The short version
- OpenAI now offers a beta Ads Manager with CPM and CPC buying options.
- Ads appear below ChatGPT responses, are clearly labeled, and remain separate from the answer.
- Delivery uses conversation context and intent. Context hints are not exact-match keywords and do not guarantee placement.
- A useful paid test starts with an organic visibility baseline, then measures what the campaign adds.
1. What ChatGPT Ads are today
OpenAI now lets eligible advertisers create and manage campaigns through a beta self-serve Ads Manager. Advertisers can set campaign goals, budgets, bids, pacing, ad groups, creative, and landing pages, then review performance in the same portal. OpenAI also supports campaign access through agency and technology partners. The platform is live, but OpenAI still describes the rollout as a beta that is opening gradually. See the official launch update and Ads Manager overview.
The format is intentionally distinct from the answer. An ad appears below a ChatGPT response and includes the advertiser name, favicon, headline, copy, landing page, and image creative. OpenAI says users on Plus, Pro, or any Business plan do not see ads, and accounts identified as belonging to people under 18 are excluded.
Clearly labeled and separate from the answer.
Choose reach or click-focused objectives.
Ads Manager, UTMs, pixel, and Conversions API.
2. How delivery works
ChatGPT Ads are contextual, but they are not a prompt-level version of exact match search ads. OpenAI says its delivery system considers the current conversation's context and intent, the landing page, headline, copy, and advertiser-provided context hints. When ads personalization is enabled, it may also consider selected signals from the user's broader ChatGPT experience.
Context hints describe the conversations, topics, or keywords where an offer may be relevant. They help guide matching, but OpenAI explicitly says they do not guarantee delivery in a specific conversation. That distinction matters: your input is a structured hypothesis about intent, not a list of prompts you can buy one by one. The current mechanics are documented in Ads in ChatGPT: The Basics.
Group real customer questions by problem, use case, audience, constraint, and decision stage. Then translate those clusters into context hints, creative, and landing pages.
3. Connect paid and organic visibility
A paid placement and an organic mention are not interchangeable. A brand may appear in the answer and still benefit from a clearly labeled offer below it. It may also pay for exposure in conversations where the organic answer already does most of the work. You cannot resolve that tradeoff with a blanket rule. You need a baseline and a test.
Before launch, map the questions customers ask, how often your brand is mentioned or cited, which competitors appear, and which sources shape the answer. That gives the media team a view of the organic landscape that Ads Manager does not provide. It also gives you something to compare with paid results later.
Where Aiso fits
Aiso surfaces real customer prompts, organic brand visibility, competitor presence, and citation sources. Your team uses that intelligence to plan the test. OpenAI Ads Manager still creates, delivers, and reports on the campaign.
Explore ChatGPT Ads intelligence4. Measure the complete test
OpenAI currently reports impressions, clicks, spend, click-through rate, average CPC, average CPM, and conversions. Advertisers can use OpenAI's pixel or Conversions API for conversion measurement and add static UTM parameters to landing-page URLs for their existing analytics stack.
That covers paid delivery and post-click behavior. It does not show the full organic answer landscape. A complete evaluation combines both sides:
| Question | Primary source |
|---|---|
| How often did the ad appear and get clicked? | OpenAI Ads Manager |
| What happened after the click? | Pixel, Conversions API, and analytics |
| Where did the brand already appear organically? | Aiso visibility baseline |
| Which questions and intent clusters matter? | Aiso conversation data |
| Which competitors lead the organic answer? | Aiso competitor visibility |
OpenAI's current help documentation recommends starting CPC campaigns with a maximum bid of $3 to $5 per valid click. Treat that as current platform guidance, not a durable market benchmark. Auction conditions, eligibility, and recommended bids can change quickly.
5. A practical 30-day plan
Establish the organic baseline
Choose the category and brand questions that matter. Record mentions, citations, competitors, and sources before paid activity begins.
Build intent clusters
Group prompts by problem, audience, use case, constraints, and decision stage. Match each cluster to a clear landing page and offer.
Launch a bounded test
Create context hints and creative inside Ads Manager. Use UTMs and conversion measurement, and keep the initial budget narrow enough to learn.
Compare paid and organic outcomes
Review delivery, clicks, conversions, and landing-page behavior beside the original visibility baseline. Scale only what added measurable value.
6. Important limitations
- You cannot buy an exact prompt. Context hints influence matching but do not guarantee placement in a specific conversation.
- Paid reach does not cover every ChatGPT user. OpenAI says Plus, Pro, and Business plans do not receive ads.
- Ads Manager does not replace organic visibility measurement.It reports campaign delivery and outcomes, not every answer in which your brand or competitors appear.
- Aiso is independent from OpenAI. Aiso provides the prompt and visibility intelligence layer. It is not a reseller and does not operate the advertiser's OpenAI account.
- The platform is changing quickly. Recheck formats, eligibility, pricing guidance, policies, and measurement documentation before each campaign launch.
See the organic baseline before you buy the reach.
Find the real customer questions, current brand visibility, and competitor gaps behind your first ChatGPT Ads test.