Contents
- 1. Why I started to care about "structure"“
- 2. Chapter Two: What is the "structure" of a blog?
- 3 From Disorder to Order: The First Layer of Blog Structure Growth (The Formation of the Entry Point)
- 4. The second layer of structural growth: from "existence" to "visibility" and then to "usability"“
- 5. Make the blog structure truly functional.
1. Why I started to care about "structure"“
As the number of blog posts increased and the content gradually crossed different fields, I began to vaguely realize a problem: these originally independent articles were slowly turning into a pile of information that was "difficult to reuse".
Initially, this feeling wasn't obvious. When there weren't many articles, even without much structure, it didn't affect the reading experience. But as content gradually accumulated, a change began to become increasingly apparent—the amount of content was constantly increasing, but the portion that was actually seen and utilized was decreasing. This wasn't a problem with the content itself, but rather a lack of organization between the pieces of content.
This idea stems largely from a very specific phenomenon: visitors are finding it difficult to quickly find suitable content among a large number of scattered articles.
For example, visitors who enter through a search engine often come with a specific question and rarely spend time exploring further content after reading an article. While blogs offer features like tags and search, these tools are often passive – they only function when actively used, which most visitors don't. This leads to a common but easily overlooked situation – content that has been written isn't effectively utilized, a significant but often hidden waste.

Moreover, even visitors willing to delve deeper, or returning readers, encounter another problem: a lack of clear direction. They may not know where to begin, what constitutes foundational content, what represents advanced material, or how to determine the relationships between different articles. In this situation, reading becomes a fragmented exploration rather than a path to follow.
Once a blog has a certain "structure", these problems often naturally ease: the content is no longer isolated, but interconnected; reading no longer depends on "luck", but can be done by following the path; visitors do not need to put in extra effort to gradually understand the overall context.
In other words, "structure" does not directly add content, but it determines whether existing content can be reused and whether it can form an overall impression in the reader's mind.
But after truly starting to think about these issues, I realized a more fundamental problem: we often talk about "structure," but rarely do we really clarify what constitutes the "structure" of a blog? Is it categories? Tags? Navigation? Or those "knowledge maps" that are compiled later?
This question became unavoidable when I tried to implement the "structure." Therefore, before proceeding, it's necessary to clarify this question: what exactly constitutes the "structure" of a blog?
2 Chapter Two: What is the "Structure" of a Blog?
To understand the "structure" of a blog, a very intuitive analogy is the tourist map we often see in scenic areas. On a tourist map, you can usually see two crucial pieces of information at a glance: first, "your current location," and second, the path from your current location to other areas. It is these two points that make an initially unfamiliar space understandable and let you know where to go next.

The same applies to blogs: whether visitors enter from the homepage or directly through a search engine or external links to a specific article, if they can clearly understand the "position" of the current content within the entire blog, and what related content can be extended from it, then even if they only come across a part of it, they can form a general cognitive framework of the blog's overall content.
In this context, reading is no longer just about reading an isolated article, but rather a continuous and ongoing process. Visitors are more likely to determine if there is other content that interests them and are more likely to continue reading in depth, thus reducing churn caused by a lack of understanding of the overall content.
In other words, the structure of a blog, in essence, does not solve the problem of "how to display content," but rather:Regardless of where you enter, you should know where you are and where you can go next. From a more abstract perspective, structure is actually the way the relationships between content are organized and expressed.
Once you understand this issue, you'll realize that the value of structure isn't just limited to human visitors. For search engines, and even the increasingly common AI systems (such as content-understanding models like ChatGPT), a blog with a clear structure is easier to "understand." This "understanding" isn't just about crawling page content, but about more naturally determining which content belongs to the same topic, which articles have hierarchical relationships, and which content is more representative.
These capabilities don't exist because of the existence of structure; rather, when structure exists, these systems prioritize using these relationships to organize and understand content. From this perspective, structure essentially provides a way of organizing content. This way of organizing serves the reader and is also inherited and utilized by various systems, which is precisely why structure begins to become important after content has accumulated.
