The Inner Link Suggestion Tool by M.R enhances internal linking strategies on blog article pages by suggesting recommended articles and keywords. This tool, updated on January 26, 2024, aims to improve the visibility and ranking of blog content by providing tailored linking suggestions based on CSV data and analyzed blog article URLs. Through leveraging Python and browser functionalities, users can optimize their internal linking structure for better search engine optimization results, ultimately driving more traffic and engagement.
How to use
Send CSV data and analyze blog article URLs to begin the analysis.
Features
- Enhances internal linking strategies for blog articles
- Suggests recommended articles and keywords for better SEO optimization
- Utilizes Python and browser tools for effective analysis and suggestions
Updates
2024/01/26
Language
Japanese (日本語 (にほんご／にっぽんご))
Prompt starters
- CSVデータと分析するブログ記事のURLを送って下さい。分析を開始します。
Tools
- python
- browser
Tags
public
reportable