AI Marketing Operating System Development
Budget: ₹1,500 – ₹12,500 INR
Build an AI-Native Autonomous Digital Marketing Operating System Inside Claude Code (Reusable Across Any Business)
⸻
Project Overview
We are building something much larger than a digital marketing setup.
Our goal is to build a complete AI-powered Digital Marketing Operating System (Marketing OS) that lives entirely inside our Claude Code environment and integrates with our CRM.
This system should not be built only for our current CRM product.
It should become a reusable AI Marketing Engine that can market any future business simply by changing the business profile.
For example, tomorrow we should be able to onboard:
* SaaS company
* Fintech
* Healthcare
* Restaurant
* Real Estate
* Manufacturing
* D2C Brand
* E-commerce
* Consulting Company
and the system should automatically adapt its marketing strategy.
⸻
Important Requirement
This is NOT a project to manually create ads.
This is NOT a project to manually manage campaigns.
This is NOT a project to build a website.
This is NOT a project to run SEO manually.
Instead…
I want an AI system built inside Claude Code that performs the work autonomously.
The freelancer’s responsibility is to architect, build, integrate, document, and deploy the entire AI marketing system inside my existing Claude environment.
When the project is complete, I should own everything.
I should never have to depend on the freelancer again.
⸻
Existing Environment
Current stack includes:
* Claude Code
* Kenterra CRM
* GitHub repositories
* VPS deployment
* Production environment
* Existing website
* Existing CRM
* Existing sales pipeline
The AI Marketing System should integrate into this ecosystem.
⸻
Long-Term Vision
Eventually every customer who purchases our CRM should automatically receive this AI Marketing System.
The AI should become their digital marketing team.
⸻
High-Level Objective
The system should operate like a real digital marketing agency.
Except the entire agency is AI.
⸻
Business Onboarding Agent
The first thing the system should do is understand the business.
For any new customer it should ask:
* Company name
* Website
* Industry
* Products
* Services
* USP
* Brand positioning
* Target audience
* Customer personas
* Competitors
* Countries
* Languages
* Monthly marketing budget
* Current marketing channels
* Existing social media
* Existing analytics
* Brand colours
* Brand guidelines
* Tone of voice
* Business goals
* Revenue targets
* Lead targets
* Sales process
After onboarding, the AI should understand the business completely.
⸻
Autonomous Marketing Strategy
The AI should automatically generate
* Marketing strategy
* Brand positioning
* Messaging framework
* Customer personas
* Content pillars
* SEO strategy
* Paid Ads strategy
* Social Media strategy
* Email strategy
* WhatsApp strategy
* Video strategy
* Landing page strategy
* Lead generation strategy
* Conversion strategy
without human intervention.
⸻
AI Agents Required
The system should contain multiple specialized AI agents.
Examples include
Business Analyst Agent
Learns the business.
⸻
Marketing Strategist
Creates marketing plans.
⸻
Competitor Intelligence Agent
Studies competitors continuously.
Tracks
* Websites
* Ads
* SEO
* Keywords
* Pricing
* Messaging
* Landing pages
* Content
and recommends improvements.
⸻
SEO Agent
Creates
* keyword clusters
* blog strategy
* internal linking
* schema
* meta titles
* meta descriptions
Continuously improves rankings.
⸻
Content Agent
Produces
* blogs
* newsletters
* LinkedIn posts
* Twitter posts
* Facebook posts
* Instagram captions
* landing page copy
* sales copy
* case studies
* brochures
⸻
Video Agent
Creates
* Reels
* Shorts
* TikTok videos
* Product videos
* Demo videos
* Customer testimonial videos
using external AI video tools where appropriate.
⸻
Creative Agent
Creates
* banners
* carousels
* thumbnails
* ad creatives
* infographics
⸻
Paid Ads Agent
Creates campaigns for
* Google Ads
* Meta Ads
* LinkedIn Ads
including
* campaign structure
* audiences
* creatives
* copy
* budget allocation
* A/B testing
⸻
Landing Page Agent
Creates and optimizes landing pages.
⸻
Analytics Agent
Tracks
* CTR
* CPC
* CPA
* ROAS
* Conversion Rate
* Organic Traffic
* Ranking Improvements
* Lead Sources
Then recommends improvements.
⸻
Reporting Agent
Creates executive reports
Daily
Weekly
Monthly
Quarterly
⸻
Automation
The system should automatically perform scheduled tasks.
For example
Daily
* competitor monitoring
* SEO checks
* create social posts
* analyze campaigns
* suggest improvements
Weekly
* generate reports
* optimize campaigns
* identify new keywords
* content calendar updates
Monthly
* strategy review
* budget recommendations
* roadmap updates
⸻
CRM Integration
This is extremely important.
