For years, the search strategy for clients has followed a similar operating model: Search Engine Marketing (SEM) focused on bidding, performance, and conversion by keywords; Search Engine Optimisation (SEO) targeted organic traffic and ranking; and paid media operated within its own optimisation loop. This clear separation of KPIs and objectives worked perfectly well in the pre-AI world. Indeed, this separation often meant that clients viewed these platforms distinctly, frequently engaging different agencies to manage each delivery.
However, in today’s AI- and discovery-focused landscape, this separation is no longer viable. Consumers are no longer navigating search solely via sponsored links. Instead, they are asking direct questions, feeding systems with pointed contexts, and expecting not just sponsored results, but thoughtful, recommended solutions and answers.
This fundamental shift has completely collapsed the funnel of discovery, comparison, and recommendation into a single-layered response, often occurring without a click – giving rise to what we now call the “zero-click world”.
Profound implications for brands
This seismic shift has profound implications for how brands operate, particularly as consumers may now make their choices without us ever having the chance to directly connect with them. Across the APAC region, we are already observing this phenomenon playing out in various ways:
In Financial Services, customers are increasingly asking AI engines to compare banks based on trust and service quality, not just interest rates. This demands a holistic brand presence that extends beyond transactional offerings.
In Travel, AI is now summarising all options based on a customer’s actual preferences. For example, a query might be for “the most luxurious resort in Chiang Mai that has enough options for kids’ activities and is within $350 per night”. This level of detailed synthesis extends to airlines and other travel components, too, requiring brands to ensure their unique value propositions are readily digestible by AI.
In Retail and Electronics, AI-driven recommendations are dominating the initial shortlist, significantly shortening the consideration cycle. Brands must ensure they are positioned as the credible, recommended choice from the outset.
In such a dynamic world, SEM, SEO, and Generative Engine Optimisation (GEO) must operate as one unified system, with interconnected strategies that speak to this new consumer behaviour.
From search results to synthesised answers
This interconnected universe is crucial because today’s consumer planning a holiday does not just search “Phuket hotel deals”; they look for “the best family-friendly hotel under $300 per night that is close to the beach”. Similarly, a small-to-medium enterprise (SME) no longer searches for “business loan Singapore” but instead seeks “which bank offers the best SME loans in Singapore and has the best customer service?”
Across APAC, this behaviour is amplified by platform-native search habits. TikTok and Instagram, for instance, are increasingly used for discovery and “how-to” searches. Xiaohongshu shapes product trust and recommendations across lifestyle and luxury sectors, whilst superapps and community forums influence decisions long before traditional search engines are even consulted. The examples are endless; we have all moved to a more defined way of searching, and in each of these cases, AI engines synthesise answers using brand websites, paid and organic content, reviews, forums, comparisons, news, PR, and expert commentary. If, as brands, we are not systematically present and optimised across these diverse platforms, we are essentially invisible.
Why the old SEO and SEM split no longer works
Traditionally, we planned, executed, and optimised SEO and SEM around distinct media channels. Today, however, all search results are fundamentally based on intent. This shift gives rise to three core behavioural changes that demand a unified approach.
The first, SEM is no longer solely about conversion efficiency; it is a real-time intent engine. Paid queries that are converting well reveal the precise type of consumers asking questions. These invaluable insights should directly inform GEO-ready content and SEO structures, creating a powerful feedback loop.
Secondly, AI engines favour crawlable, structured, and technically sound content. Without robust SEO fundamentals, GEO simply cannot scale effectively. Strong technical SEO ensures that AI can easily discover, understand, and interpret a brand’s content.
Finally, AI does not look for “who paid the most” or “who ranks the highest”; it focuses on “who is the best recommendation”. GEO, therefore, becomes the connective tissue between paid, owned, and earned visibility, ensuring a brand is consistently positioned as the most relevant and trustworthy answer.
To put it simply, SEO helps you be found, and SEM helps you be seen more prominently, but GEO helps you be recommended above everyone else. Optimising all three within the same integrated loop significantly reduces media wastage and ensures that in a world where consumers decide before even reaching a brand’s website, your brand is always present and considered.
Where GEO goes wrong: The misunderstandings
As interest in GEO increases, so too do misconceptions. We must view GEO as a long-term strategic imperative, rather than just a tactical checklist. Some brands mistakenly treat GEO as a mere content rewriting exercise, believing that simply rephrasing existing content will suffice, or a short-term SEO add-on, viewing it as a quick fix rather than a foundational shift, or a tactic to “game” the AI systems, attempting to manipulate algorithms rather than genuinely earning trust and relevance.
This is precisely where GEO fails. Without alignment between Content, Code, and Credibility, brands risk being inconsistently represented and ultimately overlooked. GEO is not about chasing algorithms; it is about earning interest and recommendations at scale.
Building a unified search ecosystem
To build an effective unified search ecosystem, we need to reframe the role that each component plays before integrating them into one cohesive system:
- SEM: The Intelligence Layer. This is where we identify high-intent audiences, reveal crucial context and life needs, and inform which queries require GEO-optimised answers. SEM provides the real-time signals.
- SEO: The Structural Backbone. This ensures that AI engines can effectively assess and interpret content, significantly increasing the likelihood of AI citation and reference. Strong SEO makes content discoverable and understandable to AI.
- GEO: Owning the Moment of Recommendation. GEO is, in many ways, SEO on steroids. This is where we strategically align content, code, and credibility to the consumer journey, positioning the brand as the default, trusted answer.
These are therefore not just three distinct strategies and optimisation loops running in parallel or in silos. They are three different, yet interdependent, inputs feeding into one informed strategy and output, designed to secure brand recommendation in the AI era.
Measurement: What changes when GEO is working?
While GEO is still evolving, brands are already looking beyond traditional metrics. Early signals for us to manage and track include a measurable increase in presence within AI summaries, improved Share of Voice within AI-driven recommendations, stronger and more consistent brand descriptions across AI outputs, and a reduced reliance on paid search to maintain consideration amongst target audiences.
The main measurement shift is from “How many clicks did we get?” to “Where and how are we being recommended?”
The mindset shifts every marketer needs to make
To thrive in this AI-first future, marketers must embrace fundamental mindset shifts.
- Move from focusing on traffic to building trust. Do not measure success merely by the number of website visits; instead, measure it by your brand’s Share of Voice or consistent presence within AI recommendations.
- Move from channels to journeys. Consumers do not experience SEO, SEM, GEO, or PR separately, and neither does AI. We therefore need to plan as if it’s one single, interconnected universe.
- Move from thinking about campaigns to building capabilities. GEO is not a short-term optimisation; it is a long-term capability that compounds over time. Start small, but start, or you risk becoming invisible.
What marketers should do in the next 90 days:
- Conduct a thorough audit of how AI currently views and recommends your brand.
- Align your SEM, SEO, PR, and Content teams around one unified, discoverable strategy.
Start small, but start. The future of brand visibility and recommendation depends on it.
This thought leadership piece is written by Rochelle Chhaya, President of UM Asia Pacific.
The insight is published as part of MARKETECH APAC’s thought leadership series under What’s NEXT in Marketing 2026, a multi-platform industry initiative which features marketing and industry leaders in APAC sharing their marketing insights and predictions for 2025 and beyond.
