Adiie9

25/10/2026

Tracking standard blue links isn’t enough anymore. To win in generative search, we need to measure GEO (Generative Engine Optimization) using Google Search Console's AI-related Search Appearance reports.

I put together a complete guide on how to track, analyze, and measure AI search performance:

• AI Appearance Reports: Isolate AI Overview impressions, clicks, and CTR in Search Console.

• Generative Query Taxonomies: Cluster intent patterns (how-to, comparisons, definitions) to see what triggers AI citations.

• The GEO Scorecard: Connect AI visibility to actual revenue and calculate GEO ROI using direct and assisted conversions.

• Traffic Drop Diagnostics: Isolate whether you lost impressions or CTR, and troubleshoot cannibalization vs. net exposure.

Read the full step-by-step framework here:

👉 https://www.adiie9.com/blog/analyzing-search-console-generative-ai-reports-measuring-geo-success

Use Google Search Console AI reports to track AI Overview traffic, analyze search generative experience, measure GEO ROI, and diagnose AI traffic drops.

14/10/2026

Sending sensitive data to third-party AI APIs isn't an option for every business. 🔒

You can run powerful open-source LLMs locally on your own hardware, keep 100% of your data on-device, and bypass API costs entirely.

In this guide, Adeel Ahmed covers how to set up Ollama and local open models for private content workflows:

• On-Device Setup: macOS, Windows, or Linux setup in under 5 minutes

• Model Benchmarks: Choosing between Llama 3, Mistral, Phi-3, and Qwen

• Local Workflows: Summarization, PII redaction, and local API integration

• Private RAG: Generating local embeddings with nomic-embed-text

Step-by-step setup guide and API commands:

👉 https://www.adiie9.com/blog/run-local-llms-for-content-ollama-setup-open-models

03/02/2026

The Real OG Web Developer 🕸️🕷️