Unfortunately, for the vast majority of personal blogs, this "structure" is often absent from the beginning. The reason is simple: most bloggers rarely make long-term and detailed plans for the overall structure when they first start writing. More often than not, they write content first, and only as the number of articles gradually increases do they begin to realize that some kind of organization is needed.
Therefore, structure is not a "designed starting point," but rather a "problem that arises after content has been accumulated."
This becomes easier to understand if we look at this issue within a more typical website type: the structure of many commercial websites (such as e-commerce platforms and corporate websites) is usually designed before the website is even built.
For example, the simplified structure of an e-commerce platform website can be roughly represented as follows:
Homepage ├── Product Categories │ ├── Electronics │ │ └── Product Details Page │ ├── Apparel & Footwear │ │ └── Product Details Page │ └── Home & Living │ └── Product Details Page ├── Promotions ├── Search ├── Shopping Cart │ └── Order Checkout │ └── Payment └── User Center ├── Order Management ├── Shipping Address └── Account Information
The key feature of this structure is that the core categories, user paths, and relationships between pages are clearly designed before the website goes live. Subsequent work essentially involves simply filling this established structure with content. In other words, it's a classic "structure first, content later" approach.
Unlike commercial websites that "build the structure first and then fill it with content," personal blogs often do the opposite: they are more like starting with individual articles, and as the number increases, certain underlying connections gradually emerge. However, these connections are implicit and difficult to utilize before they are organized. This is why many blogs, after accumulating a lot of content, end up in a state of "looking like a lot, but difficult to use."
From this perspective, the structure of a blog doesn't necessarily have to be designed from the beginning; it can also be:A relationship that is gradually extracted and revealed from existing content.The question then becomes quite straightforward: when we haven't designed the structure from the beginning, is there a way to "grow" the first layer of structure at low cost based on what has already been written?
3 From Disorder to Order: The First Layer of Blog Structure Growth (The Formation of the Entry Point)
If structure can "grow" from content, then a natural question is: has this "growth" already happened unintentionally in my blog?
Looking back, I realized I had already started doing similar things before I even clearly defined the concept of "structure"—as the number of articles on my blog gradually increased and the themes became more diversified, I tried using some "map" methods to organize the existing content, such as...cloudflare learning map,AI Learning Map,as well asMusic and Sound Cognition Thematic MapThese pages weren't created with the explicit goal of "building a structure" at the time; rather, they were more of an instinctive effort to organize: when the content started to become uncontrollable, I subconsciously wanted to find a clearer way to organize it.
In retrospect, these "maps" did indeed play a role. They brought together previously scattered articles, allowing content under the same theme to begin forming an understandable framework. To some extent, this was already a rudimentary form of a "structure."
From a more practical perspective, this approach itself is not complicated. Even without a clear thematic division, it simply involves compiling a list containing all the articles.Site MapIn fact, they are already doing the same thing: bringing the originally scattered content back into a scope that can be perceived as a whole.
Often, there is no need for a clear plan from the beginning; the structure often gradually emerges during this process of organizing.
Looking back, this process itself evolved gradually: Initially, I simply created a "site map" containing all the articles as a holistic overview; later, as certain thematic content gradually increased, I separated them into thematic maps such as Cloudflare, AI, and music, and at one point used these thematic maps as the main entry points to the homepage. For a period, these thematic maps were even placed at the top of the homepage simultaneously, becoming the entry points for readers to enter different content areas.
But as these "maps" accumulated, a new problem began to emerge: they themselves were fragmented—when visitors entered the blog, they were faced with multiple parallel entry points. Each entry point had its own internal organization, but these entry points were not further integrated. In other words, I did establish some order in the "local" aspects, but in the "overall" aspect, it remained loose.
It was only then that I gradually realized a problem I hadn't thought through before: a structure not only needs to "exist," but it must also be "easily accessible." If a structure doesn't have a unified entry point, then even if it's well-organized internally, it's difficult to use effectively. For visitors, this still means incurring additional costs of judgment and choice, and in most cases, these costs directly translate into giving up on exploration.
