AI and innovations have created seismic shifts in the information highway, and brands are seeing a tangible impact in traffic to site and subsequent content engagement.
Brands across agency portfolios are increasingly concerned about the amount of traffic they receive to the site from organic and paid search. Unfortunately, this decrease in demand is a macro-level trend that has accelerated since the pandemic as technology and behavior has shifted.
As the digital landscape evolves, so does the way people search for information online. In recent years, we’ve seen a clear shift in search behavior, driven by advances in AI, social media platforms like Tik-Tok and Instagram absorbing discovery behavior that historically took place on search engines, and an increasing focus on user intent to fuel search engine relevance.
Traditional search engines like Google are no longer the sole gateway to finding information. Instead, new tools and platforms are reshaping how users engage with content, presenting both challenges and opportunities for brands to connect with their audiences in more personalized and efficient ways.
The Evolution of Search Behavior
Search behavior has shifted dramatically in recent years, thanks to new AI technologies and evolving user habits. Search engines are increasingly becoming portals that display brand information and content but keep users off the brand’s domain. SERP features, like AI overviews and featured snippets, push results further down the page. This keeps users from visiting branded websites, leading to the rise of “zero-click searches.” In fact, by 2024, nearly 60% of Google searches end without a click — up significantly from just 25.6% of desktop searches in 2022.
Challenges to Google’s Dominance
While Google has long dominated search, its hold is starting to crack with the rise of large language models (LLMs) like OpenAI’s. LLMs provide concise, personalized responses, eliminating the need for users to sift through multiple sources. This conversational and efficient approach appeals to users who want quick answers. Platforms like Instagram and TikTok are also emerging as alternative search engines, especially for younger consumers, further challenging where users start their online journeys.
Generational differences play a role here. Gen Z is the most likely to explore alternative search methods, like voice and image search, with platforms like Snapchat gaining traction for image-based queries. Meanwhile, Gen X and Boomers prefer ecommerce sites like Amazon and Walmart, which present product photos, descriptions, and reviews all in one place.
On the flip side, Reddit’s visibility in Google’s organic search results skyrocketed in 2024, jumping from the 68th to the 5th highest-ranking domain in a year. A partnership between Reddit and Google has also helped train Google’s AI. Even though Reddit’s ad revenue has increased 41% YoY, it still accounts for less than 1% of total social network ad spend.
2024 – The Year of Search Generative AI
In 2024, everyone has entered the AI race:
- February: Microsoft integrates OpenAI’s GPT-4 into Bing, enhancing search with conversational AI capabilities
- March: Google starts testing AI Overviews from SGE in main Google search interface
- April: Meta unveils its new search generative AI model, leveraging advancements in multimodal learning to improve search results for text, but also image and video content
- June: Apple announces a new AI-powered search engine for its devices with a focus on privacy and personalization, designed to provide responses without storing personal data
- June: Amazon updates Alexa’s search capabilities with a new generative AI model that improves voice search accuracy and contextual understanding, making it easier for users to find relevant information
- July: DuckDuckGo releases a new generative AI feature aimed at enhancing search results while maintaining the company’s commitment to user privacy and data protection.
This race among the major players within the search domain has led to dramatic impacts to user experience that have outpaced the platforms in which they exist. We expect to see major changes in regulation in the coming year as lawmakers work to establish ethical guidelines for the use of AI in search. However, it seems unlikely that oversight, transparency, or privacy needs will change course of the current user experience in traditional search platforms.
Comparing Traditional Search, LLMs, and Social Media
Traditional search engines like Google excel in providing access to vast databases of information and real-time updates, making them ideal for comprehensive research. However, LLMs stand out with their ability to generate context-aware, conversational responses, making them a preferred tool for users seeking more nuanced and creative information. Meanwhile, social media platforms offer short-form, visually engaging content driven by user-generated posts and trends, making them powerful in influencing purchasing decisions.
The way I break this down in terms of the purchase journey is as follows:
- Social Media is where discovery of product, solution, or need occurs.
- Traditional Search is how that intent is narrowed to a set of products or brands.
- LLMs allow the user to select the solution that specifically meets their individual needs.
Strategic Focus on User Intent
In light of these shifts, focusing on user intent is crucial. The four types of user intent—informational, navigational, commercial, and transactional—provide a strategic foundation for adapting to changing behaviors.
- Informational – Often question based and seeking information
- Navigational – Often brand or product-based queries seeking the official website.
- Commercial – Frequently seeking comparison or review while conducting research
- Example: Best airline to fly to Chile
- Transactional – This user is ready to make a purchase
- Example: I want to buy a Porsche
By aligning content and strategies with these intents, businesses can deliver more relevant, engaging, and effective search experiences.
Impact on SEO and Content Strategies
To stay competitive, brands must adapt to these evolving search behaviors. Key actions include:
- Focusing on user intent: Tailoring content to address customer needs and using structured data to improve search visibility.
- High-quality content: Creating informative, well-researched material that enhances the user journey.
- Optimizing product feeds and using advanced technologies: Ensuring product information is accessible across platforms and exploring immersive features like augmented reality (AR).
Your content strategy must focus on delivering highly tailored, specific content that highlights the key strengths behind your brand. By customizing content to different customer segments you will ensure that messaging resonates with a broad but targeted audience.
Additionally, implementing a robust First Party Data (1PD) strategy will better fuel AI targeting and allow your message to resonate with the intended persona. 1PD further facilitates the alignment of automated tactics like bid automation and dynamic ad creative.
Finally, optimize user reach by enhancing customer engagement at every stage of their journey, from awareness to purchase. The focus on upper-funnel engagement will help build brand awareness and attract new audiences, all while maintaining a strong, cohesive brand presence across platforms.
By understanding the evolution of search behavior and prioritizing user intent, clients can better navigate the complexities of today’s digital landscape and optimize its strategies for the future.