SEO vs GEO: Which Search Strategy Does Your Brand Need?

Most of the GEO conversation right now sounds like this: everyone needs to optimise for generative engines, immediately, or risk disappearing from search entirely. That’s partially true and mostly unhelpful. The real question is a lot more precise.

What Google Actually Said About Skipping GEO

Search Engine Journal reports that Google has directly addressed whether certain sites can afford to ignore Generative Engine Optimisation and focus purely on traditional SEO. Google’s position, characteristically nuanced, is that it depends on the nature of the query and the intent behind it. Transactional searches — think e-commerce product pages, booking flows, local service queries — still resolve primarily through blue-link results and structured snippets. AI Overviews tend to dominate informational and navigational queries, where the user wants a synthesised answer rather than a destination.

For brands operating in high-transaction verticals — Shopee and Lazada sellers, hotel booking sites, food delivery aggregators — this is meaningful reassurance. If your conversion funnel lives inside a platform ecosystem that generates its own search results, GEO may genuinely be a lower priority than getting your structured data and product taxonomy right. But “lower priority” is not the same as “irrelevant,” and that distinction matters more as generative UI expands further into commercial search territory.

The Generative UI Shift Is Happening Faster Than Reported

Search Engine Journal’s SEO Pulse from August 22 flags something that deserves more attention than it’s getting: Google is now rolling generative UI into AI Overviews at scale, not just for experimental queries but across a broader surface area. Meanwhile, Reddit’s share of ChatGPT citations has dropped — a signal that LLM-powered engines are diversifying their sourcing rather than defaulting to high-volume UGC communities.

For Southeast Asian brands, this has a specific implication. Markets like Thailand, Vietnam, and the Philippines have historically seen strong organic results driven by local-language content on high-domain-authority platforms. If generative engines are pulling back from UGC aggregators and toward structured, entity-rich sources, brands that have been riding Reddit-equivalent communities — regional forums, Facebook groups indexed by Google — may find their visibility eroding without understanding why. The August spam update adds another layer: sites with thin content propped up by platform authority are more exposed now than they were six months ago.

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Translating Search Metrics Into Leadership Decisions

Here is where the GEO vs SEO debate quietly breaks down inside most organisations: it’s being argued in the wrong currency. Ahrefs published a sharp piece this week on translating SEO metrics into MBA-speak — framing rankings and traffic not as performance indicators but as inputs to market share, revenue attribution, and cost-per-acquisition. The same logic applies to GEO investment decisions.

When a CMO asks whether to invest in GEO, they’re not asking about entity authority or citation frequency. They’re asking: where are my customers forming purchase intent, and am I visible there? If AI Overviews are now the first touchpoint for “best CRM for SMEs in Indonesia” or “top logistics providers in Vietnam,” then brand absence from those surfaces is a market share problem, not an SEO problem. Framing it that way tends to unlock budget and buy-in faster than any ranking report.

Practically, this means tagging GEO initiatives to specific revenue-adjacent queries — not broad visibility — and building a baseline for how often your brand appears (or doesn’t) in AI-generated responses for your core category terms. Tools like Profound and Goodie AI are early but functional starting points for this kind of monitoring.

Building a Search Strategy That Doesn’t Force a False Choice

The SEO-or-GEO framing is a false binary for most brands with any content depth. The smarter architecture is a tiered approach: maintain technical SEO and structured data as the foundation (it feeds both traditional and generative engines), layer AEO — Answer Engine Optimisation — on top by shaping FAQ schema and concise authoritative content around high-intent queries, and then treat GEO as the entity-authority layer that determines whether your brand gets cited when an LLM synthesises an answer in your category.

In Southeast Asia, the mobile-first context adds a constraint worth building around. AI Overviews on mobile truncate aggressively — a brand that earns a citation but isn’t named in the first 40 words of a generated answer may as well not be there. Optimising for citation placement within generative responses, not just citation frequency, is the next frontier most teams haven’t started thinking about yet.

The question worth sitting with: if your brand disappeared from every AI-generated search surface tomorrow, would your leadership team know — and would they know what to do about it?

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At grzzly, we work with growth and marketing teams across Southeast Asia who are navigating exactly this shift — figuring out where traditional SEO still compounds, where GEO investment makes category-level impact, and how to make that case internally with metrics that actually land. If your search strategy is due for a structural rethink, Let’s talk