How to Advertise on ChatGPT in 2026: The Honest Guide

In late May 2026, the picture has shifted fast. The buying mechanics are still enterprise-only — $200K direct-sales minimums, no self-serve dashboard, no public waitlist — but the active advertiser pool just expanded by roughly an order of magnitude. cloro’s 2026-05-26 measurement saw the buyer pool widen sharply from the narrow 16-brand set in our April-May study. Whatever combination of expanded approval, lowered category minimums, and programmatic onramps (StackAdapt, Adthena) opened the door, more brands are getting through.

OpenAI launched paid ads on February 9, 2026 through direct enterprise sales. The launch minimum was $200,000; some categories have since seen the minimum cut to $50,000. First-wave advertisers included Target, Ford, Adobe, Mrs. Meyer’s, Expedia, Best Buy, and Enterprise. By late May the mix had widened dramatically into consumer commerce (e.l.f. Cosmetics, Pottery Barn, IKEA, Home Depot, Ralph Lauren, Macy’s), affiliate aggregators (Top10.com, BestMoney, Insurify, Capterra), and mid-market SaaS (Cursor, Jotform, Monday.com, Datarails, Tapistro). For context, our penetration study found ads in 26.5% of responses overall and 49.1% within the US on 2026-05-26.

This post covers how to actually buy a placement today, what bid ranges look like, and what to do if you don’t have the budget. The rollout context is in our ChatGPT ads status post; the on-platform penetration rate is in the penetration study.

Table of contents

• The honest answer: who can advertise on ChatGPT today
• How ChatGPT ads are sold right now
• Pricing: minimums, CPM, and CPC bid ranges
• Ad format and creative requirements
• What targeting OpenAI actually offers
• If you can’t buy placements yet: the wait-list playbook
• What self-serve will probably look like

Who can actually advertise on ChatGPT today

The current advertiser pool sits at the intersection of four conditions:

1. A real budget commitment. Originally a $200,000 minimum, now reportedly cut to $50,000 for some categories as OpenAI works to widen the buyer pool. Most placements we see in the wild are from advertisers spending well above either floor.
2. A direct relationship with OpenAI’s enterprise sales team. No self-serve sign-up exists. You contact OpenAI through business channels and negotiate.
3. Category fit. OpenAI is now actively recruiting across consumer commerce, mid-market SaaS, affiliate aggregators, and the original B2B SaaS / enterprise software / finance categories. Less interest in commoditized gambling, supplements, or low-margin verticals. The first-wave brand mix (Target, Ford, Adobe, Expedia, Best Buy, Enterprise, Mrs. Meyer’s) signals the original profile; the late-May expansion (e.l.f., Pottery Barn, Cursor, Jotform, Top10.com, BestMoney, plus 300+ others) signals where the buyer pool is heading.
4. Often: an existing OpenAI API or enterprise contract. Not strictly required, but it shortens the conversation. The ads team uses API spend as a signal of advertiser fit.

The buyer pool is widening, but the entry friction is still high. Direct sales remains the primary path. The programmatic onramp opened in May: StackAdapt joined the ChatGPT ad pilot as the first DSP with access to inventory, and Adthena’s ChatGPT Ads Intelligence Platform launched 2026-05-11. Both are early signals that programmatic and competitive-intelligence layers are forming around the surface — but for most advertisers in May 2026 it’s still direct sales or nothing.

Who that still excludes: most SMBs without enterprise-scale ad budget, and the agency-led half of the ad-buying world. The category list has clearly widened from the original B2B-SaaS focus into consumer and mid-market commerce, though, so if you were dismissed earlier on category fit, it’s worth re-checking.

How ChatGPT ads are sold today

The sales process as of May 2026:

1. Initial contact. Reach OpenAI’s enterprise team through openai.com/business. Existing API customers with enterprise contracts can route through their account team.
2. Qualification call. Sales validates budget, category fit, and brand suitability. This is where the $200K minimum gets confirmed and category bid ranges are shared. API customers move faster.
3. Creative brief. You provide brand name, favicon, a ~30-character headline, ~100-120 character body, and a destination URL. OpenAI reviews against its published ad policies, which exclude political ads, regulated verticals like gambling and certain financial products, and any creative that degrades the conversation. The policy also defines “sensitive user contexts” (mental health, vulnerability, emotional distress) where ads are blocked entirely regardless of bid. OpenAI’s framing is built around four principles: answer independence, conversation privacy, choice and control, and exclusion from sensitive contexts.
4. Campaign setup. OpenAI configures the campaign on internal tooling. Targeting (category, query keywords, country) gets configured on their side based on your brief. You don’t get a dashboard.
5. Reporting. Performance reports come through your account team weekly or biweekly. No real-time dashboard, no live spend tracking, no programmatic metrics API.

