22 language models tested on 142 real-world SEO tasks across 6 categories.
Click any column header to sort. All models tested on identical input data.
| # | Model | Overall |
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The SEO LLM Benchmark tests language models on practical SEO tasks — not multiple-choice questions, but real challenges like generating robots.txt files, Schema Markup, meta tags, or classifying search intent.
Each answer is validated deterministically (robots.txt parser, JSON Schema, HTML validator, regex) or evaluated by an LLM-as-Judge for semantically variable outputs.
The benchmark uses a static snapshot — all models are tested against exactly the same input data. This guarantees fair, reproducible results that are not affected by website changes.
Tasks with variable output formats (e.g. redirect chain analysis) are evaluated by a LLM-as-Judge that checks semantic correctness regardless of format.