Google’s Next Step After Bard: Making SERP More Contextual and Relevant

A Closer Look at Google’s Next Big Move

Over the years, Google has heavily invested in artificial intelligence (AI) to enhance the relevance and usefulness of its search results. One of the most noteworthy AI-powered tools Google recently developed is Bard. Bard is a large language model (LLM) AI that can generate text, translate languages, write creative content, and even casually answer your questions.

And that’s not all. At the recent I/O event, Google introduced yet another AI-powered feature that is set to revolutionize the way we search – Search Generative AI (SGE). This innovative tool is designed to provide more comprehensive and context-specific answers to our queries.

So, why is Google introducing generative AI when it already has Bard, and how will it impact search results and Google Ads? We’ll explore all the exciting details in this blog, so stay tuned!

What is Search Generative AI (SGE)? 

Google’s Search Generative AI is a new and powerful technology that has the potential to change the way we interact with the Google SERP. It uses machine learning to generate text, translate languages, and answer questions in a highly informative way. The primary objective for creating search-specific AI is to enhance the Google Search user experience by offering more comprehensive and contextually relevant responses to their questions.

SGE can be used to enhance the search experience in a number of ways, such as generating summaries of complex topics, providing contextually relevant answers to questions, translating search results into multiple languages, and more.

Bard vs. Google SGE: A Tale of Two Tools 

Bard and SGE are both generative AI based on large language models (LLMs) developed by Google AI. However, there are some key differences between the two. Here is a table that summarizes the key differences between Bard and SGE:

Why Google’s Quest for AI Excellence Doesn’t Stop at Bard

Bard is a powerful AI tool, but it’s not enough for Google Search. To make SERPs more contextual and relevant, Google needs to develop new AI models that are specifically designed for search. Here are the two reasons why:

• Bard is Not Designed for Search: – Bard is a general-purpose AI model, which means that it can be used for a variety of tasks, including search. However, it’s not specifically designed for this. As a result, it may not be able to understand the nuances of search queries and provide the most relevant results.

• Bard is Still Under Development: – Bard is relatively new, and it’s still under development. So, when you search for something specific, the results provided by Bard may not be entirely relevant to your needs.

How Search Generative AI Will Reshape Google Ads

Google’s generative AI is the next frontier for the search engine; with a more intuitive and natural search experience, it enables a smarter yet simpler way of providing search results to users across the board.

Recently, Google shared a blog post detailing the upcoming SGE interface, shedding light on the exciting changes to come. As part of this update, dedicated slots for Google Ads will be introduced throughout the page, enhancing the overall reach. These dedicated slots will make it easier and smarter to hunt for leads.

Key Takeaways for Digital Marketers 

In conclusion, Google’s investment in AI has played a significant role in enhancing the relevance and usefulness of its search results. With the introduction of Search Generative AI, Google aims to provide more comprehensive and context-specific answers to users’ queries, making search results more contextual and relevant.

Digital marketers stand to benefit significantly from these advancements. The forthcoming SGE interface promises to seamlessly integrate Google Ads throughout the page, expanding the scope and reach of advertising efforts. This development will make lead generation more accessible, efficient, and intelligent. It’s an exciting transformation, and we eagerly anticipate the impact these changes will have on the future of search.