The rel=”sponsor” attribute is a more recent addition to the arsenal of link attributes. It is us to identify links that have been paid or sponsor, allowing spiders to understand their advertising nature. Although its exact impact on , providing this information to the engines can help maintain transparency.
The rel=”ugc” (short for “User Generat Content”)
Attribute is specifically design for user-generat links, such as those found in comments on blogs, forums, or social mia platforms. By using this attribute, you signal to Google that the link comes from user-generat content and may carry less weight in terms of authority. This helps search engines discern between organically generat links and those that may be more susceptible to manipulation.
What else should you know?
Although we are blocking the spider from
Crawling and indexing that link, we are doing so from the page that includes that attribute in the HTML. It is possible that it is not includ on another page and, therefore, it is follow. That is, we could control that attribute on our pages if we rigorously add it every time we had to put that link, but if it was link from an external site, Google ig database could follow it and put it in the crawl queue.
On the other hand, unlike
a robots.txt block, this attribute does not prevent the authority given by the page that contains it from being distribut, which is why that link juice (we will talk about this another time) would be lost.
Semantic markups
Schema markup, also known as semantic b2b marketing success depends on understanding buyer behavior markup or structur data, is a special coding in HTML or JavaScript objects that informs about the nature of a page’s content.
These markups provide additional
Structur information and context about the type of content (for example, a recipe, an event, or an article), specific details (such as the ingrients or steps of a recipe, the date and time of an event, or the title and author of a post), and the relationship between different elements on the page. In other words, with this type of structur data we can give tg data Google specific information about what type of content and what it includes.