Dataset
SEO Audit Benchmark 2025

SEO Audit Benchmark 2025

Benchmark dataset for on-page SEO performance across 1000+ top-ranking websites.

Table of contents

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Key Takaways

Includes 10 core audit metrics: title tags, meta descriptions, headings, image alt text, and more.
Covers data from Jan 2025–Mar 2025 across 15 industries.
Pulled using top-tier SEO audit tools via API (Ahrefs, Screaming Frog, Semrush).
Use it to identify common on-page issues and optimize at scale.
Compare against SERP competitors across industries and regions.
Structured for SEOs, engineers, and content teams—ready to be fed into AI models or tools.

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Frequently Asked Questions

What’s included in this SEO audit dataset?

The dataset includes URL-level audit data: audit score, missing tags, word count, images, and performance signals.

How can I use this dataset?

Compare your pages vs benchmarks, train LLMs, or prioritize technical SEO fixes.

How was the data collected?

Data was extracted via SEO audit APIs across 1,000+ high-traffic URLs between January and March 2025.

Does this work for AI applications?

Yes. It's structured and labeled for fine-tuning SEO agents and ranking score predictors.

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