LLM SEO is optimizing a page so large language models can read, understand, and quote it. In our engine it maps to the AI Visibility dimension: extractable HTML, answer-style content, type-matched schema, and specific facts — the inputs a model can actually use.

Why does server-rendered HTML matter for LLMs?

If your key content only appears after JavaScript runs, many crawlers and model pipelines never see it. Our engine flags thin or JS-dependent pages because content an LLM can't extract from the HTML is effectively invisible to it.

Can you guarantee an LLM will recommend my page?

No. We grade readiness — how readable and quotable the page is. Whether a model surfaces or recommends you depends on the engine, your authority, and the prompt. We frame this as likelihood, never as confirmed or guaranteed AI visibility.

LLM SEO Checker

LLM SEO is about making a page legible to the large language models behind assistants like ChatGPT, Gemini, and Perplexity. This checker grades your live page on the on-page signals those models depend on when they read and reuse content — then ranks the fixes that matter most.

Models can only work with what they can extract. The engine checks whether your important copy is in server-rendered HTML rather than JavaScript-only, whether your headings pose real questions with direct answers, whether the page states specific facts a model can quote, and whether your schema and single clear entity tell the model what the page is and who wrote it. The result is a readiness grade — a measure of how machine-readable and quotable the page is, not a promise that any model will surface it.

What this audit checks

✓Server-rendered, extractable text (~120+ words) rather than JavaScript-only content
✓Clean heading structure: one H1, descriptive H2s, questions phrased the way users ask them
✓Specific, quotable facts (numbers, prices, percentages, counts) over vague claims
✓JSON-LD schema matched to the page, plus FAQPage where Q&A content exists
✓Declared <html lang> and entity schema so a model knows the language and the source

Who it’s for

SEOs, content teams, and founders preparing their pages for an LLM-driven search and discovery landscape.

You’ll get a Revenue Grade, all nine subscores, and your top fixes free — with the full ranked plan and downloadable report available on upgrade.

See what’s included

FAQ

What is LLM SEO?: LLM SEO is optimizing a page so large language models can read, understand, and quote it. In our engine it maps to the AI Visibility dimension: extractable HTML, answer-style content, type-matched schema, and specific facts — the inputs a model can actually use.
Why does server-rendered HTML matter for LLMs?: If your key content only appears after JavaScript runs, many crawlers and model pipelines never see it. Our engine flags thin or JS-dependent pages because content an LLM can't extract from the HTML is effectively invisible to it.
Can you guarantee an LLM will recommend my page?: No. We grade readiness — how readable and quotable the page is. Whether a model surfaces or recommends you depends on the engine, your authority, and the prompt. We frame this as likelihood, never as confirmed or guaranteed AI visibility.

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Results are automated guidance, not guarantees of revenue, rankings, or AI visibility. See our AI Output Disclaimer.