This is the manual enterprise-sale model, not the self-serve auction model digital marketers are used to. It works because the buyer count is small. It will break when OpenAI tries to scale past a few thousand active advertisers, and that’s when the self-serve dashboard ships.

Pricing: minimums, CPM, and CPC bid ranges

The pricing has moved fast through the rollout. Here’s where it sits today.

Dimension	February 2026 launch	May 2026
Pricing model	CPM (fixed)	CPC (auction)
Headline rate	$60 CPM	Effective $25 CPM
Advertiser minimum	$200,000	$200,000
Software / finance bids	—	$8 – $18 CPC
Ecommerce / retail bids	—	$3 – $5 CPC
General categories	—	$3 – $5 CPC

Source: The Next Web and ALM Corp.

The flip from CPM to CPC inside the first 90 days matters. It says two things at once: demand at $60 CPM wasn’t deep enough to clear inventory at full price, so OpenAI let the auction find the real rate; and CPC moves risk off the advertiser, since you only pay on clicks. Advertisers with weak creative pay less than they would on CPM, and advertisers with strong creative pay roughly the same rate while getting more impressions.

For budget planning, the category bid ranges are the useful number. A B2B SaaS bidding $12 CPC against a category competitor will burn through $200K much faster than an ecommerce brand bidding $4 on long-tail product queries. Rough monthly spend = target weekly clicks × category mid-range bid.

The $200K minimum is what disqualifies most accounts. At $12 software CPC, $200K buys ~17,000 clicks. That covers a category-defense campaign or a quarter of brand-awareness work, not ongoing performance marketing at scale. Most advertisers we see in cloro’s data are spending well above the minimum.

Ad format and creative requirements

ChatGPT ads render as a Sponsored card under the response sources. The format is uniform: no choice of ad unit size, no choice of placement within the response. You provide the creative, OpenAI handles placement.

What you provide:

• Brand name as it should appear in the card
• A favicon-sized brand mark (typically pulled from your domain’s favicon)
• ~30-character headline (the one-line pitch)
• ~100-120 character body description
• Destination URL (OpenAI appends utm_source=chatgpt.com&utm_medium=src automatically)

What you don’t get: image creative in the ad card, video, carousels, or any A/B testing tooling inside OpenAI’s product. A/B has to run as separate campaigns.

The constraints are tight, which is probably good news. ChatGPT ads don’t convert through visual saturation. They convert through relevance to a conversation in progress. A user asking “what’s the best HR system for a 500-person company” is in deep-funnel intent, and a one-line pitch from Rippling lands differently than the same pitch on a banner. The format constraints reinforce that.

For the back-end mechanics, how the placement actually shows up in the response payload, see the technical monitoring guide. It walks through response.result.ads[] and the bzrcdn.openai.com creative CDN.

What targeting OpenAI actually offers

This is what most advertisers ask first and OpenAI talks about least. The picture below comes from what we can infer from placements in cloro’s monitoring corpus.

Category targeting: yes. Software advertisers target software conversations, finance targets finance. OpenAI does the category mapping based on conversation classification.

Query keyword targeting: yes, loosely. “Best X for Y” comparison queries surface ads at much higher rates than open-ended definitional queries.

Country targeting: yes. 94% of ChatGPT ads in our measurement window appeared on US-locale prompts (per the penetration study). Other countries showed isolated placements. Works as you’d expect for any geo-aware platform.

Audience or demographic targeting: not yet. No audience cohort targeting has shipped. ChatGPT obviously has the user signal to do it (conversation history, professional context inferred from prompts), but the privacy implications are real and OpenAI is moving carefully on this one.

Conversation context targeting: yes, implicitly. The placement decision uses recent conversation context, not just the current query. A user three turns into a CRM conversation surfaces CRM ads more readily than a user dropping the same single query cold.

Frequency capping per user: unclear, but probably yes at the session level. We can’t see the cap logic directly, but per-response rates stay below 1% even on high-demand queries, which suggests something is throttling.

So in practice: today’s ChatGPT ads work like classic search ads with category targeting. They don’t work like Facebook ads with audience cohorts. Plan around query intent and category fit, not demographics.

If you can’t buy placements yet

If you don’t have $200K to commit or you don’t have an OpenAI relationship to start the conversation, you’re in the same place as most of the addressable market. The next 6-12 months are useful prep time.

