Phishing for Demographics

August 10, 2009

As a visibility expert that is focused, primarily, on results, then knowing that you’re design efforts are ranking well across ALL engines is pretty important.

For a few individuals, single-engine optimization is the holy grail. With the development of Bing and the inevitable ‘others to come,’ it isn’t the wisest choice to over-optimize for a singe engine. The simple fact is that REAL SEO is universal, allowing for dominating rankings across all engines.

A tool that I’m sure I’ll use a fair amount is ‘blind search‘ – just to gauge how a traffic ranks across the big three without having to open tabs and stuff. I use dogpile to gauge overall rank, but to see all three SERPs, clutter-free, is pretty nice; especially because there’s no need to install any add-ons – it’s just a search page.

But, this has got to be some interesting search data that’s coming across… After a year, a decent trend curve could be shown over a myriad of markets, all based on live, direct searching – WITH VOTING TO BOOT!! I wonder what, if any, data Mr. Kordahi might be interested in sharing….

Blind Search: Side By Side Search Results For Google, Yahoo & Bing

2009 August 9

by MHB

A employee of Microsoft, Michael Kordahi, has launched a “fun experiment”, side project to see how the three major search engines return results for the same keyword.

He calls the service, “BlindSearch, the search engine taste test.”

“”The goal of this site is simple, we want to see what happens when you remove the branding from search engines. How differently will you perceive the results?”

The columns are randomized with every query, so Google isn’t always in the first, second or third position.

Obviously, this works best for a site you own, to see how it ranks side by side on the three major search engines, Google, Yahoo and Bing.

I did this for “the domains”, “luxury bedding” and “discount bedding” and the returned results for each of the three search engines, did match what I found doing a direct search.

In some cases Google was the best, returning the domain higher and sometimes Bing returned the better result.

Try it for yourself.

Michael makes the following disclaimer on this site:

“The system has many flaws that I know about already, the primary one of interest is the lack of localisation. So, all searches are going through the US as US searches. The other deficiency worth noting is that there is much missing from the actual experience of using these search engines eg, image thumbnails, suggestions, refine queries etc.”

via Blind Search: Side By Side Search Results For Google, Yahoo & Bing | The Domains.


Is Query Reprocessing the Next Big Search Advancement?

September 17, 2008
The semantic web is difficult to index. With many enduring thanks to heteronyms, proper indexing of the web is still a good way off. Either we need to change the structure of language, globally (Yeah, talk about unrealistic), or someone has to devise more effective method of semantic disambiguation. Will Query Reprocessing be that method?

I think it may be a step forward, but does Query Reprocessing have the ability to tie in the contextually relevant words, as well? Hmm… Well, it can be done with ‘cars,’ what else can they do it with?

I think Query Reprocessing, if it advances and is embraced by the masses, will be highly effective at filtering malware/spam pages.

With that said, check out the post at

clipped from
A Different Way to Search – Query reprocessing
This approach, implemented by sites such as Hakia and Powerset (recently purchased by Microsoft), attempts to subject search queries to logical analysis in order to better determine the intentions of the searcher.
This is the subdivision and display of short – often single-word – queries in categorized form to help the searcher distinguish between various interpretations of the search.
This feature enables certain terms in the search query to be dynamically replaced with others that have the same meaning in order to expand the result set. Hakia provide the example of “cure” replacing “treat” in a health query
A typical search engine query contains general terms that if treated literally artificially limit the result set. Hakia’s generalization function will show results, for example, that contain the names of specific car manufacturers in response to a query that contains the word “car.”
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