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I ran the same answer engine optimization (AEO) search audit on ScheinerInc.—the consultancy that I run for clients—across Claude, ChatGPT, Perplexity and Gemini. The findings revealed what AI captured accurately about ScheinerInc., what it missed about the larger problem, and

While we debate which large language model (LLM) to use and which prompts to try, we’re missing the more fundamental question: Why hasn’t artificial intelligence (AI) changed how we actually work? Adoption is high and usage is widespread, yet our

OpenAI’s recent announcements—ChatGPT app integrations, commerce infrastructure, and an identity layer—reveal a strategic consolidation play. With $375 billion invested in AI this year and over 91,000 companies competing in the AI market, most are building features, not products, and OpenAI

Historical parallels with ATMs and spreadsheets reveal AI’s true impact: not mass unemployment, but job transformation and new opportunities. AI-skilled professionals now earn up to 25% more than their peers. Success in today’s job market may very well depend on

Enterprise employees waste 21 full days per year on repetitive tasks, creating $50 billion in annual bottleneck costs. In this post, I break down Microsoft's artificial intelligence (AI) strategy to address this issue and reveal what I learned from building