The Future of LLMs in Search Engines: Will Google Become Obsolete?

For over a decade, Google has dominated the search engine world, not just because of the search quality but also due to its powerful algorithms, massive data ecosystem and seamless integration across various platforms. 

Whether it’s searching for information, discovering products or shopping online, Google was the go-to tool. However, the tides are changing. With the increase in the pace of innovation in artificial intelligence (AI), large language models (LLMs) are now at the centre of a technological revolution. 

With OpenAI's GPT, Google's own Gemini, and Microsoft's integration of AI into Bing, the way users are finding and consuming information has changed drastically. 

While they have not taken Google yet, LLMs have transformed into a new gateway and are challenging the traditional “search and click” model that has ruled the web for years now. 

Amidst this fast trajectory, it raises a critical question: “Can LLMs make Google obsolete, or will it evolve to lead the change?”

In this blog, a leading SEO agency in Kolkata, like BUSFAM, provides insights into the future of LLMs and whether they hold the chance to replace Google.

What are LLMs?

LLMs, or Large Language Models, are advanced AI systems trained on massive datasets. They can understand and generate human language to perform a wide range of tasks like answering complex questions, summarising content, translating languages, writing code, and even holding conversations.

LLMs are incredibly flexible and have a remarkable ability to make predictions based on a relatively small number of prompts or inputs.

What makes Google different from LLMs is that traditional search engines work by ranking several webpages based on their relevance. For example, whenever you search for anything, Google does not provide direct answers; rather, it displays existing webpages and presents them in lists. 

On the other hand, LLMs synthesise information from a variety of sources and provide a direct answer tailored to the user’s query. This makes the user experience feel more natural and fluid.

Ways in Which LLMs are Changing the Search Experience

A reputed SEO agency in Kolkata has listed the ways LLMs are transforming search experiences.

1. Conversational search: Users can ask queries in natural language instead of using keywords. For example, instead of typing, “best budget phone 2025 under 20000”, you can search, “What are the best smartphones under ₹20,000 in 2025 for students who need good battery life and camera quality?” LLMs understand the intent and give options in a conversational tone. 
2. Direct answers: Instead of providing a list of links, LLMs can give immediate and concise responses. This reduces the need to visit webpages. 
3. Summarisation: LLMs can scan and summarise long articles, reviews, and reports, thereby saving users time and making information more digestible.
4. Personalisation: These models tailor responses based on users’ previous interactions and experiences, which in turn offer relevant information. 

Will LLMs Replace Google in The Next Years?

Though LLMs have brought about a massive change in how people access information, these models are not going to overtake Google, at least not in the next few years, stated a marketing expert at BUSFAM, a reputed SEO agency in Kolkata. 

Here is why.

1. Google is evolving: Google is adapting to remain competitive in the AI-powered search engines. It has integrated AI into its own LLM, Gemini. It has even launched an experimental AI-powered search feature called AI Mode. 
2. Search is more than answers: LLMs might be good at providing answers, but Google handles more than that. For example, maps, shopping, videos, news and real-time indexing, all of which LLMs can’t do. 
3. Lack of freshness: Some LLMs, especially those that are not real-time data sources, provide outdated information. For instance, a model trained on data up to 2023 may not know current events or information. On the other hand, Google has timely, fresh and accurate information. 
4. Ecosystem Lock-In: Multiple users rely on Google for Gmail, Maps, Docs and YouTube, which LLM currently cannot replace. 

What Does This Mean for Content and SEO?

A reputed SEO agency in Kolkata is providing the following tips for brands to focus on. 

• Create content that LLMs want to see 

Keep in mind that you are not just writing for search engines anymore; instead, you are writing for AI models that will summarise and quote your content. Hence, write clear and structured paragraphs in bullets with FAQs in simple language. 

• Publish original content 

LLMs draw content from credible sources. Hence, publish original research or a unique point of view that is trustworthy and has depth. This will increase visibility to stay relevant in AI-powered searches. 

• Rethink SEO 

Brands need to understand that SEO is not just about ranking on Google; instead, it is used as a strategy to become trusted sources of information for AI models. 

Conclusion

Presently, Google is not the only way users search for information. However, it is not going away anytime soon. As a brand, you need to adapt to stay visible on both traditional and AI-powered search engines.