Web Interface for Identifying SEO Success Factors
Enhance small business digital presence by developing a web interface to identify SEO success factors using web crawlers to analyze webpages and provide feedback for optimization. Utilizing technology such as Visual Studio Code, Python, AWS, and MySQL for efficient data processing and analysis.
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Presentation Transcript
A WEB-INTERFACE TO IDENTIFY SEO SUCESS FACTORS FOR SMES Daisy Alondra Cortez, Nathaly Taiz Leon, Sydney Taylor Jue, Tiara Francis Smith
SEOs SEO stands for search engine optimization Usually are in the form of readying content for search engine indexing If a webpage has little to no indexable content, it will not appear on search engine results
ABSTRACT Companies do not take full advantage of SEOs To develop a web interface that would interest small business to increase their digital presence would remedy that issue We would research the various SEO success factors The interface would be using web crawlers to analyze countless webpages The interface would also provide feedback to companies for them to adjust their webpages and make them more well known
WEB CRAWLERS Web crawlers are bots that index numerous websites and downloads their data Commonly used with the most popular search engines Owners that block the web crawlers from their webpages risk the fact that their webpage will not appear on the search engine In the sense of our project, we will be using web crawlers to download data from the websites that appear at the top of search results We will then plug this data into our comparison tool for analysis
SCOPE/DELIMITERS Data will be limited to publicly available sites Data will be obtained from other competing businesses Complex sites will be avoided They require additional web crawling tools
COMPARISON TOOL After we received data from the web crawler, our comparison tool will analyze the SEO success factors of the top results. Using this information, we can then pit it against a website of our choosing for a direct comparison The tool will analyze the strengths and weaknesses that websites have It will also make recommendations
TECHNOLOGY Visual Studio Code Python AWS (Amazon Web Services) MySQL
