AI is reshaping search from blue links to cited answers. Here's what the data says about earning visibility across traditional SEO and AI-driven engines.
The rules of search haven’t been rewritten — they’ve been stratified. Traditional SEO still matters, but it now operates alongside a parallel visibility layer where machines decide whose expertise gets surfaced in a generated answer. Get one layer right and ignore the other, and you’re flying half the mission.
The SEO Guru Problem Is a Signal, Not Just Noise
Google’s John Mueller recently called out self-styled SEO gurus as “clueless imposters” — and while the observation reads as blunt, it’s strategically significant. Search Engine Journal’s Roger Montti framed it as a credibility crisis inside the SEO industry itself. But zoom out and it maps onto something larger: the field is being bifurcated between practitioners who understand how Google’s systems actually work and influencers recycling three-year-old frameworks dressed up as revelation.
For marketing teams in Southeast Asia, this matters practically. The region’s digital marketing education ecosystem is uneven — training quality varies enormously across markets like Indonesia, Vietnam, and the Philippines. When brands hire SEO talent or agencies based on follower counts and confident-sounding content, they’re exposed to exactly the imposter dynamic Mueller described. The corrective isn’t cynicism — it’s a tighter brief: ask candidates to explain how they’d structure a site for a multilingual, mobile-first audience across Bahasa Indonesia and Thai, and watch carefully who hedges appropriately versus who bluffs.
ChatGPT Is Sending Real Traffic — But Selectively
Semrush’s analysis of 17 months of clickstream data makes the referral picture clearer than any projection model could. ChatGPT is now generating meaningful web traffic, but the distribution is highly unequal. Established, well-cited sources absorb a disproportionate share of that referral volume. Sites with shallow authority or thin content are largely invisible to AI-driven referral — not penalised, simply not considered.
The strategic implication for Southeast Asian brands is direct. Markets like Singapore and Thailand have a relatively mature cohort of English-language digital publishers, but Bahasa-language and Vietnamese-language content ecosystems are thinner. Brands that invest now in building genuinely authoritative content in regional languages — comprehensive, structured, and attribution-worthy — are positioning early in a referral channel that will only concentrate further over the next 18 months. Shopee, for instance, benefits from enormous domain authority; challenger brands in e-commerce and fintech don’t have that cushion and need to build citation-worthiness deliberately.
Traditional SEO and AI SEO Aren’t Rivals — They’re Sequential
SEO.com’s Macy Storm poses the right question: do you need both traditional SEO and AI SEO, or is one subsuming the other? The honest answer is that they address different parts of the discovery funnel, with substantial overlap in the foundation. Traditional SEO — technical health, crawlability, keyword-intent alignment — remains the prerequisite. Without it, neither Google nor an LLM has clean signals to work with.
AI SEO, or what’s increasingly called Generative Engine Optimisation (GEO), layers on top: it’s about structuring content so that large language models can extract, paraphrase, and cite it confidently. That means clear entity definitions, FAQ-format content blocks, authoritative attribution, and schema markup that makes context explicit. For brands running across Shopee storefronts, LINE Official Accounts, and standalone web properties simultaneously — which describes most mid-sized SEA brands — this means the content architecture decisions made for the web now need to serve three audiences: human readers, Google’s crawler, and LLM training and retrieval systems.
Brand Mentions in LLM Responses Are Not Random
Dr. Peter J. Meyers’ experiment at Moz tested 300 prompts across LLMs to measure how brand mentions appear in generated responses. The findings reframe the entire brand investment conversation. Brand-specific queries predictably surfaced the target brand. But the more revealing data point was around “soft-brand” queries — category-adjacent questions where brand associations are implicit rather than explicit. Brands with strong third-party mention profiles and consistent topical authority appeared in these responses at a significantly higher rate. Gemini, notably, generated a high volume of brand mentions relative to other models tested.
This has a concrete implementation path. For Southeast Asian brands, the equivalent of “third-party mention profile” is presence in regional media — Tech in Asia, KrASIA, e27, local business press — combined with structured data that makes brand-category associations machine-readable. A fintech brand cited in 40 KrASIA articles with consistent entity markup is far more likely to appear in an LLM’s response to “best digital wallets in Southeast Asia” than a brand with better Google rankings but weaker citation infrastructure. The two strategies are complementary, not interchangeable.
Key Takeaways
- Audit your content architecture for both crawlability and LLM extractability — schema markup, entity clarity, and FAQ structure serve both simultaneously.
- Prioritise earning citations in credible regional publications over chasing backlink volume; AI referral traffic concentrates around genuinely authoritative sources.
- When evaluating SEO partners or talent, test their understanding of multilingual, mobile-first architecture — it’s the fastest filter for separating practitioners from postures.
The deeper question worth sitting with: as LLMs increasingly mediate discovery, the brands that win visibility will be those that machines trust enough to cite unprompted. Trust, in this context, is a function of consistency, authority, and structural clarity — not cleverness. If your brand disappeared from every AI-generated answer tomorrow, what would you have to rebuild first?
At grzzly, we work with growth teams across Southeast Asia navigating exactly this transition — from traditional SERP optimisation to building the kind of structured, authoritative presence that earns citation in AI-driven search. Whether you’re auditing an existing content architecture or building a GEO strategy from scratch, we’d like to think through it with you. Let’s talk
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Cosmic GrizzlyMapping the evolving cosmos of search — from traditional SERP dominance to answer engine optimisation and AI-cited authority. Obsessed with how machines decide what the world deserves to read.