Advertise in ChatGPT.

Wait. WHAT?

For years, we’ve been talking about how AI is changing search, how consumers are moving from Google searches to conversational discovery, and how brands need to think beyond traditional SEO.

Now we’ve entered the next phase.

ChatGPT is officially an advertising platform.

And this isn’t a tiny test hiding in a corner of the internet. On August 31, 2026, OpenAI announced that ChatGPT Ads had already reached a $1 billion annualized revenue run rate in less than 200 days, with tens of thousands of advertisers using the platform. ChatGPT Ads are now available in more than 40 countries, with self-service access continuing to expand globally.

For advertisers, this is huge.

But as someone who works in advertising AND uses ChatGPT constantly, my first thought wasn’t actually about CPCs, targeting or campaign strategy.

It was:

Does advertising change the answer?

And maybe more importantly:

Will people still trust ChatGPT if businesses can pay to show up inside it?

First: Where Do the Ads Actually Appear?

This distinction matters.

According to OpenAI, ads appear below ChatGPT’s response, clearly labeled as sponsored content and visually separated from the answer itself.

In other words, if you ask:

“What are the best running shoes for someone training for their first 5K?”

ChatGPT might give you its normal response explaining what to look for and suggesting options.

Then, below that answer, you could see a sponsored ad from a running shoe company.

That advertiser did not pay ChatGPT to become recommendation #1.

OpenAI says advertisers cannot pay to influence, alter, rank or shape the response ChatGPT gives you. The advertising system and the system generating ChatGPT’s answers are separate.

That may sound like a technical distinction, but it is probably the single most important rule OpenAI has put around advertising.

Because otherwise ChatGPT becomes a very different product.

Can Advertisers Pay ChatGPT to Recommend Them?

Currently, no.

OpenAI is explicit about what it calls “answer independence.”

Advertisers cannot pay to change the answer.

They cannot bid their way into ChatGPT’s recommendations.

They cannot tell ChatGPT to rank their product above a competitor.

And an advertisement appearing underneath an answer does not mean ChatGPT or OpenAI is endorsing that company.

Think about the difference between Google’s organic search results and its sponsored search results.

There is an organic information layer.

Then there is an advertising layer.

ChatGPT is attempting to create a similar separation, except the advertising opportunity is based on a conversation rather than a search results page.

And THAT is where things get really interesting for marketers.

ChatGPT Ads Aren’t Really Keyword Advertising

Traditional search advertising starts with keywords.

Someone searches:

“best running shoes for beginners.”

Advertisers bid around those words.

ChatGPT has much richer information about intent.

Someone might instead say:

“I just signed up for my first 5K. I’ve never really been a runner, my knees bother me sometimes, and I’m probably going to train mostly outside. What shoes should I look at?”

That single conversation tells an advertising platform far more than a three-word Google search ever could.

OpenAI says its advertising system looks at things including the context and intent of the current conversation, the advertiser’s landing page, ad copy, creative and advertiser-provided context hints.

Context hints are especially interesting.

Instead of simply telling the platform:

Keyword: running shoes

an advertiser could describe the situations where its product is relevant:

“Cushioned everyday running shoes for beginners training for their first 5K.”

OpenAI says these aren’t exact-match keywords. They are signals that help the system understand the types of conversations, needs and situations where an advertisement could be useful.

This feels much closer to intent targeting than traditional keyword targeting.

And I think we’re going to hear A LOT more about that.

Okay, But Is ChatGPT Reading My Conversations to Serve Me Ads?

This is where things get a little more nuanced.

The ad system can use the context of your current conversation to determine whether an advertisement is relevant.

When personalized advertising is enabled, OpenAI says additional signals may also be used, including past chats, memory and previous interactions with ads.

That sentence is probably going to make some people uncomfortable.

But there is another important distinction:

That information stays within ChatGPT.

OpenAI says advertisers do not receive your conversations, chat history, memories, name, email, precise location or personal details.

Advertisers receive aggregated advertising performance information such as impressions, clicks and conversions. OpenAI also states that it does not sell user data to advertisers.

Users can also turn personalized advertising off and delete their advertising data.

Even with personalization disabled, however, the current conversation may still be used to determine whether an ad is relevant.

So essentially:

ChatGPT can understand what you’re talking about to select an ad. The advertiser doesn’t get to read what you said.

That difference needs to remain crystal clear if OpenAI wants users to continue trusting the platform.

So… Does Advertising Make Me Trust ChatGPT Less?

This is the million-dollar question.

Or apparently the billion-dollar question now.

From a technical standpoint, the answer is not necessarily.

If the advertising system truly remains separated from the answer system, a sponsored placement doesn’t automatically make the information ChatGPT provides less objective.

