AI Content for SEO - The How, When, and Why

Artificial Intelligence is beginning to take over in more ways than one. Apparently, now AI can write as well yet there are limitations to AIs writing capabilities. Technology that made this a possibility is GPT-3 - Generative Pre-trained Transformer 3. It's a neural network machine learning tool that uses pre-written content to generate text through AI, but it does have its limitations. One can use AI to write a few short-form paragraphs. That's the limit. GPT-3 implements a neural network which contains interconnected nodes that simulate a human brain and has an output layer that contains the final image or word. Neural networks are increasingly popular for AI, and they are a great way to generate content, be it images or words. Programs like Grammarly and Hemingway app use AI to assess text and recommend improvements in form, grammar and spelling. These have been around for over a decade now and there are constant improvements. Back to GPT-3. This technology can now edit text and change what's already written and also add to pre-written text. The text is at times nonsensical if too much of it is being applied but the applications are still far-reaching.

Limitations of AI

AI does have its limitations. Again, the text becomes nonsensical after many paragraphs are added by the AI algorithm. It can't provide human level expertise in writing, so some editing is necessary. Sometimes even apps like Hemingway might say you have too many hard to read sentences when in reality, the sentences are pretty user friendly. Another limitation is that it's only limited to the data you provide. It can't independently produce content if you felt like you wanted to test its capabilities. You're also risking Google to devalue your content if you implement AI. It lacks Google's acronym for success on SERPs, E-A-T-. Expertise, authoritativeness, and trustworthiness. Due to it being an artificial intelligence algorithm, the limits of the user's capability for success on search engines is diminished. Quality concerns and plagiarism are two other factors. Sometimes AI borrows material from the internet that's prewritten to add to your content. This risks plagiarism which is a red flag by Google's standards. Again, Google prioritizes human written, creative experts that are authorities in their field when ranking written content.