It’s crucial to be in touch with the latest trends and evolving technologies to match with an ever-changing request of the industry. That way, you can be on the top of success and become efficient in your business. When it comes to SEO for your business, you have to learn the differences between new vs old SEO.
In this post, we will discuss evolving technologies that even SEO Companies in India are using for an impactful digital marketing strategy.
Let’s get started!
Natural Language Processing
Google officially launched Bidirectional Encoder Representations from BERT algorithm update in December 2019. This update brought NLP into the trend, which has been a technology to count on to watch out for the SEO industry.
With the help of NLP, Google understands what a sentence means through its context.
It means Google doesn’t rely on a specific word, phrase, or what we call in professional language, ‘keywords.’ Rather, they focus on the intent behind each search.
How to use NLP for SEO processes
With NLP, providing informational content is crucial than anything else. Focus on high-quality content that is the perfect answer to search queries.
Natural Language Generation (NLG)
NLG can help SEOs to produce meaningful sentences and phrases just as our natural language, but by using technology.
Spend hours thinking about what to write rather than battling rewriting other writers’ block. NLG gets you relief from that via automation. If you are a content professional, it helps you to emphasize enhancing the content and making it reading-friendly. To further enhance your content strategy and boost your online presence, consider leveraging Instalinko’s niche edits. They can assist in improving your content’s visibility and reach by strategically building relevant links to your content.
There are various cases for NLG where it’s used to write short content like headlines, meeting memos, product descriptions, etc.
How to use NLG for SEO Processes
There are many use cases for NLG. With various tools available out there, it’s easy to create landing page hero text, blog introduction, listicles, Facebook primary text, meta description, etc.
TF*IDF
Without getting more confused, TF*IDF stands for “Term Frequency times Inverse Document Frequency”.
It helps you measure how to use a term on a specific page and compare it to a huge array of pages for a precise keyword.
TF*IDF might seem like a measurement for calculating keyword density, but it actually measures the importance of keyword expression by comparing it to that keyword’s rate in a massive set of documents.
It is not clear if Google uses TF*IDF in the algorithms, or it’s only a good practice to integrate it into your on-page SEO technique.
How to use TF*IDF for your SEO processes
With the right technology and knowledge about keywords, TF*IDF suggests adding or removing phrases from the pages. You can optimize your page on the basis of suggestions, TF*IDF scores for that keyword. You can read more about the latest SEO trends at https://www.marketsmiths.co/
GPT-3 for automated content creation
This works in a stimulating method because it has been trained with a huge pool of datasets to impersonate human writing. This comprises Wikipedia, Common Crawl dataset, relevant historical books, etc.
When you use GPT-3 API with a writing prompt, it attempts to forecast what would come after a word or sentence on the basis of information it has read on the internet.
How to Use GPT-3 for automated content creation
Email writing: It can be a great tool for e-mail marketing. All you have to do is provide some bullet points, and it will automatically write what you want it to.
First draft writing: It’s not easy to write the first draft. With GPT-3, you can do it in no time.
To Conclude,
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