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Understanding — Phase 02 of the SEOlogie Cycle

Phase 02 · 3 o'clock · by Ortwin Oberhauser · Last updated: June 2026

Understanding is the second phase of the SEOlogie cycle — the 3 o'clock position. Yet understanding alone is not enough: what counts is understanding correctly. Because you can also understand something wrongly — and misunderstanding is almost as dangerous as not looking at all.

Out of wrong understanding grows wrong action, and wrong action costs time, money and trust. In SEOlogie, understanding correctly means above all: reading data correctly and knowing what its labels really mean — because only then do you draw the right conclusions.

Whoever misunderstands acts wrongly — convinced, all the while, of doing the right thing.

Back to the Cycle of Visibility

The Perceiving page made one point: you can only recognize what you perceive. But perceiving alone protects you from nothing.

You can perceive everything correctly — see every signal, know every number — and still walk straight in the wrong direction. Namely when you understand what you've perceived wrongly.

And that's the dangerous part: misunderstanding is almost as dangerous as not looking at all. Whoever perceives nothing doesn't act. Whoever misunderstands acts wrongly — in the firm belief of doing the right thing. Out of wrong understanding grows wrong action, and that costs time, money and sometimes far more.

That's why in SEOlogie it isn't enough to "understand" just anything. Understanding can also be misunderstanding. What matters is understanding correctly.

Four in the morning: a young family, a baby with a 39.8-degree fever — the pressure is on

Four in the morning. The baby is screaming. The mother picks it up, feels the hot little head, takes its temperature: 39.8 °C. Alarmed, she wakes the father at once. He's still half asleep and only slowly grasps what's going on — but the mother's nervousness tells him immediately: this is an emergency. She has that "do something" look. Every husband knows it. And you know: time is pressing, something has to happen now, or this thing spins out of control. And you don't want that.

And now nobody knows what to do.

Now stress takes over. And stress is restlessness — and restlessness always raises the risk of doing the wrong thing. The perception is crystal clear: danger! But it's exactly in the tunnel of panic that misunderstanding begins. What's the right thing to do now? Do something, anything, in a panic? Grab whatever is closest? Pick the simplest solution? Give the fever medicine that's still lying in some drawer? But is it even suitable for babies?

Neither of the two young parents knows why the baby is running a fever. And fever isn't always the enemy: the body often turns the temperature up on purpose, to defend itself. The number alone — 39.8 — doesn't say what to do. Whoever interprets it without knowledge is guessing. And guessing, when things get serious, is the worst of all ideas.

Drawn by the light, the neighbour suddenly stands in the doorway in his pyjamas. Armed with a first-aid certificate from the previous decade and an ego that barely fits through the door frame. He instantly has a loud remedy for everything: "My nephew had the same thing — what you absolutely have to do now is …!" Well meant — and still nothing but half-knowledge, delivered at full volume. But because he comes across so damn confident, the temptation to believe him is great — especially now, when you're at a loss yourself.

What the baby needs now is not action for action's sake. And however hard it is in this tense situation — the screaming baby, the "do something now" look of the woman he loves, the loud neighbour — the right thing begins with shutting all of that out for a moment. It takes calm, and it takes the parents' courage to admit their own not-knowing: I don't know what to do here. And then to get the only help that counts now — the help of people who bring two things: they've learned what to do, and they have experience with exactly this situation. No, you don't make a fool of yourself by calling an ambulance at 4:15 a.m. or driving to the hospital. Exactly that can save the baby's life.

Whoever has walked into a good clinic on such a night knows the moment: here are people who aren't seeing this fever for the first time. They measure, they read the values soberly — and even before the baby gets any medicine, the parents' pulse comes down. The calm of the professionals fills the room. They don't guess. They know.

Do we act in panic — or do we call in someone who really understands?

If you don't understand the cause, you must not guess

What holds for a baby with a 39.8-degree fever at four in the morning also holds in every company — and especially in the field SEOlogie works in: visibility in the digital space. It, too, can collapse. There were times when an SEO would get the call at two in the morning: "We've dropped from position 1 to position 4 on Google for our most important keyword — do something!" From the outside, that sounded harmless. But a crash like that could mean losses of more than a hundred thousand euros within a few days — and on the phone, the same panic as at the bedside of the feverish baby.

