Emerging channel · ChatGPT · Copilot · Perplexity · Google AI
More buying journeys start with a question to an AI assistant. Ad placements inside AI answers are arriving — OpenAI began testing ads in ChatGPT in 2026, and Google, Microsoft and Perplexity have their own approaches. We’ll help you understand the channel, prepare your business and test responsibly as it matures.
The landscape
Each platform is taking a different approach to blending ads with AI-generated answers. Here’s the high-level picture.
OpenAI began testing ads in ChatGPT in 2026. Its stated principles include keeping ads clearly labeled and separate from answers and not letting advertisers influence the answers themselves. Access, formats and targeting are early and evolving.
Google has been extending Search, Shopping and Performance Max ads into placements within and around its AI-generated results. Eligibility generally flows from existing Google Ads campaigns rather than a separate buying process.
Microsoft Advertising serves ads within Copilot experiences, building on its existing search ads network. Advertisers running Microsoft Search campaigns may already be eligible for some placements.
Perplexity has experimented with ad formats such as sponsored follow-up questions alongside answers. Its approach and availability have shifted over time, so treat it as an experimental placement.
Why it matters
The shift
When someone asks an assistant “What’s the best CRM for a five-person real estate team?” or “Which dentist near me does same-day crowns?”, they often get a short, synthesized answer — not a page of options. That compresses research, raises the stakes of being mentioned and creates new, highly contextual ad opportunities.
Two levers
We teach AI search as two complementary levers. Paid: testing ad placements as they become available to you, using existing Google and Microsoft campaigns as the on-ramp. Organic: answer-engine optimization (AEO), also called generative engine optimization (GEO) — making your business easy for AI systems to understand, trust and cite.
What you’ll learn
Use AI tools to generate the conversational questions your buyers ask at each stage, then check how assistants currently answer them — and whether you, competitors or nobody appears.
Clear service and product pages, structured data, accurate business profiles, consistent details across the web, crawlable content and a product feed (for ecommerce) that AI systems can parse.
Comparison pages, specific FAQs, original data, transparent pricing information and expert explanations — the kind of content AI answers draw from and link to.
Reviews, reputable directory listings, mentions in industry publications and community discussions that shape how AI systems describe your brand.
Prepare Google and Microsoft campaigns that may qualify for AI placements, apply for early-access programs where appropriate and set up clean measurement before you scale.
Track AI-referred traffic, branded search lift, assisted conversions and periodic AI answer audits — with realistic expectations for an evolving channel.
Creative & messaging principles
Ads that appear next to an answer should extend it — a relevant next step, tool or offer — rather than interrupt with a generic pitch.
Conversational queries are detailed. Landing pages and messaging should speak to specific use cases, not broad categories.
Assistants and their users are sensitive to misleading claims. Accuracy, transparent pricing and clear proof matter more than ever.
Clean product data, structured information and high-quality images let platforms assemble relevant ads automatically.
Metrics to watch
| Signal | How to track it | Caveat |
|---|---|---|
| AI-referred sessions | GA4 referral sources and custom channel groups for AI assistants | Some AI traffic arrives without referrer data |
| Ad placement performance | Platform reporting, where it separates AI placements | Reporting granularity varies and is changing |
| Share of AI answers | Periodic manual or tool-assisted audits of key prompts | Answers vary by user, location and phrasing |
| Branded search lift | Search Console and branded campaign trends | Correlation, not proof of causation |
| Self-reported attribution | “How did you hear about us?” with an AI assistant option | Relies on customer memory |
| Downstream conversions | CRM and offline conversion imports | Longer paths may need extended windows |
Common mistakes
Where it’s covered
The AI search landscape, paid placements, AEO/GEO and measurement — updated as platforms evolve.
View curriculumThe Search and Performance Max skills that are often the on-ramp to AI placements.
Google Ads trainingPrompt workflows to map conversational demand and audit AI answers for your category.
Resource libraryAI visibility matters for every business type — especially local services, ecommerce and agencies advising clients.
FAQ
OpenAI started testing ads in ChatGPT in 2026, and access has been limited and evolving. Check OpenAI’s official announcements for current availability. We cover how to prepare so you can move quickly as access widens.
OpenAI has said ads are kept separate from answers and do not influence them. Other platforms publish their own policies. Organic recommendations depend on what the AI understands about your business from across the web.
Answer-engine optimization (AEO) and generative engine optimization (GEO) are names for making your business and content easy for AI systems to find, understand, trust and cite. It builds on good SEO fundamentals with extra emphasis on clarity, specificity and third-party validation.
Run regular audits of the questions your buyers ask across major assistants, track AI referral traffic in analytics and ask customers how they found you. We provide audit templates in the program.
Not yet for most businesses. We recommend a small, deliberate testing budget for new AI placements while keeping proven channels as the core of your plan.
Yes. AI search lessons are part of the core curriculum in every plan, and they’re updated as the channel evolves. See pricing.
Next cohort starts January 12, 2027
Learn how AI search ads and answer-engine optimization work — and build a plan to show up where customers are asking.