Future of AI Search: 4 Considerations for SEO Automation

Google’s value proposition for consumers is pretty straight forward – consumers use the search engine to find the most relevant and timely information on their search topic. In return, Google strives to give them the best answer. To keep up, Google is constantly learning with the help of the best technologies like Artificial Intelligence (AI). Artificial intelligence enables analysis of user behavior, interests and needs which help Google serve up the most relevant information time after time. Over time, many marketing disciplines based on artificial intelligence have developed – one being SEO automation, which has effectively optimized search activities on the web and provided relevant results to users.

Recommended AI ML Story: Google AI Team Explain How ML and Semantic Engines Improve Developer Productivity

SEO automation is a relatively new concept in digital marketing. Its challenge is to reduce the time from data acquisition to insights to action, which AI plays a crucial role in solving. SEO pros will need to invest more time and resources into developing automation in the years to come. In this article, I will introduce new ideas to investigate, including using Edge technology, AI-driven SEO analysis and highly-customizable intelligent alerts.

Content strategy based on user intent

Consumers expect Google to provide answers to their questions in the shortest possible time. But in many cases, they do not know precisely which keywords to search for a better answer. Google has included user intent identification to solve this problem, provide relevant content and increase user satisfaction.

The challenge for content strategists starts here. They need to identify the user intent and keywords they might use and develop a content strategy according to those hypotheses. Also, Google is working hard to identify the right intention behind a user’s search, irrespective of the type of queries.

This is where artificial intelligence and deep learning come in handy for SEOs. Artificial intelligence can help identify user intent by identifying user behavior in search of different keywords, examining related questions and queries and users’ interest in reading helpful content.

With the help of artificial intelligence in identifying user intent, SEO automation can formulate an accurate content strategy based on the learning machine outputs.

Sophisticated Content production

According to the Google MUM update, it is vital to publish unique content covering specific topics not covered by other websites to attract more user satisfaction.

To create an exceptional content strategy, you should identify the overall interests of users, provide attractive topics that cover the whole of those interests, provide detailed subheadings and prioritize them by their relevance to the business goals.

First, marketers need to identify areas where there is a lack of specialized and practical content. To do this, they need a complete and broad view of all the web content, which is a difficult task.

This is where AI helps marketers to take a holistic look at all the web content relevant to their interests and identify the topics that need to be completed. In the next step, artificial intelligence helps SEO and content strategists to prepare good content, structure it according to SEO principles, and finally schedule and publish it with SEO automation tools.

AI ML Blogs: Biomed Expert Backs AI’s Role in Improving Human Longevity

It might be interesting to know how artificial intelligence does this. You need a developer expert proficient in various programming languages such as Python. You introduce a page set that produces content related to your main topic as a database and reference. The programmer develops a program to search the database to identify topics and keywords related to your main subject. This work generates a cloud of keywords and topics with repetition and abundance, enabling you to identify topics that match your strategy.

According to the content cloud, the parts of the content that need to be completed are identified and the topics that help to complete them can also be defined.

Identify audience interest with Google Discover

In recent years, Google has made efforts to provide the best results for users. During these years, the artificial intelligence of the Google search engine has become very strong and has reached a relative understanding. Google knows so much about you that it can even show you something before you search for it. Google Discover is a mobile service that helps you find content that you didn’t even know you needed.

In the Discover service, Google suggests content based on your search history and the searches made on your mobile phone. This feature of Google pays attention to your activity on the web and apps and your location information. By following some of your favorite topics, you are building your profile in Google, and you specify which topics Google Discover should show to you or not. So far, Google Discover has correctly identified your needs and interests.

Google Discover has paved half the way for us, and the rest is done with the help of artificial intelligence. By accessing the Google Discover API and using the capacities of artificial intelligence in data exploration and identifying categories you can Identify audience interest.  For example, you can identify what products your audience needs the most in your geographic and local area, which words they searched for the most, which topics they spent more time on, and so on.

Creating specific locally-focused content is so important, especially for local businesses. Although identifying local competitors will not be difficult, building a competitive advantage over them is challenging because you have the same audience. Identifying the tendencies of online audiences using Google Discover and artificial intelligence will make your job much easier, especially for local businesses that have a closer relationship with their audience and need to respond to their needs in a more complex and specialized way. Therefore, artificial intelligence will be beneficial in identifying specialized trends in audience behavior.

After completing this cycle and compiling successive steps consisting of:

1. Accessing the Google Discover API,
2. Coding and developing an artificial intelligence program to extract information on customer preferences,
3. Identifying relevant topics and specific keywords,
4. Producing compelling content and publishing  in suitable channels,
5. Developing an automated SEO algorithm.

All these steps can become an automatic process in your business.

Use Natural Language Question Answering to improve user satisfaction

In many cases, people do not know exactly what keywords to search to find their desired results.

Or many times they don’t have enough time and patience to read long texts to find their answer and they prefer to reach the result so quickly.This is where they start asking a question in the Google search box and the search engine returns the best answer in one or more sentences. How does Google understand your question and answer it?

Google uses Natural Language Question Answering Systems to interpret the question and provide the best content in response.

In the Natural Language Question Answering system, Google will only provide you with a short and specific answer and you will no longer need to read a long document to get the result. Google even underlines the sentence that is your answer and highlights it so you can see your answer as quickly as possible in the related article.

How can you use this Google feature to improve your SEO?

1. Using AI, identify a set of questions raised in your field with its frequency and priority.
2. Use your experts to produce content that fully and clearly answers the questions. AI can also help you in this field.
3. Use SEO automation and predetermined processes to SEO the content. Try to specifically SEO the answer sentence.
4. Add this process to one of the SEO automation components.

The difference between this step and the other mentioned cases is that you have taken a step forward and started creating content. This stage is much more complicated than the previous stages because you have to produce a type of content that can answer the question and create added value for users. This step is also done using artificial intelligence and Natural Language Generation.

Conclusion

In this article, we examined SEO processes, such as content strategy, professional content production, and using Google services and facilities to understand the user intent better. We also explained the services that artificial intelligence provides to improve this process, especially in SEO automation.

Implementing artificial intelligence in SEO automation requires expertise and an investment of time and money. Its implementation from A to Z is not cost-effective for many businesses. However, many businesses have the necessary infrastructure to provide artificial intelligence and SEO automation services and operate exclusively in this field. By partnering with experts, you can save time and money while benefiting from their specialized knowledge.