The Future of Search: Beyond Google and Traditional Search Engines

Many facets of marketing have changed over the past two decades — new channels, AI, mobile first. As the internet and technology have evolved, several aspects have remained the same in regard to how consumers find information. With over 90% market share, Google is still most people’s go-to source for searching and has even evolved into a verb. At the same time, keywords have continued to be the foundation of search.

But the recent advancements in AI have proved to be the tipping point for changing how people find information. As a result, search as we know it is changing. Marketers must quickly adapt to this fundamental shift as we move to a more decentralized approach for helping customers find brands and information.

Challenges with Traditional Search

Because finding information used to be dependent on keywords, searchers needed to know exactly what to ask. Similarly, marketers needed to know what consumers would look for and exactly what words they would use in their searches. This resulted in a chasm that became one of the biggest challenges in SEO and marketing in general. But it also limited consumers’ ability to naturally discover information in a more organic way.

In recent years, paid ads and professional SEO created unequal quality and often even skewed results. Search engines constantly changed algorithms to make it easier for people to find the best content, while SEO professionals constantly tried to change their strategies to make the algorithms show their content. As a result, brands with the budget to buy large volumes of ads and hire professional SEO experts landed the top spot for many keywords. In many cases, the losers were actually the searchers trying to find answers to their questions.

Consumers also began complaining about search monopolies and privacy issues. Because technology began tracking queries and data, the large search engines had a high volume of valuable data. Additionally, the ethical considerations of the data collection used for targeting and ads came into question. Consumer pushback and increased privacy laws began making it harder for the traditional model of search to continue on its current path.

LLMs Increasingly Became Indispensable Interns for Personal and Professional Use

At the same time as the other factors continued to bubble up, AI began improving to the point that GenAI became relevant for real-world use cases. Since late 2024, commercial large language models (LLMs), such as ChatGPT and Claude, have emerged with significant business and personal uses. Because consumers began using these tools in their daily life, their habits and expectations of searching for information began evolving as well.

Instead of being keyword based, LLMs used intent and context as the foundation of search, which feels more natural to consumers. Users quickly felt comfortable with the dialog style of LLMs, which even allow follow-up questions and modifications to the query that build on the previous response. As a result, the natural and synthesized responses of LLMs began satisfying consumers’ quest for information in a way that search simply could not fill. LLMs quickly became an intern to many people instead of a tool, like they viewed search engines.

However, LLMs quickly showed downsides and weaknesses, which made some people wary. Hallucinations, meaning that the model makes up information or shares incorrect facts, have remained one of the top concerns with LLMs. Additionally, consumers want to know where the data comes from, which has improved with many tools now including citations. However, because the LLMs are still learning to prioritize credible sources, the results sometimes use unreliable sources, which makes people question the results.

AI-Powered Conversational Search Reaches Tipping Point

Search engines are now using GenAI to create conversational search results. AI Overviews and GenAI search results are quickly replacing the traditional search engine results pages (SERPs). Instead of simply providing a list of links in response to keywords, many SERPs now include AI-generated elements, including the AI Overview and People Also Ask. The search engine uses GenAI to review relevant pages and write an answer to the question based on online information. Typically, the text also includes a citation so the user can verify the source, which addresses an early complaint with GenAI.

As a result of the new search responses, users are again changing their search behavior. Instead of entering short keywords, searchers are now moving to more conversational prompts in the form of a question. Because many searches now result in answers that are displayed directly on the SERPs, users are increasingly making the SERP their final destination and not visiting the source sites. This means that these searches result in zero clicks, which means that organic traffic and page views are no longer accurate measures of SEO success. In response, brands now must re-evaluate their strategies and change how they help potential customers find their content and their company.

Intent Becoming Foundational for SEO

While technology and the format of searches is evolving, one shift in recent years is likely to remain consistent and prove foundational for SEO in the future. Search engines have increased the focus on search intent, or the underlying goal of the search, instead of specific keywords. With an intent- and context-focused search engine algorithm, the search engine rewards pages whose focus is clear, useful, and comprehensive.

This shift makes it harder for companies to “game the system” with unethical tactics like keyword stuffing. Additionally, the increased popularity of voice search makes intent even more important than in the past.

