SEO and Artificial Intelligence — Five Scenario You Must Follow
Not long ago, Artificial Intelligence was an undiscovered horizon in the digital realm and now here we are all set to make it a new essential in our daily routine. Technologies like Google assistant and Siri have been helping us search things and send messages to our contacts without even needing to type a single word. We use Google traffic before starting commutation. Facebook also uses Artificial Intelligence to show personalized results in your news feed as per your interests and nature of posts you like. With such an extent of AI integration into personal, social, and business domains, so can SEO arena stay untouched?
Google, alone, bears billions of searches per day. Despite years of organized accumulation of search queries made daily on the search engine giant, Google still discovers unique queries every single minute.
Presently, people need and want certain answers from Google. Rather than just typing in a couple of words, people nowadays write whole sentences making it complicated for Google to show the right search result to complement the user queries.
SEO and Artificial Intelligence: 5 Scenario You Must Follow
1. Judicious Keyword Optimization
K-E-Y-W-O-R-D, this seven-lettered word, hold much more potential than one can think. Here you should remember three things: list keywords, grouping keywords, and create exemplars. Start with collecting keyword data using a reliable keyword tool. It automatically shows the grouped keywords on the basis of your main target keyword. Also, you can create a one pillar page considering the exemplary keyword such as “cheap (your product/service) in (region)” that can rank on the search engine for all relevant search queries.
Furthermore, you can also assess the searches in order to identify keyword phrases that you need to optimize for.
2. Use Predictive Analytics and Cluster Analysis
What if you can save all your objectives into a system and let it create a design facilitating your users’ needs effectively? This is what we achieve with the generative design. Such concept can be used under predictive analytics and cluster analysis.
a.) Cluster Analysis
SEO professionals use cluster analysis to create best topic clusters that simply signifies for auditing your present pages and collecting them into topics. This not just assist you to enhance the PageRank distribution but also aids the search engines in keying out pages depending on a respective topic.
The structure depends on the key pillar content as well as nodes of sub-content that links to the key pillar content. It will provide the search engines with a clear signal that the main pillar content owns a greater authority on the provided topic, making it rank higher in the SERPs.
b.) Predictive Analytics
Estimating the highest search demand for your target keywords is essential. Tools such as Google Trends provides us data that rely on previous activities, yet can be effective in predictive analytics and help us look into the future — ultimately identifying the search trends to improve sales.
3. Leverage the Power of Customer Feedback
Marketers have tons of data as text, pictures, videos, as well as audio files. User reviews have an important role to play in it. Reviews that people write use real language that the users might also want to address.
Positive reviews for different brands and business can be exceedingly helpful. Firstly, try to create a complete and optimized listing on Google My Business. It is important for your business to be visible on Google local if you are eager to be discovered by the masses. Google Maps marketing is also an essential component in improving your local visibility.
User reviews allow businesses to get higher ranking on Google for hordes of newer search queries where Google perceives a business to be relevant depending on the review text written by the users. Almost every reputable SEO company has been working on driving benefits by customer feedbacks and making them work to up the website ranking.
4. Accurately Anticipate Customer’s Needs with Data
We have data, tons of it! But when it comes to direct recommendations based on that data, the numbers are not that much impressive. How great it would be if you could get a complete view of all your buyers from your CRM.
Many software’s out there have been providing predictions and recommendations on the basis of the present customer data so that you can capitalize on the crucial insights for assisting your customers to complete the purchase or make a sale.
A professional marketer should always stay capable of assessing and anticipating the customer’s needs much before they do.
5. AI-Powered Chatbots For Stimulating Sales
One of the best things about Artificial Intelligence is the invention of chatbot. Many big and small brands have already been using the chatbots to help customers address their queries and make the sale — eventually.
These tools behave more like a friendly human who engages your users into the active conversation just like a human does. Moreover, a chatbot works round the clock without any break. To make the interaction more effective, it further personalizes the customer behavior and fabricates a solid relationship between customer and brand.