AI:AI python GitHub repository for above

 

Below are high-quality AI + Python GitHub repositories you can actually use to build the SEO + SEM funnel for a web development company website (automation, lead scoring, content, ads, analytics).
I’ve grouped them by funnel stage, with direct use cases.

SEO Automation (Keywords, Content, Optimization)
Keyword Research & SEO Analysis
Pytrends (Google Trends API)
Repo: GeneralMills/pytrends
Use: Find rising web-development keywords by location
Funnel stage: TOFU
SEO Analyzer
Repo: leonardkim/seoanalyzer
Use: Technical SEO audits, on-page checks
AI Content Generation (Blogs & Service Pages)
LangChain
Repo: langchain-ai/langchain
Use: Generate SEO blogs, FAQs, landing page copy using LLMs
AutoGPT (Content workflows)
Repo: Significant-Gravitas/AutoGPT
Use: Automated blog creation + keyword insertion
SEM (Google Ads) Automation & Optimization
Google Ads API (Python)
Google Ads API Client
Repo: googleads/google-ads-python
Use:
Create campaigns
Add keywords
Adjust bids automatically
Funnel stage: TOFU + MOFU
Smart Bid & Budget Optimization (AI)
Facebook Prophet (time-series forecasting)
Repo: facebook/prophet
Use: Predict best days/times for ad spend & lead volume
Optuna
Repo: optuna/optuna
Use: Optimize bids, keywords, landing page variables
Lead Scoring & Conversion Optimization (MOFU → BOFU)
AI Lead Scoring
Scikit-Learn
Repo: scikit-learn/scikit-learn
Use:
Predict which leads will convert
Score form submissions
XGBoost
Repo: dmlc/xgboost
Use: High-accuracy lead scoring models
Chatbots & AI Assistants (Higher Conversion)
Rasa
Repo: RasaHQ/rasa
Use:
Website chatbot
Qualify leads before human contact
BotPress (Open Source)
Repo: botpress/botpress
Use: AI chatbot for consultation booking
Analytics, Tracking & Funnel Visualization
User Behavior Tracking
PostHog (Open Source Analytics)
Repo: PostHog/posthog
Use:
Funnel tracking
Conversion drop-offs
Plausible Analytics
Repo: plausible/analytics
Use: Privacy-friendly analytics
Heatmaps & UX AI
Microsoft Clarity (API usage)
Repo: microsoft/clarity
Use: Understand where users abandon the funnel
All-in-One AI Marketing Automation (Advanced)
Full AI Funnel System (DIY)
Haystack (Search + QA)
Repo: deepset-ai/haystack
Use:
AI knowledge base
SEO FAQ generation
Lead qualification
Example AI Funnel Workflow (Python)
Pytrends → Keyword Ideas
↓
LangChain → SEO Content
↓
Google Ads API → Campaign Launch
↓
PostHog → Funnel Tracking
↓
Scikit-Learn → Lead Scoring
↓
Rasa → AI Chatbot Follow-ups
Recommended Starter Stack (Fastest ROI)
If you want quick implementation:
Pytrends
LangChain
Google Ads API (Python)
PostHog
Scikit-Learn
Want a Ready-Made Repo?
I can:
Design a single GitHub repo structure
Write Python scripts for:
Keyword research
Blog generation
Google Ads automation
AI lead scoring
Create Docker setup for deployment
Tell me:
Solo developer or agency?
Local or global clients?
Budget-friendly or enterprise stack?