Pattern成为ChatGPT广告技术合作伙伴 新增AI原生投放渠道

This article covers the key announcement that e-commerce ad tech service provider Pattern has become an official technology partner for OpenAI's ChatGPT advertising business. Brands can now place ads directly within ChatGPT via Pattern's platform, marking a new milestone in the commercialization of AI-native advertising.

1. Following this integration, Pattern's ad network now covers all major consumer product discovery and purchasing scenarios, including global leading e-commerce platforms, Google, Meta, Snap, TikTok and ChatGPT, greatly expanding its reach.

2. Pattern has accumulated over 77 trillion multi-dimensional e-commerce data points covering products, categories, and shopping behaviors. This enables the platform to capture real-time shifts in user purchase intent across different scenarios to inform ad targeting.

3. Brands can manage end-to-end omnichannel ad placement, optimization and performance measurement all within Pattern's unified platform, which incorporates AI-powered automation to dramatically improve ad operation efficiency.

Pattern's partnership with ChatGPT brings new channel opportunities and capability upgrades for brand marketing, aligning with future industry trends and helping brands improve their omnichannel marketing performance.

1. The addition of ChatGPT as an AI-native ad channel allows brands to reach consumers in fast-growing emerging AI scenarios, capturing new AI-driven traffic opportunities as user attention increasingly shifts to AI environments.

2. Brands can manage ad placement, optimization and performance measurement across all major channels plus ChatGPT all within a single Pattern platform, eliminating the need to juggle multiple tools and reducing operational costs.

3. Backed by over 77 trillion multi-dimensional e-commerce data points, Pattern can capture real-time shifts in user purchase intent across scenarios, with all targeting decisions informed by cross-channel conversion data to effectively improve ad conversion rates.

4. Pattern's AI-driven automation has already completed billions of automated operations for brands, enabling scalable omnichannel ad placement that matches brands' growth ambitions.

This partnership opens up new growth opportunities in AI-native advertising for sellers, while delivering a more complete omnichannel ad toolset with valuable new resources to leverage.

1. ChatGPT is an emerging AI-native ad channel representing the future of traffic, and sellers can access it quickly via Pattern's platform to expand user reach and unlock new revenue growth.

2. Sellers can unify management of ads across all mainstream social, search and e-commerce platforms as well as new AI channels, with placement, optimization and measurement all completed in one place to drastically reduce the complexity of cross-channel operations.

3. Leveraging Pattern's big data and AI capabilities, sellers can capture real-time shifts in user purchase intent and optimize targeting based on cross-channel conversion data, helping improve ad ROI.

4. As an official 2025 strategic partner of TikTok Shop, Pattern already boasts mature access to all mainstream channels. The addition of the new AI channel further completes its coverage, enabling it to meet sellers' full omnichannel customer acquisition needs.

This partnership brings new business opportunities to factories building out their e-commerce businesses, and offers key insights for factories pursuing digital e-commerce transformation.

1. The commercial launch of AI-native ad channels creates a new touchpoint for factories to promote their private labels and expand sales. New products from factory-owned brands can reach more potential users in this new scenario to open up new growth room.

2. The one-stop omnichannel placement model lowers the barrier to entry for brand marketing for factories. Most factories lack in-house teams and capabilities for full omnichannel marketing; with Pattern's platform, they can launch ads across multiple scenarios through a single portal, eliminating the need to build a complex in-house marketing system.

3. The AI-driven digital upgrade of the advertising industry also offers a key lesson for factories: to digitalize their e-commerce business, they do not need to build all capabilities in-house. By leveraging mature third-party ad tech services, they can access new AI-era traffic faster, capture industry growth opportunities, and reduce transformation risks.

This partnership reveals new development trends in the ad tech service industry and offers multiple takeaways for peer service providers.

1. In terms of industry trends, AI-native scenario advertising has moved from conceptual exploration to commercial implementation. Large language model (LLM) scenarios have officially become a new ad placement frontier, and full omnichannel, full-scenario coverage has become a core competitive differentiator for ad tech providers.

2. A core pain point for brand clients today is the inability to unify management of ads across both established channels and new AI channels, leading to data silos and fragmented workflows. Pattern's unified placement solution directly solves this pain point, offering a replicable model for the industry.

3. Accumulating multi-dimensional industry big data and building AI-driven automation capabilities are the core priorities for ad tech providers looking to scale service capacity and improve efficiency. Pattern's path—accumulating 77 trillion e-commerce data points and delivering billions of automated operations via AI to serve brands at scale—offers a clear blueprint for peers.

4. Gradually expanding collaboration with leading LLM providers from the tool layer through to the execution layer is a viable path for service providers looking to expand their business boundaries.

This partnership reveals shifting merchant demand for ad platforms, and offers multiple insights for marketplace platforms looking to expand business and upgrade operations.

1. Today, brands and merchants' core demand for ad platforms is full omnichannel, full-scenario coverage: they need access to both traditional mainstream e-commerce, social and search channels, as well as emerging AI-native ad scenarios, alongside unified data and unified operations. Platforms can optimize their service offerings to target this need.

2. Pattern's growth path is a useful reference: the company integrated technical capabilities via acquisition, gradually deepened partnerships with leading platforms, and expanded from tool-layer collaboration through to ad execution, steadily expanding business boundaries while reducing expansion risks.

3. Early integration of emerging AI ad scenarios allows platforms to enrich their service capabilities, attract more merchants with omnichannel placement demand, and improve their competitiveness in merchant acquisition.

4. Building out AI-powered end-to-end operational automation can improve platform service efficiency to meet merchants' demand for scalable placement, making it a key direction for platform operational upgrades.

This partnership showcases a new development in the integration of the advertising industry and large models, presents a new industrial cooperation and business model, and provides a valuable new case for related research.

1. In terms of industry trends, LLM commercialization has expanded from general-purpose functional services into the core advertising business. AI-native ad inventory has officially entered commercial deployment, becoming a new advertising traffic frontier alongside search and social media, and the industry landscape is starting to shift.

2. In terms of business models, a new mutually-beneficial cooperation model has emerged: third-party ad tech providers and large model players complement each other's strengths, with large models providing traffic scenarios and third-party providers delivering omnichannel placement technology. This collaboration extends from the tool layer through to ad execution, creating win-win outcomes for both parties.

3. The overall advertising industry is now moving toward full-scenario coverage, data-driven decision making, and AI-powered automated execution, where unified cross-channel data supports placement optimization and AI automation reduces operational costs—this is the emerging industry development trajectory.

4. This partnership also explores a new viable path for large model commercial monetization, making it a case of high research value.