Cuil – Latest Stats

Hi folks,

Following on from your suggestions, we have been keeping an eye on the usage stats for the new search engine Cuil. Unfortunately, we have been watching a quick decline rather than a steep ascent to success!

Despite an impressive start, stats for Cuil have been falling steadily. It’s unfortunate that the engine couldn’t capitalise on the initial interest it generated following widespread media coverage, and it remains to be seen if and how Cuil plans to tempt many disgruntled users back to the site as the index improves. It looks like the folks at Cuil have some tough work ahead of them.

In the meantime, please find below the latest stats for Cuil – these figures show the % of searches performed using Cuil relative to the total number of searches performed.

Globally US UK
Jul 29 0.10%
(1 in 1,000)
0.11%
(1 in 1,000)
0.19%
(1 in 500)
Jul 30 0.11% 0.12% 0.19%
Jul 31 0.08% 0.09% 0.10%
Aug 01 0.06% 0.07% 0.10%
Aug 02 0.05% 0.07% 0.09%
Aug 03 0.04% 0.04% 0.08%
Aug 04 0.03% 0.04% 0.06%
Aug 05 0.03%
(3 in 10,000)
0.04%
(1 in 2,500)
0.05%
(1 in 2,000)
Aug 06 0.03% 0.03% 0.05%
Aug 07 0.02% 0.03% 0.01%
Aug 08 0.02% 0.02% 0.01%
Aug 09 0.02% 0.03% 0.01%
Aug 10 0.01% 0.02% 0.01%

Note: This information is based on a total sample for the period of over 365 million page views globally.

95 comments on “Cuil – Latest Stats

  1. Even though I always knew that Cuil is no Google Search killer, still there were hopes that it will present a nice foundation alternative for Google. All I can say, whenever I search something in Cuil , I hardly find anything relevant to what I am searching, no wonder it traffic is falling down. I do think that they will improve in future.

  2. Well said michaelmross. I agree. It does show that there is room for some others. Maybe BOSS (yahoos “Build Your Own Search Engine”) is the answer? Maybe it needs a new approach, but one thing is for sure….. Someone is trying.

  3. Cuil has demonstrated one thing – there is room for a fresh way to present results – one that combines text and image and that has a sensible classification system. However, Cuil is not effective at either of these – and it’s indexing is completely erratic and unreliable to boot.

  4. The fatal blow for Cuil was the irrelevant results. When people try a new search engine they are first going to type a search query where they have a good idea what should rank near the top. If the engine doesn’t deliver sites they know are relevant, they won’t use the engine. This was the #1 problem with Cuil.

    Secondly, the grid layout is cool (no pun intended) but were they ranked left to right, top to bottom or top to bottom, left to right? I couldn’t make sense of which site was #2 and so on. I’m afraid they portrayed themselves as a fully-functional Google alternative with a half-baked algorithm.

  5. Its the only place where thunderror.com doesn’t come out as the first result when I search for thunderror.
    They’ve improved, but why should I go to there when I’ve already got to google.com

  6. They couldn’t find any result for “Retro Garden” when I searched. My site has been up for over a year, is well indexed and generally going well in Google (not least because it’s number one in Google for Retro Garden). Nothing at all.

    It’s no surprise really.

  7. First day it wouldn’t even find my site as number one. I couldn’t find my site for it’s own unique term. I think it is getting better but first impressions count. Good luck they’ll need it.

  8. 2 reasons why cuil is not going to do well.

    1. the layout, it confuses people when they use it. People expect it to stack down the way not in collumns.

    2. Their bot (twiceler) has been hammering some websites and hitting bot traps which has resulted in some websites banning them from crawling their website. Ive unbanned them basically to see if the bot has started to behave.

  9. > So what can we glean from this? Google Rules? CUIL is no threat to any search engines?

    We can glean from it that Cuil appear to have done insufficient user research and usability studies on their own product to find out (a) what problem they’re trying to solve (i.e. what subset of internet users would switch to a different search engine, and why?), and (b) whether they’ve managed to solve it for that set of users.

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