OpenAI has announced a new line of advertising products built on AI agents: autonomous programs that carry out tasks without constant human supervision. The most relevant is called Sponsored Agents, a format that brings brands into the conversations between users and AI assistants, in a contextual and personalized way.
The native integrations with HubSpot and Shopify are the detail that changes things if you run an e-commerce store or a SaaS: there's no need to build custom connections from scratch, because the system already talks to the tools you probably use. If you sell online or manage a structured CRM, you get direct access to this ecosystem.
For Italian SMEs, the point isn't to adopt everything right away. It's to understand where these agents can cut manual work, from campaign management to message personalization, and where the risk of losing control over your brand message outweighs the operational benefit.
What OpenAI announced and why it matters to anyone running ads today
OpenAI has introduced a series of advertising experiences built on AI agents. The core format is called Sponsored Agents: instead of a banner or a classic text ad, the brand joins the conversation a user is having with an AI assistant, at the moment when that conversation is relevant to the product or service offered.
It's not retargeting. It's not keyword advertising. It's closer to a digital sales assistant who understands the context of the request and suggests a branded solution at the right moment. All of it, according to OpenAI, with ready-made integrations for HubSpot (a CRM and marketing automation platform) and Shopify (the world's leading e-commerce platform).
The full source is available directly on OpenAI's website: Reimagining advertising with AI.
Who gains the most from this change
The HubSpot and Shopify integrations aren't a technical detail: they're the quickest way to tell whether this announcement concerns you.
- E-commerce on Shopify: the product catalog, order history and personalization logic are already in the system. An AI agent can use them to suggest the right product in the right conversation, without anyone manually building every message variant.
- SaaS with HubSpot: if you manage sales pipelines and nurturing on HubSpot, you can connect your CRM data to the Sponsored Agents logic, cutting manual work on segmentation and communication personalization.
- Brands with high volumes of assisted conversations: the more users rely on AI assistants for research or purchases, the more relevant this format becomes compared to traditional channels.
If you don't have a structured CRM yet, don't use Shopify or sell very complex products that require human consulting, you'll find little immediate value. The typical mistake is thinking it's enough to switch on the integration: without clean data and a clear content strategy, the agent has nothing to work with.
The parallel with AI agents already used in marketing
This announcement doesn't come in isolation. In recent months we've seen the ecosystem of AI agents applied to marketing grow on several fronts. If you've already explored how Google Data Manager uses AI agents for data audits and targeting, you'll recognize the same logic: automating repetitive operations like data collection, segmentation and optimization to free up time for strategic decisions.
The same goes for anyone who has read about how the OpenAI coding agent applied to research and martech works: the direction is consistent. OpenAI is building an ecosystem where agents aren't isolated tools, but components of a continuous operational flow.
If you manage WhatsApp Business automations, you'll also find it useful to compare this with the automated setup via MCP for AI agents: the logic of delegating tasks to an agent that works on a conversational channel is the same. Only the channel and the context change.
What Sponsored Agents don’t do — and the mistake to avoid
AI agents don't replace brand strategy. They amplify what already exists in the data and content you give them. If your positioning is unclear or your product catalog is disorganized, the agent will replicate that confusion faster and at greater scale.
Three concrete limits to keep in mind:
- Tone control: in a conversational format, the brand message is adapted to the context of the conversation. If your brand identity is very strict, you need to decide how much room for adaptation is acceptable.
- Transparency toward users: a sponsored format inside an AI conversation is new for end users. Expectations and perceptions of this kind of advertising are still taking shape.
- Ecosystem dependence: if you don't use HubSpot or Shopify, you'll have to wait for future integrations or build custom connections, with costs and timelines the source doesn't specify.
If you want to dig deeper into how OpenAI is evolving its marketing capabilities, the comparison with GPT-6 Astra and the implications for marketing in 2026 offers a broader picture of where the platform is heading.
What to do in the coming days if you run campaigns or an e-commerce store
There's no open public access to all the announced products yet. The right time to act is now, but in a preparatory way:
- Check the status of your HubSpot or Shopify integration: incomplete, duplicated or poorly segmented data will make any AI automation useless. Cleaning up your CRM today is an investment that pays off regardless of OpenAI.
- Map your conversational touchpoints: where are your customers already asking an AI assistant questions? Products, prices, comparisons, post-sale support? These are the most natural entry points for a format like Sponsored Agents.
- Follow program updates directly on OpenAI's dedicated page and register your interest if available: beta programs tend to give priority access to those who move first.
If you want to follow the evolution of this ecosystem systematically, the section on automation and AI agents collects all the relevant updates for anyone managing marketing and digital operations in a company.
SHM Studio closely follows these developments for clients who run e-commerce and SaaS campaigns: if you're evaluating how to integrate AI agents into your marketing stack, the page dedicated to AI services is the place to start.
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