Selling Longtail Keyword Research | $1 / keyword

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oby_one

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2014
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Have you ever wondered how to find Long Tail Keywords for your website? When you use Google, you may notice a little drop-down box that represents their attempt to predict what you're about to type next.

For example when I type the phrase "How does a website..." then Google assumes I might be looking for:
How does a website make money
How does a website work
How does a website find my location
How does a website server work
how does a website help a business

These are some interesting keywords...

Wouldn't it be great if there was a way to save all these keywords--so we could add them to our website content?. here some example :
Code:
best small bathroom paint colors
 best small bathroom plans 
best small bathroom pictures 
best small bathroom plants 
best small bathroom photos 
good small bathroom plants 
best small bathroom designs pictures 
best small bathroom floor plans 
best color for small bathroom no window 
best small bathroom makeovers 
best small master bathroom 
best small bathroom layouts 
best small bathroom lighting 
good small bathroom layout 
best small bathroom ideas 
best small bathroom images 
best small bathroom interior design 
best small bathroom interior 
best small bathroom remodel ideas 
best small bathroom tile ideas 
best flooring in small bathroom 
best ideas for small bathroom storage 
best small bathroom heater 
best small bathroom wall heater 
best small bathroom flooring 
best tile small bathroom floor 
best small dehumidifier for bathroom

I can give you this list by purchase my service, you'll get csv or txt file that contains all possible longtail keyword that you can use on your article or even your blog post title.

Using the good ol' free Google Keyword Planner is great. But there is an alternate universe of Long Tail keyword phrases that live in Google's other database--namely, their "Autocomplete database."

In Google's own words:
Autocomplete predictions are automatically generated by an algorithm without any human involvement based on a number of objective factors, including how often past users have searched for a term.
 
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