile actions)
• Store post-level performance history
• AI adapts future content based on:
• Hook performance
• CTA effectiveness
• Content type results
• Automatically adjust posting times, messaging angles, and offer frequency
⸻
Local SEO Intelligence Layer
• Ingest local SEO signals (GBP insights, local query data where available)
• Use town and city names intelligently (no keyword stuffing)
• Generate:
• SEO-focused GBP posts
• Location-specific content variants
• Detect stagnation and increase SEO-focused posting automatically
⸻
Offer & Campaign Engine
• Campaign objects (e.g., “Winter Protection”, “Salt Damage Repair”)
• Campaign rules:
• Start/end dates
• Platforms included
• Content mix ratios
• Auto-populate calendar with campaign-aware content
• Support overlapping campaigns without conflict
⸻
Competitor Monitoring & Response Logic
• Monitor competitor posting frequency and themes
• Detect:
• Promotion spikes
• Posting gaps
• Repetitive messaging
• Generate counter-content focused on:
• Authority
• Differentiation
• Trust positioning
No copycat behavior.
⸻
Smart Approval Shortcuts & Confidence Scoring
• AI assigns confidence scores to each content item
• Configurable rules:
• Auto-approve high-confidence content
• Require review for medium/low confidence
• Ability to whitelist:
• Content types
• Campaigns
• Platforms
⸻
Brand Voice Lock & Guardrails
• Enforce brand tone and language rules
• Define words to avoid and emphasize
• Validate all content before approval
• Flag or regenerate off-brand content automatically
⸻
AI Marketing Scoreboard (Executive View)
• Weekly and monthly summaries
• Visual trends for:
• Posting volume
• Engagement
• Platform performance
• Plain-English AI summary explaining:
• What worked
• What didn’t
• What will change next
⸻
Auto Publishing
• Direct posting to:
• Google Business Profile
• Facebook
• Instagram
• TikTok
• YouTube Shorts
• Respect platform-specific formatting rules
• Support scheduled and immediate posting (post-approval)
⸻
Data Ownership & Portability (Non-Negotiable)
• All data belongs to the client:
• Content
• Performance metrics
• Campaign logic
• Learning history
• System must support export (CSV/JSON) of:
• Content history
• Performance data
• Campaign records
• No proprietary lock-in without explicit approval
⸻
Fail-Safes & Human Override Controls
• Global “pause all posting” switch
• Platform-level enable/disable toggles
• Automatic fallback to manual approval if:
• Confidence scores drop
• API errors occur
• Platform rules change
System safety and reputation protection are mandatory.
⸻
MVP vs Flagship Scope Definition
MVP Must Include
• Calendar + approval workflow
• Google Business Profile posting
• One short-form video platform (TikTok or Instagram Reels)
• Basic video editing automation
• Basic performance tracking
Flagship Phases Expand Into
• Full multi-platform short-form video
• Competitor monitoring & response logic
• Performance-driven learning optimization
• Campaign intelligence & automation
⸻
Anti–Bullsh*t Requirement
Applicants must:
• Clearly explain where AI is used vs rules-based logic
• Avoid “AI-powered” claims without implementation detail
• Describe models, prompts, and learning loops used
• Avoid black-box systems with no transparency
Clarity is required.
⸻
Tech Preferences (Flexible)
• Frontend: Flutter / FlutterFlow or web dashboard
• Backend: Firebase / Supabase
• AI: OpenAI API or equivalent
• Video processing: FFmpeg or similar
• Integrations:
• Google Drive
• Google Business Profile API
• Meta APIs
• TikTok API
• YouTube Data API
⸻
Deliverables
• Fully functional AI Marketing Brain
• Metricool-style calendar with approval workflow
• Automated short-form video creation
• Multi-platform publishing
• Modular, documented, scalable codebase
⸻
Budget & Timeline
• Phase-based development required
• MVP first, expansion later
• Architecture and system thinking matter more than speed
(AI-Driven Content Strategy, Video Editing, Multi-Platform Publishing, Local SEO, Performance Learning & Human Approval)
⸻
Project Overview
I am building a flagship AI Marketing Brain for a local service business (auto detailing & ceramic coatings).
This is not a content generator, scheduler, or template tool.
This system must think, plan, create, edit, schedule, and publish marketing content across multiple platforms, with human approval, while learning and improving based on performance, competitors, and local search behavior.
This is infrastructure-level software designed for long-term use and expansion.
⸻
Core Objective
Build an AI system that can:
• Decide what content to create
• Decide which platform it belongs on
• Decide when it should be posted
• Generate written content
• Automatically edit short-form videos
• Queue content in a Metricool-style calendar
• Require manual approval before scheduling or posting
• Publish across platforms
• Learn from performance, competitors, and local SEO signals
• Improve results over time without manual tuning
This is a decision engine with a human-in-the-loop control layer.
⸻
Platforms (Phase 1 – Required)
• Google Business Profile (top priority)
• Facebook Business Page
• Instagram (posts + reels)
• TikTok
• YouTube Shorts
⸻
Required UI & Workflow (Metricool-Style)
The system must include a calendar-based dashboard similar in concept to Metricool:
• Monthly / weekly content calendar
• Each content item displays:
• Platform
• Content type (photo, reel, TikTok, Short)
• Caption text
• Media preview (image or video)
• Scheduled date/time
• Status flow:
• Draft
• Needs Approval
• Approved
• Scheduled
• Posted
No content may schedule or publish without approval.
