HomeHelp CenterLexical Diversity (TTR): Vocabulary Richness for AI Trust
    Help CenterMarch 22, 2026

    Lexical Diversity (TTR): Vocabulary Richness for AI Trust

    How vocabulary variety signals original, high-quality content to AI systems.

    What it measures

    Type-Token Ratio (TTR) measures your vocabulary richness — the ratio of unique words to total words. Higher diversity signals original, naturally-written content rather than keyword-stuffed or template-generated text.

    Why it matters for AI

    AI systems use lexical diversity as a quality signal to distinguish human-quality content from thin, repetitive pages. Content that uses varied vocabulary is perceived as more natural and authoritative. Very low TTR often indicates keyword stuffing or auto-generated content, which AI deprioritises.

    TTRScoreWhat it signals
    < 25%LowRepetitive — may signal low-quality or auto-generated content
    25–40%AverageStandard for long-form content
    ≥ 40%GoodRich vocabulary — natural, original writing

    How to improve

    1. Use synonyms — Avoid repeating the same terms; vary your word choices
    2. Write naturally — Focus on communicating ideas rather than optimising for keyword density
    3. Vary sentence structure — Mix short punchy sentences with longer explanatory ones

    💡 Quick win

    Search your text for your three most-repeated non-common words. Replace at least half of their occurrences with synonyms.

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