Free LLM SEO Checker

LLM SEO is the discipline of optimizing content so Large Language Models (ChatGPT, Claude, Perplexity, Gemini) preferentially cite your page when they generate answers. The signals that matter are different from classic SEO: LLMs care less about backlinks and keyword density, more about whether your HTML is clean enough to parse and whether your content offers self-contained, fact-dense, citable chunks.

Our checker fetches your page server-side, runs the same regex-based HTML parser we use across our AEO/GEO audit family, and renders the result as two side-by-side axis scores, each its own primary metric, not subsections of a unified report. The Technical axis covers HTML cleanliness (content-to-code ratio), heading hierarchy, and structured-data coverage. The Content axis covers direct-answer presence in the opening paragraph, definitions and list/table usage, citations and authority signals, and entity density. Each axis gets a single 0 to 100 score and a verdict line; each sub-signal under it gets its own sub-score (Strong / Acceptable / Weak / Critical). Below the two axis cards, a thin summary strip shows the combined LLM SEO score for the page overall, and the ranked top-10 fix list is grouped by axis so you can hand technical fixes to dev and content fixes to your editor with zero re-sorting.

For SEO Teams

• Quickly diagnose whether a page's LLM SEO problems are mostly technical or mostly content-side
• Hand a ranked fix list to your developer (technical fixes) and your editor (content fixes) in one report
• Track the two axis scores separately as you ship changes

For Content Teams

• See exactly which content signals make a page citable by LLMs (direct answer, definitions, sources)
• Get specific recommendations: where to add a 40 to 120 word direct answer, which schema types matter most, what entity density to aim for

Why Use Our LLM SEO Checker

• Two co-equal axis scores: Technical and Content each get their own primary score and verdict, side-by-side. Most LLM SEO tools collapse everything into a single number; ours separates them because the fixes belong to different teams.
• Axis-grouped fixes for clean team handoff: The top-10 fix list is bucketed under "Technical fixes" and "Content fixes" headers, so you can paste each list into the right ticket without re-sorting.
• Free, no signup: No account, no API key. Server-side fetch + regex parse.
• Ranked fixes with concrete instructions: Each issue includes the exact change to make (target word counts, schema type names, paragraph length ranges).