Today it's no longer quite like that. Artificial intelligence has shifted the rules of the game: rankings are no longer carved in stone, answers are often served directly, visibility spreads across many places, placements and systems. The dramatic overnight crash for a single keyword has become rarer. But visibility still falls away — only more quietly, more diffusely, often harder to grasp. And when it does, the panic has stayed exactly the same.

It's precisely this shift that overwhelms many who still see themselves as classic SEOs. Whoever hasn't read the signs of the AI era often thinks too narrowly and doesn't look beyond the confines of pure search engine optimization. Exactly here lies the difference from the SEOlogen — the practitioners of SEOlogie: a SEOloge doesn't stubbornly confine himself to visibility in search engines but sees the whole picture of visibility in the digital space — the search, the AI answers, the places and placements and systems that played no role yesterday. Whoever stares only at the ranking today overlooks the greater part of what decides being found.

Today the cries for help usually sound different: conversions are collapsing, the enquiries stop coming. There are a hundred possible causes for that, often very close at hand — the website is unreachable, the campaigns have stopped serving, the contact form no longer works. And very often it's simply the organic, unpaid visibility that has fallen away — and nobody knows where. Even less, why.

Here too the pressure is on, and here too the restlessness seduces people into frantic activity: budgets get shifted and reshuffled overnight, ill-considered measures fired off, settings overturned — just to do something. And as with the medicine cabinet in the night, you reach for the nearest remedy — and make the problem worse, because the cause was never understood.

When confidence stands in for expertise

In business, the neighbour has his counterpart too: someone from the personal circle of the leadership. Let's call him Karli — a brilliantly connected, likeable guy. Golf instructor in summer, ski instructor at an upscale ski resort in winter; people know him, people like him. And right now he has nothing better to do than spread his half-knowledge with fervour. Because Karli once built the website for his aunt's flower shop — even a Facebook page to go with it. For him, that settles it: his hour has come. He is the man to step up in an industrial company as the expert for web development, online marketing and everything digital altogether. His bearing is that of a head of state; he spreads his half-knowledge with the fervour of a cult preacher.

And what is actually at stake here? Nothing less than the lifeline of the company. The enquiries bring the customers; if the conversions fall away, the enquiries fall away — and with them, the revenue. That's what starts the ship sinking — and it can tip toward zero frighteningly fast. For an industrial company that today brings in a good share of its orders through its own website and its digital surroundings, that isn't annoying — it's existential. It is the company's high fever. And it's exactly this fever that Karli is now let loose on.

The in-house IT specialist, with a university degree and many years of experience, doesn't stand a chance against that much confidence. His sober suggestion to bring in someone with real specialist knowledge for exactly this problem falls on deaf ears. "Karli can do it! Have you seen that golf swing of his?" What the golf swing has to do with the matter, nobody in the room knows — but it gives everyone a good feeling. Nobody wants to wrestle with dry technical questions for long anyway. And to question Karli would mean questioning the one who brought him in. So everyone stays silent. Karli will sort it out.

That Karli is cheaper than a real expert, at least at first, makes him all the more attractive to the managing director — it isn't just the likeable, friendly manner. Yet self-appointed experts like him are often the least willing to learn of all: they don't need to learn anything, they already know everything. And while Karli puffs himself up, the budget burns in the background: wrong strategies, lost months, ruined campaigns.

The managing director even secretly suspects it — that Karli may not quite be the man for this, that the real expertise is missing. But his wife thought the flower-shop website was beautifully done. And how complicated can this website stuff be? Not rocket science. Karli is cheap, that saves budget, he'll manage somehow — and if not, what's the worst that can happen?

Exactly in that last thought lies the real mistake. It doesn't lie with Karli. It lies with the managing director, who lacks any awareness of how much his own visibility is worth. If you don't grasp that findability in the digital space helps decide the fate of your company, you'll hand it over without a second thought to the next person who comes along. If your own visibility means nothing to you, you may as well leave it to Karli.

In panic, you cling to any confidently delivered solution, because it covers your own uncertainty. But then you believe whoever appears loudest — not whoever understands most. And self-assurance is no proof of ability. Whoever bets on loud half-knowledge instead of expertise and real experience is playing Russian roulette with their own company.

When to call the emergency doctor

And then there's the ego of the leadership itself. The thought at 4:15 a.m. — "am I really allowed to dial the emergency number over just a fever, what will they think of me?" — has its counterpart on every executive floor: the fear of showing weakness. You'd rather quietly tinker with the burning problem than admit: this is where I reach my limit.