Approval actions:
• Approve & schedule
• Edit content prior to approval
• Reject & regenerate
⸻
Inputs the AI Must Understand
The system must ingest and reason over:
• Business profile (services, pricing logic, target customers)
• Service categories (interior, exterior, ceramic, paint correction, fleet)
• Local service areas (towns, counties, service radius)
• Seasonal context
• Promotions and campaigns
• Brand voice rules
• Raw video clips
• Before/after photos stored in Google Drive
⸻
Core System Capabilities
Content Strategy Engine
• Intelligent rotation of content types (education, proof, authority, offers, seasonal)
• Avoid repetitive messaging and spam patterns
• Balance:
• SEO-focused Google Business Profile posts
• Engagement-focused social content
• Decide whether content should be:
• Static post
• Reel
• TikTok
• YouTube Short
⸻
Short-Form Video Editing Engine (Critical)
The system must:
• Select relevant raw clips automatically
• Trim videos (7–45 seconds)
• Assemble clips into coherent sequences
• Add:
• Hook text (first 1–3 seconds)
• On-screen captions
• Simple transitions
• Branding (logo/colors)
• Output correct formats:
• 9:16 for TikTok, Instagram Reels, YouTube Shorts
• Generate platform-specific captions and hashtags
Automation is required. Manual override is acceptable.
⸻
Media & Asset Logic
• Pull correct before/after images from Google Drive
• Match angles properly for before/after posts
• Associate assets with correct service categories
• Prevent visually incorrect or misleading pairings
⸻
Flagship Intelligence Features (Required)
Performance-Aware AI Optimization
• Track performance per platform (views, clicks, profile actions)
• Store post-level performance history
• AI adapts future content based on:
• Hook performance
• CTA effectiveness
• Content type results
• Automatically adjust posting times, messaging angles, and offer frequency
⸻
Local SEO Intelligence Layer
• Ingest local SEO signals (GBP insights, local query data where available)
• Use town and city names intelligently (no keyword stuffing)
• Generate:
• SEO-focused GBP posts
• Location-specific content variants
• Detect stagnation and increase SEO-focused posting automatically
⸻
Offer & Campaign Engine
• Campaign objects (e.g., “Winter Protection”, “Salt Damage Repair”)
• Campaign rules:
• Start/end dates
• Platforms included
• Content mix ratios
• Auto-populate calendar with campaign-aware content
• Support overlapping campaigns without conflict
⸻
Competitor Monitoring & Response Logic
• Monitor competitor posting frequency and themes
• Detect:
• Promotion spikes
• Posting gaps
• Repetitive messaging
• Generate counter-content focused on:
• Authority
• Differentiation
• Trust positioning
No copycat behavior.
⸻
Smart Approval Shortcuts & Confidence Scoring
• AI assigns confidence scores to each content item
• Configurable rules:
• Auto-approve high-confidence content
• Require review for medium/low confidence
• Ability to whitelist:
• Content types
• Campaigns
• Platforms
⸻
Brand Voice Lock & Guardrails
• Enforce brand tone and language rules
• Define words to avoid and emphasize
• Validate all content before approval
• Flag or regenerate off-brand content automatically
⸻
AI Marketing Scoreboard (Executive View)
• Weekly and monthly summaries
• Visual trends for:
• Posting volume
• Engagement
• Platform performance
• Plain-English AI summary explaining:
• What worked
• What didn’t
• What will change next
⸻
Auto Publishing
• Direct posting to:
• Google Business Profile
• TikTok
• YouTube Shorts
• Respect platform-specific formatting rules
• Support scheduled and immediate posting (post-approval)
⸻
Data Ownership & Portability (Non-Negotiable)
• All data belongs to the client:
• Content
• Performance metrics
• Campaign logic
• Learning history
• System must support export (CSV/JSON) of:
• Content history
• Performance data
• Campaign records
• No proprietary lock-in without explicit approval
⸻
Fail-Safes & Human Override Controls
• Global “pause all posting” switch
• Platform-level enable/disable toggles
• Automatic fallback to manual approval if:
• Confidence scores drop
• API errors occur
• Platform rules change
System safety and reputation protection are mandatory.
⸻
MVP vs Flagship Scope Definition
MVP Must Include
• Calendar + approval workflow
• Google Business Profile posting
• One short-form video platform (TikTok or Instagram Reels)
• Basic video editing automation
• Basic performance tracking
Flagship Phases Expand Into
• Full multi-platform short-form video
• Competitor monitoring & response logic
• Performance-driven learning optimization
• Campaign intelligence & automation
⸻
Anti–Bullsh*t Requirement
Applicants must:
• Clearly explain where AI is used vs rules-based logic
• Avoid “AI-powered” claims without implementation detail
• Describe models, prompts, and learning loops used
• Avoid black-box systems with no transparency
Clarity is required.
⸻
Tech Preferences (Flexible)
• Frontend: Flutter / FlutterFlow or web dashboard
• Backend: Firebase / Supabase
• AI: OpenAI API or equivalent
• Video processing: FFmpeg or similar
• Integrations:
• Google Drive
• Google Business Profile API
• Meta APIs
• TikTok API
• YouTube Data API
⸻
Deliverables
• Fully functional AI Marketing Brain
• Metricool-style calendar with approval workflow
• Automated short-form video creation
• Multi-platform publishing
• Modular, documented, scalable codebase
⸻
Budget & Timeline
• Phase-based development required
• MVP first, expansion later
• Architecture and system thinking matter more than speed