So I started trying to bring these scattered "maps" together, no longer letting them exist as multiple entry points—I gathered the articles that I considered important and representative onto one page, ultimately forming a new entry point:Blog Knowledge MapOn the surface, this step is just an adjustment to the way the homepage is displayed, but in essence, it represents a very crucial change: from "multiple scattered entry points" to "one unified entry point".
At this stage, the blog's content is organized as a whole for the first time. Different topics are no longer independent sections, but are incorporated under a single entry point. For visitors, this means they no longer need to switch between multiple entry points, but can start from a unified starting point and gradually understand the blog's content structure—from "disorder" to "order," and the first layer of structural growth is completed here.
However, after using this method for a while, I gradually realized a new problem: although the entry point has been unified, it is only effective for "readers who enter through the entry point".
In reality, a large number of visitors do not enter the blog through this unified entry point, but rather through search engines or by links forwarded by others, landing directly on a specific article. For these visitors, this unified entry point is almost "invisible." In other words, while the entry point exists, it does not cover most of the actual access paths.
This means that even with a relatively clear structural entry point, a significant number of readers still begin reading "out of context." What they see is only an isolated article, not the overall context in which it appears.
Without additional guidance, these readers would find it difficult to realize the current content's place within the overall blog post, or to extend it further into related content. The question then becomes more specific: can readers, upon entering any article, naturally perceive its structure and, from there, return to the larger narrative thread?
This is the next step I'll try to address.
4. The second layer of structural growth: from "existence" to "visibility" and then to "usability"“
4.1 From “Entry Point” to “Article”: The Problem’s Re-convergence
If the first layer of growth addresses "how to create a structure from nothing," then the more practical question is: how to make the structure not only exist in the entry point, but also perceptible in every article? Once this question is clarified, a more specific constraint emerges: we cannot change how readers enter the article; we can only start with the "article layer" itself.
Since a large number of visits begin with a single article, what can truly be utilized is no longer the entry point, but rather the structural information carried by the article itself. In other words, if the structure cannot be perceived through the entry point, then it must be revealed within the article. This means that each page containing an article not only carries the content itself, but also needs an additional capability: to point to the overall structure in which it resides.
The question then narrows down to: Is it possible to establish a natural connection between an article and a certain structure as soon as it is written, without incurring additional maintenance costs?
4.2 What can be done at the article level?
Now that the problem has narrowed down to the "article level," the next more specific question becomes: within this level, what space can we actually utilize?
If you break down a blog post, it's not simply about the "main content." Around an article, there are usually several different types of information: first, the core main content itself; second, meta-information describing the content's origin, such as categories and tags; and third, some extended areas at the page level, such as supplementary content at the beginning or end of the article. Although these parts all exist around the same article, their responsibilities are actually different.
First, we can rule out the main body of the text itself. The core responsibility of the main body is always to convey specific information. Forcibly embedding structural guidelines into it will not only disrupt the reading rhythm but also make the content bloated. More importantly, this approach is difficult to reuse—once the structure is adjusted, each article needs to be modified, resulting in very high maintenance costs.
In contrast, what truly deserves more attention are two other parts: one is the "meta-information" inherent in the article, such as tags and categories; the other is the "page areas" surrounding the article content, such as the additional information that can be contained at the beginning or end of the article.
These two types of positions share a common characteristic: they are naturally situated "outside the content, yet closely connected to it." On the one hand, they do not interfere with the expression of the main text; on the other hand, they are naturally visible along the reader's key reading path.
From a structural perspective, this is an ideal point—it allows structural information to be perceived without disrupting the original reading experience. If we take it a step further, we discover an even more interesting point: within these available spaces, not all options have the same "cost."
In fact, adding a "navigation information" section to a page can improve the reading experience to some extent, and similar practices are not uncommon in the existing WordPress ecosystem.
Common examples include: breadcrumb navigation displaying the current location path at the top of the page; related article modules recommending similar content at the bottom of the article; or inserting fixed navigation content into the article using blocks or shortcodes. What these methods have in common is that they supplement the article page with additional information to help readers browse and explore further.
From an effectiveness standpoint, this approach does indeed create a sense of "structure" on the page, making the content appear less isolated. However, in my own experience, I've gradually come to notice a limitation: this method primarily displays and supplements existing content, without significantly impacting the relationships between the content itself.
