Every SEO decision is based on a prediction about the future. In the past, these predictions were made using experience, intuition, and best guesses. But with the rise of big data, we now have the ability to use large data sets and machine learning to make more accurate SEO predictions.
Today we have access to more data than ever before. But sifting through all of this data to find the nuggets of insights that will help us improve our SEO can be a daunting task.
Fortunately, recent developments in artificial intelligence and machine learning can help us make sense of all this data and build better SEO strategies. As search marketers, we need to understand how AI can help us with our jobs.
Here are seven ways AI can help us build better SEO data analysis strategies:
1. Harvest User Interaction Data
As search marketers, we are required to think outside the box to come up with new and innovative ideas that will help our clients rank higher in search engines. This means that we need to be constantly on the lookout for new data sources that can help us better understand how users interact with our client’s websites.
In the past, we relied on sources such as Google Analytics and Google Search Console to give us insights into how users interact with our client’s websites. However, these data sources only give us a limited view of how users interact with websites.
Limitations of Google Analytics
Google Analytics is a great tool, but it has its limitations. For example, by default, it only shows keywords for a small percentage of your traffic. This is because, most of the time, users don’t type in keyword phrases when they are looking for something on the internet. Instead, they usually just type in a few keywords or even just a single word.
Now, you may use Google Tag Manager to set up internal and external click events. The goal of setting up these events could be to compile keywords that you can use to drive more traffic and convert visitors to customers by analyzing keywords that have proven to drive conversions. However, this is a lot of work, and it can be difficult to get accurate data.
Another limitation of Google Analytics is that it doesn’t show you what people are doing on your website after they have clicked on your listing in the search results. This is important data to have because it can give you insights into how well your listing is performing and whether or not users are finding what they are looking for on your website.
How AI SEO Can Help?
There are a number of ways you can use AI SEO tools to harvest user interaction data. One way is by using Google’s Natural Language API to extract data from your website’s search traffic.
This API can give you insights into the keywords that users are typing into Google to find your website. It can also give you insights into the intent behind these keywords. This data can be extremely valuable in helping you to understand what users are looking for when they visit your website.
Another way you can use AI to harvest user interaction data is by using a tool like DeepCrawl. DeepCrawl is a tool that crawls your website and collects data about how users interact with your website. This data is very helpful in understanding how users interact with the website and what they are looking for when they visit the website.
2. Segment Conversions
Data segmentation is a process of dividing your data into smaller groups so that you can better understand it. For example, if you are analyzing your website’s traffic data, you may want to segment it by country, device, referring source, etc.
Data segmentation is very important in SEO because it allows you to understand your data better and make more informed decisions about your SEO strategy.
In the past, data segmentation was a very manual process. This meant that it was time-consuming and often required the help of a data analyst. However, with the help of AI, data segmentation can be done automatically.
There are several AI tools that you can use for data segmentation. One tool is Google’s AutoML. AutoML is a tool that allows you to train your own machine-learning models. This means that you can use it to segment your data in any way you want.
The key here is to identify trends and patterns in your data. By using AI SEO tools to segment your data, you can easily identify these trends and patterns. This information is very valuable in helping you to improve your SEO strategy.
3. Analyze Branded vs. Non-branded Traffic
This may sound like a no-brainer, but it’s actually very important to analyze your traffic data by branded and non-branded keywords.
The reason why this is important is that it can give you insights into the effectiveness of your brand. If you find that your branded keywords are driving a lot of traffic, but your non-branded keywords are not, then this could be an indication that your brand is not as strong as it could be.
On the other hand, if you find that your non-branded keywords are driving a lot of traffic but your branded keywords are not, then this could be an indication that your brand is not being used effectively.
Either way, this information is very valuable in helping you to improve your SEO strategy.
Google Data Studio has proven to be an extremely valuable tool for SEO analysts. It allows you to quickly and easily segment your data, identify trends and patterns, and make more informed decisions about your SEO strategy.
