How to assess the EEAT of a URL with AI
Have you ever felt insecure about the quality and reliability of content produced by a contributor or writer?
You are not sure if what you have published on your website would pass the filter of Google’s quality raters.
This is where the concept of Expertise, Experience, Authority and Trustworthiness (EEAT) comes into play. Evaluating the EEAT of a content is a crucial task to guarantee credibility.
And above all to ensure the positioning of a URL or domain in search engines.
But how is the EEAT evaluated?
It is certainly not simple, and Google has a whole manual dedicated to this topic for its human qualifiers.
Well, this is where our Google Colab script and Artificial Intelligence (AI) come in to help.
Thanks to it you will be able to use Google Colab and AI to evaluate the EEAT of any URL.
Even multiple URLs at the same time.
Our Google Colab script will provide you with a final score, an explanation of the evaluation and key suggestions for improving the quality of the URL in question.
This is not only great for optimizing SEO content, but also allows you to meet the high quality standards of Google’s quality raters.
So, let’s dive in and find out how to use Google Colab and AI to evaluate the EEAT of online content.
Explanatory notes before we start:
-EEAT stands for Expertise, Experience, Authoritativeness and Trustworthiness, which are important factors when assessing the quality and trustworthiness of online content.
-Google Colab is a cloud-based platform that allows users to run Python code and perform data analysis with various tools and libraries.
-This article assumes that the user has basic knowledge of Python programming and web scraping skills.
The importance of assessing EEAT
Evaluating the EEAT of a URL is essential to ensure that the website content is trustworthy and credible.
It helps to better rank the website content in search engines, as search engine algorithms prioritize websites that have a higher EEAT score.
It also helps establish the website’s reputation and credibility among users, leading to increased traffic and conversions.
Therefore, it is essential to consider this factor, especially in YMYL niches, as it often goes unnoticed.
Key ingredients: What you need to Evaluate the EEAT of a URL
Assessing the EEAT of a content or URL can be a long and complicated process.
Even for an experienced professional.
Here is a very simplified process on how to perform this task:
1. Determine the subject of the content
The first step in assessing the EEAT of a URL is to determine the subject of the content. It is essential to ensure that the content matches the niche and experience of the website under analysis. Which is not always easy, especially if you are not an expert in the field.
2. Analyze the quality of the content
The next step is to analyze the quality of the content. This includes assessing grammar, spelling and punctuation, making sure that the content is easy to read and understand, and checking the accuracy and completeness of the data or claims made.
3. Verification of reliable sources or "factuality"
Following this point, it is necessary to check references to authoritative sources. This step is fundamental to establish the credibility of a website’s content. It is essential to ensure that the website cites authoritative sources that are relevant to the subject of the content.
4. Assess the overall reputation of the website
The reputation of the website is a crucial aspect of its reliability. It is essential to assess the website’s reputation by looking for reviews, ratings, and testimonials from other users. It also helps to check who the authors or team behind the project are. Biographies, qualifications, publications, etc.
As you can see, this is an expensive and time-consuming process, especially if you have to analyze numerous projects or URLs.
However, with the help of AI, this has become more accessible.
Below are some steps to assess the EEAT of a URL with AI:
How to evaluate the EEAT of a content with artificial intelligence
The truth is that with our script it is really easy.
All you need to do is select the URL you want to evaluate, enter it in the Google Colab along with your OpenAI API Key and click the button to process the information.
At that point, our prompt:
Generated by Álvaro Peña de Luna, and adapted by Luis Fernández, will work its magic.
And it will give you back:
- A score from 1 to 10, with 10 being the maximum score.
- Explanation of the score.
- Several suggestions for improvement for each URL analyzed by the Script.
- Up to 3 main entities of the text.
- An H1 heading
- And a meta title suggestion for SEO
In this way, you will have a list of URLs with their EEAT score and a series of implementations to optimize the content.
Script functions for assessing the EAT of a content
In this script, we are going to work with the usual libraries, for example: OpenAI, or ChatGPT.
In addition, we will also load the BeautifulSoup library, which is perfect for its size and ease of use to scrape static websites.
If you need to analyze dynamic content to scrape the URL, we would have to move on to simulating the work of the browser. For this you need to load the Selenium libraries, a Pupity or similar that you will have to load in the Colab.
We only recommend you do this if you know some Python and know how to add it to the Colab code we have prepared.
In any case, we have also used a filature, which allows us to easily extract some content directly from the HTML of a page, this is not so common, but in this case it is very useful, and you can use it to your advantage.
Finally, the Colab also adds a TickToken, which is explained in the video as having advantages over other AI developments, as it is very useful, and that’s why we wanted to mention it here.
In short, the script performs a series of very specific tasks that allow us to analyze and evaluate the content of the URL we provide it with.
Running the script in Google Colab
At this point, we have prepared an explanatory video to prevent you from getting lost during the execution of the Colab.
You can watch it right here:
In this video, Luis explains each step in detail and, in addition, you will learn about the lines of code that you can modify to adjust different parameters according to your needs.
If you already have experience in this kind of environment, you don’t need to watch the video.
Just install the necessary dependencies and then:
- Enter your API key
- Click run
- Paste the URL where Colab asks for it.