This approach works very naturally on websites with a well-established structure (such as e-commerce platforms or corporate websites) because they already have a relatively stable organizational method. However, the situation is often different for personal blogs: content is accumulated gradually, and categories may not be clear and stable from the beginning. In this case, simply adding some auxiliary information to the page may improve the local experience, but it may not be able to consistently organize the content. Therefore, these existing methods are not suitable for most personal blogs.
I prefer to try a different approach: instead of just adding information to the page, I try to make the most of the existing features of the article itself so that the connections between the content can be expressed more naturally.
At this point, the problem has actually been narrowed down further: in the "article level," in order to avoid interfering with the expression of the content and to minimize maintenance costs, what can really be utilized are those information that already exists but has not yet been fully utilized.
The next step is to find a natural and stable entry point from this information.
4.3 Connections derived from existing information
Once we narrow down the problem to this point, we can observe a very interesting phenomenon: an article already contains some information to describe the relationships between content, but we rarely actually use it. The most typical type of this is tags.
However, before we delve deeper, there's an easily overlooked premise: tags themselves don't necessarily inherently possess the ability to "build relationships."
In many blogs, the use of tags is often quite haphazard: an article might be tagged with many tags, many of which only appear once or twice throughout the entire site. Such tags are more like supplementary descriptions of individual content than "common identifiers" connecting different pieces of content. In this state, tags themselves are difficult to use to convey relationships. In other words, even if you extend them, it's hard to achieve a stable and reusable result.
Only when tags exhibit a certain consistency in usage—for example, being continuously reused around a specific theme—will they gradually transform from simple "descriptive information" into "connecting nodes" capable of carrying relationships. In this case, different articles will naturally form connections by sharing the same tag.
Therefore, the discussion that follows is not about "how to utilize arbitrary tags," but rather about tags that appear consistently within content and reliably point to a specific theme. Only under this premise can tags be further used to convey structural relationships between content. Looking back from this perspective, we can see that tags themselves implicitly contain a possible path "back to structure from content." However, in most cases, this path is not explicitly expressed, remaining in a state of "potentially usable, but not yet utilized."
For example, in my own blog, because I have always maintained relative restraint in the use of tags, some tags themselves already correspond to relatively stable thematic directions: for example, "cloudflare" corresponds to Cloudflare-related practices, "AI" corresponds to artificial intelligence-related content, and "music" corresponds to vocal music and sound cognition, etc. These tags not only appear repeatedly in different articles, but also naturally point to the corresponding thematic maps.
In other words, under these circumstances, there is already an implicit correspondence between tags and "thematic maps": a certain type of tag naturally points to a higher-level structural entry point. However, if we only focus on these "explicitly corresponding" tags, this relationship is still incomplete. This is because, in reality, not every article falls within these thematic scopes—a large amount of content may not belong to explicit topics such as Cloudflare, AI, or music. From this perspective, if we only establish connections for "partially" tags, the final result is still only a "partially valid" outcome.
Therefore, if we want this relationship to cover a wider range of content, we need a more universal way of connecting: when an article does not belong to any clearly defined topic, it should still have a path that can return to the overall structure.
In my practice, this "safety net" role is actually played by "“Blog Knowledge Map”This means that even if an article does not belong to a specific topic, it can still be incorporated into the overall structure through this unified entry point.
Here's a point that might raise questions: what if some articles themselves weren't included in the "..." section?“Blog Knowledge Map”Should it still point to this entry point?
From a structural perspective, this approach still holds true. The significance of this entry point lies not merely in "precisely covering all content," but in providing readers with a starting point for understanding the overall context. Even if the current article is not explicitly listed in the map, readers can still use this entry point to access the larger content system.
Under such circumstances, the combination of "tags → thematic maps + unified entry point" has actually formed a relationship foundation that can cover the vast majority of content.
Once this relationship is clarified, a more direct possibility emerges: since the tags themselves can reliably point to a certain type of content, can we use this as a basis to allow the article to actively express this relationship when it is presented? In other words, instead of just "filtering content through tags," the relationship represented by the tags can become a connecting path between the article and the overall structure.
