Creating an effective article outline can be a time-consuming process, but with the help of Google entities and GPT-4, it can now be automated. This guide explains how to use web scraping and Google’s Knowledge Graph to analyze a well-ranking article for entities and create an outline that contains the key ingredients needed for ranking.
The first step is to define the keyword the article will rank for and the well-ranking article to be used as inspiration. Then, necessary libraries must be installed, and authentication is set up for OpenAI and Google Knowledge Graph.
Next, the functions for scraping, analyzing, and generating content are created using libraries such as BeautifulSoup, Google Cloud language_v1, and OpenAI. These functions are then used to scrape the webpage, extract entities, and generate an article outline using GPT-4.
To generate the prompt for the article outline, entities are added to the query, and with a single command, a detailed outline is available. Additionally, using GPT-4, a summary can also be generated for the article.
It is important to keep in mind that salience scores are used to determine the importance of entities to the article, not the keywords.
Overall, using Google entities and GPT-4 to create article outlines is an effective way to automate the tedious task, saving time and effort while ensuring a thoroughly optimized article.
