It's no secret that ChatGPT has shook the world in recent months.
The quality of the content it generates is far beyond what we've expected to see.
But, you're probably as confused as I am...
I've been collecting SEO case studies from around the internet that use AI to combat this confusion.
Here are some insightful ones 👇
Note: Here's Google's guidance on using AI content.
1. How to write 1,000 articles via the GPT API
In this Twitter thread, Alton Lex dropped the *actual* code he used to automatically create AI content at-scale.
He goes on to share one of his case studies where he generated 3,000 articles.
It was caught in one of Google's latest algorithm updates but then it recovered dramatically again.
Tip: Alton used these steps to figure out how to recover from a Google update.
2. How we use AI to build a site to 45k visitors/mo
Jacky Chou (AKA Indexsy on Twitter) shows his process for building a niche site for 45k monthly visitors.
Here the process:
"1. Find 1000s of low competition high volume keywords via Ahrefs
2. Export and post them onto the site using an AI service
3. Use the free RankMath instant indexing API plugin and use an indexing service
4. If the post ranks, we then rewrite it with our in-house writers with Surfer. We would also target the same keywords on our money sites
I like this one because it uses AI to brute force the ranking, but human writers to futureproof that content. Smart.
PS. He then shared the AI tool he used to generate the content on his YouTube channel below.
3. 10,000 pages of AI content
"I tested 10k scraped content and AI content. Scraped content outperformed AI content. Both got panned."—Mark Williams-Cook
Mark took a brand new domain, created 10,000 pages and did 0 human editing to the content.
Here's the chart:
He notes that the first dip was the Helpful Content Update and the final plummet was October's Spam update.
Here's a little more on Mark's process (found in the comments—Mark, if you ever read this, that French comment was *chef's kiss*):
- He collected all of Google's People Also Asked data using Python
- He then used the GPT API to generate a response to each page
- He then used Wordpress's API to publish on the website
Note: this was an experiment with ZERO human intervention in the content. What would've happened with 30-minutes of human editing per article? Who knows.
4. From 0 to 660K in 12 months
My buddy Jake Ward shared his AI content case study on LinkedIn recently (January 2023).
- 5,000 pages
- Used aproprietary GPT-3 model
- Focused on glossaries, question frameworks, formulas, and differences (X vs Y term)
- Ran the model but kept tweaking it until the output was high enough quality
Note: When nobody shares the domain URL, we don't learn much because we can't review what they *actually* did. One person might have 10 hours of human intervention before placing AI content live, another might have placed it live instantly using OpenAI instead of ChatGPT 🤷 Strongly encourage you to test these techniques yourself.