At this point, the question has shifted from "whether such information exists" to a more specific question: how to stably express this existing relationship without incurring additional maintenance costs.
In other words, the core of this step lies not in "construction," but in "expression."
4.4 Make the structure visible in the article
Having advanced this line of thought, a fundamental premise is already established: the correspondence between the text and the structure already exists. We can now determine which structural entry point the text should point to based on the information it carries (labels in my example).
Therefore, the task at the implementation level can be reduced to a very direct goal: to make this existing relationship actually present on the article page.
Since a large number of readers enter through a single article, the only thing we can truly leverage is the "article layer" itself. This means we don't need to modify the overall entry point or restructure the content system; we only need to add a path pointing to the structure within the page containing each article.
This path can take a very simple form, such as adding a prompt on the page: "This article belongs to a certain topic; you can view the full content from the corresponding map"; or suggesting that readers can start from the "Blog Knowledge Map" to understand the overall content structure. It doesn't need to handle complex navigation functions, nor does it need to replace the existing classification system. Its only function is to provide an exit point for readers to return to the overall structure while reading a single article. When this path is consistently present, the article is no longer an isolated page, but becomes a node in the entire structure.
Having clarified the need to add such a path, the next consideration is how it will be presented on the page. A crucial constraint here is that it shouldn't disrupt the reading flow of the content itself.
From this perspective, such prompts are more suitable for appearing at the "boundary" of the reading experience, rather than in the middle of the text, so as not to interrupt the reading flow. In other words, it should appear in a position that is easy to notice but does not compete with the main text. Of course, there is no single correct approach; the key is to maintain a basic principle: it should be visible, but not overly intrusive.
From an implementation perspective, this matter itself is not complicated. Next, I will use a concrete example to put this logic into a directly usable implementation.
4.5 A Feasible Implementation Method
Once the structural relationships are clear, the only remaining question is how to reliably integrate these relationships into the page. In this section, I'll use WordPress as an example. However, it's important to note that the key here isn't whether it's based on WordPress, but rather how to translate the aforementioned "relationship between tags and structure" into a functional mechanism. This approach also applies to other blogging systems, though the specific implementation will differ.
In the previous section, we narrowed this down to a very specific goal: to add a path to the overall structure on the article page.
Looking at the page structure of a WordPress post, there aren't many places that can accommodate these kinds of "structural relationship cues." The two most natural choices are the beginning and the end of the post. These two positions correspond to two different reading times. Placing it at the beginning means that readers can perceive the current content's position within the overall structure as soon as they enter the page; while placing it at the end is more like providing an exit after reading, guiding readers back from the current content to the larger content context.
From the perspective of "whether it interrupts reading," the difference between these two methods is quite obvious. The beginning position is more noticeable, but it is also more likely to compete with the main text; while the ending position, although relatively less conspicuous, hardly interferes with the reading rhythm and is more in line with the role of "providing a path when needed."
Based on my own experience, many readers access a single article directly through a search engine, and their primary focus is usually on the content itself. In this case, inserting a structural cues at the beginning might actually be distracting. Therefore, I ultimately chose to place the "structural relationship cues" at the end of the article, providing a path back to the overall structure after the reader has finished reading the current content.
The advantage of this approach is that it doesn't attempt to alter the reader's reading path, but rather adds a connection to the structure at the end of the existing path. This ensures the complete expression of the content itself while allowing the structure to be perceived at a more natural time.
This can be achieved by inserting code after the main text of the article, and there are generally two ways to do this.
