There is no one-size-fits-all answer to this question, as the use of artificial intelligence (AI) for content creation will vary depending on the specific needs and goals of each organization. However, AI can certainly be used for SEO purposes, as it can help to automate content generation and optimization processes.
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^That chunk of text there was created using OpenAI.
AI generated text looks pretty sophisticated but it all depends on the model and what it is trained on.
GPT-3’s pre-trained data-set includes crawl text from the web but for it to have potentially more impact you could look at using a pre-trained data set from only a specific vertical.
What I find it is tremendous at right now is for scaling, whether that be for getting ideas for content briefs or missing meta descriptions.
The key is to use text summarisation using Hugging Face transformers using python. In the example image (which was from my talk about NLP with Semrush last year) we scraped the text from a group of URLs and used BERT to summarise the text in a certain amount of characters.
The certain amount of characters was the optimal length for things like meta descriptions & intro text. It still needs a human to QA but it puts you in better place than starting from scratch.
If this is something you’re interested in here’s a few more resources to explore for SEO:
- Hamlet Batista – How to Produce Quality Titles & Meta Descriptions Automatically
- Lazarina Stoy – Automatically Generate Your Meta Descriptions Using Python And BERT
- Charly Wargnier – Generate FAQs for your pages automatically with What The FAQ!
Feel free to comment any other resources or ideas you have.
