Using power of artificial intelligence WordsMiner helps you to hunt out most valuable niche related keywords from the search and write better content your readers will love.
By including semantically related keywords in your page, you are giving the search engines a better understanding of your page, company, products, and services.
Seeing related and similar keywords in your content, search engines will rank you page by many semantically related searches no matter what your target keyword is.
With well-researched content your page ranks higher, which leads to more click through rates, more backlinks, more authority...
WordsMiner helps you to uncover more specific subtopics in your niche and, therefore, create content that many experts will appreciate.
WordsMiner generates a detailed report of semantically related keywords used in the highest-ranking webpages in search results for your search query.
WordsMiner reveals terms and phrases that are most similar in meaning and semantic content by synonymy, hyponymy, and hypernymy.
WordsMiner crawls your competitor's content, finds relevant and similar keywords, calculates its relatedness and similarity and presents it to you in an easy-to-read report.
Content Template tool enables you to check if your content is enriched with semantically related and similar keywords, its readability and length before you publish it online.
WordsMiner supports following languages (with corresponding countries): English, German, French, Italian, Spanish, Portuguese, Dutch, Polish and Russian.
We utilize state-of-the-art machine learning algorithms to compute vectors between terms and phrases to provide you with the most relevant keywords.
All the magic starts with Dataset creation step. To do that:
In current version WordsMiner supports 9 languages: English, French, German, Italian, Dutch, Polish, Portuguese, Spanish and Russian.
And 10 countries: United States, United Kingdom, Germany, France, Italy, Spain, Portugal, Netherlands, Poland and Russian Federation.
When choosing the search depth, only two options are available for now: top 10 and top 20. The deeper you search, the more accurate results you have on Reports page.
After you hit "Generate" button, WordsMiner does the following:
Note: Since Dataset creation is resource-intensive process, you should wait up to 15 minutes to complete the task.
Investigating given keywords, you can select "One-word keywords", "Two-word keywords" or "Three-word keywords" tabs.
In addition, if you select an URL in dropdown menu, you will see which keywords are used by chosen URL and how often.
Bear in mind the following:
The difference between Relatedness and Similarity is explained with example: "car" is similar to "bus", but is also related to "road" and "driving".
Before proceeding to step 4, select the checkboxes of keywords you want to use in your content.
Select "Relatedness", "Similarity" or "Keywords Count" tabs to see how keywords are related or similar to your search query, as well as how often they are used in the Dataset.
Expand "Legend" tab below the chart to add appropriate metrics of custom URLs.
Note: sorting columns in the table will redraw the chart accordingly.
If you find keywords worth using in your copy, you can select them by checking the boxes in the table and click the “Create content template” button.
This will lead you to the Content Template tool with the chosen keywords in the sidebar (Recommended Keywords).
Copy and paste your written text into the WYSIWYG form, and if any of them are found in your text, they will show up in green – if not, you will know how to edit your piece.
Pay As You Go
$5 / dataset
$XXX / month
$XXX / month
|Extended datasets||No||10 queries / dataset||50 queries / dataset|
|History data||No||Weekly||On demand|
|Search depth||top 20||top 100||top 100|
|Search engines||Google, Bing, Yahoo, Yandex||Google, Bing, Yahoo, Yandex|