Keyword Difficulty: Quality Thresholds and Predictive Ranking of Search Engines - SEO Case Study

The questions that are answered in the "Keyword Difficulty SEO Case Study" video are below. - Can a small website take traffic from global authorities? - Can a small Topical Map be good enough to take traffic from big websites? - How to outrank the main authoritative sources and websites? - How to create E-A-T Signals with authoritative and algorithmic authorship? - Why is keyword difficulty a misleading metric? - What should be used instead of keyword difficulty? Definition of Keyword Difficulty: Keyword difficulty is a metric from Ahrefs and SEMrush used to describe the ranking possibilities for a specific web page. Definition of Ranking Difficulty: The ranking difficulty is another name for the keyword difficulty with a broader aspect. Rather than focusing on a specific keyword, it focuses on broader aspects. Why is Keyword Difficulty a Misleading Metric? Keyword Difficulty is a misleading factor because it doesn't provide search engine understanding, or search engine communication. Since semantics and semantic SEO are more important for overall rankings and authority signals, it is hard to show a keyword difficulty metric. The better option is Quality Threshold. What is Quality Threshold? The quality threshold involves a quality score to be exceeded for being ranked for certain queries in the main index, rather than a supplemental index. Being served and being indexed are not the same thing. What is Relevance Threshold? The relevance threshold and quality threshold are not the same things. A web page can exceed the relevance score, but it might not be quality at all. The relevance threshold should be exceeded to be a candidate; the quality threshold should be exceeded to be a representative web page for the other candidates. Does Google consolidate the ranking signals on representative web pages and sites? Yes, Google consolidates the ranking signals on representative web pages and sites. Rather than ranking and sorting all of the individual web p