I offer you today a tutorial to create a semantic cocoon very easily and without being mistaken. In fact, missing a cocoon is perfectly possible and some have already tried it 😉 But succeeding is fortunately within everyone’s reach, especially with the method that I am going to offer you today …
We will use the same universe as in my previous tutorial “travel to the usa”.
1) Step 1: choice of subjects in the cocoon
I’m going to assume that you have your target expression. But you have to find subjects, things to say in the cocoon.
In principle, it is a bit the same approach as for netlinking, except that it will be necessary to be particularly careful that the articles do not look alike.
Above all, you must be disinterested and not be obsessed with the concern of selling at all costs: be documentary rather, be the Wikipedia of your field.
You can, as in the previous article on netlinking with metamots, help you from Eureka which is on cocon.se.
In the same vein, you will also have to widen the topics of your semantic cocoon to the different determining lexies of the metamot of the target page (this is also explained in the article cited).
So, at this point, you have a good bunch of selfless topics that will go around your topic.
2) Step 2: calculate the metamots
Calculate the metamots of each of the subjects on cocon.se. Nothing could be simpler: pass your list in the machine and start the calculation.
Note: the metamots calculations are the same whether you wanted to netlinking, mesh or cocoons. It is during the last step that you will choose the desired model. You can also switch between them along the way.
A metamot is a single semantic entity which is made up of several non-separable lexies. There are in principle 15 of them (in 2018).
These lexies together form a signal that will allow Google to appreciate, in a motor way, the relevance of your page on its subject. This relevance makes it possible to make predictions on the pages that can be linked using metamots from the same pages to be linked.
Metamots, although they can also be used for writing, have been developed to calculate the affinities between pages and thus make extremely effective links.
Metamots are not an SEO criterion, but something that allows you to find the best topics in an instant t to link together, and also to find what to put near links so that Google can see the relevance of the link.
In short, metamots leave nothing to chance 😉
3) Step 3: calculate the optimal cocoon
To calculate the cocoon of your dreams, go to “semantic mesh”. In the list on the left, choose your target metamot, that of the page to “push”. Here, “trip to the USA”.
In the “cocoon” line, for the algo to use, you have several choices. I will only mention 2 here so as not to complicate at leisure: Hyperion and Zeus. If your cocoon is small, less than 25 pages for example, take Hyperion, if not, choose Zeus instead.
Do not touch any other setting. Click on “calculate the cocoon”.
This may take a few minutes. It’s finished when this window appears.
The cocoon is developed and you can see it in the visual, after having spatialized and arranged it.
For my part, having seen that many pages are linked in the cocoon, I limited the depth to 4. Here’s what it looks like.
4) Step 4: the deliverables
The deliverables are in 2 forms.
- A mindmap in standard format .mm, with, in the notes of each node the lexies to use in your text, the weighting of these and, among the lexies of the metamot of the current note, the lexies to place close to the links so allow Google to “feel” the common sense of the link;
- An HTML structure with all the pages of the cocoon as well as the essential table of contents of the cocoon. As in the mindmap, there are metamots optimization indications for each page and links and lexies to the other pages.
5) Step 5: write…
Go to writing: there are several tools to help you:
- Simulation that gives you, before writing, the lexies and what weighting to give them according to the size of the texts you think you are doing:
- Optimization, which allows you to optimize your text, live, according to its current size. In this place, you also have access to co-occurrences if necessary and proposed headings if you have requested the calculation beforehand.
6) Step 6: the table
One point often overlooked when building a cocoon is to allow each page to be close to home. On the other hand, the cocoon must have its own plan, its own table of contents. This will appear somewhat in the form of a SERP: alternating titles with link and description with each time the first 2 or 3 decisive lexies in the description.
This table of contents will be linked by footer throughout the site.
7) Step 7: uploading…
Everything must be put online at once, it’s better …
Not the target page which will most often preexist in the semantic cocoon.
Check the links carefully, that none have been forgotten or are broken …
Anecdote: one of my clients experienced it a short time ago: without the links of the mesh, a cocoon does not work … But was it really necessary to experience it? We would have suspected it, right?
IMPORTANT: silo vs cocoon: no relation to each other: when we look at a cocoon mindmap, in no case does it reflect anything other than the principle mesh of the pages between them. It has nothing to do with thematic classification, silo or whatever.
The calculations are done step by step to give the whole maximum power. A cocoon is therefore a set of pages meshed together step by step. That’s all.
The engines judge the affinity of the pages between them, but make fun of the macro diagram that you think you see …
This would not be the case if you were doing page categories for example, but here, no. Besides, at no point should we see the depth levels of a cocoon as subcategories. Here, it’s just a degree of remoteness, nothing else.
So flat urls, no folders or subfolders, no breadweed in the cocoon, just pages and links. Bar point.
Finally, it is easy to build a beautiful semantic cocoon without much effort. Your energy will be preserved when you go to writing texts.