1. Achieve this by adding a piece of code to Code Snippets.
This can be achieved by adding code to the Code Snippets plugin:


The code I added to my blog is as follows:
function add_structure_link_after_content(content) { if (is_single() && in_the_loop() && is_main_query()) { // ✅ Exclude map pages (determined by POST ID)post_id = get_the_ID(); if (in_array(post_id, [ 100, // roadmap 101, // cloudflaremap 102, // aimap 103, // singingmap 104 // map ])) { returncontent; } // Get tag slug
tags = wp_get_post_tags(get_the_ID(), array('fields' => 'slugs')); // Default: Blog Knowledge Maplink = '/roadmap/';
text = 'Blog Knowledge Map'; // Prioritize matching topics if (in_array('cloudflare',tags)) {
link = '/cloudflaremap/';text = 'Cloudflare Learning Map'; } elseif (in_array('ai', tags)) {link = '/aimap/';
text = 'AI Learning Map'; } elseif (in_array('music',tags)) {
link = '/singingmap/';text = 'Thematic Map of Music and Sound Cognition'; } // Output structure path (optimized style version)
extra = ' 📌 Content Structure Hints: This content belongs to " '". .The text is part of the ' " and you can view the full content path here: . link . '" target="_blank" style=" color:#3b82f6; font-weight:500; text-decoration:none; "> ' .text . ' . '; return content. .extra; } return $content; } add_filter('the_content', 'add_structure_link_after_content');
This code itself is not complicated. It can be simply understood as two steps: first, it determines the tag of the current article and determines which structural entry point should be pointed to based on the tag; then, it appends a corresponding prompt message to the end of the article content.
The reason why it is possibleWithout modifying the theme templateThe key to inserting content directly after the main text of the article lies in using a mechanism provided by WordPress: the_content filter.
When WordPress renders a post page, the content undergoes this filtering process before being output to the page. The `add_filter('the_content', …)` function essentially "takes over" the post content during this process—the function receives the raw content, processes it (by appending HTML to the end), and then returns it to the system for output.
For this reason, this method has a very obvious characteristic:It applies to all the content of the article itself, without depending on the specific topic structure.Regardless of the theme used, this logic will work as long as `the_content()` is called normally to output the main content.
Of course, this isn't the only way to implement it. If you want more precise control over the display position, such as inserting it precisely between modules, you can also handle it directly in the theme template (e.g., single.php). In comparison, this filter-based approach is more general, while the template approach is more flexible; the specific choice depends on the actual needs.
In a blog using a multi-active architecture (see article for details:A solution for implementing a WordPress multi-active architecture (simplified version) in a personal blog.Implementing this type of structural logic using Code Snippets makes it easier to centrally manage and distribute it uniformly, and it is also more suitable for maintaining consistency across different nodes.
2. Achieve this by adding code to a specific location in the single.php file.
Compared to the method using the `the_content` filter, inserting code directly into the theme template (e.g., `single.php`) is an alternative approach. This method no longer relies on content filtering mechanisms; instead, it places the structural hints directly at a specific location within the page structure, thus offering greater control over their placement. For example, it can be precisely inserted before the share button or between modules. In contrast, the filter-based approach is more general and not dependent on a specific theme, while the template-based approach is more flexible and allows for fine-tuning based on the page structure.
Make the settings in a specific location within the WordPress admin panel: "Appearance" - "Theme File Editor" - "single.php".

Simply add the following code and save:
<?php
// ✅ 当前文章 ID
post_id = get_the_ID(); // ✅ Exclude map pages (using ID) if (!in_array(post_id, [ 100, // roadmap 101, // cloudflaremap 102, // aimap 103, // singingmap 104 // map ])) { // Get tag slug
tags = wp_get_post_tags(post_id, array('fields' => 'slugs')); // Default: Blog Knowledge Map
link = '/roadmap/';text = 'Blog Knowledge Map'; // Match topic if (in_array('cloudflare', tags)) {link = '/cloudflaremap/';
text = 'Cloudflare Learning Map'; } elseif (in_array('ai',tags)) {
link = '/aimap/';text = 'AI Learning Map'; } elseif (in_array('music', tags)) {link = '/singingmap/';
text = 'Thematic Map of Music and Sound Cognition'; } // Output structure prompt echo ' 📌 Content Structure Hints: This content belongs to " '". .The text is part of the ' " and you can view the full content path here: . link . '" target="_blank" style=" color:#3b82f6; font-weight:500; text-decoration:none; "> ' .text . ' . '; } ?>
Compared to "appending" the article at the content layer using the `the_content` filter, the approach implemented in `single.php` is more direct: it doesn't modify the article text itself, but instead determines the corresponding structural entry point based on the current article's tags within the page template, and then directly outputs the prompt message at the specified location. From an implementation perspective, the core logic is completely consistent—it still involves retrieving tags, matching rules, and generating corresponding links. The only difference is that previously, the content was "concatenated and then returned," but now it's inserted into a specific location within the page structure using `echo`. Therefore, the advantage of this method is its controllable placement, allowing precise placement before the share button or between other modules; the cost is that it relies on a specific theme template. Essentially, the two methods differ only in their entry point: one operates on the content itself, and the other on the page structure. The choice between them depends on the actual use case.
