How to advertise on ChatGPT in 2026 (complete guide)

To advertise on ChatGPT, brands apply through OpenAI's official ad program, then bid against other advertisers in their category to have a labeled placement surface inside the assistant's response when a user asks a commercial question. Right now we track 7,181 ads from 2,210 advertisers across 58 product categories, totaling 73,720 placements. This guide covers what the format looks like in practice, what those placements reveal about who's winning, and the five-step playbook for getting your own campaign live today.

What ChatGPT advertising actually is

ChatGPT ads are not banner units, popups, or pre-roll video. They appear inline inside the assistant's response when a user asks a question with commercial intent, often framed as suggested tools, services, or vendors relevant to the prompt. The placement is clearly labeled, and the creative typically combines a short headline, a one-line value prop, and a destination link. The format favors brands that can explain themselves in a single sentence, because the conversation, not a creative canvas, is the unit of attention. If you are new to paid placement on AI assistants, the easiest mental model is "sponsored recommendation appended to an answer." The user's prompt is the targeting signal, the assistant's response is the canvas, and your brand competes to be one of the named recommendations inside it.

Where the spend actually is

The 58 categories we track are not evenly weighted. Enterprise & Fintech leads with 2,562 ads from 895 advertisers, followed by SaaS & Productivity at 2,126 ads from 786 advertisers. After that the curve flattens: Real Estate at 1,288 ads, Email Marketing & CRM at 1,260, Crypto & Investing at 1,245, and Cloud & DevOps at 1,239. The shape tells a story. Long-tail B2B categories where a single AI chat answer can map cleanly to a vendor comparison absorb a disproportionate share of the early spend. Consumer-heavy verticals like Beauty & Skincare, Fashion & Apparel, and Pet Care are present but small, suggesting the format is still maturing beyond software and services.

Who's already winning the rankings

Mastercard tops our leaderboard with 3,490 appearances, ahead of Cloudflare at 2,633 and Monday.com at 2,368. Salesforce follows at 1,757, with BestMoney close behind at 1,648 and Capterra at 1,644. The list is dominated by software, fintech, infrastructure, and comparison brands, the same company types that have already invested heavily in being parsable by an AI assistant. If your company does not look like anything on this list, that is useful information: it means you are competing in a less crowded category, but it also means the playbook is yours to write.

What context your ad will live in

Your ad is triggered by what the user types, which sounds obvious, but in practice it means the unit of targeting is a natural-language question, not a keyword string. Here are six real prompts that triggered sponsored responses in our tracking. Each one is the literal text a person typed into ChatGPT, and the ads that followed were the assistant's chosen paid recommendations.

Step 1: Confirm your category is a fit

Look at the categories above and find where your product lives. If the leaderboard in that category is dominated by well-funded incumbents with thousands of appearances, plan for a longer ramp and a higher baseline spend. If the leaderboard is sparse, you may be early to a category where share of voice can still be bought cheaply. Either way, the data tells you how competitive the auction is before you write a single line of ad copy. You can also browse the full directory of every advertiser we track to see exactly who is buying in your space right now.

Step 2: Map the prompts a buyer would actually ask

The targeting signal is a conversational question, not a keyword. Sit down with sales, customer success, and support, and write down the 30 to 50 natural-language questions a prospect would type in the week before they buy from you. These become your target prompt universe. The strongest prompts are specific ("top tool for reducing AKS costs"), category-bridging ("AI platforms for financial services customer analytics"), and solution-seeking rather than problem-naming. You can validate which of these are already monetized by searching our live ad library for prompts in your category and seeing which competitors keep showing up.

Step 3: Write ad copy that survives a one-line format

Format constraint shapes copy. You have a short headline, a one-line value prop, and a destination link, and the user is reading your message immediately after a thoughtful AI answer, not in the middle of a content break. Copy that wins is concrete, comparative, and category-native. A line like "AI-native CRM for outbound at 2x volume" beats "The platform that delivers seamless pipeline visibility" every time, because the reader can repeat the first sentence out loud and cannot repeat the second. If your team cannot explain the product in a sentence a sales rep would actually say on a phone call, you are not ready to run ChatGPT ads yet.

Step 4: Get your landing page ready for AI-referred traffic

Traffic from ChatGPT lands cold. The visitor arrived via a question, not a search-results scan, so your landing page has to resolve the same question in the same register, then route the visitor to the next step. Pages that read like a brochure lose. Pages that pick up the prompt and resolve it cleanly, with comparable pricing, a single primary CTA above the fold, no auto-playing video, hold attention. Tag ChatGPT-referred sessions as a distinct channel in your analytics from day one, so you can measure conversion rate, time on page, and assisted pipeline separately from Google or paid social.

Step 5: Apply through the official channel and benchmark against competitors

OpenAI runs the buyer-side onboarding through its own advertising program. Once your campaign is live, do not fly blind. Track your own appearances against the competitor leaderboards in your category on a weekly cadence, and watch the live ad library for new entrants. The fastest way to lose share is to assume your ad is running because you paid for it to be. The fastest way to win is to assume someone is bidding against you, because they are.

The fastest way to win ChatGPT advertising is to assume someone is already bidding against you, and to know exactly which prompts they are bidding on.

How we capture this data