Category: Python for SEO
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Build your SERP Similarity Tool with Python
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Search Intent can be a bit of a beast to identify when it comes to search queries sharing the same semantic meaning. Sleeping on identifying untapped search intent nuances sometimes can spark an unpleasant snowball effect on your SEO strategy that in […]
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Semantic Market Analysis: a Blue Ocean Strategy for SEO
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As NLP and machine empower search engine algorithms, SEOs are recommended to learn a way to gain access to them to improve entity relationships. As I covered in my post inspecting the evolution of Google Search through the algorithms, all of this […]
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How to Benchmark Entity Opportunities with Google NLP
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One of the great benefits of using state-of-the-art NLP models is that it enables you to compare several entities between pages as plain natural language. I have already covered how NLP and NLU can impact SEO in another post which is why I’m not […]
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Drill your Content Strategy on Topic Modelling with Python
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On August 25th, Google announced the fortnightly rollout of the “Helpful Content Update” posing several questions on how SEO will approach content strategy. Given that Google is not going to accept content devised to please search engines, it is likely that in […]
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🤓How To Automate Keyword Research with Google Autosuggest
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Keyword research is the most popular SEO task as well as the most handed over to new starters. As the gist behind keyword research is a piece of cake for anyone, Junior SEOs take on the honours and underlying burdens of such […]
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📌Using Keyword Density for Topical Coverage and Entity Discovery
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For years SEOs have been calling the death of keyword density blaming it all on those who still dared to believe the myth. Though, few SEOs know that keyword density in a copy text is still a thing, especially when it comes […]
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📈How to Bulk Audit Structured Data with Python
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Although structured data are not a ranking factor, they contribute to harvesting most of the NLP and NLU machine learning models of modern search engines. A detailed and exhaustive implementation of schemas on valuable pages can have a positive impact on CTR […]
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🔍How To Define Search Intent to GSC Queries with Python
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Following the latest advancements in search algorithms propelled by NLP and NLU 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 […]
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💕Entity and Sentiment Analysis in NLP with Python
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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 […]
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How to Kick Off Entity Research with Tokenization in NLP
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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 […]
