The Google History from an SEO Consultant’s Perspective

Several weeks ago marked the 12 year anniversary of Google’s IPO. It was valued at some 30 billion dollars then and today sits on top of the world at over 500 billion dollars. It’s no accident that Google has optimized its network to achieve this level of success when you consider the company’s historical past. Google has done a tremendous job monetizing its platform over the years and keeping webmasters on their toes with Google rankings.

I have attempted to document my take on key Google algorithm changes over the years and internal insights that I have garnered from working in the competitive SEO industry since 2005.

You might be saying, “But Brian, there are 185 posts already documenting Google’s supposed History. What’s new with yours?” Well most, if not all of them outside of a few, are devoid of any sort of filter/analysis from industry experts.

This is my take: Continue reading The Google History from an SEO Consultant’s Perspective

Machine Learning Applications Google Might be Using

Machine learning at Google and it’s applications to search rankings and other product innovations isn’t something that is talked about much in the marketing blogosphere. It’s critical, however, to understand that Google is pushing this type of technology throughout it’s enterprise.

One strong sign that Google is years into machine learning is an open source software library they created for Machine Intelligence called TensorFlow, which they have given to the world to iterate on top of.

They have openly admitted they use TensorFlow in assisting with search results. Jeff Dean calls attention to it in this video at the 27 second mark.

Aki Balogh, the Founder of MarketMuse, helps define it further.

“Machine learning and artificial intelligence are technologies that rely on computers to notice patterns in data. When you combine this with large volumes of data (‘Big Data’), you get systems that are really good at specific tasks, because they can pick up on patterns millions of times faster than a human. Often purpose-built systems like MarketMuse or what Brian calls attention to below that Google might use, are called Artificial Narrow Intelligence (ANI). Combining the pattern recognition of an ANI system with the creativity of a human being is a winning combination.”

Machine learning could be applied at Google in the following ways. Let’s take a look further. Continue reading Machine Learning Applications Google Might be Using

Developers vs. Marketers: Whose Responsibility is it for Success?

brian chappell Should I care?
Should I care? Damn straight I do.

Marketers and developers have to get along, in fact they need to drink from the same water-cooler most of the time. It’s important for both marketers and developers to be able to work through projects and take a sense of shared ownership as it relates to results. It is common for teams to butt heads and in some cases just not give a damn what the other side expects as an outcome. Here are some ways to address this issue – and it starts with the ‘development process’. Continue reading Developers vs. Marketers: Whose Responsibility is it for Success?

SEOs: How To Prove Your Value to People Who Matter

In the SEO business, at times proving success and past ‘wins’ can be a very intangible art that comes across to higher ups as total black magic. Whether you are trying to win over your boss or client to buy in on your new idea, seeking out a raise at your 9-5 job or winning over the budget from a new client, getting them to see the end goal of making more money can be tough.

I have thought through this a bit and have some experiences that I thought I would share as it has come up quite a bit recently for me in running a boutique search agency. I have had to adjust the need to show value as the people who want to know my value have changed in use cases. Continue reading SEOs: How To Prove Your Value to People Who Matter