But it takes a lot of effort to set up reports manually. AI SEO tools, on the other hand, can automate this process and make it much easier for you. All you need is to integrate these tools into your workflow, and you will be able to reap the benefits of AI SEO.
DeepCrawl is one of the most popular AI-powered tools that crawls your website and collects data about how users interact with your website. This data is then used to segment your traffic data so you can better understand it.
4. Conduct A Content Gap Analysis
Content gap analysis is a process of identifying the content opportunities that your competitors are not currently exploiting. It can also help you to identify the content that your users are looking for, but you are not currently providing.
Now there are a number of methods and tools that you can use for content gap analysis. But the issue is that most of these methods and tools are very time-consuming.
With AI SEO, you can conduct a content gap analysis very quickly and easily. All you need to do is enter a few competitors into the tool, and it will analyze their content for you. In addition, the tool will also analyze your own content so you can see how it stacks up against your competitors.
Tools like CORE AI can not only help you assess your content gap, but they can also help you to analyze keywords, backlinks, and a whole host of other data points. It uses artificial neural networks to track and learn keyword trends and compare them against 200 ranking patterns to help you create a solid strategy to make the most of hidden opportunities.
5. Leverage Predictive Search
The way that people search has changed. People are now using more natural language when they search. This is where predictive search comes in.
A predictive search is a type of search where the results are based on what the user is likely to search for. This means that the results are more relevant to the user, and it also reduces the amount of time that the user has to spend searching.
Google is already using predictive search in its search results. By using predictive AI in your SEO strategy, you can stay ahead of the curve and make sure that your website is being found by the people who are looking for it.
These tools work by analyzing past search data and using it to predict future trends. This means that they are always up-to-date with the latest search trends. You can also use your AI SEO tool in conjunction with Google Trends to get an even better idea of what people are searching for.
6. Use Behavioral Sequencing
Each page on your website has a purpose. And each page has a role to play in the user journey. By understanding the role of each page, you can ensure that your website is optimized for conversion.
Behavioral sequencing is a process of understanding how users interact with your website. It involves tracking the user journey from start to finish and understanding what actions they take on each page.
As an SEO analyst, you are required to expand your keyword focus for content that has assisted conversion. By using AI, you can quickly and easily segment your data, identify trends and patterns, and make more informed decisions about your SEO strategy.
The easiest way to do this is to feed Google Analytics data into your AI SEO tool. The tool will then analyze the data and provide you with insights into how users interact with your website.
7. Focus On Striking Distance Keywords
Did you ever notice how the majority of people only ever click on the first few results in Google? This is because people trust Google to only show the best results at the top of the page.
This means that if you want to get more traffic to your website, you need to focus on ranking for keywords that are within striking distance of the first page.
A striking distance keyword is a keyword that is either currently on the first page but not in the top five results or a keyword that is just outside of the top ten results. The benefit of focusing on these keywords is that you are more likely to get traffic to your website without having to put in too much effort.
Google Search Console is a great tool for finding striking-distance keywords. But it is time-consuming and, if not used correctly, can be quite inaccurate.
An AI SEO tool, on the other hand, can quickly and easily find striking-distance keywords for you. It focuses on a variety of factors, including search volume, competition, and relevance, to find the best striking-distance keywords for your website.
There are a lot of different ways to use AI to analyze data and build an effective SEO strategy. These are just a few examples. As you can see, AI provides a wealth of possibilities for those who want to get the most out of their data.
If you want to stay ahead of the competition, you need to start using AI in your SEO strategy. It is the only way to get the most accurate and up-to-date data. And it is the only way to ensure that your website is being found by the people who are looking for it.
November 25, 2022 at 3:14 pm
Impressive one! This article discusses how artificial intelligence can help to implement critical SEO data analysis strategies. Read on to find out.
December 27, 2022 at 11:36 am
With the help of AI, you need not reinvent the wheel. All you need to do is provide data and ground rules to establish what your AI needs to do, and it will take care of the rest. Keep writing good articles!
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