Artiklz “Conversation Search Engine” launches beta

Filed as News on January 8, 2009 2:22 am

Artiklz is a new search engine designed specifically to index the information, opinion and comments contained in blogs, social media and bookmarking sites.

Launched on Wednesday as a public beta, the service describes itself as a “conversational search engine”, and works by “aggregating discussions around the social media, answering the question of who, where, why, when, and what people are discussing across the social media.”

The concept appears to be to aggregate comments from various popular services and the multitude of blogs so that users can either search for what people are talking about on a particular subject, or find every comment from a particular author.

The service also offers widgets that blog owners can place on their site, as well as being notified by SMS or email when someone comments on their content, wherever it’s made.

The concept is interesting, though I could imagine becoming completely overwhelmed by the sheer weight of comments on any given subject – it’s hard enough keeping up with blog posts.

The Artiklz search engine definitely needs some work, though. For example, the last conversations indexed when I searched for “Apple” was listed as mid-December 2008.

What do you think? Is this a service you’d use? Are you interested in tracking conversations from around the web or do you just rely on a subset of services (e.g. Twitter, Digg) to get a feel for what people are saying on any given subject? (via

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  1. By John Le posted on January 22, 2009 at 7:20 pm
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    Andy, thanks for the mention…and yes, the content is playing a ‘catch-up’ game at the moment…as we wanted to get the service launched we knew we would be encountering this issue; however, the process is working in the backdrop to acquire content as fresh as within hours of publication. You’ll be able to run the same search for ‘apple’ with advance search filters on posted date or commenters etc to get more granular to what you’re searching for. Hope that helps a bit…


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