What Are Generative AI Platforms? A Brand Marketer's Guide for Southeast Asia

Imagine a customer in Jakarta opens ChatGPT and types: 'What's the best skincare brand for oily skin in Indonesia?' Within seconds, they receive a confident, synthesised answer — recommending specific brands by name. No search results page. No scrolling. No clicking through five tabs. Just an answer.

If your brand is not in that answer, you effectively do not exist for that customer in that moment.

This is the new reality of brand discovery in Southeast Asia. Generative AI platforms — ChatGPT, Google Gemini, Perplexity, and Bing AI — are rapidly becoming the first stop for consumers researching products, comparing options, and making purchase decisions. And across Indonesia, Singapore, Malaysia, Thailand, Vietnam, and the Philippines, adoption is accelerating faster than most brand marketers realise.

This guide explains exactly what generative AI platforms are, how they work, why they matter for brands operating in SEA, and how to start measuring and improving your visibility inside them.

What Is a Generative AI Platform?

A generative AI platform is a software system powered by a large language model (LLM) — an AI trained on massive amounts of text data — that can generate human-like responses to questions, commands, and prompts. Unlike traditional search engines that return a list of links, generative AI platforms synthesise information from multiple sources and deliver a single, conversational answer.

The most widely used generative AI platforms for brand discovery in 2026 are:

• ChatGPT (OpenAI) — The market leader, processing 2.5 billion prompts daily and reaching 800 million weekly users globally.
• Google Gemini — Directly embedded in Google Search via AI Overviews, with over 750 million monthly users; now expanded to Indonesia, Singapore, the Philippines, and Vietnam (April 2026).
• Perplexity AI — A research-focused AI search engine with 170 million monthly visits, popular among professional and high-intent users.
• Microsoft Copilot (Bing AI) — Deeply integrated into Microsoft 365 and enterprise workflows across SEA.
• Claude (Anthropic) — Growing rapidly among professionals and brand teams, reaching 157 million monthly visits.

What makes these platforms transformative for marketing is not just their scale — it is their role in the consumer decision journey. According to Similarweb's 2026 research, AI tools now hold a 2-to-1 or greater advantage over traditional search at every stage from product discovery through evaluation. The consumer journey is no longer starting in a search bar. It is starting in a chat window.

Why Generative AI Platforms Matter for SEA Brands

Southeast Asia is not a laggard in this shift — it is among the fastest-moving regions globally.

According to Deloitte research across Indonesia, Malaysia, the Philippines, Thailand, and Vietnam, 90% of students and 72% of employees in the region have already used generative AI. Daily usage in Southeast Asia stands at 19% — more than double the rate in Australia (8%) and nearly five times Japan (4%). Developing economies like Indonesia are driving this surge, with a 30% higher share of generative AI users compared to developed Asia-Pacific economies.

In Indonesia specifically, the signals are striking. The country has over 3.1 million developers on GitHub — the third-largest community in Asia-Pacific — and recorded 213% year-on-year growth in public generative AI projects in 2023. Indonesia's generative AI market is projected to grow at a compound annual rate of 46.48% through 2030, and Google has already expanded Gemini's integration in Chrome directly to Indonesian users in 2026.

How Generative AI Platforms Decide Which Brands to Mention

Understanding why AI platforms mention certain brands — and not others — is essential for any marketer who wants to improve their visibility.

Generative AI platforms do not rank brands the way Google ranks web pages. They synthesise answers based on what they have learned from training data and, increasingly, from live web search results they retrieve in real time. When someone asks ChatGPT for a product recommendation, the model draws on three main signals:

1. Third-party authority — Reviews, articles, and mentions in credible publications, e-commerce platforms, and community forums like Reddit and YouTube. Brands mentioned consistently across multiple independent sources are treated as more credible.
2. Brand-managed content — Structured, well-organised content on a brand's own website that AI crawlers can easily read and interpret. According to Yext research, 86% of AI citations come from brand-managed sources such as local pages and listings.
3. Consensus across sources — LLMs weigh consensus. A brand that appears across publishers, review platforms, and community forums looks like a consensus — and consensus is what LLMs are designed to surface. Brands are 6.5x more likely to be cited through third-party sources than their own domains alone.

One important nuance for the SEA market: the major AI platforms today primarily operate in English, which means Indonesian brands whose digital presence is primarily in Bahasa Indonesia may face a visibility gap. Building authoritative English-language content that accurately represents the brand — alongside local-language content — is an increasingly important strategic priority.

The New Metric: Brand Mention Share

Traditional digital marketing tracks metrics like organic ranking position, website traffic, and click-through rate. In the world of generative AI platforms, these metrics are insufficient.

The metric that matters is brand mention share — the percentage of relevant AI-generated responses that include your brand name, compared to your competitors.

