Free LLM SEO Tool

LLM SEO (often called LLM optimization or generative engine optimization) is the practice of making large language models more likely to mention, recommend, and cite your brand. The mechanics differ from classic SEO. A model's answer draws on two layers: what it learned in training, which decides whether it knows your brand at all, and what it retrieves at answer time, which decides whether your pages get cited. You can influence both, but only if you can measure where you stand.

That measurement is what this tool gives you. It runs your prompt through GPT, Claude, and Gemini via their official APIs with retrieval enabled, then reports three things per model: brand mentions in the answer, citations of your domain, and your position when the answer is a ranked list. Each model fails differently, and the failure mode tells you what to fix. A model that never mentions you has no training-data association between your brand and the topic. A model that mentions you but cites competitors retrieves their content instead of yours when it grounds the answer.

The LLM optimization work that follows is concrete: publish citable pages with specific claims and data, keep entity signals consistent so models connect your name to the category, earn coverage on the third-party sources models already trust, and mark pages up so retrieval systems parse them cleanly. Our LLM visibility guide explains the retrieval layer, and the answer engine optimization guide walks through the publishing playbook step by step.

Then re-measure. LLM answers shift as models update and competitors publish, so a baseline without follow-up checks goes stale in weeks. The rank.ai platform automates that loop with daily sampling across your prompt set. For adjacent reads, the AI visibility checker frames the same check around your brand, the ChatGPT SEO tool isolates ChatGPT, the AI search visibility checker compares engines, and the AI Overview checker covers Google's AI answers.