SEO may look, at first glance, like a technical rulebook for online visibility. But the deeper you get into it, the more it reveals itself as a fluid system of signals, interpretation and uncertainty. And it is precisely within this tension that artificial intelligence is beginning to change not only how content is created, but also how it is found in the first place.
I am not an SEO expert. And I probably never will be.
Not because I have no interest in it, but because the subject quickly reaches a level of depth that is difficult for any individual website owner to fully grasp. I work on my own website, write content and try to become visible — and sooner or later, that inevitably brings you into contact with SEO. In the process, I have come to understand just how important it is. SEO determines whether content can be found at all or whether it remains practically invisible in the digital space. At the same time, I have also realised how complex this field really is. SEO is not a single tool, but an interplay of content, structure, language, user behaviour and constantly shifting rules.
And this is exactly where a particular kind of uncertainty begins — one that affects many people who publish content without actually being part of the SEO industry. In principle, you understand the basic terms: visibility, search engines, rankings. But the deeper you go, the more contradictory the picture becomes. Research often leads to multiple answers that all appear plausible. And now, with AI in the mix, that effect has only intensified. You are left with several seemingly correct explanations, but rarely with one clear answer. It becomes difficult to tell what genuinely works and what merely sounds convincing in theory.
How Google evaluates content (a simplified explanation)
SEO matters, but it is only one part of a much larger system. Google does not evaluate websites through a single factor, but through many signals at once. Yet these signals do not form a stable grid. They shift, reinforce one another or suddenly lose weight, often without it being entirely clear from the outside why that happens. Visibility does not emerge from one neat cause, but from an ongoing interaction of factors that constantly recalibrates itself.
1. Topical relevance
The most important question is simple: does the content actually match the search query? Google tries to distinguish between a page that genuinely answers a question and one that merely imitates the form of an answer without reaching its actual core.
2. Quality and trust (E-E-A-T)
This includes several layers of quality: experience with the topic, professional depth, perceived authority and, ultimately, the question of whether a page is able to create trust or not.
That includes:
- experience
- expertise
- authority
- trustworthiness
3. Website authority
Authority on the internet does not arise in isolation. It is built through relationships. How strongly a website is connected to other sources, how often it is referenced or mentioned elsewhere, creates an indirect picture of its relevance. Backlinks and mentions are therefore not just technical signals. They are traces of how a page is perceived, classified and valued within the digital space.
4. User behaviour (indirectly)
Is a page being clicked on?
Do people stay there?
Do they find the answer they were looking for?
These signals help Google assess quality indirectly.
Example: an electrician in a local region
If you look at a specific industry — electricians in a particular city, for example — the complexity becomes especially visible. In many cases, there are hundreds or even thousands of websites competing in that space. A large number of them are professionally built, technically clean and in some cases even optimised by agencies.
And yet only a small fraction of them will appear on the first page of Google.
That is not simply because the others are worse. It is because Google only makes a limited selection visible for each search query. Visibility does not arise from quality alone, but from a particular form of fit within a given context. In other words, Google is not trying to display every good page. It is trying to filter out those that seem most relevant in a particular moment. On top of that, established providers, large platforms and already well-connected websites enjoy structural advantages that influence how they are weighted from the outset.
Why rankings are never stable
SEO is not a one-time state.
Even good rankings are never permanently secure. Visibility remains in motion because the conditions under which it emerges are constantly changing. New competitors enter the field, new content is published and existing pages keep evolving. At the same time, search engines regularly adjust their evaluation logic, often without making those changes fully transparent. Add to that shifts in user behaviour and technical developments that alter the conditions under which content is crawled, interpreted and assessed in the first place.
Visibility is therefore not a fixed state, but a dynamic process that continuously reorganises itself.
Is SEO really controllable?
This is where the real conflict begins.
From the perspective of a website owner, SEO initially appears to be something that can be deliberately optimised — a system in which certain actions should lead to certain results. In practice, however, the picture looks different. There are many starting points, many levers and many established methods, but very little of it leads reliably to a clear, predictable outcome.
You can increase the likelihood of visibility. You can improve structures and align content more deliberately. But the concrete result always remains only partly controllable. SEO therefore exists in a tension between comprehensibility and uncertainty. It can be understood, but never fully mastered.
SEO still matters
Despite all this uncertainty, it would be wrong to dismiss SEO as unimportant. Without a basic SEO structure, many pieces of content would never become visible at all or would simply disappear within the system of search engines.
SEO therefore remains a foundation of digital visibility — but not a guarantee.
The shift caused by AI
And this is where another development enters the picture: artificial intelligence.
AI is changing not only how content is created, but also how it is found and processed. The classic search logic — keyword, results page, click — is increasingly being supplemented or partially replaced by systems that understand content directly and turn it into answers.
That also changes the role of the search engine as an intermediary layer between content and user.
Can AI replace SEO?
If SEO is this complex and partly ambiguous, the question naturally arises: could artificial intelligence one day replace this field altogether?
AI can already take over many operational SEO tasks. It analyses topics, structures content, optimises texts and suggests ways to improve visibility. Many of these tasks are based on patterns and data — and that is exactly where AI is strong. At the same time, it reaches its limits where SEO becomes more than optimisation: namely in strategic decisions shaped by market conditions, target audiences and real competition.
For smaller websites in particular, the issue is not only technical. It is also about priorities: which content actually makes sense, and which topics have any realistic chance of gaining visibility at all?
There is another problem. Search engines themselves are not stable systems. Google regularly changes its evaluation logic and reweights signals. SEO therefore remains a moving field rather than a fixed rulebook. AI can support many parts of that process, but it does not fully replace the responsibility for strategic decisions in an uncertain environment.
Personal perspective
For me, one point remains central. I understand the importance of SEO, but I cannot fully control it or master it in all its depth. And in that there seems to be something that is not an isolated case, but rather a shared experience among many people who publish content without being part of this specialised industry.
Final thought
Perhaps SEO is therefore less a closed discipline with clear rules than a shifting system somewhere between technology, content and interpretation. Something that cannot be fully fixed in place because the very conditions under which it works are constantly moving.
And this is where a second layer appears: artificial intelligence is not only accelerating this movement, it is also changing the way we think about it in the first place. Not as a clean replacement, but as another force inside a system that was never truly stable to begin with.
And so the question is no longer simply what SEO once was, but rather what kind of uncertainty it is now turning into.
Featured image created with Gemini – based on a prompt by me.
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