Introduction

This article shows how to check content quality and trust at scale using Screaming Frog and AI, so you know what pages are weak and why.

What's the problem it solves?

Many sites have lots of content, but no clear way to tell which pages are low quality, untrustworthy, or just written for SEO. Manual reviews do not scale and guessing what Google wants is risky.

Quick Summary

The article explains how to audit E-E-A-T and content quality across many pages using Screaming Frog and the OpenAI API. The goal is to get clear scores and honest feedback for things like authorship, citations, originality, writing quality, and page intent.

You start by importing a custom prompt library into Screaming Frog, then crawl only the pages that matter to avoid wasting time and money. Each page is sent through multiple AI prompts that judge quality, effort, trust, and usefulness.

After the crawl, you export everything into Google Sheets or Excel to calculate average scores and spot patterns. This makes it easy to see where your content is strong and where it needs work, instead of relying on gut feeling.

Key Takeaways

• Mediocre content is a real business risk, not just an SEO issue
• E-E-A-T can be audited at scale with the right tools and prompts
• AI feedback works best when it is strict, specific, and consistent
• Scores alone are not enough, explanations show what to fix
• Crawling only key pages saves money and gives better insights

What to do

• Set up Screaming Frog with custom AI prompts for quality checks
• Crawl only important pages like blogs or main landing pages
• Export AI scores and comments into Google Sheets
• Calculate averages to find weak areas across your site
• Use AI again to summarize patterns and decide what to fix first

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