Until now, a paid ad has made a promise and the landing page has kept it. The headline gets the click, and the product page, reviewed by legal and signed off by the brand, does the explaining. OpenAI's latest ChatGPT Ads test changes where that explaining happens. In the new format, the first detailed answer a shopper gets about your product may come from an agent speaking for you inside ChatGPT, not from a page you wrote.
What OpenAI announced on 16 September
OpenAI is testing Sponsored Agents with select advertisers in the United States, according to PPC Land, Search Engine Roundtable and Unite.AI. After seeing a relevant ad, a user can open a separate, clearly labelled conversation with an agent the business sponsors, ask follow-up questions, and then follow a link to the advertiser's website. OpenAI says the conversation is distinct from ChatGPT's independent answers and separate from the user's original ChatGPT conversation. OpenAI's own example, as reported by PPC Land and Unite.AI, is a shopper who sees an ad for a dining table and asks the agent about room fit, seating capacity and care before clicking through.
The same announcement covered the buying side. Advertisers can create, update and analyse campaigns with natural-language prompts through an Ads Manager plugin in ChatGPT, including ChatGPT Work. PPC Land reported on 3 September that the plugin previews recommended changes and asks for confirmation before applying them. Separately, Ads Manager can suggest copy and imagery based on the landing page and campaign objective, although OpenAI's email to advertisers describes that feature as still in testing. An opt-in text customisation setting adapts existing headlines and descriptions to the conversation and translates them into the user's language. HubSpot is the first CRM partner: users can connect a ChatGPT Ads account, create ads, track performance and follow up leads inside HubSpot. US Shopify merchants get a free ChatGPT Ads app, whose App Store listing dates its release to 3 September, and it rolls out from 23 September in markets where ChatGPT Ads runs.
For the buying basics outside the US, see our earlier piece on ChatGPT Ads going self-serve in Europe and the Middle East. This article is about the agent itself.
Why an agent is a different kind of ad
A display or search ad is a fixed object. You write it, a reviewer approves it, and the approved version is what people see. An agent is not fixed. Each answer is generated in response to a question you did not write, so no one can approve every answer in advance. What you approve instead is the material the agent draws on and the rules it follows.
That moves the risk. A slightly wrong headline costs a click. A wrong answer about compatibility, delivery, a price or a refund is a written statement in your brand's name to a customer who is about to buy. In the regulated categories many agencies work in, such as forex, gaming, financial services and real estate, a single improvised sentence about returns or eligibility can be a compliance problem, not just a poor experience.
It also changes what the landing page is for. If the agent has already answered the sizing question, the visitor who clicks through arrives further along. The page has to confirm and close, and it has to agree with what the agent said. Two sources of truth that disagree will cost more trust than either one alone.
What a brand needs before running one
OpenAI has not published how Sponsored Agents are configured, so the list below is not a setup guide. It is the groundwork any brand needs for a customer-facing agent, and it is worth doing before a place in the test, or a wider rollout, arrives.
| Component | What it covers | How to test it |
|---|---|---|
| Knowledge base | Current product facts, prices, stock rules, delivery, returns, warranties | Every answer traces to a dated, owned document |
| Guardrails | Topics the agent must refuse or hand off: legal, medical, financial advice, competitors | Adversarial questions produce a refusal, not an improvisation |
| Brand voice | Tone, terms to use and avoid, how certain the agent may sound | A reviewer cannot tell answers from approved copy |
| Escalation | When to send the user to a person, a form or the website | Complex or unhappy queries reach a human route |
| Measurement | Which events count, and in which attribution window | Conversions reconcile with orders or CRM leads |
| CRM hand-off | What reaches sales, in which field, with what consent | A test lead arrives complete and correctly tagged |
The knowledge base is where most of the effort goes. Agents answer from what they are given, so outdated price lists, retired products and inconsistent returns wording become confident wrong answers. Give each fact an owner and a review date, and remove anything you would not want quoted back to you. Guardrails are the other half: write down the questions the agent must decline, then try to break them with the questions a sceptical customer, a competitor or a journalist would ask.
Measurement and hand-off are the weak points today. OpenAI's 16 September email to advertisers, published by Search Engine Roundtable, says Ads Manager reporting now offers a 7-, 14- or 30-day click window and a 0- or 1-day view window, plus an Event Quality Score that gives eligible Pixel and Conversions API data sources a setup score from 1 to 10. None of that tells you what happens inside an agent conversation, and OpenAI has not said whether advertisers will see turns, questions or transcripts. The HubSpot integration makes lead follow-up the obvious route, which puts consent and field mapping on the checklist before any volume arrives.
Putting AI to work shouldn’t require businesses to rebuild the way they work.
That is the pitch for the HubSpot integration, and OpenAI's own post makes the same case for both partnerships, arguing that a new ad channel should not force businesses to change how they work. For small merchants it may hold. For a Sponsored Agent it holds only partly. The campaign can live in your existing tools, but the agent's knowledge, rules and escalation paths are new work no integration does for you.
What to do this quarter
- Audit the facts an agent would need: product specifications, prices, delivery terms and returns policy. Fix contradictions between your site, feeds and sales material now.
- Write a one-page guardrail brief listing refused topics, required disclaimers and the handover point to a human. In regulated sectors, have compliance sign it.
- Build a red-team set of a few dozen awkward, off-topic and hostile questions, and reuse it for any customer-facing agent, sponsored or on your own site.
- Check your Pixel and Conversions API setup, and map how a ChatGPT-sourced lead would enter your CRM, including source tagging and consent status.
- Decide who owns the agent after launch. Knowledge goes stale, and someone has to review answers, retire products and update prices on a schedule.
For brands outside the US there is no Sponsored Agent to buy yet, and no published date for one. The Shopify app's international rollout from 23 September is the nearer change for ecommerce clients. The agent format is still worth preparing for, because the groundwork is the same as for any conversational AI a brand puts in front of customers, and it takes longer than writing ad copy.
Sources
- https://ppc.land/openai-lets-advertisers-run-chatgpt-ads-from-hubspot-and-shopify/
- https://www.seroundtable.com/openai-chatgpt-sponsored-agents-42104.html
- https://www.unite.ai/openai-tests-sponsored-agents-and-rolls-out-ai-tools-for-chatgpt-ads/
- https://www.hubspot.com/company-news/hubspot-and-openai-deepen-partnership



