A new approach for AI-powered and large-scale SEO projects

ChatGPT and other AI tools have fundamentally changed content creation for SEO purposes.

As an SEO agency, we now often provide our clients with hundreds of articles and blog posts created with the assistance of AI. In doing so, we are often asked by customers, “How are we going to process and review all of these items?” In traditional SEO, this question is absolutely understandable. For AI-powered large-scale content projects, however, you should look at things from a different perspective.

With thousands of pages, it’s not realistic to edit each one before publishing. SEO is a long-term strategy, however, and the benefits of getting content online quickly outweigh the costs of having unedited content in most cases. In addition, many companies cannot afford the enormous amount of time required to process large amounts of content.

That’s why we recommend ambitious clients publish content unedited and prioritize editing and optimization once pages start generating traffic.

This approach offers two key advantages:

By publishing content immediately, pages can be indexed and on their way to more traffic as quickly as possible.
Not all pages will rank well, so this approach saves time that would otherwise be spent working on less promising pages.
While there are pages that would rank better with proper editing, the benefits of a large-scale SEO strategy outweigh this minor drawback.

Some of our clients worry that unedited content that goes live on SEO pages could damage brand image. This concern is justified, but in practice the risk is much lower than assumed. The approach presented here is to rank pages and immediately prioritize them for human review and editing once they exceed a certain threshold, such as 100 sessions.

This approach reduces risk to a small number of sessions, while still providing the benefits of rapid content publishing and placement.

Thus, this innovative approach to the publishing process offers an efficient and low-risk solution for large-scale SEO projects.

Keeping track of the performance of hundreds or even thousands of pieces of content is, of course, no longer possible manually. With a standard analytics concept, it’s easy to lose sight of the big picture.

Here, it has proven useful to use Looker to create a corresponding dashboard to identify posts that are getting traction and should possibly be manually revised.