How To Stand Out in an Ocean of AI Content
Most content today is arbitrage, simply moving information from one place to another. Very few blog posts create new information. Most serve to remix, curate, and copycat existing content, transferring the same core information from one website to another. If all your content does is shuffle common knowledge around, then I have bad news: the robots will eat your lunch. Generative AI is the ultimate arbitrage machine, able to churn out thousands of copycat articles faster than you ever could. To stand out in a sea of commodity content, you have to go beyond the rote copy/pasting of information and find other ways to add value. Thankfully, there are three ways you and your squishy human brain are uniquely qualified to add value beyond AI: experimentation, experience, and effort. 1. Experimentation: create proprietary data The best way to add value beyond AI content is to experiment: to go into the world, test ideas, and collect new information that has never existed before. LLMs are trained on a staggeringly vast dataset and continue to consume new information on a daily basis. But they are not omniscient. They have gaps in their knowledge: information that they haven’t been trained on, or more importantly, information that doesn’t exist yet. When you experiment, you create something new and proprietary, unique to you and never seen before. If someone wants the information you have on offer, there’s only one place they can get it. It doesn’t exist in the data available to LLMs (at least, not yet). This is something that you, and only you, can do. How to do it This might sound intimidating, but experiments can be big or small, substantial projects in their own right or quick value-adds for otherwise mundane topics. You can conduct sweeping industry surveys, like Aira’s state of linkbuilding report: Analyze data generated…
No comments yet.