The digital world is changing. The way customers find products online is no longer limited to a simple Google search. Social media platforms, AI chatbots, and now, generative search engines are all competing for our attention in the search experience landscape.

As retailers, it’s crucial to understand these shifts and adapt strategies accordingly. While Search Engine Optimisation (SEO) remains essential, it’s time to embrace a broader approach – Search Experience Optimisation (SXO).

Beyond the Blue Links: Understanding the Evolving Search Experience Landscape

For decades, SEO has primarily focused on optimising web pages to rank high on the search engine results page (SERP). However, in the future, we’ll see that the platforms we’ve relied on for traffic may be less inclined to provide it.

We know social media platforms are designed to hold our attention as long as possible because that’s how they make money. Google is adopting a similar strategy—doing more of the “heavy lifting” in product research. Their goal is to bring us closer to the point of purchase, ready to offer exactly what we need when we’re ready to buy.

Consider this:

• Your customers are finding inspiration on social media platforms like TikTok and YouTube.
• They’re engaging with AI chatbots like ChatGPT and AI search engines such as the newly introduced ChatGPT Search for solutions and product recommendations.
• Generative search engines are evolving rapidly, aiming to provide more comprehensive answers that go far beyond simple links.

SXO recognises that these touchpoints are interconnected and essential to your customers’ overall search experience. Mapping your search experience landscape can help identify potential roadblocks in the customer journey and reveal opportunities to create a more cohesive and engaging experience. So it’s time to ask yourself two questions: What internal blockers or divisions within your organisation are preventing a unified customer journey? And how can you strategically map content across different channels to maximise its impact?

The Rise of Answer Engines and the Power of Customer Intent

The emergence of large language models (LLMs) is driving a significant shift in search, transforming search engines into answer engines. These advanced AI systems excel at understanding context and intent, enabling them to deliver more relevant and comprehensive results.

This shift makes customer intent more important than ever before. Google, for instance, is already using AI-driven overviews to cater to various stages of the customer journey, providing layouts and formats tailored to the intent behind each query.

For example:

• Early Stage: The stage which serves an educational intent – AI overviews may introduce a topic and offer a range of solutions for broad queries.
• Comparison Stage: The stage which serves a commercial investigation intent – AI can pull structured data from online reviews, creating a list of pros and cons for competing products to help customers focus on what matters most.
• Purchase Stage: The stage which serves a transactional intent – AI can present the best deals and promotions for a specific product when the customer is ready to buy.

With this increased focus on customer intent, traditional SEO tactics are becoming less effective. Instead, we need to prioritise creating content that genuinely answers questions and solves problems for our target audience.

By directly answering questions and making it easy for customers to find what they need, you can make your products more visible, relevant, and compelling.

The search landscape is constantly evolving, so it’s imperative to embrace a customer-centric approach, focus on intent, and experiment with new technologies. By doing so, you can stay ahead of the curve and thrive in the age of answer engines.