It’s as simple as that.
Download Google Colab and analyze the authority of your own content
This is the script we used in the previous video: Click here.
By using the script on the URL, you will get some good ideas to improve the EAT of your page.
In addition, it is possible to adapt the code to analyze several tens or hundreds of URLs at the same time, which will essentially allow you to do two things:
- Get a list of scores for each URL that you can use as criteria to prioritize your work.
- Access customized recommendations to improve the EAT for each URL.
This is especially useful if your project is focused on one of Google’s “YMYL” niches, and you need a quick review of the quality of your content.
Keep in mind that Google itself uses human evaluators to do this job.
And that what we are sharing with you is done in an automated way.
A small step forward.
We recommend that you value our script as an input tool, or template that you can adapt, extend, and take advantage of for your specific needs depending on the project to be analyzed.
With a little imagination, you will be able to speed up tasks and processes that until recently took months.
How can AI help in assessing E-A-T?
As search engines continue to prioritize user satisfaction, the evaluation of a website's experience, authority, and trustworthiness (E-A-T) has become a crucial aspect of search engine optimization (SEO).
E-A-T determines the level of trustworthiness of a website's content and is an important ranking factor for search engines.
Especially to avoid ranking content of dubious veracity that can have a real negative impact on people's lives.
How can artificial intelligence be used to assess the EEAT of a URL?
AI tools can help assess the EEAT of a URL content, set of URLs or an entire domain by analyzing the language, subject, structure, and other content factors that influence its credibility.
Some of the reviews that can be performed by AI applied to EEAT in a more or less automated way include:
- Reviewing compliance with Google's E-A-T Guidelines
Google's E-A-T Guidelines are a set of standards that websites must follow to establish their credibility and trustworthiness. The guidelines include several factors that determine a URL's EEAT score, such as the expertise of the content creators, the quality of the content and the reputation of the website.
- Checking user reviews on review websites
Trustpilot is a platform that allows users to leave reviews and ratings of companies. The same is true for many other services that are used to rate hotels (Booking), software (G2, Software Advice), jobs (Glassdoor, Indeed), e-commerce (Trustpilot), and so on.
AI can help gather these scattered pieces of information to assess the reputation of a website and its content, also analyzing comments on the products and services of the company in question.
How accurate is the Google Colab script?
The Google Colab script is a powerful tool that uses AI to evaluate the E-A-T of a URL.
To use the script, you need to configure Google Colab and install the necessary libraries.
The script extracts the characteristics of the URL and trains a model to predict a specific E-A-T score based on our criteria and own experience.
You can add or enhance the prompt with your own criteria to strengthen its robustness.
Using AI to evaluate E-A-T can save time and effort while improving the ranking and credibility of your website.
The Google Colab script is accurate, fast, and free.
What are the limitations of using artificial intelligence to assess EEAT?
There are several limitations to using artificial intelligence (AI) to assess the EAT (Expertise, Authoritativeness, Trustworthiness) of a URL.
Here are some of the most notable ones:
- Lack of context: AI algorithms may not be able to fully understand the context in which a piece of content was created or published. For example, they may not be able to differentiate between an academic article and a blog post, which could affect their assessment of the content's authority and expertise.
- Bias: AI algorithms can be trained on biased data, which can lead to biased results. For example, if an AI algorithm is trained on data that predominantly represents a particular viewpoint, it may have difficulty accurately evaluating content that challenges that viewpoint.
- Limited understanding of human behavior: AI algorithms may not be able to fully understand human behavior, such as the motivations that lead someone to create or share content. This can impact their ability to accurately assess the trustworthiness of particular content.
- Limited ability to verify information: Although major improvements are expected in this area for the time being, AI algorithms may not be able to accurately verify the information presented in a piece of content. This could lead to inaccurate assessments of the content's expertise and authority.
- Lack of transparency: Some AI algorithms may not be transparent about how they have arrived at their EAT assessments. This can make it difficult for users to understand why a particular piece of content has been deemed more or less trustworthy, authoritative or expert.
In general, while AI can be a powerful tool for assessing the EAT of a piece of content or URL, it is important to be aware of these limitations and use AI in conjunction with other approaches to ensure the most accurate and reliable assessment possible.
Or try to address them by improving each of the indications in the submitted prompt.
How long does it take to evaluate the E-A-T of a URL using the Google Colab script?
The truth is that it only takes a few seconds or minutes to present the results once the script has been executed. In addition, not only do you get a score, but we also provide you with an explanation and several suggestions for improving the score.
If you compare this to a manual review, you will realize how invaluable what we have just shared with you is.
Is the use of the Google Colab script free of charge?
The use of the script is free of charge from our side. But it is associated with the use of your OpenAI API, which is not free.
Thus, if you run the code we have provided you with, a number of tokens will be consumed from your account. Specifically, consumption is limited to 5,000 characters, or 776 tokens.
However, for the URL in the video example, we have consumed up to 1353 tokens.
Translated into English, that's one 0.00027 dollars.
It is not a large amount, but if you repeat this process several times or upload numerous URLs in Excel, the cost will multiply proportionally.
Keep this in mind.
Evaluate the EEAT of your website with the help of artificial intelligence!
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