As you can see, the context behind this search is asking if someone traveling from Brazil to the United States needs a visa. While Google used to have a hard time figuring out what such queries meant, now using the BERT algorithm it understands the context behind each search and provides the user with the right information.
With NLP, informative content is more important than ever. However, as an SEO, you can’t optimize for BERT.
Instead, you should focus on creating high-quality content that accurately answers the search query. If you do this you will definitely rank high.
Natural Language Generation NLG for short-form content
With NLG, SEOs can now generate meaningful phrases and bahrain mobile database sentences just like natural language, but using technology. Instead of struggling with writer’s block and spending a lot of time thinking about what to write, NLG removes this burden through automation. If you are a content creator, this will help you focus on polishing your content and making it more readable.
While NLG has many use cases, it is currently best used for writing short-form content such as headlines, product descriptions, meeting notes, etc.
How to Use NLG in SEO
There are many use cases for NLG technology. Using tools like Copy.ai , you can create landing page hero text, Facebook lead copy, blog introductions, email subject lines, lists, meta descriptions, and more.