Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The decline of SEO
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > The decline of SEO
Uncategorized

The decline of SEO

StephenBaker1
StephenBaker1
4 Min Read
SHARE

Robert Scoble’s post this morning predicts that 2010 will mark the decline of search engine optimization. The data world is getting more complicated. Google and others are looking to other factors besides page rank to determine relevance. Location matters, and so do what friends are saying. And as they bring these new data streams into the results, the people trying to reverse engineer their algorithms have a harder time.

If you figure that Google has one of the world’s greatest repositories of data, thousands of world-class engineers and near limitless computing resources to run gazillions of tests, it makes sense that the SEO people would be overmatched. That said, there will always be a consulting industry to help people optimize their ad campaigns. But like Google, they’ll need to take all kinds of new factors into account.

Of course the key to good rank is to come up with something compelling to read or watch. One of the commenters on Scoble’s post, Alec Perkins, urges people to “optimize for humans”; He writes: “Trying to optimize for a search engine is pointless, because the search engines aren’t the ones looking for you. Anyway, they’re trying …



Robert Scoble’s post
this morning predicts that 2010 will mark the decline of search engine
optimization. The data world is getting more
complicated. Google and others are looking to other factors besides
page rank to determine relevance. Location matters, and so do what
friends are saying. And as they bring these new data streams into the
results, the people trying to reverse engineer their algorithms have a
harder time.

More Read

Looking for a Devil’s Advocate
People, Process, and Technology
Mobile Business Intelligence: Who is Hot in 2014?
Did you ever want to be a spy when you were a kid?
List of PMML consumers and producers

If you figure that Google has one of the world’s greatest repositories
of data, thousands of world-class engineers and near limitless
computing resources to run gazillions of tests, it makes sense that the
SEO people would be overmatched. That said, there will always be a
consulting industry to help people optimize their ad campaigns. But
like Google, they’ll need to take all kinds of new factors into account.

Of course the key to good rank is to come up with something compelling to read or
watch. One of the commenters on Scoble’s post, Alec Perkins, urges people to “optimize for humans”; He writes:
“Trying to optimize for a search engine is pointless, because the
search
engines aren’t the ones looking for you. Anyway, they’re trying to
mimic human behavior in terms of understanding what’s important. If
it’s not compelling or relevant, it will never gain traction, with
search engines or people, no matter how ‘optimized’ it is.”

In the video on Scoble’s post, he interviews the co-founders of MyNextCustomer,
a new consultancy. I found the first 15 minutes interesting. Here, for
example, is how a local locksmith might game Google’s search results.
He lists 27 fake locations, each with a phone number that ties into a
single IP phone line. Google’s engine thinks its 27 businesses and
gives it a higher rank than his competitor down the street…

Link to original post

TAGGED:googleseo
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
Marketing

The Biggest SEO Trends of 2015

5 Min Read

Google Analytics Achilles Heel

3 Min Read

Wolfram Alpha Revisited

7 Min Read

Why Google needed a Superbowl ad

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?