Build Autonomous CMO AI Platform

@amitpandeyposin

Hi, I build Agentic AI systems and marketing automation stacks using multi-agent architectures (RAG + tool-using agents + human-in-loop workflows). I’ve worked on SEO automation, content pipelines, scraping + knowledge graphs, and API-driven CMS/social posting systems. For your “AI CMO”, I’d recommend a hybrid stack: Claude/GPT/Gemini APIs + Python orchestration (FastAPI) + vector DB (Pinecone/Weaviate) + workflow engine (LangGraph/AutoGen). Cursor/ClaudeCode is great for dev, but production needs a backend system, not only chat agents. I can help design V1→V2 roadmap, cost control ($50–150/mo APIs early stage), scraping pipeline for 3,500+ URLs, SEO + content automation, analytics loops (GA/GSC/socials), and scalable agent system with human approvals everywhere. Let’s build it step by step with a lean V1 first.

@Aerozef

Hello I understand your project and can build a scalable AI-powered CMO platform with smart automation, SEO-focused architecture, and seamless frontend/backend integration. With 6+ years of experience in React.js, PHP, JavaScript, APIs, and AI-driven workflows, I’ll deliver a future-ready solution aligned with your vision and operational goals. Let’s connect and build something groundbreaking together!

@kishanbwts

This is a complex system but can be done step-by-step to stay within your Rs 1L budget and deliver value fast. From experience building AI-driven marketing tools, I suggest starting with a lightweight MVP: a master agent coordinating subagents for SEO audits, content scraping, and planning using Claude or Cursor APIs. Custom app backend will help orchestration and integrate GA, GSC, socials. For scraping 3500 URLs plus ongoing changes, Python scripts with RPA can handle updates efficiently. Do you want all 5 social platforms’ posting fully automated from version 1, or should we plan human-in-loop for some channels initially? Also, for content publishing, can your MCP developer help expose APIs or webhooks we can trigger? Using open-source tools like OpenClaw can cut costs, combined with paid APIs for heavier AI tasks—estimated monthly API spend should stay under $100 with smart batching and caching. I’ll map out clear version 1 and 2 roadmaps, choose stack accordingly, and handle tracking plus continuous learning with human feedback loops. Ready to draft a detailed plan and start building this system focused on your key priorities.

@iimtpradeepdash

Hi! The mix of content scraping, automated content planning, human-in-loop edits, and having one "master agent" coordinate it all is what makes your CMO AI idea interesting. The biggest risk is keeping all these workflows seamless while your devs, writers, and AI all pull updates at the same time. I've built agent-driven AI platforms with a similar structure — for example, running automated content, moderation, and workflow routing for PackSmart AI (logistics ops, with constant improvement from user feedback and integrated third-party APIs). For your setup, I'd map clear handoffs between AI agents, humans, and APIs (like Claude, Gemini, or even your CMS/dev tools). There are spots — like RPA tasks and social media scraping — where a small Python service can fill gaps, while main workflows live in a web app. Version 1 should nail scraping, planning, content draft + human approval. Version 2 tracks what works and does more fine-tuning. One thing to clarify: do you already have access or agreements for the APIs you want (Claude, Gemini, Cursor), or are you looking for help with procurement and setup? This changes the integration plan. Happy to sketch a 1-page outline on how I'd thread agents and APIs, for free, so you see the real flow. You can also see samples of automation and agent-driven work at work.techindika.com. — Pradeep

@albertc1996

As a Senior Python Developer with over 8 years of experience in system architecture and Linux-based scripting, I can implement this project precisely as required. The goal is to rewrite **FvwmTabs** as a native **FVWM module** that loads via the `Module` command and behaves identically to the current script. I will analyze the existing logic and refactor it to align with FVWM’s module interface, ensuring no external configuration file is needed. The resulting code will be packaged as a Python-based FVWM module, fully handling event interactions, tab management, and window cycling as before. Deliverables will include the complete source code and a concise README explaining the build and load process. My background in plugin development, graphical extensions, and IPC integration within Unix environments ensures a **clean, stable, and maintainable** implementation.

