Based on
OpenAI's current test separates the ad from the response
OpenAI's official help page describes ads below the response with a separate sponsored label; it says advertisers cannot alter or rank the response text. The ad policy was updated 15 July 2026. We treat this as the operator's stated product behavior, not proof that every placement is error-free.
This page does not assume that every unlabeled recommendation is neutral.
Four different signals
| What you see | What it means | Next action |
|---|---|---|
| Labeled ad unit | A paid placement adjacent to the answer | Open the ad explanation |
| Brand named in the response | Does not by itself prove payment | Ask for selection criteria |
| Product claim | A checkable external claim | Open a primary source |
| Model agreement | Corroboration, not proof | Inspect shared sources and gaps |
Manual verification workflow
- 1. Record the interface: Look for a separate sponsored label, advertiser identity, and an explanation control. Do not call an ordinary answer an ad merely because it names a brand.
- 2. Extract the checkable claim: Write down the exact recommendation, price, feature, limit, or selection reason. Verify the claim rather than the confident tone.
- 3. Open independent sources: Check current features, terms, and alternatives through VUST Search or primary documentation. An ad card is not evidence for the product claim.
- 4. Review the reasoning separately: Council can compare criteria and surface model disagreement. Model agreement does not prove that a recommendation is commercially independent or correct.
Official basis: ads help page and ad policies.
- Based on
- Official OpenAI pages and a manual verification workflow, not VUST user data.
- Best for
- Buying advice and comparisons where the source and selection criteria matter.
- Not ideal for
- Proving hidden commercial relationships or making a legal advertising determination.
- In short
- Separate the labeled ad from the response, then verify the recommendation independently.