Analyze EEAT Using AI

Understanding EEAT Analysis

EEAT stands for Experience, Expertise, Authoritativeness, and Trustworthiness, four key criteria that help determine the quality and credibility of online content. Many content creators and SEO professionals struggle to gauge how well their pages compare to competitors on these fronts. The Analyze EEAT app simplifies this process, offering an objective review of content across multiple sources to pinpoint areas needing improvement.

Building the "Analyze EEAT" App

This tool is designed with a multi-step process that starts by collecting content from your page and three competitor pages. Each page is scraped in full-text format, ensuring that every detail is captured for analysis.

Step 1: Scraping Content

Four separate scraping functions are used to collect full-text data from your page along with the three competitor URLs. This ensures that the entire content of each page is examined to provide a comprehensive view of the existing information.

Step 2: Topic Extraction

A Chat Model is then called to generate a numbered list of talking points extracted from all the texts. This step breaks down the numerous themes discussed across the pages, ensuring nothing is overlooked. The prompt is carefully worded to capture every topic, making sure all key talking points are identified.

Step 3: Topic Coverage Analysis

Another Chat Model is used to produce a JSON table that flags which topics are covered by each text. The table uses a simple check or cross symbol to indicate whether a topic is discussed in your page (YP) and the competitor pages (C1, C2, C3). This clear overview allows for a direct comparison across multiple sources.

Step 4: Detailed EEAT Evaluation

The final step involves a deep dive into the EEAT criteria. A Chat Model critically scores each text on aspects such as originality, comprehensiveness, insightful analysis, production quality, and more. The score, ranging from 0 to 10, provides a detailed benchmark on how well each page meets specific EEAT requirements. Lastly, a comprehensive report is generated with actionable recommendations for improving your page. These recommendations are specific, citing examples from competitor pages to offer a clear path to enhance your content.

Running the App at Scale

1. Head over to the Bulk Runs section on the Moonlit Platform dashboard.

2. Create a job by uploading a CSV file listing the URLs for your page and competitors.

3. Map the corresponding columns to match the required inputs for the app.

4. Start the job, and the tool will iterate over each row to perform a full EEAT analysis for every set of URLs.

Customizing the App for Your Needs

• Adjusting Topic Sensitivity: Modify the prompt in the topic extraction step to capture more nuanced or industry-specific talking points.

• Enhancing JSON Outputs: Customize the JSON table outputs by adding custom symbols or additional columns for more detailed insights.

• Refining Scoring Metrics: Tweak the evaluation criteria thresholds in the EEAT analysis to better reflect the unique aspects of your industry or content strategy.

• Integrating Additional Data Points: Consider incorporating extra competitor pages or additional content attributes for an even more robust analysis.

Get Started with Moonlit Platform

If you’re looking to gain detailed insights into your content’s EEAT performance and learn where you can improve, sign up for Moonlit Platform. Build your own apps or customize existing ones to fit your specific needs, and take advantage of our Bulk Runs feature to analyze content at scale. Start exploring the possibilities today.