Page analysis and search query suggestions
A semantic core helps you understand which queries bring users to your site. Keyword density analysis shows how well content is optimized for target queries. Related query suggestions help you expand reach and find new content ideas.
Keyword research is the foundation of SEO. This tool helps you analyze page content for keyword density, find the most important terms, and discover related search queries. Use page analysis to audit existing content or keyword expansion to find new opportunities for your semantic core.
The tool extracts keywords from any URL, analyzing title tags, meta descriptions, headings (H1-H6), and body text. Shows keyword density, word frequency distribution, and n-gram analysis. Helps identify content gaps and over-optimization issues for on-page SEO.
Use keyword analysis as part of your SEO workflow: check your page, compare with competitors, and optimize content accordingly. Combine with health score for a complete technical SEO audit, and review our articles for SEO best practices and strategies.
Keyword analysis is the evaluation of search queries by frequency, competition, and relevance. It helps choose the right words for SEO content optimization and understand what the audience is searching for.
Search volume is the number of searches for a keyword per month. High volume means large potential traffic but also high competition. Low-volume keywords are easier to rank for.
Keyword difficulty (KD) is a measure of how hard it is to rank for a keyword. It considers competitor authority, backlink count, and content quality. KD 0-30 is easy, 30-70 is medium, 70+ is hard.
Short-tail — short general queries (1-2 words: "website monitoring"), high volume, high competition. Long-tail — long specific queries (3+ words: "free website monitoring with telegram notifications"), low volume, low competition, high conversion.
Search intent is the user's goal: informational (to learn), navigational (to find a site), commercial (to compare options), transactional (to buy). Content must match intent — otherwise high bounce rate.
Clustering is grouping similar queries for one page. Keywords with the same search intent and overlapping TOP-10 results are grouped together. One page — one cluster.