But perception matters.

Imagine asking ChatGPT:

“Which CRM should I use for my small business?”

ChatGPT gives you an answer.

Immediately underneath it is an advertisement from one of the CRMs you were just discussing.

Even if the answer and advertisement were generated completely independently, some users are naturally going to wonder:

“Did you recommend that because they paid you?”

That is the trust problem OpenAI now has to manage.

And I think the greatest risk isn’t necessarily the advertising product that exists today.

It is maintaining that wall long-term.

The moment advertisers can purchase influence over the actual answer, the value proposition changes dramatically.

For now, OpenAI seems very aware of that risk. Its advertising principles repeatedly emphasize that ads must remain clearly labeled, separate from answers and unable to influence ChatGPT’s responses.

OpenAI also restricts advertising around sensitive conversations where an ad could feel particularly invasive or inappropriate.

Those guardrails matter.

A lot.

What ChatGPT Ads Look Like for Advertisers

Now for the part that made my marketing brain immediately start buzzing.

ChatGPT Ads Manager is becoming a surprisingly familiar advertising platform.

Advertisers can currently build campaigns around objectives including reach, clicks and conversion-focused outcomes. Depending on the objective, campaigns can be purchased using CPM or CPC bidding.

Advertisers can:

• Set budgets and campaign dates
• Target geographic areas
• Target iOS, Android or web
• Create multiple ad groups
• Add conversational context hints
• Upload creative and landing pages
• Track impressions, clicks, CTR, CPC, CPM and conversions
• Add UTM tracking
• Build custom audiences from customer or prospect lists
• Optimize campaigns based on conversion data

OpenAI is even using a relevance-weighted second-price auction, meaning the highest bidder doesn’t automatically win every impression. Relevance is also part of determining which eligible ad gets shown.

That last part is significant.

It suggests that good ChatGPT advertising may depend much more heavily on understanding the problem your customer is trying to solve, not simply having the largest advertising budget.

And Yes, There’s Currently an Ad Credit

OpenAI is clearly trying to get businesses into Ads Manager and testing the platform.

As of August 31, 2026, OpenAI is advertising a promotion for new ChatGPT advertisers:

Spend $500 and receive $500 in ad credit.

Ad credits are subject to eligibility and the specific promotional offer. OpenAI’s general ad-credit terms state that credits normally expire 90 days after issuance unless the offer specifies otherwise.

For advertisers curious about the platform, that makes the barrier to testing it considerably lower.

And yes, I am extremely tempted.

For reference, OpenAI currently lists a $25 daily minimum campaign spend in the United States, and its advertiser documentation recommends starting CPC bids around $3 to $5 per click for click campaigns.

Of course, those benchmarks are brand new and will almost certainly evolve as more advertisers enter the auction.

This Could Be the Beginning of a Completely New Advertising Channel

Google Ads captures someone when they search.

Meta captures someone based largely on interests, behavior, demographics and algorithmic prediction.

ChatGPT advertising potentially captures someone while they are explaining exactly what they need.

That’s a fascinating advertising environment.

Someone isn’t just searching for:

“CRM software.”

They’re explaining:

“I run a five-person company, we’re currently using spreadsheets, I need something easy enough that my sales team will actually use it, and I don’t want to spend $1,000 a month.”

That is extraordinary context.

For marketers, this means messaging may need to evolve from:

What keywords are people searching?

to:

What conversations are people having before they buy?

That is a much bigger shift than simply adding another advertising platform to the media plan.

My Biggest Takeaway

I’m not immediately worried that advertising makes ChatGPT’s answers inherently less trustworthy.

I am going to be watching very closely to make sure the line between advertising and answers stays exactly where OpenAI says it is today.

Because trust is the entire product.

If people begin believing the answer itself is for sale, the usefulness of ChatGPT changes overnight.

But from an advertising perspective?

This is one of the most interesting new channels we’ve seen in years.

We spent the last decade learning how to advertise against searches, demographics, interests and online behavior.

Now we may be entering the era of advertising against intent expressed through conversation.

And that could change a lot more than where we spend our ad budgets.

It could change how businesses think about discovery altogether.

This does not mean search is disappearing. It means search is expanding.

For businesses, the future of search is less about winning one ranking and more about creating a consistent, credible presence across the places where customers discover, research, compare, and choose.

Search is becoming a conversation

Traditional keyword searches are often short: “best CRM,” “roof repair Phoenix,” or “marketing agency near me.” AI-powered search encourages people to add context, ask follow-up questions, and refine what they want without beginning again.

A customer might ask for a recommendation, narrow it by price or location, request a comparison, and then ask what questions to bring to a consultation. Search becomes a continuing conversation rather than a series of disconnected queries.

