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Keyword Research

Page analysis and search query suggestions

TL;DR:

Keywords analyzer crawls a page and extracts top keywords and phrases (1-3 words), their density, and placement across headings (H1/H2/H3), meta tags, and image alt attributes. Helps you see how search engines interpret the page, catch keyword stuffing, and surface missed semantic terms.

KeywordsAll keywords on the page
FrequencyCount of each word occurrence
TF-IDFKeyword relevance scoring
Semantic CoreClusters of related words

Why teams trust us

TF-IDF
frequency analysis
Meta
title + description
Live
page analysis
Free
no limits

How it works

1

Enter page URL

2

Extract keywords

3

Get frequency and density

Why analyze page keywords?

Keyword analysis shows how search engines perceive your page's topic. It helps identify keyword stuffing, lack of relevant terms, or topic mismatch.

Full Word List

All page words with frequency, sorted by occurrences.

TF-IDF Calculation

Mathematical importance score of each word relative to total text volume.

Stop Words

Filtering prepositions, conjunctions, and other non-relevant words.

Export Results

Download the keyword list for use in SEO tools.

Who uses this

SEO

page keyword analysis

Copywriters

content optimisation

Developers

meta tag check

Content marketers

competitor audit

Common Mistakes

Keyword stuffingKeyword density >5% is a stuffing signal. Google demotes such pages.
Ignoring LSI wordsModern algorithms look for thematic synonyms, not just exact matches.
Only checking the titleKeywords should appear in H1, first paragraph, and image alt tags.
Optimizing for one keywordOne page can rank for dozens of keywords. Use semantic approach.

Best Practices

Analyze competitorsCompare your keyword core with top-3 SERP competitors for your target query.
Include word variationsUse morphological forms: "buy", "bought", "purchase" — they form one cluster.
Density 1–3%Optimal keyword density — 1–3% of page text.
Check after editingAfter significant content edits, recalculate keywords and frequency.

Get more with a free account

Keyword analysis history and page comparison over time.

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Keyword Research Tool

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.

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Frequently Asked Questions

What is keyword analysis?

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.

What is search volume?

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.

What is keyword difficulty?

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.

What is the difference between long-tail and short-tail keywords?

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.

What is search intent?

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.

How to cluster keywords?

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.

Related guides

Longer-form reading on this topic from the knowledge base.

Automated SEO audit

Weekly checks of meta tags, schema, canonical, robots. Report via email or Slack.