TF IDF

The TF-IDF Tool helps you discover which words are missing from your page compared to the competition in the top 10 search results. Create content with richer keyword phrases related to your topic and improve your search engine visibility.

What does the TF-IDF Tool do?

The TF-IDF Tool analyzes the content of webpages related to the selected query (keyword). It employs an algorithm based on Term Frequency (TF) and Inverse Document Frequency (IDF). Using this, it assesses the importance of words and phrases in a given corpus of documents.

First, the tool pulls content from pages in the top 10 search results for the selected keyword. Then it calculates the weight of words and phrases. Finally, it presents a sorted list of terms that best describe the topic.

You can also add your own website's address for analysis. In this case, the TF-IDF Tool will show how your content compares to the competition. See which words are missing as well as where there are differences in topic coverage.

• The tool uses real data from Google search results.
• It analyzes both single words and full phrases related to the query.
• Helps detect missing keywords and phrases shared among the top 10 pages.
• Filters out insignificant words, including typical stop words that lack semantic value.

As a result, you receive a concrete list of terms worth adding to your website’s content. This tool supports on-page SEO optimization and the development of your content marketing strategy.

How does the TF-IDF Tool help SEO specialists and website owners?

The TF-IDF Tool saves time for SEO specialists and content creators. It automates calculations that would require manual analysis of numerous documents. Instead of working with raw data, you benefit from a clear report.

• Analyze up to ten competing URLs at once as well as your own site.
• Get a list of words and phrases calculated across the entire corpus from the top 10.
• See which keywords appear for most of your competitors but not on your site.
• Focus on content quality instead of manually counting Term Frequency and Inverse Document Frequency.
• Reduce the risk of missing important semantic phrases related to the main query.
• Work with data tailored to a specific country for better local content alignment.

For website owners, this means more relevant content. Content better matches user intent and the layout of SERP results. This makes it easier to achieve visibility for competitive queries.

Common uses of the TF-IDF Tool

The TF-IDF Tool proves useful in the daily work of SEO specialists, copywriters, and marketers. It can be used at various stages of content creation and optimization.

• Optimization of published articles that are not reaching the desired positions in Google.
• Planning new blog content, guides, and landing pages using data from the top 10.
• Analyzing competitor content and detecting recurring patterns and thematic phrases.
• Creating article outlines that cover all key subtopics and related keywords.
• Enhancing content for long-tail queries and semantically related phrases.
• Supporting content audits and evaluating whether your text covers the topic compared to the competition.

In each of these uses, the tool follows the same logic. It analyzes Term Frequency (TF) at the document level and Inverse Document Frequency (IDF) across the entire set of pages. Thanks to this, it highlights the words truly important for the topic.

Comparison of the TF-IDF Tool with other tools

There are various content analysis tools for SEO on the market. The TF-IDF Tool by DiagnoSEO focuses on precise analysis of words and phrases from top results. The table below summarizes the key functional differences.

Functionality	DiagnoSEO	Other tools
Calculating weights based on TF IDF for words and phrases	✅	❌
Comparing your page to the top 10 results in one report	✅	❌
Analysis of not only single words but also full topic phrases	✅	❌
Indicates exactly which words are missing from your page compared to competitors	✅	❌
Filtering content to only p, h, and blockquote tags	✅	❌
Option to exclude header and footer content	✅	❌
Selecting country and tailoring to local search results	✅	❌
Advanced phrase analysis available in additional settings	✅	❌

Thanks to these features, the tool helps you better understand how search engines interpret the topic. Instead of guessing which phrases to add, you rely on real search results data.

Tips and best practices

To fully leverage the power of the TF-IDF Tool, it's worth following a few key principles. They will make your analysis more reliable and your conclusions easier to implement.

• Analyze pages that truly dominate the organic results for your query.
• Add as many competitors as possible to better reflect the full corpus.
• Use content filtering to p, h, and blockquote tags for greater precision.
• Treat the word list as a guide for expanding content, not as a ready-made text.
• Add new keywords naturally, maintaining consistency of language and tone of voice.
• After updating content, wait for search engines to re-index your page.

It’s also good practice to keep reports from each analysis. This makes it easier to monitor changes and track the impact of content optimization on SERP visibility.

Common mistakes

Even the best tool can be misused. Below are mistakes to avoid when working with TF IDF analysis.

• Keyword stuffing instead of natural phrase incorporation.
• Ignoring context and user intent in favor of simply matching words.
• Analyzing too few competing sites, which impoverishes the data corpus.
• Failing to update older content that still drives search traffic.
• Focusing only on keyword count, without considering content structure.
• Relying too heavily on data without independently assessing the substantive quality of the article.

Avoiding these mistakes makes the TF-IDF Tool a real support, not the sole authority. You combine algorithmic analysis with your own experience and user knowledge.

How to use the TF-IDF Tool

Using the TF-IDF Tool is simple and does not require technical knowledge. Just follow a few basic steps.

1. Enter your main keyword or phrase in the designated query field.
2. Optionally, add your website URL to compare it with competitors and discover missing phrases.
3. Select the country for which you want to analyze Google search results.
4. Optionally, add competitor URLs—ideally pages from the top 10 for your query.
5. If needed, uncheck the option to scan only p, h, and blockquote tags.
6. Enable the option to skip content in header and footer tags if you want to focus on the main content.
7. Click the button to start the analysis and wait for the TF-IDF report to be generated.

After the analysis, you'll receive a list of words and phrases sorted by weight. Based on this, you can plan content updates and add missing elements. The tool handles all calculations, so you don’t have to know formulas or count manually.

Case study

Let's imagine an educational website publishing a comprehensive guide. The text is substantial, but doesn't rank high in Google results. The owner suspects the problem lies with links or content length.

After running the TF-IDF Tool, it turns out that competitor articles use many related phrases. They include additional subtopics, definitions, and examples missing from the analyzed text. The report reveals a list of important words and phrases present in most competing articles.

The author updates the content, adding missing sections and naturally incorporating new keywords. The article is expanded with answers to frequently asked questions and additional examples. At the same time, the text remains readable and simple, with no artificial word repetition.

After the article is re-indexed, it begins appearing more often on the first page of results. Impressions and clicks increase, and the content generates stable traffic from many queries. The whole process is based on a reliable top 10 analysis instead of mere speculation.

FAQ

• What is the TF-IDF Tool in DiagnoSEO?

  The TF-IDF Tool calculates the weight of words based on data from the top 10 Google results. It uses the TF IDF algorithm to point out the most important words and phrases for a given topic.

• Do I need to know the Term Frequency (TF) and Inverse Document Frequency (IDF) formula?

  You don't need to know the formula or do the calculations yourself. The tool automatically calculates TF and IDF and presents the results as a user-friendly list of words and phrases.

• How often should I run TF IDF analysis for a single page?

  It's worth running the analysis before publishing new content and after major content changes. As a best practice, re-check your pages after search algorithm updates and significant changes in the results.

• Does the TF-IDF Tool replace classic keyword research?

  The tool does not replace full keyword research, but complements it. It shows how the competition uses topical phrases and which words are worth adding to your content for better topic coverage.

• Does the TF-IDF Tool include stop words in the calculation?

  The TF IDF algorithm assigns a low weight to common stop words found in most documents. This keeps the report focused on words with substantive value that help optimize your content.