Balancing AI and Human Input in SEO-Driven Content

Intro

There's no denying the importance of AI in the creation of modern AI-driven content. AI is flexible, it’s increasingly streamlined, and it allows us to save massively on time and money. It’s also a balancing act, thanks to consumer tastes and the ongoing potential threats of later AI. Finding the right form of application between human and AI generation is key, and missing the mark can seriously inhibit your reach and reputation.

With so much to consider, it's only natural that newcomers could find it challenging to break into the AI-driven content marketplace. So, what do you need to know before you begin, and what components need to be taken seriously and adapted to every step of the way?

Working With AI

When it comes to the mass production of content, humans can’t compete with the productivity and efficiency that AI offers. This makes it inevitable that anyone seeking content will consider AI as quickly providing cost-effective ways to fill out even entire websites. Such reliance can create problems with the long-term viability of this content, however, thanks to how SEO operates.

It's a known fact that completely AI-developed content doesn’t perform well over time. There are several reasons for this, the first being that the inherently unoriginal nature of AI-created articles will tend to get lost among hundreds or thousands of others. This issue is then exacerbated by AI at Google regularly checking for AI articles which it ranks as lower-quality than unique human pieces. When this happens, AI articles experience significant drop-off soon after creation, since they lack evergreen appeal. These AI detectors keep improving too, placing a shelf-life on what is even now the best AI content.

The second major problem with AI-driven content is its lack of fact-checking prowess. AI is often trained on outdated information from a huge range of user sources, and it cannot discern facts from reality like a human can. Sometimes it can misinterpret a joke or even imagine an incorrect fact by misunderstanding context, and this can destroy the result content.

The same applies to general articles, which can seem perfectly fine at a glance, but might not stand up to any degree of scrutiny. This is something we’ve experienced, where fixing AI-driven mistakes and false claims can take longer than it would to write an entire article from the beginning.

Balancing the Human Component

Regarding the longevity of hand-written content, human articles, even if not as grammatically precise as AI articles, don’t get picked up and de-ranked because of their flawed nature. In fact, being slightly flawed in a human can contribute to how memorable an article is, helping it stay in the public's eye. Over months or years, there’s a major difference to both Google and readers between articles written by hand and delivered by AI, where low quality inspires low confidence.

The balancing point here comes from being able to generate ideas with AI, and then having them filled out by people. This way you can be sure the writer doesn’t run out of ideas, while also being comfortable that their work will be far less likely to be picked up by Google’s AI detectors.

When looking at the strengths of human-driven fact-checking, consider this website created to compare top poker apps. The content on this page is written by hand because of how crucial 100% up-to-date and accurate information is to the reader. Whether listing how the deposit bonuses work or the different websites where they're available like 888poker and betsafe, everything is completely managed by humans. It takes extra work, but the work pays off in user retention and trust.

Again, a positive balance can be found here between allowing general content to be written by AI, where all facts and key information could be done by hand. This cuts down on the total manhours required, while still allowing the accurate production of content that proves the core value to your consumers.

Conclusion

The above challenges and solutions are already becoming more common in the AI content landscape, and they’re unable to disappear anytime soon. To get ahead and stay ahead, people in the AI content space need to understand how to tackle them and engage with these solutions as soon as possible. This might not guarantee success, but being proactive can help teach better practices, and you put yourself in a stronger position for the increasingly AI-led future.