Hoplite Analytics has released SEO Keyword Heatmap, a free desktop app that shows where a word or phrase appears in webpage copy. It gives editors a visual way to spot repetition during a content review.
Highlights:
- Map exact matches across pasted copy.
- Check occurrence counts and keyword density offline.
- Export the full heatmap as a PNG.
What the SEO Heatmap Shows
The app shows where a selected phrase appears across a page and where its matches cluster. A total count tells you how often a phrase appears. The map lets you see whether those occurrences are spread through the article or packed into one section, thus improving your content strategy.
Say a guide uses “site migration” six times. If most of the matches are in two opening paragraphs, an editor can reread those paragraphs and check whether each mention serves a purpose. If the same six mentions appear across distinct sections, they may be doing different work. The keyword heatmap makes that difference visible before anyone rewrites a sentence.
What the Colors and Numbers Mean
Warmer areas indicate that matches for the selected phrase are close together. The color can extend a little around a match, so nearby words may appear under the overlay even when they contribute no heat of their own. The status line shows the total matches and calculates density by dividing that count by the number of words in the pasted content.
Matching ignores capitalization and respects word boundaries. A phrase can span bold text or a soft line break within a paragraph. A paragraph break ends the match, and accented spellings are treated as distinct.
How to Use the SEO Keyword Heatmap
- Copy the part of a webpage you want to review.
- Paste it into the app.
- Choose a phrase to inspect.
If the clipboard carries rich text, the app can retain elements such as headings, lists, and emphasis. It rebuilds the content in a reading view with its own styling. You can also paste plain text.
The app offers up to five suggestions based on recurring terms and phrases and their use in headings. You can type your own query whenever you already know what to look for. In an editorial review, for instance, you could check a target phrase first, then look for a product name that seems overused.
Use the minimap to jump to different parts of a long page, then export the full view as a PNG if you need to share what you found. The SEO heatmap visualization can give an editor and a writer a common reference when they discuss a specific passage. The exported image includes the pasted copy, so it preserves the context around the highlighted matches.
Where an SEO Heatmap Fits Into a Content Review
A heatmap in SEO is useful for a focused editing question. It can show whether wording is repeated in one part of a draft so you can decide if the repetition helps the reader. That judgment depends on the passage. A term repeated in several steps of a procedure may be necessary for clarity. In a short introduction, it may make the copy feel labored.
Use the keyword heatmap tool to find passages worth reading in context. Because it tracks literal matches, a search for one phrase leaves synonyms and related terms out of the results. Questions about search intent and topic coverage still call for a broader review of what the page explains and what the reader needs.
Where to Get the Tool
Hoplite Analytics has made the source code and setup instructions available on Hoplite’s GitHub as part of its repository. The desktop app is built with Python and Qt for Ubuntu. Once the Qt dependency is installed, the analysis runs offline and keeps pasted content in memory until you close the app. The README also lists tested Python versions. Get the source code and setup instructions.
SEO Keyword Heatmap FAQ
What does Hoplite Analytics’ SEO Keyword Heatmap show?
It shows where a selected word or phrase appears in webpage copy. Warmer areas indicate clusters of nearby matches, while the status line shows the total number of matches and the keyword density.
How do I create a heatmap for a webpage?
To create a heatmap, copy the webpage text you want to review and paste it into the desktop app. Choose one of up to five suggested terms or enter your own phrase. The app looks for exact wording regardless of capitalization and respects word boundaries.
How does the tool calculate keyword density?
The tool calculates keyword density by dividing the number of matches by the total word count and multiplying by 100. Each matched phrase counts as one occurrence. For example, four matches in 800 words give a density of 0.5%. Use the percentage to gauge repetition, then look at the highlighted passages to decide whether the wording reads naturally.
Does the tool work offline and keep my text private?
Yes. The tool works offline and processes pasted text on your computer. It holds the text in memory while the app is open and discards it when you close the app. If you export an image, the PNG includes the pasted copy.
Can I export a heatmap for an editorial review?
Yes. Select Export PNG to save an image of the full reconstructed page with the heatmap overlay. You can share the image with an editor or writer to show where matches cluster and which passages are worth rereading.
Is the tool free, and where can I download it?
Yes. Hoplite Analytics released the tool as free, open-source software. It’s a Python desktop app built for Ubuntu, and the README lists the recommended setup and how to launch it. Get the source code and setup instructions on Hoplite Analytic’s GitHub repository.
His academic background includes a master's degree in economic growth and innovation, as well as studies in statistics and the philosophy of language. Johan is fluent in Swedish, English and Spanish.
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