The AI Marketing System must integrate with our CRM.
Eventually
Marketing
↓
Lead Generated
↓
CRM Lead Created
↓
Lead Assigned
↓
Sales Tracking
↓
Conversion Tracking
↓
ROI Dashboard
All automatically.
⸻
Human Approval System
Some actions should require approval.
Examples
Publish Blog
Publish Video
Launch Campaign
Delete Campaign
Large Budget Changes
Everything else should be automated.
⸻
Knowledge Base
The system should maintain its own knowledge.
It should remember
Brand
Products
Competitors
Campaign history
Winning creatives
SEO rankings
Customer personas
Marketing assets
Prompt libraries
Previous experiments
Successful campaigns
Failed campaigns
Lessons learned
⸻
Future Scalability
The system should work for
1 client
10 clients
100 clients
1000 clients
with minimal architecture changes.
⸻
Technology
The freelancer may recommend the best tools.
Examples include
* Claude Code
* MCP servers
* GitHub
* n8n
* APIs
* Google Workspace
* Google Analytics
* Search Console
* Meta APIs
* Google Ads API
* LinkedIn API
* AI video platforms
* AI image generation platforms
* AI voice platforms
The freelancer should recommend the best stack.
⸻
Deliverables
The project is complete only when
* Everything exists inside my Claude environment
* Everything is documented
* Everything is version controlled
* Everything is committed to GitHub
* Everything is deployed
* Everything is tested
* QA completed
* Documentation completed
* No undocumented dependencies
* No proprietary local scripts
* No hidden configurations
* No vendor lock-in
⸻
Freelancer Requirements
I am looking only for someone who has actually built AI agent systems, not someone who only runs marketing campaigns.
Please apply only if you have experience with:
* Claude Code
* AI Agents
* MCP
* LLM workflows
* Autonomous systems
* AI orchestration
* API integrations
* Digital marketing automation
* SEO automation
* Paid Ads automation
* CRM integrations
Please share examples of similar systems you have built.
⸻
How I Will Select the Freelancer
Preference will be given to candidates who can demonstrate:
* Complex AI agent systems
* Claude Code experience
* Marketing automation platforms
* End-to-end AI workflows
* Clean architecture
* Documentation quality
* Long-term maintainability
⸻
Project Overview
We are building something much larger than a digital marketing setup.
Our goal is to build a complete AI-powered Digital Marketing Operating System (Marketing OS) that lives entirely inside our Claude Code environment and integrates with our CRM.
This system should not be built only for our current CRM product.
It should become a reusable AI Marketing Engine that can market any future business simply by changing the business profile.
For example, tomorrow we should be able to onboard:
* SaaS company
* Fintech
* Healthcare
* Restaurant
* Real Estate
* Manufacturing
* D2C Brand
* E-commerce
* Consulting Company
and the system should automatically adapt its marketing strategy.
⸻
Important Requirement
This is NOT a project to manually create ads.
This is NOT a project to manually manage campaigns.
This is NOT a project to build a website.
This is NOT a project to run SEO manually.
Instead…
I want an AI system built inside Claude Code that performs the work autonomously.
The freelancer’s responsibility is to architect, build, integrate, document, and deploy the entire AI marketing system inside my existing Claude environment.
When the project is complete, I should own everything.
I should never have to depend on the freelancer again.
⸻
Existing Environment
Current stack includes:
* Claude Code
* Kenterra CRM
* GitHub repositories
* VPS deployment
* Production environment
* Existing website
* Existing CRM
* Existing sales pipeline
The AI Marketing System should integrate into this ecosystem.
⸻
Long-Term Vision
Eventually every customer who purchases our CRM should automatically receive this AI Marketing System.
The AI should become their digital marketing team.
⸻
High-Level Objective
The system should operate like a real digital marketing agency.
Except the entire agency is AI.
⸻
Business Onboarding Agent
The first thing the system should do is understand the business.
For any new customer it should ask:
* Company name
* Website
* Industry
* Products
* Services
* USP
* Brand positioning
* Target audience
* Customer personas
* Competitors
* Countries
* Languages
* Monthly marketing budget
* Current marketing channels
* Existing social media
* Existing analytics
* Brand colours
* Brand guidelines
* Tone of voice
* Business goals
* Revenue targets
* Lead targets
* Sales process
After onboarding, the AI should understand the business completely.
