Category: Python for SEO

Although structured data are not a ranking factor, they contribute to harvesting most of the NLP machine learning models of modern search engines. A detailed and exhaustive implementation of schemas on valuable pages can have a positive impact on CTR and prompt Google to award your pages with attractive SERP features. However, sometimes auditing structured…

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Following the latest advancements in search algorithms propelled by NLP along with recent studies on SERP Annotations, Google appeared on the chase for the most complete result satisfying the search intent behind a query. The relentless evolution has been lately bred by the release of Core Updates targeting broader areas of a website. In turn,…

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The common image that we associate when hearing the term “entity” with respect to any Google search is a long bar appearing underneath the image search bar. These clustered boxes of “things” are better known as Entities, and they are usually identified by a process named Named Entity Recognition (NER). Fair enough, entities not only…

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Recently Google has been training its search ranking algorithms with machine learning models aimed to hone in on search results clustering performance and improve the understanding of human-like search queries. As a result, content strategists are changing their approach to content copywriting by adopting a view consisting of perceiving the World Wide Web as “Things”…

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Learn how to automate a Tech audit for a sitemap.xml with Python

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Back in August 2021, Google started tweaking a few meta tags as long as search intent was met. Although this might occasionally hit the nail on the head, most of the time that contributes to warding off one’s webpage overall visibility. Since the rewriting event, several powerful tools have been released in a bid to…

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