4 Ways Google's BERT Update Impacts Your SEO

Table of Contents

1. Introduction
2. What is BERT?
3. How BERT Impacts Search Results
4. BERT and RankBrain
5. BERT and Featured Snippets
6. The Importance of Quality Content
7. Building Pages Around Concepts
8. The Role of Schema.org
9. FAQ Markup for Schema
10. Conclusion

What is BERT and How it Impacts SEO

Search engine optimization (SEO) is constantly evolving, and the latest development is BERT. BERT stands for bi-directional encoder representation from transformers, and it is a new technology that is transforming the way SEO works. In this article, we will explore what BERT is, how it impacts search results, and how You can take AdVantage of it to improve your Website's rankings and traffic.

What is BERT?

At its Core, BERT is a machine learning algorithm that matches search results with intent. It is designed to better understand the Context of a search query and provide more accurate results. BERT is an additional element on top of Google's existing machine learning technology, RankBrain.

How BERT Impacts Search Results

BERT impacts search results by better understanding the intent behind a search query. For example, if someone searches for "can you get medicine for someone pharmacy," BERT will understand that the person is asking if they can get medicine for someone else, rather than for themselves. This means that search results will be more accurate and Relevant to the user's query.

BERT and RankBrain

RankBrain is Google's existing machine learning technology, and BERT builds on top of it. RankBrain is designed to better understand the meaning behind a search query, while BERT is designed to better understand the context of a search query. Together, these technologies provide a more accurate and relevant search experience for users.

BERT and Featured Snippets

Featured snippets are a prominent feature in Google's search results, and BERT impacts them as well. With BERT, Google is better able to identify what people are looking for and provide more accurate featured snippets. This means that if you want to appear in a featured snippet, you need to ensure that your content is high-quality and provides a clear answer to the user's query.

The Importance of Quality Content

With BERT, poorly written thin content is going to be penalized. This means that if your content has grammar and spelling errors and doesn't provide a clear answer to the user's query, it will not rank well in search results. To ensure that your content is high-quality, you need to focus on building pages around specific concepts and providing detailed answers to common questions.

Building Pages Around Concepts

BERT is all about understanding entities and concepts, and this is where schema.org comes in. Schema.org allows you to markup a webpage with all the specific things that make up that webpage and whatever that particular entity is. This means that you need to build your FAQ's around specific concepts and have pages built around those concepts.

The Role of Schema.org

Schema.org is an important part of BERT because it allows Google to better understand the context of a webpage. By using schema.org markup, you can provide Google with detailed information about the content on your webpage, including the main entity and related concepts. This will help Google to better understand your content and provide more accurate search results.

FAQ Markup for Schema

Google now has FAQ markup for schema, which means that you can provide detailed answers to common questions and have them appear in search results. This is a great way to improve your website's visibility and provide users with the information they are looking for.

Conclusion

BERT is a new technology that is transforming the way SEO works. By understanding how BERT impacts search results and taking steps to optimize your content for BERT, you can improve your website's rankings and traffic. Focus on building high-quality content around specific concepts, using schema.org markup, and providing detailed answers to common questions. With these strategies in place, you can take advantage of BERT and stay ahead of the competition.

Highlights

• BERT is a machine learning algorithm that matches search results with intent.
• BERT is designed to better understand the context of a search query and provide more accurate results.
• BERT builds on top of Google's existing machine learning technology, RankBrain.
• BERT impacts featured snippets by providing more accurate results.
• Poorly written thin content will be penalized with BERT.
• Schema.org is an important part of BERT because it allows Google to better understand the context of a webpage.
• FAQ markup for schema is a great way to improve your website's visibility and provide users with the information they are looking for.

FAQ

Q: What is BERT? A: BERT is a machine learning algorithm that matches search results with intent.

Q: How does BERT impact search results? A: BERT impacts search results by better understanding the context of a search query and providing more accurate results.

Q: What is the role of schema.org in BERT? A: Schema.org allows you to markup a webpage with all the specific things that make up that webpage and whatever that particular entity is. This helps Google to better understand the context of your content and provide more accurate search results.

Q: How can I optimize my content for BERT? A: To optimize your content for BERT, focus on building high-quality content around specific concepts, using schema.org markup, and providing detailed answers to common questions.