It's worth noting that, for demonstration purposes, the background color, font color, and other styles for the "content structure hints" section are directly written into the PHP code. While this approach works in terms of effect, it's not the most recommended method from a more standardized perspective.
A more reasonable approach is to place these styles in a separate CSS file and control their appearance using classes. This way, if style adjustments are needed later, there's no need to modify the PHP code, making maintenance clearer and more flexible.
Of course, if you're just doing a relatively simple implementation like mine, you can perfectly work with inline styles directly in the code, and modifications are quite intuitive. However, if there's a need to further optimize the page style later, it's still recommended to separate these styles into a separate CSS file.
In actual implementation, there is another easily overlooked detail that needs attention:The actual identifier of a tag in the system may not be the same as the display name we see in the backend. In WordPress, for example, tags typically have both a "Name" and an "Alias" field. When performing a conditional check in the code, if a slug is used, the matching is based on this "Alias," not the tag's display name itself.
This means that if the naming conventions for tags are inconsistent (e.g., a mix of Chinese and English, or automatically generated aliases), there may be situations where "the tags appear to have been applied, but the rules are not actually being applied."
Therefore, when constructing structural relationships based on tags, it is best to ensure that these tags used to carry structural meaning have a consistent and predictable identification method (e.g., uniformly using the English word "slug") to avoid deviations at the implementation level.
4.6 After the structure begins to function
Once the preceding logic was implemented, a very direct change began to appear: the previously isolated article pages began to have a path leading to the overall structure. Before this "content structure hint," an article, when accessed, presented essentially as a relatively closed page. Readers could access the current content, but it was difficult to naturally extend to more related content.

After adding this prompt, the page itself didn't change much, but a clear exit path appeared at the "end" of the reading experience. After completing the current content, readers can follow this path back to the larger content structure:

This change may seem small, but its impact is structural: the article is no longer just a single point, but becomes a node in a larger content network.
To be more specific, different types of articles will point to different structural entry points. For example, when an article contains tags with clear thematic focus, such as "cloudflare," "AI," or "music," the prompts will directly guide readers to the corresponding thematic map. This means that readers can not only see the current content but also quickly understand the overall context within that theme.



For articles that don't explicitly belong to a particular topic, they are all directed to the "Blog Knowledge Map." In this case, this path acts as a universal entry point, allowing readers to return to the overall structure from the current content.
In addition, this approach is highly scalable: as content accumulates, if new thematic maps need to be further subdivided, simply add the mapping relationship between the corresponding tags and the map in the code, and the articles under the relevant tags will automatically point to the new structural entry point, without the need for manual adjustments to each article.
In other words, once this mechanism is established, the evolution of the structure no longer relies on repeated modifications to existing content, but rather completes naturally through the expansion of rules. This allows the entire blog's content system to continue to grow and refine while maintaining stability.
In terms of results, this approach did not change the content of the article itself, nor did it introduce a complex navigation system, but it allowed "structure" to truly participate in the reading path at a very lightweight level.
5. Make the blog structure truly functional.
Once this connection mechanism based on "tags → topic maps → blog knowledge maps" is gradually established, a subtle but important change will occur in how blog content is organized: articles will no longer be independent content units, but will begin to be placed within a more defined structural relationship.
The significance of this change lies not in the visual presentation, but in the emergence of "traceable paths" between pieces of information. Readers can start from individual articles, return to the main topic, and then to the overall structure, rather than randomly jumping between different articles. This sense of path essentially adds a layer of "structural semantics" to the content.
