How Thai Brands Win AI Search in 2026: 10 Findings From 1.17M Citations

Summarise this blog

ChatGPT Perplexity Claude Grok

TL;DR

For 90 days we watched what AI actually said about 128 Thai brands, across every platform that matters here. That gave us 481,560 AI answers and 1,175,709 citations to work from, and ten findings came out clearly. The headline patterns:

• AI is already how Thais search. 96% of Thai search and AI traffic runs through Google. AI Overviews (the AI answer that now appears at the top of most Google results) sits on top of nearly everything, and AI Mode is rolling out as the next default.
• In every category, AI picks two favourites. The top 2 brands per category get 76% of AI mentions on average. In aesthetic clinics, it’s 94%. If you’re not in the top 2, AI does not see you.
• AI quotes other people about you, not you. Only 4% of what AI says about your brand comes from your own website. The other 96% comes from YouTube, Facebook, Pantip, Reddit, Wongnai, and a Japanese-owned listicle site that almost no one in Thai marketing has heard of.
• Google AI and ChatGPT are not the same game. Only 3 of the top 30 sources overlap between the two. Gemini behaves more like ChatGPT than Google AI. You need two playbooks, not one.

The rest of this report is the evidence. Either get to work on the AI search lever, or stop spending money on the old playbook.

Why we did this

Every Thai brand we work with wants to know how to show up in AI, and until now there were no good answers. The available research was global, English-language, B2B-SaaS-skewed, and built on assumptions that don’t hold in Thailand. The local sites AI is actually quoting from here are mostly missing from any global AI search dashboard. So we built our own measurement system, ran it for 90 days against 128 active Thai brand projects across the major AI platforms, and we logged what AI actually said. What follows is what the data showed.

Methodology

Scope: 128 active Thai brand projects across five industries (aesthetic clinics, furniture, banking, hotels, and travel and OTA). One large outlier was excluded so the totals reflect the long tail accurately.
Window: 90 days, March to June 2026.

Scale:

What we tracked: for every AI answer about a monitored brand, we logged which platform produced the answer, which sources the platform cited, where the brand sat in the answer, and which of the brand’s competitors showed up in its place.
Platforms: Google AI Overviews, ChatGPT, and Gemini, which together account for almost all AI search behaviour in Thailand. Perplexity is in there for triangulation, and Bing is included for completeness.
Triangulation: SimilarWeb for platform traffic in Thailand (April 2026), and public Google statements on the AI Mode rollout for the macro picture.
What this is not: a global AI search study. Every finding here is Thailand-specific. Some of it will hold elsewhere. A lot of it won’t.

1. AI sits inside Google in Thailand

As of April 2026, 96% of Thai search and AI traffic flows through Google’s ecosystem, which is Google Search plus AI Overviews plus Gemini combined. The other 4% is ChatGPT, Bing, Perplexity, and everyone else, all sharing what’s left.

Source: SimilarWeb, April 2026.

AI Overviews now sits on top of most Google searches in Thailand. A user types a query, the AI answer shows up above the blue links, and a meaningful chunk of users never scrolls past it. The click-through to your site is already lower than it was twelve months ago, and the trend is only going one way.

Implication: any Thai AI search strategy has to start with Google’s stack. Optimising only for ChatGPT misses the room in Thailand entirely.

Key takeaways:

1. 96% of Thai AI search traffic sits inside Google’s ecosystem.
2. Gemini already has more Thai traffic than ChatGPT.
3. AI Overviews is now the default top result on most Thai Google searches.

2. AI Mode is the next default

The third era of search in three years is rolling out now. Google AI Mode, which is conversational by default, is becoming Google’s new search experience through 2026.

• Blue links → before 2024
• AI Overviews → 2025
• AI Mode → 2026

Each era moved the AI answer from being a step on the way to your site to being the destination itself, and click-throughs keep falling as a result. The only metric that matters now is whether your brand shows up in the answer at all.

Implication: the click-through-to-site model is dying. The brand-visibility-in-AI-answers model is what replaces it, and the time to start measuring it was eighteen months ago. The next-best time is now.

Key takeaways:

1. AI Mode is the third major search shift in three years.
2. Click-through rates are going one way.
3. Brand visibility inside the AI answer is the metric that matters in the new era.

3. Two brands take 76% of AI mentions

Across the five Thai industries we measured, the top 2 brands per category capture an average of 76% of AI brand mentions. That leaves the remaining 24% to be shared by everyone else in the category combined.

The narrower the category, the closer the AI answer gets to winner-take-all. Aesthetic clinics is the extreme case. Two brands take 94% of mentions between them, leaving 6% for everyone else combined.

