Google and content, how to interpret it to improve your digital strategy
Posted: Sat Dec 07, 2024 9:37 am
Andres Romero
CEO and Project Manager
May 10, 2016
There have been significant developments in SEO practices in a relatively short period of time, and with each new algorithm update, marketers have been looking for ways to adapt to the complex set of rules that Google uses to rank search results.
However, in October of last year, Google announced that machine learning has been a part of its Hummingbird algorithm for months. This move to incorporate artificial intelligence – dubbed “Rankbrain” – into search results has been something of a turning point in Google’s ultimate quest to deliver a brutally efficient ghana email address user experience. Google is now able to understand a wide range of queries better than ever before and, more importantly, interpret semantic meanings. So what are the implications for SEO, specifically in terms of content creation?
Table of Contents [ Hide ]
1 Is this the end of keyword targeting?
2 User interaction analysis
3 Growing role of voice search
Is this the end of keyword targeting?
For many years, the primary approach to SEO content has been to select the keywords you wanted to target and place them strategically throughout your site. While this is still the case to a certain extent, with the help of Rankbrain, Google is much better at interpreting meaning when it comes to keywords.
For example, if you wanted to rank for “ hotels in Glasgow ” you would need to mention this keyword throughout the content, as well as in the title tag and H1 heading tag. Google is increasingly able to interpret semantics so if you had “ luxury hotel experience Glasgow ” in your content, it is now more likely to rank for the term “ hotels in Glasgow ” as well. This means that content writers can now focus on creating authentically descriptive pages and still rank for generic industry terms without worrying about how many times they’ve fit certain words into the mix.
Significantly, longer tail search terms are becoming the norm. People often don't get the results they expect from one or two word searches. To get quality results they go with up to five words.
CEO and Project Manager
May 10, 2016
There have been significant developments in SEO practices in a relatively short period of time, and with each new algorithm update, marketers have been looking for ways to adapt to the complex set of rules that Google uses to rank search results.
However, in October of last year, Google announced that machine learning has been a part of its Hummingbird algorithm for months. This move to incorporate artificial intelligence – dubbed “Rankbrain” – into search results has been something of a turning point in Google’s ultimate quest to deliver a brutally efficient ghana email address user experience. Google is now able to understand a wide range of queries better than ever before and, more importantly, interpret semantic meanings. So what are the implications for SEO, specifically in terms of content creation?
Table of Contents [ Hide ]
1 Is this the end of keyword targeting?
2 User interaction analysis
3 Growing role of voice search
Is this the end of keyword targeting?
For many years, the primary approach to SEO content has been to select the keywords you wanted to target and place them strategically throughout your site. While this is still the case to a certain extent, with the help of Rankbrain, Google is much better at interpreting meaning when it comes to keywords.
For example, if you wanted to rank for “ hotels in Glasgow ” you would need to mention this keyword throughout the content, as well as in the title tag and H1 heading tag. Google is increasingly able to interpret semantics so if you had “ luxury hotel experience Glasgow ” in your content, it is now more likely to rank for the term “ hotels in Glasgow ” as well. This means that content writers can now focus on creating authentically descriptive pages and still rank for generic industry terms without worrying about how many times they’ve fit certain words into the mix.
Significantly, longer tail search terms are becoming the norm. People often don't get the results they expect from one or two word searches. To get quality results they go with up to five words.