Imagine being able to instantly turn text into images for advertisements, or automatically write content for blog posts. With the advancement of technology, marketers are now able to revolutionize the content generation process using artificial intelligence and machine learning algorithms. So, how will these new forms of content affect search engine optimization?
In this article, Dave Davies (lead SEO of Weights & Biases) explores three powerful technologies that are taking marketing to the next level and their implications for the future of search engine optimization. First, he explains the benefits of Stable Diffusion, a text-to-image generator that marketers can use to easily create images for ads. Next, he talks about GPT-3 being used to write meaningful marketing copy. And finally, Dave goes into how Google will be using MUM to produce intelligent and helpful search engine results pages.
Dave also touches on the legal concerns regarding who owns the rights to AI-generated content, the need for marketers to assist AI in writing the content, and opportunities for marketers to present AI-generated content more strategically on search engines.
In the future, Dave predicts that marketers will still be needed to assist artificial intelligence in the content generation process. Text-to-image models will significantly help humans create content more efficiently, most writing might also be automated, and we might even see more AI-generated video content. But to optimize content for search engines, marketers need to know how to take advantage of the new technology while being aware of its impact on current and future algorithms.