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ChatGPT 将测试图像生成视觉广告

AI 总结

OpenAI 宣布本月晚些时候在美国开始测试 ChatGPT 的新视觉广告形式,首批出现在用户用 ChatGPT 生成图片的过程中,广告会明确标注、与生成的图片分离,也不会影响 ChatGPT 的回答;Free 和 Go 套餐用户可见,Plus/Pro 与 Enterprise 不受影响。OpenAI 同时扩充广告衡量与转化伙伴(Hightouch、Tealium、LiveRamp、AppsFlyer、Triple Whale、Adjust 等),并与 DoubleVerify、Integral Ad Science 试点品牌适配评估,称 ChatGPT 每周触达 12 亿人。据 36氪 汇总,OpenAI 同日还推出名为 textGrain 的不可见文字水印(面向欧盟 AI Act,API 客户可主动开启,并计划开源),并将 GPT-6 Astra 与 GPT-6.1 Sol 的订阅默认生成速度提升约 50%(报道称从每秒 30 token 提升到 50 token)。

为什么重要:广告是 OpenAI 把免费与低价套餐用户规模变现的主要路径,但视觉广告与衡量体系的扩张能否不损害用户信任,仍待测试验证。

OpenAIChatGPTGPT-6 Astra

相关来源 36氪 人工智能 · Engadget AI · OpenAI · TechCrunch AI

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来源原文OpenAI · 约 4 分钟读完

We’re introducing a new visual ad format in ChatGPT, expanding our measurement tools and partnerships, and developing new ways to understand brand suitability.

ChatGPT reaches 1.2 billion people each week, making it the world’s largest AI-native consumer platform. Advertising helps us bring the benefits of AI to more people. That broad access is central to our mission, and a strength of our business. It allows us to serve a much larger market than subscriptions alone, while giving businesses a new way to reach people as they explore ideas, make decisions and discover products and services relevant to what they’re trying to accomplish.

Bringing products and services to life

Our new visual ad format helps people imagine how products and services could fit into their lives. Through images showing product inspiration, product usage, or the experiences they make possible, people can discover a new brand, understand what makes an offering distinctive, and decide what to buy. For advertisers, this creates new opportunities to tell their story through images.

Initially, we’ll test this new ad format during image generation in ChatGPT for users on the Free and Go plans. Ads will be clearly labeled, and remain separate from the image being created. As with our other ad formats, advertising does not influence the answers ChatGPT provides.

Testing will begin later this month in the US with an initial group of advertisers.

Measuring the impact of ChatGPT Ads

Our measurement philosophy for ChatGPT Ads is focused on supporting both in-house and partner-led measurement solutions. Today, we’re expanding our measurement tools and partner ecosystem to help advertisers understand how ChatGPT Ads contribute to their business using the systems they already rely on.

Integrations with Hightouch, Tealium, and LiveRamp make it easier for advertisers to send conversion data from their existing systems to ChatGPT Ads.

We now support leading attribution partners across the web and app space, enabling Conversions API, reporting, and click attribution solutions with companies including AppsFlyer, Triple Whale, Adjust, DV Rockerbox, Northbeam, Branch, Singular, Kochava, Airbridge, and Tenjin. We also have partnerships with full-funnel and advanced measurement partners, including Fospha, Measured, and INCRMNTAL.

Incrementality measurement plays an important role in building a fuller understanding of advertising’s business impact. While our work on incrementality is still in its early stages, we’re partnering with Haus, Measured, and WorkMagic to explore geo-based experiments to help advertisers understand the causal impact of ChatGPT Ads.

Early partner findings illustrate strong performance across different measurement approaches. According to DV Rockerbox, WeightWatchers’ attributed cost per acquisition on ChatGPT Ads was 15.3% lower than its blended paid-search benchmark. WorkMagic reported statistically significant lift for wellness brand Dose, with 67% of incremental purchases coming from net-new customers. And according to Triple Whale, 93% of Portland Leather’s visitors from ChatGPT Ads were new.

Read more about these measurement tools and partnerships on our Ads Blog here⁠(opens in a new window).

Building confidence in alignment with our Ads Principles

Confidence in advertising also depends on understanding the environment where ads can appear. OpenAI’s advertising policies and guardrails are designed to protect users, preserve trust, and give brands confidence in their ad placements. Our placement guardrails assess whether a conversation is appropriate for advertising, helping keep ads out of emotionally vulnerable, sensitive, or otherwise unsuitable contexts.

Automated review, human oversight, and ongoing monitoring help us identify and address policy violations and improve our safeguards over time. For narrow placement requirements specific to a brand’s own policies, Negative Phrases are now available to qualifying advertisers.

We’re also developing brand suitability evaluation pilots with DoubleVerify (DV) and Integral Ad Science (IAS) to help advertisers build a better understanding of the ads environment. This approach allows independent partners to assess how our brand safety standards are applied in a controlled testing environment, without accessing private user conversations. Our goal is to give advertisers greater transparency into how those safeguards work while protecting conversation privacy.

Expanding the features of ChatGPT Ads

Our new visual ad format helps people discover products and services and imagine how they could fit into their lives, while giving advertisers new ways to tell their stories more visually. Across ChatGPT Ads, expanded measurement and brand suitability efforts help businesses understand campaign impact and build confidence in the contexts where their ads appear. These features are consistent with our ads principles: ChatGPT’s answers stay independent, conversations stay private, and users remain in control of their experience.

Today’s updates are part of our broader ambition to help people discover products and services, evaluate options, and make decisions in ChatGPT. We will continue to evolve our ad platform with new formats and capabilities to help businesses reach customers in useful and relevant ways and provide opportunities for businesses of all sizes to grow and thrive.

Businesses can sign up today for ads at ads.openai.com⁠(opens in a new window)⁠⁠.

阅读原始来源 →

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