
Model Context Protocol (MCP) is the missing link between AI tools and real business data. Instead of building dozens of custom integrations, teams use MCP to connect AI systems to CRMs, databases, and APIs through a single standard. This guide explains how it works, why it matters, and how leaders can use MCP to speed…

The GEO Operating System is a new model for AI visibility. It aligns marketing, IT, and PR under one framework to make visibility measurable, repeatable, and scalable. This article explains how the GEO-OS connects infrastructure, intent, and interpretation to help leaders turn fragmented efforts into a unified visibility engine.

AI bias is no longer an academic concern. It shapes hiring, pricing, and sales decisions inside B2B companies today. Executives who ignore it risk reputational damage and lost revenue. This framework shows how to detect bias, evaluate its impact on growth, and design checks that keep AI-driven systems aligned with your strategy.

The Hidden Cost of AI at Work Artificial intelligence has become the co-pilot of modern business. From marketing teams using generative models to draft campaigns, to finance leaders automating forecasting, to operators relying on AI assistants to summarize complex data, adoption is accelerating at an unprecedented pace. At the same time, growing research on AI…

Many growth leaders waste time and budget chasing broad audiences instead of zeroing in on their highest-fit customers. A well-defined B2B Ideal Customer Profile (ICP) drives faster sales cycles, higher conversion rates, and better retention. This guide breaks down the steps to build a precise ICP, avoid common mistakes, and operationalize it across sales, marketing,…

Most companies aren’t running too few experiments — they’re running the wrong ones. In this strategic deep dive, you’ll learn the Growth Lab Approach: a proven framework for B2B and B2C growth experimentation that actually works. From ICE-R scoring to 70-20-10 test portfolios, this guide breaks down how to design smarter experiments, accelerate learning velocity,…

In this case study, I detail how I designed and executed an AI digital marketing strategy for MyEListing that cut cost per lead by 65% and lifted conversions to 3.8%. By combining predictive lead scoring, NLP keyword clustering, marketing automation, and AI-driven budget allocation, I built a scalable framework that turned fragmented ad spend into…