You advertise on ChatGPT through OpenAI Ads, OpenAI's advertising platform, which places sponsored results inside conversations. Advertising on ChatGPT requires your own OpenAI Ads account with billing, brand review and identity verification complete, after which you build campaigns, ad groups and ads. KIME Ads Manager gives you that whole structure inside KIME and connects to your OpenAI Ads account with an API key, so targeting is informed by the prompts KIME already tracks for your brand.

KIME Ads Manager is a campaign management tool for OpenAI Ads that runs inside KIME's AI visibility platform. It covers campaigns, ad groups, ads and reporting, and it adds AWX, an agentic engine that drafts campaigns from the prompts where your brand is absent from the AI answer. AWX only ever produces drafts: a proposal carries a $0.00 budget and is never sent to OpenAI Ads until someone on your team accepts it. Ads Manager sits alongside Monitor and Actions rather than replacing them, sharing one workspace, one set of prompts and one reporting timeline.

ChatGPT ads cost what you bid, because pricing is set by your own bids and budgets in OpenAI Ads rather than by KIME. You choose a daily budget per campaign, a billing event per ad group, and a bid strategy: maximize clicks, maximize impressions, or a target CPC with a maximum bid. KIME reports the resulting spend, CTR, average CPC and average CPM in your OpenAI Ads account currency, alongside your organic share of the answers.

Context hints are natural-language phrases that tell the model when your ad fits a conversation, rather than match-typed query strings. A keyword targets what someone typed. A context hint describes what someone is trying to do. KIME drafts context hints from the prompts it already runs against your brand and your competitors, and AWX phrases them the way your own best-performing ad groups are phrased, so the language matches how people actually ask.

Yes, Ads Explorer in KIME shows what your competitors are advertising on ChatGPT. It holds an advertiser directory ranked by how many chats feature each advertiser's sponsored ads, a gallery of their live creatives with appearance counts and last-seen dates, and ad share broken down by prompt category and by location. All of it can be scoped by category, tag, market, model and date range. AWX reads the same data to isolate the prompts where a competitor is cited and your brand is not.

In ChatGPT the unit of competition is an answer, not a results page. In paid search you bid on a keyword and appear beside ten blue links. In ChatGPT the model returns one synthesised answer, so the question is whether your brand is named in it at all, and a paid placement is how you appear when it is not. Generative engine optimization earns those mentions slowly, so paid placement covers the answers you cannot earn, or cannot earn fast enough.