How to Run ChatGPT Ads: The Complete Tutorial
By HubSpot Marketing
Key Concepts
- AEO (Answer Engine Optimization): The process of structuring content so AI models (like ChatGPT) cite your brand organically in their responses.
- Intent-Based Targeting: Advertising based on the specific context and question a user is asking, rather than traditional keyword or audience-based targeting.
- Self-Serve Ads Manager: OpenAI’s platform allowing businesses to manage campaigns, bidding, and tracking without minimum spend requirements.
- Conversion Pixel/API: Tools provided by OpenAI to track user actions on a website after clicking an ad.
- Sponsored Answer Placement: An ad format appearing directly below an AI-generated response, clearly labeled and separated from the content.
1. The Evolution of ChatGPT Advertising
The video positions ChatGPT’s ad platform as a generational opportunity comparable to the launches of Google (2003), Facebook (2010), and TikTok (2020).
- Growth Trajectory: Within six weeks of the US pilot launch, the platform reached $100 million in annualized revenue with over 600 advertisers.
- Accessibility: OpenAI has transitioned from a closed pilot to a self-serve model with no minimum spend, enabling smaller businesses to compete with major brands.
- Strategic Hiring: The recruitment of a 12-year Meta ads veteran signals that advertising is now a core business function for OpenAI.
2. How ChatGPT Ads Work
Unlike traditional platforms that prioritize the highest bidder, ChatGPT’s delivery is governed by relevance and user intent.
- Placement: Ads appear below the AI’s response, physically separated and clearly labeled.
- Exclusions: Ads are strictly prohibited in conversations regarding politics, health, mental health, and are never shown to users under 18.
- Ad Formats:
- Sponsored Answer Placement: Brand name, headline, one-line description, and link.
- Shopping Carousel: Scrollable product cards showing price, stock status, and delivery time.
- Large Image/CTA (In Testing): A more visual format with a customizable call-to-action button.
3. The Four Principles of OpenAI Advertising
OpenAI’s platform is built on four pillars that favor brands with high-quality content over those with massive budgets:
- Answer Independence: Payments do not influence organic AI answers.
- Conversation Privacy: Advertisers cannot access chat history or user data; OpenAI handles all targeting based on intent patterns.
- Choice and Control: Users can hide ads or opt for ad-free experiences, forcing brands to prioritize relevance to avoid being dismissed.
- Long-Term Value: Ads are served sparingly (fewer than 20% of users see an ad on any given day), meaning smaller budgets can achieve significant reach.
4. Step-by-Step Implementation Framework
To succeed, brands must integrate organic AEO with paid strategy:
- Step 1: Audit AEO Baseline: Use the HubSpot AEO grader to assess brand visibility across five dimensions: Brand Recognition, Market Position, Presence Quality, Brand Sentiment, and Share of Voice.
- Step 2: Optimize Product Feeds: For e-commerce, ensure Shopify/Etsy feeds are accurate, as the Shopping Carousel pulls data directly from these sources.
- Step 3: Account Setup: Register at
ads.openai.com, verify the business, and install the OpenAI conversion pixel and API for tracking. - Step 4: Intent-Based Copywriting: Headlines are limited to 16 characters and descriptions to 32. Copy must be highly specific and useful, acting as a "recommendation" rather than a "pitch."
- Step 5: Testing: Start with Cost-Per-Click (CPC) bidding to establish benchmarks. Run tests for 2–3 weeks before scaling.
5. Key Arguments and Evidence
- The "Organic First" Rule: You cannot buy your way into an organic citation. Brands must earn the organic spot first; when a brand appears both organically and as a sponsored placement, they own the entire screen real estate.
- Conversion Shift: AI-driven traffic now converts 42% better than non-AI traffic, a massive reversal from the previous year where it performed 38% worse.
- Data Advantage: Because third-party measurement is still evolving, early adopters gain a "data advantage" by learning the platform's nuances before the market becomes saturated.
6. Synthesis and Conclusion
The core takeaway is that ChatGPT advertising is not a "pay-to-play" environment but a "relevance-to-play" environment. Success requires a dual-track approach: Answer Engine Optimization (AEO) to build organic authority and Intent-Based Advertising to capture users mid-thought. Brands that focus on being useful and relevant—rather than simply outspending competitors—will secure a long-term competitive advantage in the AI-search landscape.
Chat with this Video
AI-PoweredLoad the transcript when you're ready to chat so the initial page stays lighter.
Related Videos

How to Make AEO/GEO Profitable: Lessons From 100 Campaigns
Neil Patel

Marketing, Rewritten: Life After the First AI Holiday Campaigns
Forbes

AI Ads & Audience Trust: The Coca-Cola Test Case
Forbes

AI, Ads, and Outrage: Coca-Cola’s Holiday Backlash
Forbes

6 AEO Trends To Get Your Brand Recommended By AI (2026 HubSpot Report)
HubSpot Marketing

Going Viral Didn't Save Our Restaurant: Can My 18-Year-Old Manager Do It? | On The Red Dot
CNA Insider

This might be a bad idea but I'm doing it anyway
Latasha James