What is Generative Experience Optimization (GXO)?
GXO is one of the most exciting and still emerging topics to watch. It focuses on shaping how users engage with generative AI interfaces by creating new gateways for discovering brands, products, and services. The goal of GXO is to ensure brand appearances in GenAI environments, either organically (GEO) or through paid strategies (GEA). It’s not just about what AI says, but about building a strategic presence in the generative world.
Why does GXO play a crucial role in successful CX?
How does GXO become successful in practice?
A lot of buzz, but what‘s behind it?
GenAI is radically transforming how we consume information and make decisions. Up until today, searching for answers meant using classic search engines that returned a simple list of links. This model is being disrupted. Instead of browsing through pages, customers increasingly rely on Ai-driven responses that deliver context-rich, conversational answers in real time.
What started as a trend among early adopters is quickly moving into the mainstream: users turn towards large language models (LLMs) like ChatGPT, Claude, or Gemini for answers instead of traditional search engines. And even for those who still use Google or Bing, the experience looks very different today. AI-generated summaries now appear in prime positions often powered by the search engines’ own LLMs. Why? Partly to meet evolving customer expectations for faster, more contextual answers. But there’s also a strategic angle: by integrating their own generative AI, search providers aim to reduce churn and ensure they remain part of the conversation.
This shift creates a new “zero-click” reality meaning users get the answers they need without ever leaving the search results page. Instead of clicking through websites, they rely on AI-generated summaries that provide instant answers. Today, up to 60% of searches end this way. And the trend is accelerating: by 2028, AI is projected to power 75% of all searches. For brands, this means a fundamental pivot from competing for visibility in traditional search results to ensuring they are quoted directly in AI-generated answers. This development is giving rise to a new discipline: Generative Experience Optimization (GXO). Its goal is to holistically optimize the user experience in generative search and answer systems.
AI touchpoints that shape perception, trust and loyalty
These new generative AI touchpoints aren’t just about driving conversions; they’re moments of trust and influence. GenAI is becoming a critical entry point into the customer journey. When customers ask questions, AI often acts as the first guide. However, GenAI has another side: it not only guides, but can also speak about your brand on request. This means your digital footprint and customer feedback matter more than ever.
With advanced sentiment analysis, GenAI can instantly assess what people think about your brand and surface that in its answers. In other words, brands now need to consider not just how customers perceive them, but also what GenAI knows and communicates about them.
That’s why GXO is becoming increasingly important for businesses. Interest and demand are growing fast because companies are facing three big questions:
While the first two questions don’t have straightforward answers, we can already say one thing about SEO: the goal is not to replace it, but to evolve it. SEO remains the technical and content foundation that allows generative systems to understand and integrate a brand’s content into their responses. GEO builds on this foundation by making sure it is accurately understood, trusted, and synthesized by AI models.
Many companies underestimate how complex GEO really is. Typical challenges include the lack of benchmarking and difficult expectation management. It’s easy to assume that GEO is a quick lever for rapid customer growth but that’s not the case. Before chasing new customers, brands need to secure the loyalty of their current customer base. As search and information behaviors shift toward GenAI, the risk of losing visibility and relevance with current customers is real. On top of that, measurability adds another layer of complexity. Classic SEO metrics no longer apply, and new KPIs for visibility in LLM responses must be defined.
Why is this so crucial for the customer experience? Generative AI is becoming a primary gateway for information and decision-making. If a brand is absent or misrepresented in these environments, customers may never encounter it at the critical moment of choice, even if they are loyal. These touchpoints influence perceptions, shape narratives, and set expectations instantly. When integrated thoughtfully, they create seamless entry points into the customer journey, strengthen brand credibility, and ensure consistency across channels.
Deloitte Digital for a successful generative experience
Deloitte Digital helps organizations to transform their digital presence for the AI era with a structured, interdisciplinary approach:
It starts by evaluating the company’s current state: Deloitte assesses brand visibility and examines how customers interact with generative AI. Do they already use LLMs? Which use cases are relevant to them? Are there potential target groups that rely heavily on generative AI but aren’t yet customers of the company? This potential analysis is crucial because it determines whether early engagement with GXO is a strategic advantage or whether waiting until the market matures might be more cost-effective. Acting early can position a brand as a pioneer in a rapidly evolving space.
GXO is not a siloed marketing initiative. It requires coordination across marketing, IT, analytics, and customer experience teams. Deloitte brings these functions together and helps anchor the strategy within the organization, securing C-level sponsorship and creating governance models that foster collaboration. This is essential because novel topics often fail without executive buy-in and cross-department alignment.
Generative AI is emerging as a new entry point, and Deloitte helps clients define how this touchpoint fits into an omnichannel experience. For example, when a customer arrives via an LLM recommendation, what’s the next step in their journey? Is a dedicated landing page needed? Can users be technically routed directly to the requested scenario instead of a generic page? These questions are key to ensuring a seamless experience and avoiding friction.
Traditional SEO metrics no longer apply in generative environments. Deloitte helps define new KPIs for visibility in LLM responses and for the trust signals that matter to AI models. Since industry benchmarks are rare, Deloitte supports companies in creating tailored frameworks to measure success and iterate effectively.
The advantage of acting now? A brand positions itself as a leader in a rapidly evolving space, shaping the conversation before GXO becomes mainstream and competitive.
Neil Edion is a Senior Manager within Customer and Marketing in the Talent Group Customer Experience & Transformation. He has experience in working a various field of industries such as banking, insurance, consumer electronics, healthcare and technology. He has particular knowledge in the field of customer experience, strategic design, brand strategy as well as employer brand.
Christian Sewald is part of the Customer Strategy & Design offering, supporting clients in developing and implementing customer-centric strategies that drive sustainable growth. His project experience spans sectors including automotive, public services, finance and banking, as well as energy, helping organizations navigate economic challenges and build resilience through transformation. He specializes in evaluating CX maturity to identify measures that foster customer loyalty, or to reshape structures and processes for greater customer orientation. He led international, interdisciplinary workstreams across CX strategy, CX transformation, and user-centric system implementation.