But leadership doesn't show itself in knowing everything yourself. It shows itself in recognizing when to call the "emergency doctor" — someone whose daily business is exactly this crisis, who doesn't join in the frenzy but soberly looks for the cause and talks the team down from its panic. In SEOlogie, that is the task of the SEOloge: the calm diagnostician who has seen this "fever" a hundred times before. And it also means politely but firmly declining the neighbour's loud, well-meant advice — and letting the professionals take the helm.

There is only one honest alternative to getting the specialist: learning fast enough yourself to truly understand the situation. Both are legitimate. Only one thing is not: perceiving something, not understanding it — and then, on top of that, bringing half-knowing egomaniacs on board who have just as little grasp of the matter, and shifting the responsibility onto such Karlis. That can get expensive.

And an honest expectation is part of it. Just as the emergency doctor doesn't heal the baby that same night, the SEOloge doesn't restore visibility at the push of a button — that takes time. But as soon as the cause is found, as soon as you understand why something is the way it is and know what to do next, half the battle is already won. The panic recedes. And you sleep more soundly again.

Do we know when to call the emergency doctor?

Visibility runs a fever

What holds for the baby also holds for visibility in the digital space: it, too, sometimes falls ill. Sometimes organic visibility in the search engines collapses, sometimes paid campaigns suddenly lose their effect, sometimes the enquiries stop coming, sometimes the AI systems lose their trust in a source.

All of these are symptoms. They show that something is wrong. But just as a high fever is not the illness itself, a drop in visibility is rarely the actual problem. It is a signal — a sign that somewhere in the system, something has fallen out of balance.

That's why here, too, everything begins with the same question: Why? Only once the cause is recognized and understood can it be fixed. And then something astonishing often happens: visibility begins to heal — much like a body slowly regaining its strength after an illness.

Every recovery takes time

That, too, holds for digital visibility. Once the cause of a problem is recognized and fixed, it by no means follows that visibility returns at once.

A campaign first has to learn again which of the people who fit it is meant to reach, which messages work, which combinations bring the best results. New content first has to be found by the search engines, crawled, indexed and evaluated anew. New signals need time to build trust. Only then does visibility begin, step by step, to get well again.

Whoever doesn't give this process the time it needs judges the health of their visibility too early. They end measures before those could take effect — or keep changing them before it could even show whether they would have succeeded.

Patience alone doesn't make visibility successful. But a lack of patience destroys many solutions before they ever had the chance to work.

Are we giving visibility the time to get well — or breaking off the treatment before it can work?

Data is not yet knowledge

Acting too early is one way of misunderstanding. The other is misreading a number from the very start. Picture a report. One line in it glows red: bounce rate +3 %, a small arrow pointing up. More than half of all website owners read that line and think, without asking any further: bad. Red, up — so, a problem.

But is that true? Answered honestly: from that line alone, you can't tell at all. Because a number is not yet knowledge. It is raw material. And the most dangerous mistake of this phase is not overlooking a number — it's believing you've understood it when all you know is its label.

What does the bounce rate even measure? Simplified: the share of visitors who leave after a single page without doing anything further — no click, no form, no second page. So much for the textbook definition. But even the definition isn't stable. In today's widespread Google Analytics 4, a visit already counts as "not bounced" if it lasts longer than ten seconds, leads to a desired action or opens a second page. In the predecessor system, by contrast, every one-page visit counted as a bounce — even if someone spent five minutes reading, spellbound. The same word, two systems, two meanings. Whoever doesn't know that is interpreting a number they don't actually know.

And now it gets serious, because the same number can mean the exact opposite of what it suggests at first glance. A company expands its help section: dozens of new pages, each answering exactly one question — "How do I cancel?", "What does delivery cost?", "How do I reset my password?". People find exactly that one page through search, read the one answer, are satisfied, and leave. That's precisely how these pages are supposed to work. Yet in the report, the bounce rate of the whole website rises — solely because dozens of pages have been added that were deliberately not built for lingering. Every single one was a success. The total looks like a problem.

It goes further still: a rising bounce rate can even be the direct result of a successful improvement. When the content gets to the point so precisely that the visitor has the answer immediately and doesn't need to click any further. When the page loads faster and nobody hunts, frustrated, through subpages for the information anymore. When an ad finally delivers exactly what it promises and the person immediately finds on the landing page what they came for — and leaves satisfied. In all these cases the bounce rate rises because something got better — not worse.