Looking back from this perspective, we can actually have a simpler but more fundamental understanding of "structure": it's not just another form of categorization, but more like a "usable relationship." Categorization describes where content "belongs," while structure answers: where else can we go from here? The former solves the problem of belonging, while the latter determines the path and flow. Therefore, the truly effective structure is often not just a list of categories on a page, but a connection that readers can actually "use" during the reading process.
In practice, this approach has a rather unexpected characteristic: it doesn't rely on complex system design, nor does it require introducing new maintenance processes. Whether through content filters or by inserting structural cues in the template layer, it essentially just uses existing information (such as tags) to add a visible structural connection to the page.
In other words, this is not an implementation method that relies on a specific technology stack, but rather an organizational method that naturally extends from existing content. Its premise is not system capabilities, but whether one is willing to acknowledge that the content itself can be "structured and read."
From a longer-term perspective, this structure not only influences readers' reading paths but also continuously strengthens how external systems (such as search engines and AI) understand content relationships. When these relationships are consistently and stably expressed, content is no longer passively captured and indexed but is more easily understood and reused in an "organized form."
For beginners, the structure doesn't need to be fully designed from the start, but the earlier you realize its importance, the lower the subsequent maintenance costs will be. Many blogs become difficult to maintain later not because of content quality issues, but because they lack a structural framework to support content growth.
Once a blog has accumulated a certain amount of content, and the blogger is willing to spend some time organizing a basic thematic map and overall entry point, this tag-based connection method can be gradually established at a relatively low cost. It doesn't require a complete design from the outset, but rather allows the structure to be continuously supplemented as content grows.
Of course, this approach isn't the only solution. Websites with a clear information architecture from the outset can employ a more rigorous categorization and content planning system. However, for most personal blogs that build upon existing content, this method of "growing connections from existing information" is often more natural and easier to sustain.
It should be noted that what is being discussed here is a way of "actively expressing" the content structure based on existing knowledge—that is, under the premise that the content can be roughly determined, this relationship is stably presented during the reading process through certain rules.
In contrast, another approach exists, such as using tools like LLM-WIKI to perform a holistic analysis of blog content, automatically uncovering potential connections between articles at the semantic level and generating a structure similar to a knowledge graph or wiki (thanks to commenter "ǝɔ∀ǝdʎz∀ɹɔ 👽" for the recommendation). This method leans more towards "discovering structure from content," and is highly valuable for helping to clarify the relationships between existing content.
The two are not contradictory, but they have different focuses: the former focuses more on how to "express structure" in the reading path, so that readers can perceive the whole when they come into contact with a single piece of content; the latter focuses more on how to "restore structure" at the data level, so as to help us understand the original but not yet explicit connections between the content.
In practice, these two approaches can be combined: for example, automated analysis can be used to help discover potential content connections, and then the stable and clear parts can be transformed into structural entry points visible to the reader. In this way, the structure is neither entirely dependent on manual design nor remains in implicit relationships, but can be gradually completed and truly participate in the reading process.
LLM-WIKI can analyze your blog and find the links between pages.
https://zelikk.blogspot.com/2026/04/hermes-agent-llm-wiki.html
I also looked into this approach, and it's quite interesting. The LLM-wiki method tends to automatically analyze semantic relationships from existing content, "mining" out potential connections between articles and ultimately forming a structure similar to a knowledge graph or wiki. This is very valuable for discovering connections between content, especially when there's already a lot of content, but the relationships haven't been well-organized.
However, what I want to address in this article is actually a different issue: not whether "these relationships exist," but whether readers can perceive the structure when reading a single article and have a clear entry point to return to the overall content system.
This can be understood as two different focuses: one is "discovering the structure," and the other is "expressing the structure and connecting it to the reading path." These two are not actually contradictory, and can even be combined. For example, using LLM to help discover potential content connections would be quite suitable for this layer if I wanted to implement features like "related article recommendations" later. However, the structure entry point is more inclined to use rules to create a relatively stable expression.
Overall, I find this direction quite inspiring, and I might consider incorporating it into my future work.