Posted 8 hours ago8 hr comment_12374 Claude Sonnet 3.7 is the top-performing large language model (LLM) – it outperforms competitors like Google’s Gemini, Meta’s Llama, and X’s Grok. That’s according to SEO agency Previsible’s new AI SEO Benchmark report. By the numbers. Claude Sonnet 3.7 “performed the best across the board,” earning an 83% score. But that score fell short against human SEOs (who scored 89%). LLMs averaged: 85% on content tasks. 79% on technical SEO. 63% on ecommerce SEO. Here’s how the other language models scored: Perplexity: 82% Gemini 2.5: 81% ChatGPT 4o: 79% ChatGPT o3-mini: 78% Copilot: 78% Deepseek: 78% Gemini 2.0 Flash: 71% Llama 4: 71% Grok 3: 71% Why we care. AI is getting better at handling various routine SEO tasks (e.g., content generation, keyword mapping). However, the real value in SEO comes from human expertise: strategic planning, technical execution, cross-discipline collaboration, and creative problem-solving. Relying too heavily on LLMs could expose brands to costly SEO mistakes and search visibility. Persona helps. One interesting finding was that adding a persona to a prompt (e.g., “you are an SEO expert”) improves performance by 2.8%, on average. What doesn’t help. Allowing LLMs to use web search resulted in 3.2% worse performance on average. Also, deep research resulted in 5.7% worse performance, on average. About the data. Previsible created a 50-question SEO test set covering key categories like content, technical SEO, and ecommerce. Each question had objectively correct answers based on established best practices and was independently scored by multiple SEO experts to ensure consistency. The benchmark measures accuracy – so an 83% score means a model answered 83% of questions correctly. All models were tested across different modes (e.g., with and without SEO personas, web search access) to evaluate how various features impacted performance. Between the lines. The core flaw of using LLMs for SEO? AI is probabilistic – it predicts, it doesn’t know. “Until [models] are 99%+ reliable, it’s impossible to rely too heavily on them. Your best bet is using them for what they’re good at – like building content briefs or identifying internal link opportunities using embeddings,” according to David Bell, Previsible SEO co-founder. What’s next. Previsible plans to update its AI SEO Benchmark here. The report. Leaderboard Launch: Previsible’s New AI SEO Benchmark View the full article
