Dataset
Technical SEO Audit Dataset 2025

Technical SEO Audit Dataset 2025

A structured AI-ready dataset for auditing technical SEO issues on high-traffic websites.

Table of contents

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Key Takaways

Includes over 50k URLs across industries collected in Q1 2025.
Tracks crawlability, indexation status, core web vitals, and metadata accuracy.
Sourced from Screaming Frog, Google Search Console, and Lighthouse API.
Use for training AI models to detect optimization gaps.
Engineered for anomaly detection and SEO prioritization workflows.
Mapped to standard error categories: 404s, redirect chains, stale content.

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Frequently Asked Questions

What is this dataset used for?

To identify technical SEO issues and train AI models for site health scoring.

How was the data collected?

Crawled via Screaming Frog, verified with GSC and Lighthouse audits.

What types of issues are flagged?

Broken links, slow load times, missing tags, duplicate content, and schema errors.

Can I use this to benchmark my site?

Yes — compare by industry, load time, and crawl depth to find gaps.

Related Terms

SEO Tech Audit Benchmark 2025

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SEO Audit Benchmarks 2025

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SEO Audit Manchester — Data + Insights

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Audit SEO : Identifier, Corriger et Propulser

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