@UzeeTech

As an experienced Full-Stack Developer, I have spent the last seven years building robust web applications, mobile apps, and AI-powered solutions like your project entails. With a detailed understanding of your requirements and a strong background in AI model development, I am confident in developing an autonomous CMO platform that exceeds your expectations. My expertise spans across multiple technologies and I can deploy the most suitable stack for your project, optimizing performance without compromising on quality. Whether that's using existing open-source tools or creating a custom app, I will help you make informed decisions about the technology choices and build each version of your platform with a clear roadmap in mind. Cost-effectiveness is vital for you, which is why I focus on scalable solutions that leverage automation to save time and costs where possible. My proficiency in Python will be particularly valuable as I can create RPA scripting to handle tasks where AI or MCP may not be viable. My excellent communication skills mean that you'll receive daily updates, realistic timelines, and zero ghosting throughout our collaboration. I'm also used to delivering on time; 98% of my projects ship on or before the deadline. With me on board, you'll have peace of mind knowing that you're working with a seasoned expert who prioritizes transparency and ensures your project's success at every step of the way.

@johibkhan

Hi, With an accomplished background spanning over 15 years in software development and experience at renowned firms like Avaya and Pramati, I bring to the table an in-depth skill set crucial for developing a sophisticated, end-to-end AI platform like your envisioned CMO assistant. My forte lies not only in AI/ML but also in problem-solving, algorithms, and building high-performance systems – all of which are key for undertaking a project of this magnitude. One aspect that really sets me apart is my extensive experience with autonomous systems including trading and fintech platforms. These involve handling large volumes of complex, real-time data, precisely what your CMO AI Platform would be required to do consistently. Not only have I worked on similar tools before but I’ve also been involved in creating event-driven systems capable of making data-based judgments over time -- a skill that aligns with your goal of continuously upgrading the AI's capabilities.

@hr157

Hi, Yes — a system like this can absolutely be built, but the key is building it as a modular “Agentic Marketing OS” instead of trying to force everything into a single monolithic AI workflow. Your vision is essentially: - AI CMO - Autonomous SEO strategist - Content operations engine - Competitive intelligence system - Publishing & social automation platform - Human-in-loop learning layer - Multi-agent orchestration system Recommended Architecture (V1) Core Stack - Python backend (FastAPI) - PostgreSQL + pgvector - LangGraph / CrewAI / custom orchestration - Claude + Gemini + OpenAI mix - Redis queues - Dockerized deployment - MCP integrations where possible - Playwright/Scrapy for scraping Agent Layers 1. SEO Agent - audits - schema checks - GSC analysis - internal linking - content gaps 2. Competitor Intelligence Agent - scrape 3500 URLs - monitor updates - social listening - trend extraction - change detection 3. Content Strategy Agent - content clustering - topical authority mapping - content calendar - GEO/AEO optimization 4. Content Production Agent - articles - shorts scripts - social posts - landing page copy - metadata generation 5. Publishing Agent - WordPress/Webflow/Shopify APIs - scheduling - drafts - approvals - MCP execution 6. Analytics Feedback Agent - GA/GSC/social metrics - performance loops - AI learns from human feedback - strategy refinement Likely total ops: ₹15k–₹50k/month depending on scale. Thanks

@photop2

✅✅ It’s My Best Pleasure to SUPPORT You ✅✅ ₹70,000 INR (fixed) | ⏱ 3 weeks for Agentic CMO MVP, scraping/RAG, content automation, analytics tracking & human-in-loop workflows Portfolio: https://www.freelancer.com/u/photop2 With strong experience in Python automation, agentic AI workflows, web scraping, RAG systems, SEO automation, content pipelines, API/MCP integrations, and AI-assisted marketing operations, I can help you design and build a practical version 1 of your end-to-end AI CMO system. Scraping, RAG & Knowledge Graph • Scrape the initial 3500 competitor URLs, clean the data, remove noise, and build a searchable RAG/knowledge base • Track updated competitor pages, new content, SEO changes, social activity, and market questions on a scheduled basis • Use the knowledge base to support content planning, page recommendations, FAQs, landing copy, and campaign ideas Deployment & Operations • Build local and production-ready Python workflows with clear logs, retry handling, human comments, and continuous improvement loops • Provide recommendations for monthly operating cost, including API usage, hosting, scraping, storage, and automation tools • Deliver documentation, setup instructions, and a version 1 to version 2 roadmap for scaling the system safely Pier M

