The Real Reason ‘Optimised’ Content Feels Generic (and What to Do About It)

Writing for SEO seemed like a compromise for a long time.

By Meritxell G. Farré
Freelance Digital Marketing Strategist | SEO Content Specialist | Exploring the intersection of neuromarketing, SEO, and language psychology.

To be fair, you could either write for people and hope that Google would "get it," or you could write for algorithms and know that the output would feel stiff, repetitious, or weirdly inhuman. A lot of authors learnt to deal with that stress because they thought that was just part of being online.

The good news is that this trade-off is almost no longer necessary.

In fact, people and search engines are increasingly looking for the same fundamental requirements: clarity, structure, relevance, and significance. Nowadays, content rarely performs well because it lacks sufficient keywords or is not technically optimised. It fails more frequently because it is difficult to follow, confused about what it aims to express, or unrelated to what the reader is searching for

So, this change in understanding impacts how we write. It takes us away from strategies and towards something more basic: how language conveys understanding.

The major difference is that algorithms read more like humans than we imagined.

At the same time, search engines don't read like people do, but they do look at comprehension signals. These signals are less about making the surface better and more about whether it's easy to get the message.

And just to reinforce the point, search engines do not read like humans do, but they do do look at comprehension signals.These signals are less about making the surface better and more about whether it's easy to get the message.

So, for example:

• Does the topic become evident right away?

• Is the wording clear or vague?

• Does the structure help people find information?

• Does the content still fit with one goal?

What’s interesting, though, is that these are the same indicators that people use to decide whether or not to keep reading.

The Nielsen Norman Group has done research that demonstrates that consumers only read 20–28% of a page, looking for meaning instead of taking in every word. Google's Helpful Content standards also stress "clarity, usefulness, and people-first writing," and they make it clear that content generated just to boost ranks is not acceptable.

All of these signs go to the same conclusion: when people have trouble understanding something, machines usually do too.

Writing as if you were answering a real question

Attempting to achieve multiple goals at once is another common source of conflict in SEO content.

For instance, pages typically attempt to do more than one thing at once, such as teach, persuade, compare, and convert. This may seem like a wonderful idea, but it often has the opposite effect: it obscures the message.

And when the message gets blurred, people get confused when that happens. Algorithms see it as weak intent alignment.

This is why it's helpful to organise each piece of content around a single key question.

So, before you begin writing, conclude this simple sentence: "Someone is reading this page because they want to...".

If they wish to understand the language, it should be taught gradually.
If individuals want to decide, the information should address the pros and drawbacks.
The wording should make it easy for people to act and indicate what they should do next.

Once that’s in place, everything else becomes easy after you've determined what you want to do. Structure sharpens things. Language makes things easier. Meaning becomes stable.

This principle is based on the theories discussed in 👉 The Linguistic Brain: How Language Shapes Perception, Memory, and Trust https://meritxellgfarre.com/the-linguistic-brain

Structure is a tool for comprehension, not only SEO.

People usually consider of structure as a technological requirement, something added for crawlers after the material is written. In reality, structure is one of the most fundamental methods for individuals to make sense of information.

Because when the structure is inadequate, readers are forced to work harder than they should. Understanding is simple when the structure is evident.

Problems generally show up in ways that are easy to spot:

• Paragraphs that include more than one idea

• Headings that sound interesting but don't say anything

• Important points hidden in the middle of a text block

On the other hand, clarity improves when:

• Each paragraph discusses one topic.

• The main point is summed up in the headings.

• Sentences become shorter when accuracy is vital.

The shift can be little but significant.

A title like "Rethinking Content Strategy" makes you consider what it implies.
A headline like "Why Clarity Matters More Than Creativity in SEO Content" is straightforward.

As a result, this eliminates the confusion that helps readers decide whether to continue reading and helps algorithms determine how relevant the topic is. Less cognitive load leads to increased engagement, which leads to greater long-term results.

More accuracy than volume

Precision is one of the most powerful messages exchanged between humans and robots.

And yet, vague terminology may make you feel at ease, but it rarely inspires trust. Like this one: "We offer a wide range of services designed to meet different business needs."

The sentence doesn't make a promise, but it also doesn't say anything.

In contrast: "We focus on SEO content strategy, search-driven copywriting, and content optimisation for B2B brands."

This version is more trustworthy because it limits its scope. People understand what is being delivered. Algorithms can organise skills into groups. As things become less obvious, trust grows.

This concept is central to what I call "linguistic architecture": how the structure of language influences how humans and robots interpret it.
👉 Linguistic Architecture for AI: How to Write Content That Machines Understand and People Trust [https://meritxellgfarre.com/linguistic-architecture]

Comparing strong and weak locations.

Consider how B2B firms implement SEO content strategy.

A terrible site typically use terms that anyone could use. Advice is generic. Claims do not contain enough information. Promises are broad and without boundaries.

A strong site, on the other hand, conveys experience in a more subtle manner. It discusses true boundaries, explains why some methods work in certain contexts, and is open about its own limitations.

This difference has nothing to do with design or qualifications. It mostly comes from how the text is written.

This distinction is unrelated to design or qualifications. It primarily stems from how the content is written

How language shows experience

The most commonly misunderstood aspect of E-E-A-T is experience.

AI systems do not check to verify if you have completed the work. They look for "experiential markers," which indicate that someone had actual experience.

"Businesses should focus on making high-quality content that users will like."

The sentence is correct, yet it means nothing.

Now, look at this: "In B2B SEO projects, the biggest drops in performance I see are usually because the content is written to educate when the user is really comparing options."

Experience shows up here through being specific, recognising patterns, and making direct observations. People understand this right away. AI systems recognise it as firsthand knowledge.

Expertise simplifies rather than complicates tasks.

People sometimes think that expertise is complicated. In actuality, the opposite is true.

When language is full of jargon and abstract ideas, it usually indicates that the speaker is unsure rather than knowledgeable.

The reverse is also true: "We optimise content by first figuring out what the searcher wants and then making sure the structure and language match that."

So, it is easier for humans to understand and AI systems to model explicit cause-and-effect relationships. Being exact strengthens both understanding and trust.

Consistency increases authority.

YPublishing more material does not make you more authoritative. It is created through long-term reflection.

Weak sites alter the wording, tone, and purpose of each page. Strong websites build on their main concepts, use consistent language, and present their points gradually.

The internal connection is quite significant in this case. Not as a way to improve SEO, but to convey meaning. It demonstrates that you are still thinking about the same thing and reinforces your sense of ownership over the concept.

Boundaries strengthen trust.

Low-trust content typically attempts to sound like it applies to everyone. Content with a high level of trust is pickier.

It sounds certain, but it is not always true.

By naming limits, uncertainty is reduced. Credibility increases. That honesty makes both humans and robots feel happy.

Writing in a machine-readable format

The goal is not to write for computers but to write in a way that computers can understand.

The search engines respond to:* Repeat the same words all the time.

• Means that it remains the same.* Semantic coherence.

So, this includes using a single word for each idea, not combining them, and describing ideas as they arise.

People enjoy this because it makes things easier. Machines like it because it improves interpretation stability.