Get your brand into ChatGPT’s organic answers

Before paid placements matter, organic visibility matters more. ChatGPT mentions brands far more often than it links to them, so a brand can be the dominant cited source in a category and still see almost no referral traffic. Organic visibility runs through Bing indexing (ChatGPT pulls from Bing for live web retrieval), referring-domain authority, and third-party mentions on Wikipedia, Crunchbase, G2, Capterra, and trade press.

Our AI SEO guide covers the eight retrieval factors that drive AI citations. For ChatGPT specifically, the high-leverage ones are crawler access for OAI-SearchBot and ChatGPT-User, entity strength on third-party sources, and answer-first paragraphs that are easy to extract.

Monitor whether competitors are buying ChatGPT ads

If a competitor is paying for placements on queries in your category, you have a category-defense problem regardless of your own budget. Run your top 50 category queries through ChatGPT (or a monitoring tool) and check ads[] for competitor brands. The internal budget conversation gets easier when you can show the share of your high-intent queries where a competitor’s ad is the answer and your brand isn’t even mentioned.

The technical side of running that monitoring at scale lives in our monitor ChatGPT ads walkthrough; the ChatGPT Ads API is the productized version with brand, creative, and country breakdowns parsed for you.

Build the case for self-serve advertising

When the self-serve manager ships (probably in 2026), the advertisers who move first will lock in better rates and category positioning. Use the wait to:

• Define your top 100 priority queries (the category’s high-intent prompts where ChatGPT visibility matters)
• Model expected campaign cost using current CPC bid ranges, with your historical search-ads CTR as the baseline
• Document where your top 5 competitors appear in ChatGPT answers today (organic mentions, citations, paid placements)
• Get a small budget approved in advance ($25K-$50K) so you can deploy in the first 60 days of self-serve without going back through internal approvals

Brands that wait for self-serve to ship before starting this prep will be 3-6 months behind on the learning curve when bidding opens up.

Don’t wait for ChatGPT before fixing your Bing presence

ChatGPT’s organic citation pipeline runs through Bing’s index, not Google’s. If your Bing indexing is broken, your ChatGPT visibility is capped regardless of how good your Google SEO is. The simplest pre-work for ChatGPT advertising is making sure Bingbot can actually crawl your site and your priority pages are indexed in Bing.

What self-serve will probably look like

No announcement yet, but the shape is predictable. The historical comparison worth pulling: Microsoft started exploring ads in Bing Chat in March 2023, shipped a chat ads API later that year, and was running self-serve campaigns through standard Microsoft Advertising tooling within roughly 12 months. OpenAI’s pace looks similar so far, which would put a self-serve product on the 2026-2027 horizon.

Auction-based bidding by query category and keyword. Self-serve will let advertisers bid directly on category clusters and specific query patterns. The current category bid ranges ($3-5, $8-18) probably become the default suggested bids, with room to bid higher for better placement share.

A real-time dashboard with spend tracking. Every self-serve ad platform in the last 15 years has shipped this. Expect Google Ads-style daily and weekly reporting: impressions, clicks, CTR, CPC, conversion tracking via pixel or postback.

Lower minimums, eventually. The $200K minimum exists to filter the buyer pool during the controlled rollout. Self-serve will need much lower minimums (probably $1,000-$5,000 monthly) to capture the mid-market long tail OpenAI needs for revenue growth. Don’t expect $200K to drop to $500 in the first release. Expect a tiered rollout from enterprise to mid-market to SMB over 12-24 months.

Signals that self-serve is close: public OpenAI documentation referencing an “Ads API,” a beta announcement to existing API customers, or any change to the visible CPC ranges. If category bid ranges show up on an OpenAI marketing page, self-serve is weeks away.

In the meantime, the useful work for most advertisers is the measurement, monitoring, and category-positioning infrastructure that makes self-serve campaigns work on day one. That’s what the monitor ChatGPT ads guide covers.

Compliance: what the IAB and FTC expect

Beyond OpenAI’s own ad policies, two external frameworks are worth knowing as the disclosure landscape catches up.

The IAB released its AI Transparency and Disclosure Framework in January 2026, recommending consumer-facing disclosures for AI use in advertising backed by machine-readable C2PA metadata. It’s voluntary today, but the direction of travel is toward formal disclosure standards. IAB Tech Lab’s agentic advertising initiatives are extending those standards to AI agents that act on ads autonomously, which is a separate problem ChatGPT advertisers will face within the next year.

On the regulator side, FTC AI content disclosure rules apply to AI-generated ad creative regardless of platform. If you use AI tools to generate the ad copy or imagery you submit to OpenAI, you carry the disclosure burden under FTC rules even though OpenAI handles placement. Worth flagging to legal before any AI-generated creative ships.