--- title: "TikTok Shop's Southeast Asian sales grew tenfold in three years. Every major market in the region more than doubled year on year in 2025." description: "TikTok and Meta are betting on agents that work for sellers, not shoppers. In Southeast Asia, the operational agent is the opportunity." date: 2026-08-17 dateModified: 2026-08-17 author: "Malin Gaertig" canonical: https://marksuite.ai/insights/tiktok-meta-seller-agents-agentic-commerce categories: ["Market data"] publisher: MARK (https://marksuite.ai) --- # TikTok Shop's Southeast Asian sales grew tenfold in three years. Every major market in the region more than doubled year on year in 2025. *Agentic commerce — 2026-08-17* TikTok and Meta have both bet on agents that work for the seller, not the shopper. In Southeast Asia, where live-stream selling is the default discovery layer, the immediate opportunity is adopting the operational agent your platform is already handing you. TikTok Shop's Southeast Asian sales grew tenfold in three years. Every major market in the region, Indonesia, Thailand, Vietnam, Malaysia, the Philippines, more than doubled year on year in 2025. Every post in this series so far has been about a consumer asking an AI where to buy something, ChatGPT, Gemini, Meta AI, Comet. TikTok has skipped that fight entirely and its SEA numbers explain why. In Thailand and Vietnam, live-stream selling is the default discovery mechanism, multi-hour sessions where hosts sell products in real time to audiences already watching. Nobody in that audience needs to ask an assistant what to buy. The discovery already happened, live, on video, before the question would ever get typed. Building a chat-based shopping assistant into a market that runs on live commerce solves a problem that market doesn't have. This is the fifth in a short series on the different types of agents shaping how, and whether, brands get chosen. Where the first four posts were about agents working for the shopper, TikTok and Meta have both put their AI effort into agents working for the seller instead. TikTok's investment sits entirely there. Seller Assistant, built into TikTok Shop's own dashboard, became fully agentic in July, reasoning through problems and taking actions with a seller's permission across products, orders, finance, shipping and returns. AI Homepage replaces the seller dashboard with five specialised agents surfacing shop data and next actions automatically. Meta has arrived at the same answer from a different angle. Its Business Agent lets a business run its own AI storefront inside WhatsApp, Instagram or Messenger, recommending from its own catalogue and closing sales. The reasoning behind each platform's bet is different. TikTok's biggest SEA markets already run on live, video-led discovery so a chat assistant would be solving a problem that doesn't exist there. Meta's logic is different: WhatsApp and Messenger already carry huge volumes of businesses closing sales manually inside chat threads so an agent that can answer, recommend and close within that same conversation is a natural extension of existing behaviour, not a replacement for a discovery layer Meta is still building in parallel through Meta AI. Different starting points but both arrived at the same conclusion e.g. the commercial upside for both platforms sits on the seller's side first. For sellers, especially in SEA, the opportunity right now isn't being found by someone else's chat agent. It's adopting the [operational agent your own platform is already handing you](/product/agentic-readiness-score) and the sellers moving first on Seller Assistant and Business Agent are gaining a real edge over the ones still waiting. ## Key takeaways - TikTok Shop's SEA sales grew tenfold in three years; live-stream selling is the default discovery layer, so TikTok has focused its AI investment on seller-side agents rather than shopper chatbots. - Meta's Business Agent turns WhatsApp, Instagram and Messenger into AI storefronts for businesses, extending behaviour that already happens in chat threads rather than replacing Meta AI discovery. - For sellers in SEA and beyond, the immediate edge is adopting the operational agents your platform already provides — Seller Assistant and Business Agent — not waiting for chat-based discovery. Source: https://marksuite.ai/insights/tiktok-meta-seller-agents-agentic-commerce ## See also (related MARK analysis) - [Just in: What Google Killing Assistant for Gemini Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/google-killing-assistant-gemini-brands-selling-through-ai-agents) - [Just in: What The Trade Desk Going Agentic Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/trade-desk-ask-koa-agentic-brands) - [Just in: What Amazon's ChatGPT Ad Deal Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/amazon-chatgpt-ad-deal-brands-selling-through-ai-agents) - [Just in: What Retail Media's US$200 Billion Ceiling Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/retail-media-200bn-ceiling-ai-agents) - [Product suite](https://marksuite.ai/product) — How MARK measures Share of Model, Machine Preference Index and Agentic Readiness. - [Framework guides](https://marksuite.ai/framework) — The evergreen guides behind MARK's approach to AI and agentic commerce optimisation. ## About the publisher This analysis is published by MARK (https://marksuite.ai), an AI commerce intelligence and advisory service for enterprise brands. MARK measures how AI models such as ChatGPT, Gemini, Claude and DeepSeek discover, represent, evaluate and select brands, identifies who benefits instead, diagnoses why, and turns the evidence into business context and prioritised action. Written by Malin Gaertig. ## About the author Malin Gaertig is a key person to speak to about Agentic Commerce and how it impacts a company's commercial growth. Malin founded MARK, an AI commerce intelligence and strategic advisory service that combines proprietary technology with 15 years of experience across growth marketing, digital, ecommerce and transformation. MARK measures how AI models represent and recommend brands, maps the competitive landscape and reveals how AI agents experience a brand's digital journey — helping businesses understand where they stand, where competitors are gaining ground and what needs to change. Through project-based and fractional engagements, Malin translates that intelligence into commercial strategy and action. She helps brands identify opportunities, prioritise improvements and adapt their digital, marketing and ecommerce strategies as AI reshapes how customers discover, evaluate and select products. MARK provides the intelligence. Malin brings the interpretation and strategic direction. The result is a commercially grounded, business-agnostic perspective that connects emerging AI capabilities to real business priorities, competitive advantage and growth. Related MARK pages: https://marksuite.ai/score (AI Commerce Benchmark), https://marksuite.ai/product (AI commerce intelligence and measurement), https://marksuite.ai/framework (framework guides). Cite as: MARK — https://marksuite.ai