Free Semantic Validator for SEO Content

Measure the semantic proximity between an AI search prompt and your content. Get a clear 0–1 score: ≥0.6 safe to publish, ≥0.8 high alignment (rare). High scores mean ChatGPT, Perplexity, and Gemini are more likely to cite your page when users ask that question. Free, unlimited, no signup.

Enter your AI prompt + URL or text to score

✨Score Semantic Match

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What is a semantic validator?

A semantic validator measures how closely your content matches a specific AI search prompt — using the same vector-similarity math (embeddings + cosine similarity) that ChatGPT, Perplexity, and Gemini use when deciding which sources to cite. You enter the exact prompt your audience asks an AI, paste a URL or draft, and get a single semantic-proximity score between 0 and 1. The higher the score, the more likely an LLM will pull your page into its answer for that prompt.

How to use the semantic validator

Three steps.

(1) Pick the prompt you want your content to be cited for — the exact query a real user would type into ChatGPT or Perplexity (e.g. "best AI SEO tools," "how to automate sales workflows"). Specific beats generic. (2) Paste the URL or draft text you want to score. Works on published pages, polished drafts, or raw AI-generated content. (3) Read the score: 0 = unrelated, 1 = identical. Anything ≥0.6 is safe to publish. Anything ≥0.8 means high alignment — rare and a strong citation signal. Below 0.6 means rewrite before publishing.

Use cases

Score drafts before you publish

Run every draft through the validator before it ships. If the score for your target AI prompt is below 0.6, rewrite. If it's 0.6–0.8, ship and improve later. If it's above 0.8, you're in rare territory — that's a high-citation candidate.

Pick the right prompt to optimize for

Score the same content against 5–10 different prompt phrasings. The one with the highest score is the prompt your page is naturally aligned to — that’s where you have the strongest citation odds.

Refresh decaying AI traffic

Re-score the page against today's most-asked prompts. If it's now below 0.6, rewrite to match the new prompt phrasing your audience actually uses.

Audit competitor alignment

Score competitor URLs against your target prompts. The score gap tells you how much rewriting it'll take to compete — and which competitors are actually beatable.

QA AI-generated drafts

If you're using ChatGPT or Claude to draft content, score every output against your target prompt before publishing.

Build a prompt-coverage matrix

Agencies and content teams: score every key page against the top 20 prompts your audience asks AI.

FAQs

What do the score ranges actually mean?

The semantic-proximity score is between 0 and 1. Below 0.6 = unrelated; 0.6–0.79 = relevant; 0.8–0.94 = high alignment; 0.95+ = near-identical.

Is a high score a guarantee my page gets cited?

No. High semantic proximity is necessary, but not sufficient on its own. Factors include domain authority and overall semantic competition.

My page scored 0.45 — what should I do next?

A score below 0.6 suggests the content is too broad or unrelated. Fix by narrowing focus, adding relevant terms, and rewriting.

What's the difference between this and a keyword density checker?

A density checker measures term frequency, while the semantic validator measures meaning alignment with the prompt's intent.

Can I validate a draft before publishing? What about AI-generated content?

Yes — the validator scores drafts the same way as published pages. Score every draft to ensure it meets criteria before going live.