Semantic Keyword Density & N-Gram Visualizer
Deep text analysis for 1-word to 4-word keyphrases, density percentages, and visual keyword highlighting.
| Keyphrase / N-Gram | Frequency | Density (%) | Density Visual Distribution |
|---|
Live Text Density Heatmap (Top Keywords Highlighted)
What is the Semantic Keyword Density & N-Gram Visualizer?
The Semantic Keyword Density & N-Gram Visualizer is a content analysis tool that computes term frequency and keyword density percentages for 1-word (unigram), 2-word (bigram), 3-word (trigram), and 4-word (quadgram) phrases. It flags aggressive keyword stuffing, filters non-informative stopwords, and provides real-time in-text visual highlighting to ensure natural linguistic flow.
Key Capabilities & Features
Multi-Gram Extraction (1 to 4 Words)
Discovers long-tail phrases and topical entities beyond isolated individual words.
Stopword Filtering Engine
Filters 120+ grammatical filler words (articles, prepositions, conjunctions) to highlight true topical subject matter.
Keyword Stuffing Alert Warnings
Automatically flags single terms exceeding a recommended 3.5% density threshold to avoid Google algorithmic spam penalties.
Interactive In-Text Heatmap
Color-coded highlighting illustrates where your primary keywords are clustered within sentences and paragraphs.
What is the Ideal Keyword Density for SEO?
Modern search engines like Google use semantic understanding (BERT, RankBrain, and Gemini) rather than strict keyword counts. However, maintaining balanced term frequencies remains critical:
- Primary Target Keyword: Between 1.0% to 2.5% density.
- Secondary & LSI Keywords: Between 0.5% to 1.5% density.
- Over-Optimization Danger Zone: Densities above 3.5% to 4.0% frequently trigger helpful content demotions.
Frequently Asked Questions (FAQ)
What is an N-Gram in SEO? ▼
An n-gram is a continuous sequence of n items from a given sample of text. A 1-gram is a single word ("seo"), a 2-gram is a two-word phrase ("seo tools"), and a 3-gram is a three-word phrase ("free seo tools").
How does keyword density affect AI search engines like ChatGPT and Perplexity? ▼
AI answer engines favor high conceptual depth and clear factual statements over repetitive keyword occurrences. A moderate density paired with clear definitions ensures maximum citation authority.