|
 Amazon this week has a pair of discounts on a few AirPods models, including the AirPods 4 and AirPods Max. You can get the AirPods 4 for $99.00, down from $129.00.
|
|
Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with WordPress?" The answer that appeared stopped me cold. My course showed up as the first result, recommended directly by the AI with specific reasons why it was valuable.
I hadn't paid for advertising. I hadn't done any special promotion. The AI simply decided my content was the best answer to that question and served it to the user. This wasn't luck or a fluke. When I tested the same query in Perplexity, the same thing happened. My website ranked at the top of AI-generated responses, pulling in free traffic directly from AI models that millions of people now use as their primary search tool.
This represents a fundamental shift in how people discover content online. For years, we've optimized for Google's algorithm, carefully crafting meta descriptions and building backlinks to climb traditional search rankings. That work still matters, but a massive new traffic source has emerged that most content creators are completely ignoring. While everyone focuses exclusively on traditional SEO, AI Optimization is quietly becoming one of the most valuable skills for anyone who publishes content online.
The opportunity is enormous right now precisely because it's so new. Early adopters are claiming top positions in AI responses while their competitors remain oblivious to this emerging channel. But this window won't stay open forever. As more people recognize the value of appearing in AI results, competition will increase and optimization will become more sophisticated. The time to understand and implement AIO strategies is now, while the landscape is still relatively uncrowded.
In this comprehensive guide, I'll show you exactly how AI Optimization works, how it differs from traditional SEO, what specific tactics ac
|
|
With prompt engineers among the workers most in demand in the wake of generative AI's arrival in the enterprise, it was inevitable that someone would investigate whether their role, too, could be automated, or at least facilitated, by AI.
And, indeed, a recent study focused on how to write the best prompts for a large-language model (LLM) AI to solve mathematical problems has found that another AI gets better results than a human. The study sought to determine whether human-generated "positive thinking" prompts—such as "this will be fun!" or "take a deep breath and think"—produce better responses. The results were mixed when using different LLMs.
To read this article in full, please click here
|
|
