Why SEO and Machine Learning Are Joining Forces

Machine learning in AI has affected many fields specially those which require repetitive tasks such as marketing automation. Manual work conditions are changing rapidly and those who are adopting to change and continuously trying to implement new methods are those who will win eventually.


SEO has been a backbone for many online businesses in the past. Even today, a significant portion of websites and online businesses rely on traffic from search engines to help them stay afloat. First thing remains traffic because if traffic is coming then other things come like live chat app in website to convert more visitors from that traffic.

To ensure that your website maintains and improves its ranking, it will be best if you start to consider using machine learning in your SEO work. By employing machine learning in your SEO tasks, your team will be able to produce results more efficiently.

Ever since Google came out with RankBrain in 2015, machine learning has made itself known in SEO circles. To stay relevant, individuals and businesses need to adopt new technologies and innovate in SEO; otherwise, it will only get increasingly more difficult.


Here are some reasons why SEO and machine learning are joining forces:

  1. Data drove results.

Previously, organizations relied on their in-house SEO expert to lead their SEO strategy. Most of what these experts had to say on the basis of their experience and knowledge went into production. Unfortunately, back then, there was no way to assess whether a strategy would work or not.

A lack of data and an even further shortage of accessibility made SEO decision making nothing short of a challenge. These days, things are relatively different.

Companies and businesses that have access to tools like MarketBrew are able to identify the search engines they are most interested in ranking on. The tool then provides insights and data that will allow the companies to improve their rankings and work in a more goal-oriented manner.

Making honest, data-driven decisions is the best way to eliminate any guesswork that you might have to rely on. Assumptions are acceptable, so as long as sufficient data or industry standards back them up.

Making and adhering to the right kind of SEO strategy is a lot easier if you have an accompanying tool or piece of software that can aid you when you’re stuck. Businesses also see the benefit that these tools bring to the table.

When it comes to attaining business goals and success, organizations will find it easier to innovate and incorporate technology into their workflow.

Companies that rely on data-driven decisions like Google, Amazon, etc. can show real growth and expand upon what they are already good at while improving areas where they lack slightly.


  1. Scalable efforts.

One significant reason for machine learning’s popularity was that scalability was no longer an issue. Once you teach a machine how to do a task, the machine will continue to do it until it meets an unexpected condition or fails to operate.

Machine learning finds ways to improve on things that humans do and make the overall process more efficient, better. That basically sums up what machine learning is and does.

By finding ways to do time-consuming tasks in a matter of moments, machine learning tools help alleviate the workload that SEO teams have, some people start adopting and implementing then others do reciprocal determinism but most beneficiaries always remain those who adapt the change first. This allows teams to focus on tasks that will help generate more traffic and make the site more valuable for its audience.

When machine learning algorithms are done with a massive chunk of data, marketers are left with actionable insights that allow them to produce better results and make informed decisions.


  1. Better automation.

Automations are essential.

Why have your employees spend time doing manual, labor-intensive tasks when you can let some bits of software work their magic? Doing these sorts of tasks is not only less beneficial for your business, but they also put a dent in your staff’s morale.

In SEO, there is always something to do. The number of tasks seems to increase each day. With machine learning tools and automation software, you can reduce the amount of work your team had to do by a significant portion.

According to the IFR (International Federation of Robotics), around 57% of employers want to use automation solutions to improve performance and productivity. By giving your employees and staff what they want, you will be able to better employee mood, but they will also show better performance. It’s a win-win situation.


  1. Better people management.

Competition in SEO has always been rough, but these days, ranking a website organically has become a severe challenge.

Back in the day, if a company really wanted to get results quickly, they’d hire an SEO expert, someone with five-plus years of experience, to lead a small team of dedicated SEO professionals. Today, even having a small army of SEO professionals might not be enough to rank organically in certain competitive regions like the US.

New businesses also have varying ideas about SEO. The majority of new companies prefer to build an audience through social media and influencer marketing, as it brings leads and results faster than SEO. The cost takes to get to the first page of the SERP (Search Engine Results Page) which might scare off relatively small businesses.

To get better results without breaking the bank, companies are willing to invest in better tools. Tools powered by AI and machine learning help eliminate a lot of time-consuming tasks such as sorting through lists and gathering data.

With machine learning powered tools, businesses can better determine the right kind of people to hire. They might opt to employ an off-page SEO expert if that is the one area they are truly lacking.



SEO and machine learning are poised to grow closer in the future. The impact that machine learning has on business processes is undeniable. As such, companies need to reevaluate their short term as well as their long-term SEO strategies to decide when and how to include machine learning in the mix.

Over time, we can expect to see machine learning play an even more significant role in SEO. Its disruptive nature is something to be aware of. How it will impact people in SEO and the online community, in general, is yet to be seen, but we should remain hopeful.

Wider adoption of AI and ML tools might be a little nerve wrecking for SEO professionals who are less tech savvy, but ultimately these tools will improve the way SEO is done.

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