When creating SEO strategies, brands should start by understanding the intent of people who will find their content useful. When someone initiates a search, they are often looking for information on a topic (informational), want to go to a specific website (navigational), are researching a product or service they are considering purchasing (commercial investigation), or are ready to buy a service or product (transactional). Focusing on a clear intent, the marketer can then devise the best SEO strategy and techniques to help the target audience easily find the brand content.

As brands are creating SEO strategies to evolve as search evolves, they should make sure each technique focuses on a specific intent. Make sure that each piece of content is mapped to a buyer journey state, such as providing informational content during the Awareness phase and transactional content during the Decision phase. Because shorter keywords often lack intent, marketers should work on prioritizing longer-tailed keywords. When creating your content calendar, be sure to include intent-specific content, such as FAQs for informational searches and landing pages for transactional searches.

Increasing Popularity of Visual and Voice Search

Another shift in how people get information also began gaining more traction around the same time. While many consumers have been using voice searches like Siri and Alexa over the past decade, use cases and accuracy have grown to make it an even more popular choice. While not in the headlines as much as voice search, visual search has also become more common, such as using Google Lens for real-time image recognition when shopping or planning a trip, for instance.

Similar to the trend toward conversational search, voice and visual search align with how people naturally communicate and interact with each other. Voice and image searches are also much easier to make a part of our routine and habits, such as being able to get information while doing other tasks like cleaning or driving. People with disabilities, especially those affecting vision or reading, can now more easily get information with these tools as they improve accessibility.

Technology and change in habits also set the foundation for mixed-reality searches. With this type of search, users can use multiple methods, such as gestures, speech, and even facial expressions, to gain information. Future use cases include more virtual tours and product testing using 3D and virtual reality integrated into searching. As we move away from texting, all forms of communication will likely become integrated to help us gather information and get answers as part of our daily routines with as few extra steps as possible.

This future trend will prove to be a big challenge to marketers who spent decades focused on keyword- and text-based search. As a result, marketers must start looking for creative and integrated ways to share information as part of the task instead of creating a separate task. Companies that fully embrace voice and image-based search, both in technology and intent, will position themselves to more quickly adapt to the next wave of 3D and spatial searches.

Moving to Predictive Searches

Instead of responding to keywords, SEO as we know it will likely evolve to brands anticipating the information that customers want before they even realize it. The goal will be to analyze data in order to move from a zero-click search to a zero-query search, meaning that the user won’t even have to specifically type or speak their request for information.

This shift will move from a reactive approach where the user must ask for information, to a proactive model where technology provides personalized information before the need arises. For example, if the user’s calendar shows that they have a trip coming up in three days and they have previously asked questions related to packing during that time frame, the search engine can proactively provide weather information and cultural dress information about the destination. Mobile and wearables, such as watches and smart glasses, will likely be key parts of predictive searches since typing is often not possible when requesting or receiving information while performing another task.

In addition to technology not quite being to this level yet, predictive searches also have privacy and ethical concerns. One of the greatest concerns is that people are wary of technology knowing all their personal details, such as habits and location, making informed consent a big issue going forward. With informed consent becoming a key part of data collection, it’s likely that this will become a sticking point moving forward toward predictive search.

The Rise of Specialized Search Tools

While some niche tools have existed in the past, the majority of searching was completed by general tools. However, consumers and professionals are increasingly needing more in-depth and expert-driven content. As a result, niche and specialized search tools are likely to become both popular and necessary as the industry moves to focusing on the task instead of the person.

For example, both Semantic Scholar and WolframAlpha are often used for academic purposes. However, Semantic Scholar uses AI to analyze citations and return academic papers, while WolframAlpha curates data for math, science, and informational searches.

As niche engines continue to pop up, it’s quite possible that the future may involve digital personalized assistants that use multiple niche engines based on the task. For example, ChatGPT may become integrated with niche systems, allowing users to have a single portal for all searches with the benefits of niche-specific engines. As search grows in the ability to determine both intent and context, it becomes impossible for a single search engine, such as Google, to help the user find what they need in all circumstances.

Context and Intent at the Forefront

While the technology and specifics of the future of SEO are still evolving, many things are becoming more certain. AI-based conversational search will quickly become the norm, not the exception, as users increasingly expect zero-click searches. At the same time, intent and context will continue to be the foundation of SEO success, and companies that do not keep these concepts at the forefront will struggle for people to find their content. Many specifics are still evolving regarding the future of search, but companies that do not position themselves toward the new direction will be most certainly find themselves playing catch up for decades.