Why it matters:

• AI Overviews now appear in approximately 48% of all Google searches
• Organic click-through rates drop by 61% for queries where an AI Overview is present
• 75–93% of AI search sessions end without any external clicks
• When AI platforms do refer users to external sites, those visitors convert at a 7% rate — vs. 5% from Google referrals

For brands selling through Shopee, TikTok Shop, or Tokopedia, this is particularly important. When a consumer in Surabaya or Bandung asks Gemini 'What protein supplement should I buy on Shopee?', the AI's answer shapes what they search for next — or what they buy directly. According to Fortune research, some major e-commerce brands are already attributing up to 10% of their revenue to AI-driven agentic channels.

Generative AI Platforms vs. Traditional Search: Key Differences for Marketers

Understanding how generative AI platforms differ from traditional search helps clarify what a brand needs to do differently.

Key insight: SEO and GEO (Generative Engine Optimisation) are complementary but not the same discipline. Strong SEO performance helps feed GEO results — AI platforms often pull from top-ranking Google content — but high Google rankings do not guarantee AI visibility. Research confirms that the overlap between top Google links and AI-cited sources has dropped from 70% to below 20%.

GEO: The Practice of Optimising for Generative AI Platforms

Generative Engine Optimisation (GEO) — also called Answer Engine Optimisation (AEO) — is the practice of structuring a brand's content and digital presence so that AI platforms accurately understand, cite, and recommend it.

According to Conductor research, 32% of digital marketing leaders now rank GEO as their top priority for 2026, up from 12% of digital budgets in 2025. The window to establish early advantage is still open for SEA brands — particularly because zero dedicated GEO tooling or content strategy exists in the Indonesian market today.

The core GEO principles most actionable for brand marketers in Indonesia and the broader SEA region:

1. Structure content for extraction: use clear H2/H3 headings, definition-first writing, numbered lists, and FAQ sections. If an answer is buried in a long paragraph, AI models are less likely to surface it.
2. Build third-party presence: earn media coverage from Indonesian publications, participate in relevant online communities, and build review presence on local platforms. Brands appearing across multiple independent sources are weighted more heavily.
3. Ensure AI crawlers can access your content: check your robots.txt and CDN settings. Brands using Cloudflare should verify whether the default configuration is blocking AI bots — it changed silently in 2025.
4. Track your AI visibility: identify 10–20 questions your target customers in Indonesia or SEA would ask a generative AI — such as 'best [category] brand in Indonesia' or 'top [product] on Shopee' — and query ChatGPT, Gemini, and Perplexity regularly to benchmark your brand's appearance and competitors' mentions.

The Generative AI Platform Landscape in Southeast Asia: What Brands Need to Know in 2026

The generative AI platform market in SEA is evolving quickly, and the competitive dynamics differ from the global picture in several important ways.

How Intura Helps Brands Track and Improve AI Visibility in SEA

Monitoring and improving your brand's presence across generative AI platforms requires purpose-built tools. Manual testing across ChatGPT, Gemini, and Perplexity is a useful starting point, but it does not scale — and it misses the high volatility in how AI-generated answers change over time (40–60% of cited sources shift month to month).

Intura is a Digital Market Intelligence Platform built specifically for brands operating in Southeast Asia. Intura's AI Brand Mention Tracking monitors how your brand is described, cited, and ranked across ChatGPT, Gemini, Perplexity, and Bing AI — giving marketing teams a real-time view of their AI visibility alongside social media and e-commerce analytics.

• AI Brand Mention Tracking — Monitor brand citations across ChatGPT, Gemini, Perplexity, and Bing AI in real time.
• Competitive AI Ranking & Benchmarking — See how your brand compares to competitors in AI-generated answers for your key categories.
• AI Content Gap Mapping — Identify questions where your brand is not being mentioned and build targeted content to fill those gaps.
• Sentiment Analysis — Understand not just whether AI mentions your brand, but how it describes it — positive, neutral, or with caveats.
• Performance Creator Analytics — Track TikTok, Instagram, and social content performance — which directly feeds AI visibility through third-party consensus signals.

For brands in Indonesia — where Shopee, TikTok Shop, and Tokopedia compete for the same consumer attention — having a single platform that connects social media analytics, creator performance, and AI brand visibility is a meaningful competitive advantage. Learn more at intura.co.

Key Takeaways

• Generative AI platforms — ChatGPT, Gemini, Perplexity, and Bing AI — are reshaping how consumers in Southeast Asia discover and evaluate brands, particularly at the research and consideration stage of the purchase journey.
• Adoption in SEA is accelerating: 90% of students and 72% of employees in Indonesia, Malaysia, the Philippines, Thailand, and Vietnam have used generative AI, with daily usage far outpacing more developed markets.
• The key metric for generative AI visibility is brand mention share — how often your brand appears in AI-generated answers for relevant queries, relative to competitors.
• GEO (Generative Engine Optimisation) is the emerging discipline for improving AI visibility. It requires structuring content for extraction, building third-party consensus, and ensuring AI crawlers can access your site.
• For Indonesian and SEA brands, TikTok and creator content directly influence AI visibility — platforms like Intura connect social analytics and AI brand monitoring in one view.
• The window to establish an early AI visibility advantage is open now. Brands that start measuring and optimising today will compound that advantage as AI adoption in SEA continues to accelerate.