Data analytics becomes significantly more valuable when it moves beyond simply describing past performance.
This idea is at the centre of two intelligence systems I have been developing:
Ads AI / ML / LLM Intelligence
and
SEO / GEO / ML / LLM Intelligence
The systems focus on different areas of digital growth, but both are designed around the same principle:
Data → Analysis → Prediction → Intelligence → Decision → Action
My objective is to combine Python, Machine Learning, Large Language Models, analytics and business context to build systems that do more than display metrics.
They are designed to support better decisions.
Ads AI / ML / LLM Intelligence
The Ads Intelligence system focuses on advertising performance and budget decision support.
Traditional advertising platforms provide access to a large number of KPIs.
We can monitor:
- Revenue
- Spend
- ROAS
- CPA
- Conversions
- Campaign performance
However, knowing what happened does not automatically tell us what to do next.
That is where a deeper intelligence layer becomes valuable.
The platform is designed around areas including:
Performance Analytics
Understanding how campaigns and advertising performance are changing.
Machine Learning Forecasting
Using historical patterns to support future performance analysis.
Budget Scenario Simulation
Evaluating how alternative budget scenarios could affect results.
Risk & Opportunity Intelligence
Identifying areas that may require attention or present growth potential.
LLM-Powered Insights
Transforming analytical outputs into clearer executive-level interpretations.
Decision Support
Connecting performance data with possible next actions.
The purpose is to move from:
“What happened to performance?”
toward:
“Why did it happen, what could happen next and which scenario should we investigate?”
Live Demo
https://ads-ai-ml-llm-intelligence.streamlit.app/ana-panel?lang=tr
SEO / GEO / ML / LLM Intelligence
The second system focuses on search intelligence.
Search behaviour is evolving rapidly.
Traditional Search Engine Optimization remains essential, but the growth of generative search and Large Language Models is creating another visibility layer.
This is where Generative Engine Optimization — GEO becomes increasingly relevant.
My SEO/GEO Intelligence system is designed to connect traditional search performance with AI-assisted analysis.
The platform explores areas such as:
- Organic search performance
- Search visibility
- Keyword and query intelligence
- SEO opportunities
- Technical SEO
- Content intelligence
- Organic growth analysis
- GEO visibility
- AI-search opportunities
- Machine Learning-supported analysis
- LLM-powered recommendations
Instead of only asking:
“How many clicks did we receive?”
the system is designed around deeper questions:
Why is visibility changing?
Which topics and pages present opportunities?
Which issues should be prioritised?
Where could future organic growth come from?
How should SEO strategy evolve alongside AI-driven search?
Live Demo
https://seo-geo-ml-llm-intelligence.streamlit.app/ana-panel?lang=tr
From Analytics to Decision Intelligence
Both projects reflect a broader direction in my work.
For Ads Intelligence:
Ads & GA4 Data → Python → Machine Learning → LLM → Decision Intelligence
For SEO/GEO Intelligence:
SEO & Search Data → Python → Machine Learning → LLM → Search Intelligence
This architecture helps move analytics through several levels:
Data
↓
Analysis
↓
Patterns & Prediction
↓
AI Interpretation
↓
Decision Support
The goal is not to create AI for the sake of AI.
The goal is to identify where AI, Machine Learning and automation can make analytics more useful for real business decisions.
Building Beyond Dashboards
Dashboards remain an important part of analytics.
But I see them as an interface rather than the final product.
The real opportunity lies in building intelligence behind the dashboard.
Systems that can help answer:
What happened?
Why did it happen?
What may happen next?
Where are the opportunities?
What should we investigate next?
That is the direction I am continuing to explore across AI Agent Development, Machine Learning, Data Intelligence, Marketing Analytics, SEO/GEO Intelligence and Decision Intelligence.
Explore the Systems
🤖 Ads AI / ML / LLM Intelligence
https://ads-ai-ml-llm-intelligence.streamlit.app/ana-panel?lang=tr
🔎 SEO / GEO / ML / LLM Intelligence
https://seo-geo-ml-llm-intelligence.streamlit.app/ana-panel?lang=tr
🌐 Portfolio
https://ozlemtonbul.com
💻 GitHub
https://github.com/ozlemtonbul
Özlem Tonbul
AI & Data Intelligence | AI Agent Development | Machine Learning | Decision Intelligence | Growth Analytics