⸻
Autonomous Marketing Strategy
The AI should automatically generate
* Marketing strategy
* Brand positioning
* Messaging framework
* Customer personas
* Content pillars
* SEO strategy
* Paid Ads strategy
* Social Media strategy
* Email strategy
* WhatsApp strategy
* Video strategy
* Landing page strategy
* Lead generation strategy
* Conversion strategy
without human intervention.
⸻
AI Agents Required
The system should contain multiple specialized AI agents.
Examples include
Business Analyst Agent
Learns the business.
⸻
Marketing Strategist
Creates marketing plans.
⸻
Competitor Intelligence Agent
Studies competitors continuously.
Tracks
* Websites
* Ads
* SEO
* Keywords
* Pricing
* Messaging
* Landing pages
* Content
and recommends improvements.
⸻
SEO Agent
Creates
* keyword clusters
* blog strategy
* internal linking
* schema
* meta titles
* meta descriptions
Continuously improves rankings.
⸻
Content Agent
Produces
* blogs
* newsletters
* LinkedIn posts
* Twitter posts
* Facebook posts
* Instagram captions
* landing page copy
* sales copy
* case studies
* brochures
⸻
Video Agent
Creates
* Reels
* Shorts
* TikTok videos
* Product videos
* Demo videos
* Customer testimonial videos
using external AI video tools where appropriate.
⸻
Creative Agent
Creates
* banners
* carousels
* thumbnails
* ad creatives
* infographics
⸻
Paid Ads Agent
Creates campaigns for
* Google Ads
* Meta Ads
* LinkedIn Ads
including
* campaign structure
* audiences
* creatives
* copy
* budget allocation
* A/B testing
⸻
Landing Page Agent
Creates and optimizes landing pages.
⸻
Analytics Agent
Tracks
* CTR
* CPC
* CPA
* ROAS
* Conversion Rate
* Organic Traffic
* Ranking Improvements
* Lead Sources
Then recommends improvements.
⸻
Reporting Agent
Creates executive reports
Daily
Weekly
Monthly
Quarterly
⸻
Automation
The system should automatically perform scheduled tasks.
For example
Daily
* competitor monitoring
* SEO checks
* create social posts
* analyze campaigns
* suggest improvements
Weekly
* generate reports
* optimize campaigns
* identify new keywords
* content calendar updates
Monthly
* strategy review
* budget recommendations
* roadmap updates
⸻
CRM Integration
This is extremely important.
The AI Marketing System must integrate with our CRM.
Eventually
Marketing
↓
Lead Generated
↓
CRM Lead Created
↓
Lead Assigned
↓
Sales Tracking
↓
Conversion Tracking
↓
ROI Dashboard
All automatically.
⸻
Human Approval System
Some actions should require approval.
Examples
Publish Blog
Publish Video
Launch Campaign
Delete Campaign
Large Budget Changes
Everything else should be automated.
⸻
Knowledge Base
The system should maintain its own knowledge.
It should remember
Brand
Products
Competitors
Campaign history
Winning creatives
SEO rankings
Customer personas
Marketing assets
Prompt libraries
Previous experiments
Successful campaigns
Failed campaigns
Lessons learned
⸻
Future Scalability
The system should work for
1 client
10 clients
100 clients
1000 clients
with minimal architecture changes.
⸻
Technology
The freelancer may recommend the best tools.
Examples include
* Claude Code
* MCP servers
* GitHub
* n8n
* APIs
* Google Workspace
* Google Analytics
* Search Console
* Meta APIs
* Google Ads API
* LinkedIn API
* AI video platforms
* AI image generation platforms
* AI voice platforms
The freelancer should recommend the best stack.
⸻
Deliverables
The project is complete only when
* Everything exists inside my Claude environment
* Everything is documented
* Everything is version controlled
* Everything is committed to GitHub
* Everything is deployed
* Everything is tested
* QA completed
* Documentation completed
* No undocumented dependencies
* No proprietary local scripts
* No hidden configurations
* No vendor lock-in
⸻
Freelancer Requirements
I am looking only for someone who has actually built AI agent systems, not someone who only runs marketing campaigns.
Please apply only if you have experience with:
* Claude Code
* AI Agents
* MCP
* LLM workflows
* Autonomous systems
* AI orchestration
* API integrations
* Digital marketing automation
* SEO automation
* Paid Ads automation
* CRM integrations
Please share examples of similar systems you have built.
⸻
How I Will Select the Freelancer
Preference will be given to candidates who can demonstrate:
* Complex AI agent systems
* Claude Code experience
* Marketing automation platforms
* End-to-end AI workflows
* Clean architecture
* Documentation quality
* Long-term maintainability