1. Case Study: Natural Language Movie
Queries in Google and Bing
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2. It started with this image Justin Briggs
shared via Reddit
In it, someone demonstrates how a natural
language search performs much better in
Google vs Bing and Yahoo, at identifying the
movie “Source Code”.
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6. But being a bit obsessive, I wanted to
dig deeper….
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7. I had a hunch that the IMDB may be
somehow helping Google with its
results, so lets look at the IMDB page
for “Source Code”
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42. DOH!!
And…. How do they do with a
(pretty damn obvious) natural
language search for the Grinch Stole
Christmas??
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53. I can’t find the wrong URL in Bing’s
index for Sideways.
Perhaps this is why it outperformed
Google…
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54. The main movie pages in IMDB carry
some serious ranking weight…
If Bing is double indexing and can’t
even return the right one which has all
the links juice and authority, is this
why Google outperforms???
@dan_shure / www.evolvingseo.com 54
67. 1. Check your indexation in Bing.
Even though you’ve added an canonical and redirected an old URL to a new,
this doesn’t mean either engine is going to get it right. Bing is seriously
messing up the right result here. Check for duplicate content issues and
adjust accordingly.
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68. 2. Pay Attention to “Entities”
The whole things that sparked this post, was Justin’s tweet and
post about “entities”. This study shows (to me) obvious movement
towards an entity based algarhythm.
I suggest reading Justin’s post to get a better understanding of
entities.
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69. Thanks… hope this was fun and
informative
Dan Shure
@dan_shure
www.evolvingseo.com
@dan_shure / www.evolvingseo.com 69
