Post by account_disabled on Mar 5, 2024 1:56:46 GMT -5
Never heard of structured data, what is microdata or schema.org? Good for you, I'm serious. However, now that you have become aware of it, you will no longer be able to do without it or, at least, you will have more tools to request extra performance from your developers. We will see how these techniques are not exactly SEO battle tactics to obtain a better positioning in the SERP but how they are a different way to give the search engines themselves additional information on any object contained in the site : a way to better contextualise one's web presence directly from the site architecture. That is to say, everything we do before going live is earned work for later.
Ah, don't blame me if the costs rise because there is a lot of work to do. We have introduced the focal point, even without talking about it directly: by simplifying the complex reasoning that the algorithms do to obtain a perfect semantic search, all the information we can add within the site helps the Hong Kong Telegram Number Data Googlebot to contextualise it in the right categories and can improve the user browsing experience. The better the contextualization, the better Google will evaluate the site. So. We have understood 2 things so far: SEO is a complex activity that not only involves optimizing code and content in technical terms but also in qualitative terms. The more information contained on the site, the greater and different Google's response and display in the SERP will be. As we have seen, the search engine spider can only read textual information and cannot (cannot yet, ed.) read the content of a photograph, for example, and interpret it.
Microdata is used precisely to help search engines perform this operation of interpreting non-textual data: we can "explain" each entity of the site (documents, images, videos) through a series of information defined by a shared code (see for example the schema.org website). Some definitions to understand better: Marking a document (marking): indicates the addition of notes and information to a document or to some of its parts so that it comes out enriched and other software (such as our friend Googlebot or its cousins) can identify its type. In particular, search engines can use markings as a precision tool to better target user searches. How do they use this information? For semantic search , pigeonholing the site into search categories with ever-increasing precision Through the refinement of the information in the SERP (for example with rich snippets, breadcrumbs etc.) Filling the Knowledge Graph Schema.
Ah, don't blame me if the costs rise because there is a lot of work to do. We have introduced the focal point, even without talking about it directly: by simplifying the complex reasoning that the algorithms do to obtain a perfect semantic search, all the information we can add within the site helps the Hong Kong Telegram Number Data Googlebot to contextualise it in the right categories and can improve the user browsing experience. The better the contextualization, the better Google will evaluate the site. So. We have understood 2 things so far: SEO is a complex activity that not only involves optimizing code and content in technical terms but also in qualitative terms. The more information contained on the site, the greater and different Google's response and display in the SERP will be. As we have seen, the search engine spider can only read textual information and cannot (cannot yet, ed.) read the content of a photograph, for example, and interpret it.
Microdata is used precisely to help search engines perform this operation of interpreting non-textual data: we can "explain" each entity of the site (documents, images, videos) through a series of information defined by a shared code (see for example the schema.org website). Some definitions to understand better: Marking a document (marking): indicates the addition of notes and information to a document or to some of its parts so that it comes out enriched and other software (such as our friend Googlebot or its cousins) can identify its type. In particular, search engines can use markings as a precision tool to better target user searches. How do they use this information? For semantic search , pigeonholing the site into search categories with ever-increasing precision Through the refinement of the information in the SERP (for example with rich snippets, breadcrumbs etc.) Filling the Knowledge Graph Schema.
