Category: Python for SEO
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Duplicate Content Audit with a taste of Analytics with Python
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Running a duplicate content audit is often an overlooked task. SEO professionals are affected by a blend of confirmation biases and attentional biases, as part of a brain’s tendency to focus on information that supports our beliefs and ignore information that contradicts […]
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Running a Canonical Audit in Python
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When indexing a site, Google needs to determine the primary content of each page. If Google finds multiple pages on the same site that seem to be the same, it chooses the page that it thinks is the most complete and useful, […]
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Broken Backlinks Audit on 4xx Pages with Python
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Sometimes marketers and SEOs underestimate the different processes involving data parsing undertaken by tools. Data are processed by adopting several different methodologies. One of the first things to note is third-party tools (e.g Screaming Frog) would read the information in real-time and […]
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Quick Page Titles Audit with Python
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When carrying out an SEO audit for a large website, content tagging checks normally take away plenty of time. Optimizing title tags and meta descriptions are the basics of SEO. In fact, there are many tools and methods already doing the job […]
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Core Web Vitals Audit and Automation with Python
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Core Web Vitals measure page experience signals to ensure an engaging user experience for search users. Each of the Core Web Vitals represents a distinct facet of the user experience, as they measure Field data reflecting the real-world user experience on a […]
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How to Measure Crawl Efficacy in Python to debunk the Crawl Budget Myth
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The SEO industry is often plagued by biased myths due to the complexity of the discipline. “Crawl budget” is one such myth that prompts SEOs to make different assumptions depending on the size of a website. Moreover, its definition has some limitations […]
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How to Measure the Impact of Meta Descriptions on Organic Rankings
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SERP features are influenced by the search intent concealed within a search term. There are thousands of snippets the search engines generate that are retrieved from HTML elements, including descriptive information. As a result, meta tags such as title links and meta […]
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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 […]
