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2. Search engine optimization metrics - Wikipedia

   en.wikipedia.org/wiki/Search_engine_optimization...

   Domain Authority (DA), a website metric developed by Moz, is a predictive metric to determine a website's traffic and organic search engine rankings. Domain Authority is based on different link metrics, such as number of linking root domains, number of total backlinks, and the distance of backlinks from the home page of websites.

3. Keyword research - Wikipedia

   en.wikipedia.org/wiki/Keyword_research

   The process of keyword research involves brainstorming and the use of keyword research tools, with popular ones including Semrush and Google Trends. To achieve the best SEO results, it is important to optimize a website's content as well as backlinks for the most relevant keywords. It is good practice to search for related keywords that have ...

4. Website audit - Wikipedia

   en.wikipedia.org/wiki/Website_audit

   The website audit starts with a general analysis of a website aimed at revealing the actions needed to improve search engine optimization (SEO). Many tools offer recommendations on how to raise the website rankings in search that can include on-page and off-page SEO audits such as broken links, duplicate meta descriptions and titles, HTML ...

5. Search engine optimization - Wikipedia

   en.wikipedia.org/wiki/Search_engine_optimization

   Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [1] [2] SEO targets unpaid search traffic (usually referred to as "organic" results) rather than direct traffic, referral traffic, social media traffic, or paid traffic.

6. PageRank - Wikipedia

   en.wikipedia.org/wiki/PageRank

   The SERP rank of a web page refers to the placement of the corresponding link on the SERP, where higher placement means higher SERP rank. The SERP rank of a web page is a function not only of its PageRank, but of a relatively large and continuously adjusted set of factors (over 200). [46] [unreliable source?

7. Okapi BM25 - Wikipedia

   en.wikipedia.org/wiki/Okapi_BM25

   In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.