This favors businesses that publish content with enough depth to answer the next question, not only the first one. A page that lists a service may earn attention. A page that explains who the service is for, how the process works, what affects cost, and how to evaluate options can support an entire decision.

Discovery is happening in more places

Google remains enormously important, but it is not the only place people search. Depending on the audience and decision, discovery may begin in an AI assistant, a social platform, a map listing, a video result, a marketplace, an online community, or a review site.

The strongest channel can change by question. A customer may use Instagram or TikTok for visual inspiration, Google Maps for proximity and reviews, YouTube for a demonstration, ChatGPT for an initial comparison, and a company’s website for proof and contact information.

This makes channel consistency more important. If each platform describes the business differently, customers receive a fragmented story. If the messaging, expertise, and essential facts reinforce one another, every touchpoint becomes more useful.

The click is no longer the only sign of visibility

Search platforms increasingly answer questions directly. An AI Overview may summarize a topic. A map result may display hours, reviews, photos, and directions. A social post may provide enough information to shape a preference without generating an immediate website session.

That creates a measurement challenge. Website traffic still matters, especially when the site is where conversions occur, but traffic alone cannot describe the full value of search visibility.

Businesses should also watch for changes in:

• Branded searches and direct traffic
• Qualified leads and assisted conversions
• Local actions such as calls, directions, and profile engagement
• Mentions, citations, reviews, and referral traffic
• Engagement with educational content across channels
• The quality of inquiries, not only the number of visits

A lower number of clicks is not automatically a lower level of influence. The more useful question is whether visibility is contributing to awareness, trust, and action.

SEO is evolving, not becoming obsolete

Predictions about the death of SEO have appeared throughout the history of search. AI is a substantial change, but the need to make information discoverable, understandable, and trustworthy remains.

Google states that established SEO practices continue to apply to AI Overviews and AI Mode. There is no special markup that guarantees inclusion. Pages still need sound technical foundations, helpful content, clear internal links, and information that satisfies the person behind the search.

The future of SEO will likely place even more emphasis on:

• Topical depth instead of isolated keyword pages
• Firsthand experience and original information
• Clear entities, relationships, services, people, and locations
• Strong brand signals and third-party validation
• Content designed around decisions and questions
• Technical accessibility across formats and devices

Keywords will still matter because words reveal intent. They simply will not be the entire strategy.

Search and advertising will work more closely together

Organic visibility can build long-term authority, while paid advertising can create immediate reach and place a business in front of carefully selected audiences. As organic search journeys become more complex, the relationship between the two becomes more valuable.

Search data can reveal questions worth answering through content. Paid campaigns can test messages, audiences, and offers more quickly. Retargeting can reconnect with people who researched without taking action. Strong educational pages can give advertising traffic a better place to land.

The future is not SEO versus advertising. It is a connected system in which content, search, advertising, social media, and analytics share information and support the same business goals.

What businesses should do next

Answer real customer questions

Listen to sales calls, emails, reviews, support requests, and search data. The best content opportunities often come directly from the questions customers repeat.

Build connected topic clusters

Create a useful primary page, then support it with articles that explain related decisions, challenges, comparisons, and trends. Link those resources together so visitors and search systems can understand the relationship.

Strengthen the brand behind the content

Show who created the information and why they are qualified to discuss it. Publish case studies, original observations, leadership perspectives, and details that could only come from real experience.

Keep local and business information accurate

Names, locations, services, hours, contact details, and company descriptions should remain consistent across the website and important third-party platforms.

Measure business outcomes

Rankings and traffic are useful indicators, not final objectives. Track calls, forms, qualified leads, revenue signals, and the actions that matter to the business.

The future belongs to brands that are easy to understand

Search will continue to change. Interfaces will evolve, AI platforms will add new capabilities, and measurement will improve. Businesses do not need to predict every feature to prepare effectively.

They need to communicate clearly, publish information worth finding, demonstrate why they are credible, and show up consistently wherever their customers search.

The future of search is not about tricking a new algorithm. It is about becoming a better and more complete answer.

That question is driving growing interest in generative engine optimization, commonly shortened to GEO. The name may sound like another piece of marketing jargon, but the underlying shift is real. People are no longer searching only through a list of traditional results. They are asking complete questions inside Google AI Overviews and AI Mode, ChatGPT, Microsoft Copilot, Gemini, and other tools that can summarize information and suggest possible next steps.

GEO is the practice of making a business and its online information easier for those systems to find, interpret, trust, and use when forming an answer.

What is generative engine optimization?

Generative engine optimization is the process of improving digital content so it has a better chance of being discovered and referenced by AI-powered search and answer platforms. Instead of focusing only on a ranking position for a short keyword, GEO also considers whether a brand is clearly represented when someone asks a detailed, conversational question.

