Keyword Density Cloud
Visualize your content's DNA. Spot keyword stuffing and ensure your core topics dominate the page.
How this Keyword Density Cloud Works
This tool breaks down your content into single words (Unigrams), two-word phrases (Bigrams), and three-word phrases (Trigrams). We apply a "Stop Word" filter to remove common words like "the", "and", "is" to reveal the true topical core of your page.
- N-Gram Analysis: We find repeated phrases, which are crucial for "Entity recognition".
- Density Calculation: We measure how often a word appears relative to the total word count.
- Weighting: Larger words in the cloud represent higher frequency.
Why it Matters for GEO
Keyword Stuffing
If your main keyword appears more than 4-5% of the time, it looks unnatural to Google and AI. This tool highlights "Over-optimized" terms in red so you can lower their density.
Topic Authority
An AI determines what your page is about by looking at the clusters of related words (Semantic SEO). A healthy cloud has a diverse mix of related terms, not just one keyword repeated 50 times.
Davide Agostini
Android Mobile Engineer and Founder of ViaMetric. Davide specializes in technical SEO and the emerging field of Generative Engine Optimization (GEO), helping founders navigate the shift from links to AI citations.
Frequently Asked Questions
Yes, but not like in 2010. You don't aim for a specific %, but extreme values (too high or too low) are negative signals. Aim for natural language.
Term Frequency-Inverse Document Frequency. It's a statistical measure used to evaluate how important a word is. We use a simplified version of this to size the words in the cloud.
Because 'Machine' and 'Learning' mean different things than 'Machine Learning'. AI reads in phrases (tokens), so analyzing multi-word phrases is more accurate for SEO.