Implication: in most Thai categories, if you are not in the top 2, AI effectively does not see you. The top-2 lock is harder to break the narrower your category gets.

Key takeaways:

1. The top 2 brands per category own 76% of AI mentions on average.
2. The narrower the category, the closer to winner-take-all (aesthetic clinics: 94%).
3. Below top-2, AI visibility tapers off sharply.

4. AI quotes other people about you, not you

This is the finding that breaks most of the marketing playbooks brands are running today. Across the 128-brand portfolio, only 4% of what AI cited about a brand came from the brand’s own website, and only 2% came from the brand’s own blog. The remaining 96% came from sources the brand does not own.

In other words, you can’t win AI search in Thailand by writing more posts on your own blog. That lever, on its own, is worth four percentage points at best.

Implication: the playbook is not on-site content. It is brand presence across the wider web. Investing more in your own blog while the 96% sits unmanaged is the most common mistake we see.

Key takeaways:

1. 96% of your AI citations come from sites you do not own.
2. Your blog is worth about 2% of your AI visibility.
3. The lever that matters is presence across the wider web, not more on-site content.

5. AI’s top 10 sources for Thai brands

Across the portfolio over 90 days, ranked by how often AI quoted them, the top 10 sources looked like this.

Five of AI’s top 10 are Thai local sites: Pantip, Shopee, Kapook, mybest, and Wongnai. Most Thai marketers we work with have never run a coordinated presence campaign on any of them.

Implication: a Thai AI search strategy is not the global SEO playbook. The local sources matter as much as the global ones, and your international competitors will not touch them, because they don’t yet know these sites exist.

Key takeaways:

1. YouTube and Facebook are the two largest single sources AI cites in Thailand.
2. Pantip, Shopee, Kapook, mybest, and Wongnai are the local channels AI is actively reading.
3. The Thai local layer is the part of the playbook the global guides leave out.

6. The mybest surprise

Sitting at #8 in AI’s top 10 sources about Thai brands is my-best.com, a Japanese product review and listicle platform (mybest Inc, Tokyo) that operates in Japan plus eight other countries, including Thailand. Almost no Thai marketer we have asked has ever heard of it.

If you’re a Thai brand in a category mybest covers, mybest is shaping what AI says about you, and you have zero presence on it. That’s a real gap with a real fix.

Implication: there are sites quietly shaping AI answers about your brand that you don’t even know exist. The first job is to find them. The second job is to be on them.

Key takeaways:

1. mybest is a Japanese listicle platform that ranks #8 in AI sources about Thai brands.
2. Almost no Thai brand we have worked with has had any presence on it.
3. Discovery of these hidden sources is itself an underrated competitive lever.

7. AI doesn’t have a top 10. It pulls from 35,000 sources.

The top 10 sources don’t carry the report on their own. They cover only 15% of AI’s brand citations. The top 100 cover 33%. The top 1,000 cover 67%. The remaining 33% is spread across more than 34,000 other sites.

Your brand can show up anywhere AI is looking, which means optimising only for the top 10 leaves about 85% of the citation surface on the table.

Implication: brand presence has to be wide as well as deep. Concentrating your effort on the top 10 will not get you in the answer when AI samples from the long tail, which it does in a third of all citations.

Key takeaways:

1. The top 10 sources cover only 15% of citations.
2. The long tail of 34,000+ other sites accounts for the remaining third.
3. Width of presence matters as much as depth.

8. Google AI and ChatGPT quote different websites

The instinct is to treat “AI search” as a single channel, but the data does not back that up. Of the top 30 sources Google AI Overviews quotes from, and the top 30 ChatGPT quotes from, only 3 sources overlap. The other 27 on each side are completely different sites.

Two systems, two diets. Optimising YouTube and Facebook presence pulls Google AI Overviews, but it barely moves ChatGPT. Building citations on Reddit threads and Wikipedia moves ChatGPT, but Google AI cares less.

Implication: winning on Google AI Overviews is a different game from winning on ChatGPT. Brands need two playbooks, not one, and the work that wins one mostly does not win the other.

Key takeaways:

1. Only 3 of the top 30 sources overlap between the two platforms.
2. Google AI Overviews leans on social platforms and brand-owned domains.
3. ChatGPT leans on Reddit, Wikipedia, and institutional sources.

9. Gemini behaves like ChatGPT, not Google AI

Gemini is the genuinely counter-intuitive case. It’s Google’s chat product, so the reasonable assumption is that Gemini behaves like Google AI Overviews. It does not.

Across the brands where we had clean cross-platform measurement, the correlation between Google AI Overviews visibility and Gemini visibility came out at r = -0.78 (which is a number that says the two move in opposite directions, based on three brands with clean enough data). The correlation between Gemini and ChatGPT visibility came out at r = +0.82 (five brands).