For example, a traditional search might be “Phoenix digital marketing agency.” An AI-assisted search could be much more specific: “Which Phoenix marketing agency works with small and mid-sized businesses, handles advertising and SEO, and explains analytics without locking clients into a templated package?”

The second query carries more context. To answer it well, an AI system needs clear information about services, location, audience, experience, and differentiators. A homepage filled with broad claims such as “innovative solutions” and “unmatched results” gives the system, and the customer, very little to work with.

GEO and SEO are partners, not replacements

One of the biggest misconceptions about GEO is that it replaces search engine optimization. It does not.

Google’s current guidance says the foundational practices that support traditional search remain relevant to its AI features. A page still needs to be crawlable, technically accessible, useful, well organized, and connected to the rest of the site. Microsoft likewise emphasizes intent-driven content for generative search and now offers reporting that helps publishers see when their pages are cited in AI-generated experiences.

In practical terms, strong GEO usually begins with strong SEO. The difference is that GEO encourages businesses to think beyond a single keyword or ranking position.

• SEO helps search engines discover, understand, and rank a page.
• GEO helps AI-powered systems extract useful information and connect it to a more complex question.
• Both depend on clear content, technical accessibility, authority, relevance, and a strong understanding of search intent.

A business does not need two completely separate content strategies. It needs one high-quality search strategy that accounts for the ways people find information now.

What makes content easier for AI search to use?

Clear, specific answers

AI systems cannot confidently interpret what a business means when every statement is vague. Clearly describe what you offer, who you help, where you work, and what makes your approach different. When a page raises an obvious question, answer it directly.

Original experience and expertise

Generic content is easy to reproduce and difficult to distinguish. Firsthand observations, real examples, original data, case studies, defined processes, and expert commentary give a page substance that a rewritten summary cannot.

Logical structure

Descriptive headings, focused sections, useful lists, and concise explanations make information easier for both people and machines to navigate. The goal is not to write for a robot. The goal is to remove unnecessary ambiguity.

Consistent information across the web

Your website, social profiles, business listings, leadership biographies, service descriptions, and third-party mentions should tell a consistent story. Conflicting descriptions make it harder to determine what the business actually does.

Credibility and corroboration

A company describing itself as an expert is a claim. Relevant coverage, testimonials, reviews, citations, partnerships, professional credentials, and other reputable references help support that claim.

Does every business need GEO right now?

Every business does not need to chase every new acronym. However, nearly every business should pay attention to how AI is changing discovery.

GEO is especially relevant when customers conduct research, compare providers, ask location-based questions, evaluate complex services, or need education before contacting a company. Professional services, healthcare, real estate, recruiting, technology, hospitality, and other considered purchases are strong examples because the path to a decision often begins with several questions, not one keyword.

That does not mean a business should abandon proven marketing channels or rebuild its entire website around AI. It means the content being created today should be specific, trustworthy, and useful enough to perform in both traditional and AI-assisted search.

What businesses can do now

• Review core service pages for vague claims and missing answers.
• Build content around the complete questions customers actually ask.
• Add firsthand expertise, examples, processes, and original insight.
• Keep company descriptions, services, locations, and leadership information consistent.
• Strengthen internal links so related topics form a clear body of expertise.
• Use accurate structured data where it genuinely describes the page.
• Track more than rankings, including branded searches, referral traffic, conversions, and AI citations where reporting is available.

Most importantly, resist the urge to publish dozens of thin, AI-generated pages simply because the topic is moving quickly. Google warns that producing content at scale without adding value can violate its spam policies. More content is not automatically more visibility.

The real goal is to become the clearest answer

Generative engine optimization is still evolving, and no agency or platform can guarantee that a particular AI system will recommend a business. The systems, interfaces, source selection, and reporting will continue to change.

What is unlikely to change is the value of being understandable, credible, and genuinely useful.

Businesses that clearly explain what they do, demonstrate real expertise, and answer the questions their customers care about are building a stronger foundation for traditional search, AI-powered discovery, and the next version of search that has not arrived yet.

Sources and further reading

• Google Search Central, Optimizing for Generative AI: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
• Google Search Central, AI Features and Your Website: https://developers.google.com/search/docs/appearance/ai-features
• Google Search Central, Guidance on Generative AI Content: https://developers.google.com/search/docs/fundamentals/using-gen-ai-content
• Microsoft Bing Webmaster Blog, Intent-Driven SEO: https://blogs.bing.com/webmaster/November-2024/The-Value-of-Intent
• Microsoft Bing Webmaster Blog, AI Performance Reporting: https://blogs.bing.com/webmaster/February-2026/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview