Some believed that with the addition of AI, there would no longer be any use for SEO within any digital marketing strategy or broader business marketing strategy. This caused a panic in all sectors of the marketing industry – brands to rethink their investments in content; agencies to rebrand themselves; and marketers to begin to question whether or not their years’ worth of effort had been for nothing.
However, after taking a step back and looking at the big picture, it is clear to us that SEO was not gone; search demand did not suddenly dry up; and the change that took place is much different than what originally thought. Instead of all SEO disappearing, what did disappear was average quality, generic/unbranded content. Thus, it can be concluded that AI did not kill SEO, but actually demonstrated how many marketing strategies—including outdated custom marketing strategy approaches—were based on weak foundations.
The Panic Was Misplaced
The fear surrounding AI was not about the technology; it was about what the technology revealed. For a long time, search engine optimization had become very formulaic within many digital marketing strategy frameworks. Many businesses had followed a very predictable process: find some keywords, create some content around those keywords, create content consistently, and hope that the rankings follow.
While this approach had worked, it had not worked necessarily because it was a good approach or a scalable marketing strategy for growth. It had worked because the competition had not been sophisticated enough to compete with this approach. This was all upended by the arrival of AI. With the arrival of these technologies that could produce vast amounts of content in a matter of seconds, the barriers to entry were gone.
Now everybody was capable of creating content that was well-designed, well-organized, and well-informed. Of course, the problem was that everybody was now creating content that looked the same. Suddenly, the rules had changed.
Suddenly, it was no longer about who could create content; it was about who could create content that mattered within a strong AI SEO strategy.
What AI Changed—and What It Didn’t
AI has changed some elements of how content can be produced and consumed, however it has not changed what fundamentally defines search or digital marketing for business outcomes. Users continue to search with intent. They want relevant, useful and credible information. The fundamentals of SEO remain the same in that they are about connecting users to valuable content.
What has changed as a result of AI is the level of expectation we have on the quality of the content that is created and consumed. The advent of AI means that creating a piece of content is significantly easier than it ever has been, especially with modern SEO services. The ability for users to find content that looks trustworthy and compelling from the outset is extraordinarily high, so generic content is becoming even less effective than it once was. Once all of the content we’ve created and consumed reach a minimum quality threshold, only content that is of a higher level than that standard will be able to successfully differentiate itself.
So, AI has disrupted the complacency and the search behaviour, pushing businesses to rethink their business marketing strategy.
From Keywords to Context: A Prompt Engineer’s Perspective
To understand this shift in the context of SEO, it is important to understand the perspective of a prompt engineer and how it influences an AI SEO strategy. It is important to understand that AI does not work based on keywords. It works based on understanding the context and the relationship. The output of AI depends solely and entirely on how well the prompt is structured.
The same can be said for SEO.
A keyword like “best CRM tools” will result in the usual and obvious content that already exists in abundance. However, if the keyword is more specific and based more on context, like CRM for early-stage SaaS companies that have trouble with onboarding, then there is room for differentiation and a stronger custom marketing strategy.
This is where most strategies are lacking. If the content can be easily created with the help of an initial AI prompt, then it’s not unique. It doesn’t bring any kind of insight, perspective, or depth. And without those things, it’s not unique.
In order to achieve good SEO today, the same level of thought must go into the initial prompt as goes into a good prompt within a well-defined AI SEO strategy.
The Problem Has Always Been About Strategy
It is easy to believe that changes in results can be solely attributed to Artificial Intelligence. However, in many instances, the problems pre-date the AI phenomenon. Historically, SEO often viewed as a “production” problem, with the focus on publishing frequently, using many different keywords and producing high volume or low-cost content while neglecting to develop authority and provide value—something many marketing strategy services aim to correct today.
Because this approach produces such large amounts of content without significant differences between those individual pieces, when AI is introduced, creating content can now happen so quickly and cheaply that it has created a lack of substance for much of the content generated: organisations that have historically relied upon volume of content but without having any guiding strategy, have subsequently struggled to remain visible in digital search results and broader digital marketing for business efforts.
In effect, the organisations didn’t “lose” rankings simply because AI technology improved, but rather because their content was never robust enough in the beginning.
Why AI Rewards Depth Over Volume?
One of the most important changes wrought by AI is the growing focus on depth and value within any effective marketing strategy for growth. While it is simple to produce content in bulk quantities, it is equally simple for search engines to identify content that holds little or no value.
Content that shows an understanding of things, offers insights, and meets the needs of users is likely to do well. On the other hand, content that simply recycles existing knowledge without offering any additional value is having trouble making any progress.
This is where human expertise is brought in.
While AI can certainly be used to make content easier to read and understand, it is still impossible to replace human thought and originality. The best content is the content that uses AI to its full potential, combined with the understanding of a human strategist who uses the best SEO services.
Rethinking the SEO Playbook
The so-called “new” SEO playbook, as some call it, is actually a return to the basics, but with more discipline and a refined digital marketing strategy.
It is important to establish a solid foundation of intent-related strategies. Instead of focusing on keywords, focus on the solutions users seek. Create your content as a part of an overall system, where each piece of content tells a larger story that fits with your unique marketing strategy.
It is also a shift in how we think about creating our content. Rather than thinking of AI as a shortcut, we should think of it as a tool to improve the execution of our strategies. The real benefit of AI is not to create more content, but to create better, more relevant content within a defined AI SEO strategy.
Distribution is also critical, but publishing our content is only half the battle. We should think about how to distribute our content to the right users, whether through search, linking, or other channels—something often guided by expert marketing strategy services.
What Successful Brands Are Doing Differently?
While brands that are doing well in SEO are not necessarily generating more content compared to other brands, there are many that are doing exactly the opposite.
They are focusing on depth rather than breadth. Brands that are doing well are focusing on building a point of view. Brands that are doing well are focusing on making sure that all of their content has a purpose within a strong business marketing strategy.
Most importantly, brands that are doing well are focusing on making SEO an integral part of their marketing strategy. This is what is being done by brands such as eTraverse. Here, there is an emphasis on building authority and not focusing on rankings. By strategically leveraging the power of AI, they are helping brands create content that is making an impact.
Conclusion
In conclusion, search engine optimization (SEO) remains relevant but has evolved into something much more complex. As such, there is now less room for error when trying to optimize your website(s) and/or business(es) within any modern business marketing strategy.
While AI will continue to significantly influence the way we approach SEO, it has not destroyed how search engines function and operate; instead, it has improved how we manage and implement various aspects of our Optimized SEO efforts and broader marketing strategy services.
AI has helped to eliminate the effectiveness of weak strategies and has demonstrated that achieving success through SEO will only occur through more than just providing output.
The advantage now lies within those that are able to critically analyze their market, understand the wants/needs of their audience, and provide quality, relevant, valuable content to them through a strong custom marketing strategy.
For these reasons, AI has not completely eliminated search engine optimization; it has simply ensured that only the best strategies will remain viable.