Whoever knows none of this and only sees the red "+3 %" draws a false conclusion. From the conclusion follows a decision — "we have to fix this" — and from the decision follows the worst part: a team is commissioned to rebuild something that was working superbly. Time, money and energy flow into "improving" a non-problem — and more often than not, that is what creates the problem in the first place.

Do we know the number — or only its label?

If you don't understand the label, you understand nothing

The bounce rate is only one label out of hundreds. Behind every report lie dozens of such terms — dwell time, conversion rate, reach, impressions, visibility index — and for almost every one of them, the same is true: the word promises a clarity it doesn't have.

From this follows an uncomfortable sentence that hits the core of the second phase: whoever doesn't truly understand even the single label can't understand anything that follows either. They can't interpret the data behind it, can't recognize connections, can't build conclusions on it. They read colours instead of meanings — red is bad, green is good — and make decisions on a foundation they themselves don't fully understand.

That's why understanding doesn't begin with the big picture but with the smallest building block: knowing what lies behind a word before drawing a conclusion from it. The cycle says it already: data is not yet insight. A dashboard full of metrics is not yet understanding. It is a pile of raw material waiting to be read — and one that, read wrongly, sends whole teams in exactly the wrong direction.

And it doesn't stop at understanding. The same metric later becomes the yardstick by which an entire plan measures its success. A label misunderstood here sets the wrong goal in planning — and then a whole team works at full strength toward a value that was never the right one.

Are we collecting numbers — or do we understand what really lies behind them?

Understanding connects the dots

A single data point says almost nothing. Only when several observations connect does a picture emerge.

Perhaps the language of the seekers has shifted. Perhaps the source is answering questions nobody asks anymore. Perhaps the company has moved on without the website following suit. Perhaps the gatekeepers judge the same source differently today than they did yesterday. Each of these observations on its own is harmless. Together, they form a diagnosis.

This is where the structure of the five building blocks pays off. They are a chain: you can't understand any single building block without thinking of the others. A drop at the places can have its cause with those who fit; a problem with the gatekeeper can stem from a murky source. Understanding means joining the observations from all five modules of perception into one single coherent picture.

Do we see single numbers — or the pattern they form?

Understanding needs openness

Understanding also means allowing that your own explanation could be wrong. Whoever looks only for confirmation rarely understands anything new — they only find what they expected all along. Elsewhere, SEOlogie calls this the Echoes of Confirmation: the need to have confirmed on the outside what you already believe on the inside.

Here lies a paradox already embodied by the neighbour from that night: it wasn't his not-knowing that was the greatest danger — it was his certainty of already knowing. Whoever is convinced they've long known the answer stops looking. Zen Buddhism set an ideal against this: the beginner's mind (Shoshin). In essence: in the beginner's mind there are many possibilities, in the expert's mind only a few. The more finished knowledge settles over your perception, the less you truly see.

Real understanding therefore doesn't come from knowing more — it comes from staying open enough to see what you've perceived fresh, instead of pressing it straight into old conclusions. It takes knowledge. But it takes curiosity, openness and sometimes the courage to change your own conviction just as much. Exactly that is what separates the true specialist from the loud neighbour: he knows a lot — and still looks anew every time.

Are we looking for confirmation — or are we willing to be wrong?

The most important question a SEOloge asks

A SEOloge doesn't first ask: "What should we do?" He asks: "Why is this happening?"

The order is not arbitrary. Whoever acts before understanding only optimizes their own assumptions. Only once the why is answered does the next phase begin. Planning grows out of understanding — not the other way around.

Are we already asking "What do we do?" — while the "Why?" is still open?

Understanding is the turning point

Perceiving answers the question: What? Understanding answers the question: Why? Only through that do observations become insights — and only from insights come decisions that solve the right problem instead of the wrong one.

That is the turning point in the cycle. Before it, you observe. After it, you act. In between stands the one step that decides everything that follows: whether we understand what we've perceived correctly — or misunderstand it and act on the error.

Understanding doesn't mean gathering more information. Understanding means recognizing what the information means.

→ On to Phase 03: Solutions grow from insights

Sources and literature

Cite this entry

Oberhauser, Ortwin (2026): "Understanding — Phase 02 of the SEOlogie Cycle" — SEOlogie, the wiki of the study of letting yourself be found. seologie.com/en/verstehen.