Keyword and Topic Research with Wikipedia Visualization Tools

SMS Text

Like I said previously, Wikipedia provides a mine of data worth digging into when researching a topic. It is user-generated, well-moderated and heavily interlinked – all three factors contribute to the fact that the site can be quite useful for keyword and niche research.

This time I am looking into Wikipedia visualization tools that can help map the topic and also provide you with ideas where to look further (related and neighboring terms):

Wikipedia-roll visualizes Wikipedia articles by distinct concepts (sections) and items. For example, for “search engine optimization” we get:

  • Key elements;
  • Histories;
  • Webmasters with search engines;
  • As a marketing strategy;
  • White hat versus black hat;
  • International markets;
  • See also;
  • Legal precedents;
  • References.

Wikipedia Roll

VisWiki connects Wikipedia articles via interactive maps. You can thus easily see and click through related topics and terms:

For “search engine optimization” we see the following map (click on “Related” for more results):


EyePlorer (previously reviewed by me on SEJ) visualizes knowledge graphs (k-graphs) derived from Wikipedia content that can be interactively explored. The knowledge graph consists of eyespots representing concepts that are connected to your topic. For better orientation those eyespots are clustered.

You can research the topic by removing nay cluster. You can also explore the connections between eyespots by clicking on any of them:


WikiRank is a newly launched tool with a yet different concept from the above ones (but I couldn’t help mentioning it here): it visualizes the page / term popularity on Wikipedia.

Apart from trending how popular the topic has been for the past month, the tool also allows to compare many topic popularity.


Note though that the information provided is “based on logs from Wikipedia’s HTTP Squid proxy servers. That means every single page load is recorded, whether initiated by a human with a browser or a Web spider crawling through”. [Thanks to Search Rank for the warning] So the actual (absolute) impressions numbers are not so important as the trend itself (relative increases or decreases for any particular term).

Ann Smarty

Ann Smarty

Brand amd Community Manager at Internet Marketing Ninjas
Ann Smarty is the blogger and community manager at Internet Marketing Ninjas. Ann's expertise in blogging and tools serve as a base for her writing,... Read Full Bio
Ann Smarty
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  • Dorai Thodla

    Thanks. Neat tools. I was aware of WikiRank and wiki mindmap, but some of these are new and useful.

    I think we will see more of these as the amount of open data increases on the web. Visualization and Explorations are definitely interesting technologies to watch since they provide new insights into large volume of data.

  • Steen Öhman

    Very nice post …

    Need to check this out … should be very usefull for one of my clients. Thanks

  • Loric

    Great article, it’s very interesting. It’s an original way to extend your keyword list.

  • Peter Fendrich

    Visualization of data is the future.
    Even more in the Semantic Web.

  • Peter Fendrich

    Visualization of data is the future.
    Even more in the Semantic Web.
    (sorry for this 2nd time. My 1st link was broken)

  • Selig

    Great round-up. Thanks for sharing!

  • Massimo Burgio

    Thanks Ann for the great review of the Wikipedia keywords tool – I just twittered about it, well done!

  • Bonzaros

    Thanks Anne, This is the first time I’ve heard of these tools.

  • aag

    thanks Anne,

    For telling me details it is very nice good article writing…………………………..

  • Boston SEO

    Not enough people really utilize Wikipedia. I think it is due to many of the articles not being properly sourced. I know it is frowned upon at many universities, but this tool really is helpful and convenient.