Discover semantically related keywords hidden in your content. Extract LSI (Latent Semantic Indexing) keywords by analyzing n-gram frequency patterns, helping you strengthen topical relevance without keyword stuffing. Built for SEO professionals, content writers, and marketers.
0 words
Extracts unigrams (single words), bigrams (two-word phrases), and trigrams (three-word phrases) to capture both simple and complex semantic relationships.
Each keyword shows a proportional frequency bar so you can instantly see which terms dominate your content.
Download extracted keywords with their frequency and type in CSV format for deeper analysis in Excel or Google Sheets.
Toggle between unigrams, bigrams, and trigrams to focus on the term length that matters most for your SEO strategy.
Content Gap Analysis: Paste a top-ranking competitor article and extract their key terms. Compare against your own content to find missing topics.
Content Enrichment: After writing a draft, run it through the extractor to verify you have covered the essential related terms for your target keyword.
Keyword Research: Use extracted bigrams and trigrams as long-tail keyword ideas for supporting blog posts and internal linking.
Sprinkle LSI keywords naturally throughout your content, especially in headings, the introduction, and the conclusion. This signals topical depth to search engines without keyword stuffing.
Use bigram and trigram results as subheading ideas. These multi-word phrases often match long-tail search queries that drive targeted traffic.
Compare your extracted keywords against your target keyword list. Any high-frequency terms you had not planned for represent opportunities to strengthen your content.
LSI (Latent Semantic Indexing) keywords are terms semantically related to your main keyword. They help search engines understand the context and topic of your content beyond exact-match keywords.
The tool analyzes your text to extract frequently co-occurring unigrams, bigrams, and trigrams, ranking them by frequency to surface the most contextually relevant terms.
Using LSI keywords signals topical depth to search engines. They reduce keyword stuffing risks, improve content relevance, and help you rank for a broader range of related queries.