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Enter any URL and see the words and phrases that dominate the page — the top 1-, 2-, and 3-word terms with exact counts and density percentages, plus a flag on anything repeated often enough to read as keyword stuffing.
Keyword density is how often a word or phrase appears on a page relative to its total word count, shown as a percentage. It helps gauge whether a page is naturally focused on a topic or over-optimized — stuffing the same term reads as spam to search and AI engines.
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What Meev is
Meev tracks where your brand appears across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Google AI Overviews, and Google AI Mode, then shows what to fix, publish, or pitch next to improve AI visibility.
The path to getting cited
01 · Your domain
Meev reads your existing pages, topics, and Google Search Console signals to learn what your site is about and already ranks for: the foundation for every gap, draft, and citation that follows.
Step 1
Enter a URL
Any public page — yours or a competitor's.
Step 2
We read the visible text
The page is fetched once and stripped to the words a reader (or an engine) actually sees — no markup, no scripts.
Step 3
Phrases are counted
Top single words, 2-word, and 3-word phrases are ranked with counts and density percentages.
Step 4
Spot over-optimization
Any single word above 3% density with heavy repetition gets a high-density flag so you can fix it before engines notice.
There is no magic ratio that ranks a page, but there is a ratio that hurts one. When a single word climbs past roughly 3% of all text, the page stops sounding like a person wrote it — and both search engines and human readers notice. Pages that repeat a target term unnaturally tend to be demoted for it, not rewarded. The fix is almost always to say the same thing with synonyms and related phrasing.
Single-word counts tell you which terms repeat; 2- and 3-word phrases tell you what the page is actually about. AI engines build their understanding of a page from these recurring n-grams, so if your top phrases don't match the topic you want to be cited for, the page is sending the wrong signal regardless of its title tag.
Run the top-ranking page for your target query through this checker and you'll see the exact terms and phrase patterns it leans on. That's not an invitation to copy — it's a map of the semantic neighborhood engines expect a page on that topic to live in. Cover the same concepts in your own words and you close the relevance gap.
With Meev
Manually counting word frequencies after the fact is fixing the problem at the wrong end. Every article Meev generates passes a quality gate that checks for unnatural repetition before publishing — keyword coverage without the stuffing.
Roughly 0.5–2.5% for your primary term. There's no exact ratio engines reward, but there's a clear range where text reads naturally. Once a single word climbs past 3% of all words on the page, it starts reading as keyword stuffing to both readers and engines.
Not as a positive signal — modern engines evaluate topical relevance semantically, not by counting repetitions. But it still matters as a negative signal: pages with unnaturally high repetition of a target term can be demoted for over-optimization. Density checking today is about staying out of trouble, not gaming a ratio.
An n-gram is a sequence of n consecutive words — 'keyword density' is a 2-gram, 'free keyword density checker' contains 3-grams. Multi-word phrases reveal the page's real topic far better than single words do, because they capture how concepts are actually expressed. If your top 3-word phrases don't match your target topic, your content is off-message.
AI engines extract meaning from phrase patterns and surrounding context, not raw counts. Repeating a term doesn't make them weight it more — covering the concept thoroughly with related vocabulary does. Heavy repetition can actually hurt extraction, because stuffed text is lower quality text, and AI engines prefer to cite pages that read like authoritative, natural writing.
Replace repeated instances of the flagged term with synonyms, pronouns, or rephrased sentences — keep it in the title, H1, opening paragraph, and a couple of natural mentions, then vary everything else. Reading the page aloud is the fastest test: if a word sounds hammered, it is. Re-run the check after editing to confirm the density dropped into the healthy range.
The single-word list filters out roughly 60 common English stopwords so the results show terms that actually carry meaning. Phrases keep stopwords inside them ('best of breed' stays intact) but phrases made entirely of stopwords are dropped.
Meev tracks your visibility across every major AI search surface and publishes quality-gated content that earns citations — automatically.
7-day free trial. Cancel anytime.
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