A Machine Learning Python-Based Search Engine Optimization Audit Software
نویسندگان
چکیده
In the present-day digital landscape, websites have increasingly relied on marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic website receives directly determines its development and success. As such, owners frequently engage services of SEO experts to enhance their website’s visibility increase traffic. These specialists employ premium audit tools that crawl source code identify structural changes necessary comply with specific ranking criteria, commonly called factors. Working collaboratively developers, implement technical await results. cost purchasing or hiring an specialist typically ranges thousands dollars per year. Against this backdrop, research endeavors provide open-source Python-based Machine Learning software tool general public, catering needs both specialists. analyzes top-ranking for given term, assessing on-page off-page strategies, provides recommendations performance surpass competition. yields remarkable results, boosting average daily organic from 10 143 visitors.
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ژورنال
عنوان ژورنال: Informatics (Basel)
سال: 2023
ISSN: ['2227-9709']
DOI: https://doi.org/10.3390/informatics10030068