@pheonixsolutions

Hi, We can help build this at Pheonixsolutions, but I’d suggest doing it in phases instead of trying to automate everything at once. What you need is an AI marketing operating system, not just a chatbot. It should handle scraping, SEO audits, content planning, RAG/knowledge base, content generation, CMS drafts, social automation, analytics tracking and human approval. For V1, we’d focus on: competitor scraping and change tracking SEO audit and content gap analysis RAG from your website, competitors and brand data content planner generation AI-assisted articles and social posts human approval before publishing CMS draft creation via API/MCP GA/GSC tracking For V2, we can add deeper multi-agent workflows, social posting automation, task creation, video script workflows and performance-based learning. Suggested stack: Python, FastAPI, LangChain/LangGraph or CrewAI, vector database, OpenAI/Claude/Gemini APIs, scheduled scrapers and a small dashboard. Claude Code/Cursor can help build faster, but the final system should be a custom backend with APIs and automation jobs. Monthly running cost may start around $50–100, but with your content volume and 3500 URLs, it could increase based on model usage and scraping frequency. 1L INR is workable for a focused V1. Full system plus 6 months support needs tight scope. Thanks Pheonixsolutions

@yasinu8

Greetings I can surely help you for Build Autonomous CMO AI Platform I am in the IT industry since more than a decade and serve so many clients in building and rebuilding websites, software, and applications I have strong hands-on different cms like webflow, Wordpress, shopify, squarespace, wix and on different programming languages like PHP, Laravel, React, Node.js, HTML, CSS, And I did the migration from HTML to click funnels. I have made so many websites (E-commerce, WordPress, Classified admin, WooCommerce, etc.), bots, softwares, and Mobile applications (Android, IOS, and Huawei Play store) in my entire career. I have strong hands on both the front end and back end. Currently, I am part of the team who are dealing with miscellaneous tasks in dubizzle and Mzad Qatar including design and layouts and they both have more than 1 million users. I believe that you are looking for a web designer and for sure you will get your end desire result with plagiarism-free work and with better quality as I am assuring you this. Package deals can also be done for long-term collaboration as per the client's requirement. Kindly do come on chat so that we can discuss project details further more.

@tamannarajput18

As a seasoned Full Stack Developer with an emphasis on MERN and MEAN stack, building an autonomous CMO AI platform like the one you described would be right up my alley. I have a proven track record of developing scalable, high-performance applications from the ground up, ensuring clean architecture, strong security, and optimized performance for production-ready systems. In addition to web development, I bring to the table proficiency in workflow automation using n8n- which will come in handy for managing tasks within your system effectively. Moreover, my knowledge and experience in integrating AI-powered solutions can help create a 360-degree automation platform for your marketing needs. Your vision of having an AI-driven system in place that improves continuously by learning from human input resonates with my inclination towards data-driven innovation. I am well versed with making operations run smoothly within an API ecosystem while also keeping cost efficiencies intact. My recent work using workflow automation tools like n8n has gained valuable insight into handling tasks at scale efficiently.

@jagratip3

Dear Hiring Manager, Yes — a system like this can absolutely be built, but the correct approach is not “one giant AI chatbot.” The right architecture is a modular Agentic AI ecosystem with a master orchestrator coordinating multiple specialized agents, MCP/API tools, RAG pipelines, automations, and human-in-loop approvals. Core agents: • SEO Agent (audits, fixes, GSC/GA analysis) • Content Planner Agent • Competitor Scraping + Knowledge Graph Agent • Social Media Agent • CMS Publishing Agent • UI/UX Landing Page Agent • Analytics + Improvement Agent • RPA Python Workers for unsupported tasks V1 Focus: • SEO + competitor intelligence • Content planning • 30–40 articles/month • Social post automation • Human approvals • CMS publishing • Analytics learning loop V2: • Autonomous refinement • Multi-agent collaboration • AI-generated shorts/videos • Advanced CRO/UI generation • Predictive SEO/content scoring Clarification points: • Which CMS/platforms are involved? • Preferred social platforms? • Existing GA/GSC access available? • Do you want fully self-hosted or hybrid SaaS? • Priority: SEO growth, content scale, or lead generation first? Your 60k budget is feasible for a strong V1 if we prioritize architecture correctly and reuse open-source components strategically. Thanks

