As SEO and the field of data science draw closer, Google is taking a step forward by introducing an algorithm based on a neural network to better understand user intent.
Neural Matching is an algorithm that utilizes Google’s latest AI technology to be able to generate more diverse search results. This AI technology allows Google to understand and analyze the language much better. Google will be able to process the question to provide a result that answers the question properly through understanding it better.
Future of SEO
With the implementation of AI into the Google search engine, this would mean that online search becomes more personalized. This also means the development and implementation of new SEO strategies using Google’s AI technology to allow our websites to be able to rank better in search results.
This makes question-based and exact search terms even more relevant than before, as Google can now understand these questions more deeply, and would be able to generate results that you would not have been able to find before. With voice and visual search becoming more important, having AI technology will surely bring about smarter results that would benefit more users and websites.
Understanding Neural Matching
Google uses machine learning as users search more complex questions or scenarios and click through to find the answer they are looking for. The customer’s journey while shopping starts with an idea, followed by research and finishing with the purchase decision.
Sparking users’ interest with display ads, Facebook Ads, Social Media, paid search ads, or optimized content in a blog or landing page that targets their interests when they aren’t familiar with your brand or product are all ways to begin your engagement.
Follow up with materials optimized for SEO that support research around your brand and/or product with educational pieces in a blog or in PR (news publications, podcasts, and even videos of conferences or trade show presentations) while including reviews from reputable sources outside of your own company.
The more you can provide your audience with information outside of your website, the more they will become familiar with your brand and build trust. In the end, optimizing products on your website for those searches when the user is ready to make a purchase will complete the journey.
It’s best to understand the problem you are trying to solve with your product or service and the journey your user will go through in order to make a decision to purchase. Assisted content that is interlinked on and off the website will help users during their purchase process, engages your user, provides more information, and applies to the machine learning algorithm.
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