The samples are small and the conclusion is early. The direction is clear. Gemini is behaving more like a chat agent quoting from a ChatGPT-style source pool than a search engine re-ranking Google’s index.

Implication: treating Gemini as “Google” and running standard SEO tactics on it will under-perform. The realistic answer is to plan Gemini visibility on the ChatGPT playbook, not the Google AI one.

Key takeaways:

1. Gemini visibility is negatively correlated with Google AI Overviews visibility.
2. Gemini visibility is positively correlated with ChatGPT visibility.
3. Gemini is a chat agent in behaviour, not a search engine in behaviour.

10. Winning Google AI does not win ChatGPT

Strong visibility on Google AI Overviews does not transfer to ChatGPT. The average brand we measured loses around 18 visibility points moving from one to the other, and in some categories (banking, supplements, furniture) the drop is 20 to 30 points.

Being a top 2 brand in your category on Google AI does not buy you a top 2 spot on ChatGPT, because the two platforms are asking different questions of different sources. Even strong Google AI presence is not a hedge for ChatGPT. ChatGPT is the harder room.

Implication: a brand can dominate Google AI in Thailand and still be invisible on ChatGPT. Plan for both. Measure both. The cross-platform gap is the single most under-appreciated number in AI search right now.

Key takeaways:

1. The average visibility loss moving from Google AI to ChatGPT is 18 points.
2. Some categories lose 20 to 30 points.
3. Strong Google AI presence is not a hedge. The two platforms are independent races.

So how do Thai brands actually win

The ten findings translate into five moves, in the order we’d run them.

First, map your category honestly. Identify the two brands that own the AI answer in your space today, and the assets that put them there. Usually that’s some combination of strong YouTube presence, an active Pantip footprint, recurring news mentions, a Wikipedia entry, and inclusion in a mybest listicle. If the gap between your visibility and the top 2 is 70 percentage points, that gap is closeable. It is not closeable by writing more on-site content.

Second, build coordinated presence on the Thai local sources AI is quoting from. That’s Pantip, Wongnai, Kapook, mybest, Shopee, and the regional review sites in your category. This is the lever the global playbook misses entirely, and it’s the lever your international competitors will not touch, because they don’t yet know these sites matter.

Third, build a YouTube and Facebook layer for Google AI Overviews. Branded video content, Q&A-format videos, and Facebook posts that get cited will pull Google AI specifically. This layer does very little for ChatGPT, which is fine. Different tool for a different platform.

Fourth, build an authority, Reddit, and Wikipedia layer for ChatGPT and Gemini. The institutional sources these platforms quote (Reddit threads, Wikipedia entries, well-cited articles, expert commentary) take longer to compound than social-platform content, especially on Wikipedia. Which is exactly why the brands that start now will be hard to dislodge a year from now.

Fifth, measure daily. The brands that show up in AI answers twelve months from now will be the ones that started tracking AI citations daily in 2026. The brands that don’t will be the ones that waited for AI search to “settle”. Every previous search transition (organic in the late 2000s, mobile in the early 2010s, voice in the late 2010s) followed the same shape. The brands measuring first set the benchmarks the rest of the category eventually has to match.

Implication: the lever is not “more content”. The lever is brand presence on the right sources for the right platforms, measured daily, with two playbooks running in parallel.

Closing

If there’s one takeaway from this report, it’s that AI is not deciding who wins in Thailand based on your website. The decision has already been made, on the basis of everyone else’s content about you. The brands that move first will not move on writing more blog posts. They will move on the 96% of AI citations they don’t currently control. The window where this work is uncontested is short, probably twelve months. By 18 months from now, every category will have someone running the local-source playbook. By 24 months, the top 2 in every category will be locked, in the same way the top 2 organic SEO positions were locked from 2010 onwards.

If you want to see where your brand stands right now across Google AI Overviews, ChatGPT, and Gemini for your category in Thailand, the fastest way is a free AI search audit at audit.prml.com. Five minutes, a tracked database of 1,500+ brands, and a follow-up conversation with our team if the gap to top 2 looks closeable. For anyone at MarketingOops on 11 June 2026, the full version of this research is the keynote, with the playbook in detail. Otherwise the data above is what we walk every client through on the audit call.

The next twelve months will decide the next decade of brand visibility in Thailand. The work that closes that gap starts now.

Explore with AI

ChatGPT Key takeaways Explain principles Create action plan Future perspectives

Perplexity Key takeaways Explain principles Create action plan Future perspectives

Claude Key takeaways Explain principles Create action plan Future perspectives

Grok Key takeaways Explain principles Create action plan Future perspectives