129 karma · joined October 27, 2023
* performance/SSR * interlinking/dead links * keyword cannibalization
to name a few
If you need a dataset to benchmark against, download any articles from pre 2017. There are a few ready-made datasets floating around the Internet.
I am sure that these algorithms have evolved, but given my past experiments, I sincerely doubt that we are at a point that (a) cannot be easily bypassed if you are targeting them, (b) do not create a lot of false-positives.
As stated in another comment, I personally "gave up" on trying to bypass AI detection [it often negatively impacts output quality], at least for my use case, and focus on creating highest-possible value content.
I know that services like Surfer SEO are continuing to actively invest in bypassing all detectors. But... as a human, I do not enjoy their content and that what matters the most.
As an example, one method that I found that works extremely well is to simply rewrite the article section by section with instructions that require to mimic the writing style of an arbitrary block of human written text.
This works a lot better than (as an example) asking to write in a specific style. Like, if I just say something along the lines of "write in a casual style that conveys lightheartedness towards the topic" is not going to work as good as simply saying "rewrite mimicking the style in which the following text block is written X" (where X is an example of a block of human written text).
There are some silly things that will (a) trigger human written text to be detected as a AI and (b) that allow to avoid AI detection, e.g. using broad dictionary tends to trigger AI bots to detect the text as written by AI. So if you are using Grammarly to "improve your writing", then don't be surprised if it gets flagged. The inverse is true too. If you some statistical analyzes to replace less common expressions with more common expressions, AI-text is less likely to be detected as AI.
If someone is interested, I can talk a lot more about hundreds of experiments I've done by now.
Meanwhile, the comments have been a valuable source of feedback that highlighted several flaws in the product.
For what it is worth, it is entirely AI generated.
I like that you've highlighted the summary as a weak point. It is what I am focusing at the moment.
Read/glance through this article:
https://aimd.app/blog/2024-01-21-entity-seo-explained-boosti...
Was it written by human, AI, ... edited by human?
What makes you sway one way or another?
There is theory and there is practice. Keeping URLs tidy is a simple task for a small site, but as the application/blog grows in scope, it becomes almost an impossible/full-time job. Anyone who managed a platform with thousands of pages (I've had the luck to do that), will tell you that 404s are not avoidable. Feature flags, geofenching, and many more edge cases will inevitably lead to users experiencing 404s. This tactics is more mitigating the impact of those edge cases.
For what it is worth, I opted to showing 404 page and suggest the URL they were most likely looking for, e.g. https://aimd.app/blog/2023-12-27-programmatic-seo-what-is-it...
The entire article is edited after the initial draft is written out.
Good feedback. Didn't think that many people will look at this first paragraph is indicative of the final result. Will think how to reflect that in the UI.