How ChatGPT's Sponsored Responses Work (And How to Block Them)

If you've asked ChatGPT a product question recently - "what's the best standing desk?", "recommend a project management tool" - you may have noticed something unusual: the first recommendation sometimes has a small label beneath it. Barely visible. Easy to scroll past. That label reads "Sponsored", and what sits above it is a paid placement, not an organic AI answer.

OpenAI began rolling out sponsored responses in late 2024, initially in limited A/B tests and later to a broader user base. Unlike traditional banner ads, these placements are woven directly into the response text - making them far more persuasive and far harder to distinguish from genuine recommendations.

In this guide we'll explain exactly how ChatGPT's sponsored response system works technically, how to identify sponsored content yourself, and how AdNeutral's filter rules remove it. We'll also cover how to write your own custom rules if OpenAI changes the structure.

What Are ChatGPT Sponsored Responses?

ChatGPT sponsored responses are paid product or service recommendations injected into conversational replies. They differ from traditional ads in one critical way: they appear to be part of the AI's answer, not beside it.

When a user asks a purchase-intent question - anything that signals they might buy something - the model can serve a sponsored first-result. The response looks identical to an organic answer, except for a small disclosure label positioned below the recommendation.

The sponsored placements are served dynamically via a separate API endpoint from the main chat completion endpoint. This means the model itself doesn't "know" the response is sponsored - the content is injected into the rendered HTML after the model's output is received.

How to Identify Sponsored Content in ChatGPT

Open ChatGPT's developer tools (F12 on Windows, Cmd + Option + I on Mac) and inspect a sponsored response. You'll find a container with two consistent identifiers:

First, a data-sponsor attribute on the outer wrapper element. Second, an inner container with a class matching the pattern *-sponsored-* or *-promoted-*. These class names are obfuscated (hashed), but the data attribute is stable because it's used by OpenAI's own analytics pipeline.

The disclosure label itself sits inside a <span> with a class matching [class*="sponsor-label"] or [class*="promoted-indicator"]. This label is also a reliable selector, though OpenAI has changed the inner text from "Sponsored" to "Partner" in some A/B tests.

CSS Selectors That Target These Elements

Here are the core selectors used in AdNeutral's ChatGPT rule set. Because class names are hashed, we rely on attribute selectors and structural patterns rather than exact class matches:

/* Hide sponsored response wrapper by data attribute */
[data-sponsor="true"] { display: none !important; }

/* Hide promoted/sponsored inner containers */
[class*="-sponsored-"],
[class*="-promoted-"],
[class*="sponsor-container"],
[class*="promoted-result"] { display: none !important; }

/* Hide the disclosure label (belt-and-suspenders) */
[class*="sponsor-label"],
[class*="promoted-indicator"],
[class*="sponsored-disclosure"] { display: none !important; }

/* Hide the ad attribution line ("Suggested by partner") */
[class*="partner-attribution"] { display: none !important; }

AdNeutral also applies a network-level rule that intercepts requests to ChatGPT's sponsored content endpoint (api.openai.com/v1/sponsored*), preventing the content from loading at all - a more thorough approach than cosmetic filtering alone.

How AdNeutral Blocks Them

AdNeutral uses a two-layer blocking strategy for ChatGPT sponsored responses. The first layer is a declarative network rule (using Chrome's DNR API and Firefox's WebRequest API) that blocks the sponsored content API endpoint before it ever reaches your browser.

The second layer is a cosmetic filter - the CSS selectors shown above - which catches any sponsored content that makes it through (for instance, when OpenAI rotates to a new endpoint URL). Both layers run in the browser extension's background service worker, with no additional latency added to your ChatGPT experience.

Writing Your Own Rules (Pro)

If OpenAI updates its sponsored response structure and AdNeutral's built-in rules haven't yet caught up, you can write a temporary custom rule yourself. Here's the process:

1. Open ChatGPT and trigger a sponsored response

   Ask a product question like "What's the best laptop for video editing under $1500?" and wait for a sponsored result to appear.

2. Inspect the sponsored element

   Right-click the sponsored result and select "Inspect". Look for a data-sponsor, data-ad, or data-promoted attribute on the outermost wrapper element.

3. Write a custom element-hiding rule

   In AdNeutral's extension popup, go to Custom Rules and add:

   text

   chat.openai.com##[data-your-attribute="true"]

   Replace data-your-attribute with the actual attribute name you found.

4. Test and submit

   Reload ChatGPT and verify the sponsored content is hidden. If the rule works, open a GitHub issue with the selector so we can add it to the built-in rule set for everyone.

Frequently Asked Questions

ChatGPT's sponsored responses represent a fundamental shift in how AI platforms are monetised - and they're only going to expand. As OpenAI begins serving ads in more query categories and to more users globally, the line between AI answer and paid placement will blur further.

AdNeutral exists precisely because this problem is unique to AI platforms and requires a purpose-built solution. We update our rules daily, our code is open source, and the core blocking is always free.