@usamaansari786

Hi there, I can help you architect and build a practical V1 of an Agentic AI CMO system that handles SEO, content planning, RAG/knowledge graph creation, competitor tracking, social automation, analytics monitoring, and human-in-loop workflows in a scalable and cost-conscious way. I have worked on AI automation systems involving LLM orchestration, RAG pipelines, scraping systems, workflow automation, CMS integrations, and multi-agent AI architectures where scalability, reliability, and operational efficiency were critical. My recommendation would NOT be a fully custom “everything from scratch” AI system initially. Your best V1 would be: • Multi-agent orchestration layer (LangGraph / CrewAI / OpenAI Agents SDK) • Claude/Gemini/OpenAI APIs combined strategically based on task type • RAG + vector DB (Qdrant/Weaviate/Postgres pgvector) • Python scraping + Playwright for competitor monitoring • n8n for automation orchestration + human approval workflows • WordPress/Webflow/Shopify CMS integrations via API/MCP • GA/GSC/social ingestion dashboards • Human commentary + feedback loops stored as training memory/context • AI-assisted SEO audits + content optimization pipelines • Automated drafts, not blind publishing initially Before we proceed, I have a quick question: what CMS and current marketing stack are you already using (WordPress, Webflow, Shopify, HubSpot, custom app, etc.) so I can propose the cleanest architecture path? Warm Regards Usama S

@vasylklymiu

Hi I can help you build this and I can start right away. I have 6 years experience in AI Development Python Automation and System Architecture so building agentic marketing systems with scraping RAG pipelines and SEO automation is well within my skill set. I will develop it using a Python based agent orchestration system with Claude API, optional Gemini integration, and a RAG knowledge graph so the CMO can continuously learn from competitors, analytics, and your content data. For V1 I will focus on a stable core for SEO, scraping 3500 URLs, content planning, and controlled publishing, then V2 will expand into multi agent optimization, social automation, and deeper performance based improvements, with estimated running costs around 60 to 200 USD monthly depending on scale. I am waiting for a reply.

@AplhaCharlie

Hello, I am a Mern Stack Developer who have 8.3 years of experience in web development field. From last one year i have working in startup company which build Voice Call AI agent, so i am better fit for your requirement. Lets Connect and discuss more and i will also show you my work for your trust and understanding.

@Anika1802

As someone who has developed numerous AI-powered systems and led several successful projects in automating marketing functions, I feel that I’m the perfect fit for building your autonomous CMO AI platform. In my 5+ years of professional work, I’ve accrued deep knowledge and impressive skills in areas such as web and mobile app development, SaaS platforms, AI Chatbots and Automation, API development and third-party integrations - all which directly relate to the tasks in your project description. To summarize my offer concisely: with Rs 1L INR budget we can explore options such as use of cursor or claude paid plans, custom app or even utilise the cursor API wherever necessary. And despite your scalability requirements(3500 urls initially), I assure you quality won’t suffer over quantity. At each stage of development, we’ll identify whether our current automation strategies can handle the load effectively or if they require tweaking/ new solutions. Dissatisfied until you’re fully satisfied. So yes! something of this sort can be built in claude or claudecode or cursor replaced where necessary. My extensive skills, experience, and commitment to your vision make me the top choice for this project. Let’s bring your autonomous CMO AI platform to life together!

@MuhammadAkif8

Iam available to start immediately. Hi, I can start immediately and help you build your Agentic AI CMO system for SEO, content, scraping, and marketing automation. I have experience with AI workflows, multi-agent systems, RAG setups, n8n automation, and API integrations (Claude/OpenAI/Gemini). I understand how to structure this into a scalable system with a central CMO agent, supporting sub-agents for SEO, content, social media, and analytics, with human-in-the-loop approvals. My approach would be to first build an MVP with: • Competitor scraping + knowledge base (RAG) • Content strategy + planning agent • SEO + blog + social content generation pipeline • n8n-based automation flows • Basic publishing + approval system Then we can scale into full analytics, optimization, and self-improving agents. I can also help you choose the most cost-efficient stack so API + infra stays within $50–$100/month range. Warm Regards, Akif H

@VinnieSoAA

⭐⭐⭐⭐ Nice to meet you ⭐⭐⭐⭐ As an AI automation engineer experienced in multi-agent workflows, RAG systems, SEO automation, and Claude/Gemini-powered content pipelines, I can help you architect and build a practical V1 “AI CMO” system that continuously researches, plans, generates, optimizes, and publishes content with human-in-the-loop approvals. $ Cost: ₹70,000 INR Recommended approach will be: Strategy & Architecture Planning → RAG / Knowledge Graph Setup → Competitor Scraping Pipelines → Multi-Agent Workflow Design → Content Planning Engine → AI Content Generation → CMS & Social Automation → Analytics Feedback Loop → Continuous Optimization I can also help decide whether the best route is: • Claude Code + orchestration layer • Cursor-assisted development environment • Fully custom app with Claude/Gemini backend APIs • Hybrid open-source agent stack Louis