ChatGPT Ads Explained: What AI Search Advertising Could Mean for Businesses
The industry has been buzzing with claims that AI search will be the death of traditional SEO. In reality, SEO isn’t disappearing, in simple terms it's evolving.
Large language models (such as ChatGPT and Gemini) interpret content differently to the way search engines do, prioritising context, credibility and relevance.
At FWD Motion, we focus on both search performance and optimising content for LLMs, sometimes referred to as generative engine optimisation (GEO).
The goal is to make content work in a world where AI influences how users research and find answers.
Need help navigating AI from GEO and SEO? Let’s explore the opportunities that AI search could offer your business.
The Search and Advertising Landscape is Changing
For more than two decades, online advertising has centred around search engines. A user types a query into Google, advertisers bid on relevant keywords, and sponsored results appear alongside organic listings.
This model underpins platforms like PPC Google Ads, where businesses pay to appear when people search for relevant products, services, or information. It has shaped how marketing budgets are planned, how campaigns are structured, and how performance is measured.
However, search behaviour is changing.
Increasingly, people are turning to Artificial Intelligence (AI) assistants to answer questions directly rather than browsing search results. Instead of searching “best CRM for small business”, someone might ask an AI tool (Gemini, ChatGPT, Claude, etc.):
“What’s the best CRM for a small B2B company with a small sales team?”
The response is a complete answer, rather than a list of websites.
In response, Google introduced features like AI Overviews, featured snippets, and knowledge panels, which provide information directly within the search page. AI chat interfaces take this further by delivering answers in a conversational format.
This shift from browsing results to receiving answers is often described as the move from a “search economy” to an “answer economy.” And as user behaviour evolves, advertising models will inevitably adapt too.
Why Advertising is Coming to AI Platforms
Running large-scale AI platforms requires significant computing infrastructure and ongoing investment. As these tools grow in popularity, companies must find ways to sustain and expand.
Advertising has historically been the primary revenue model for digital platforms. Search engines and social networks rely heavily on ad revenue, so it’s unsurprising that AI platforms are exploring similar approaches.
OpenAI is testing ads inside ChatGPT with a limited group of users in the United States. The goal is to explore whether advertising can support broader access to AI tools while still maintaining user trust.
Unlike traditional display ads or social media ads, these placements appear within the context of a conversation. If a user asks about a product, service, or topic, a relevant sponsored recommendation may appear alongside the response.
In theory, this creates a highly intent-driven environment. Users are actively asking questions and researching decisions, which could make AI search advertising a powerful discovery channel in the future. However, it’s still early days. The current tests are limited, and the format will likely evolve significantly before any wider rollout.
Important Information About the Current Test
OpenAI has shared several details about how the early ChatGPT ads trial are working:
Who may see ads:
- Logged-in adult users in the United States
- Users on the free ChatGPT tier
- Users on the low-cost ChatGPT Go plan
Who will not see ads:
- ChatGPT Plus, Pro, Business, Enterprise, and Education users
- Any users under the age of 18
How ads will appear:
- Ads will be shown separately from the AI’s answer
- They are clearly labelled as sponsored content
- They appear when relevant to the conversation topic
OpenAI has also stated that ads will not influence the answers ChatGPT provides, and user conversations will not be shared with advertisers. This separation is intended to maintain trust in the AI’s responses while still allowing sponsored recommendations to appear when relevant.
What We Know So Far About ChatGPT Ads
Because this feature is still in testing, the full advertising system has not yet been revealed. However, several early details give an indication of how ChatGPT ads could develop.
Conversational Discovery
Initial ad formats are expected to be relatively simple, typically linking to an external website or resource.
In the longer term, the experience could become more interactive. Users may be able to ask follow-up questions within an advert or explore a product recommendation without leaving the conversation.
This would turn advertising into something closer to an interactive research experience. If implemented well, ads could feel like part of the answer and, crucially, not a disruption to the conversation.
Premium Pricing, Limited Data
Early reports suggest that ChatGPT advertising may use an impression-based pricing model, instead of the click-based model common in search advertising. Some industry estimates suggest a potential price of around $60 per 1,000 views, which is considerably higher than many social advertising platforms.
At the same time, early reporting tools are basic. Advertisers may initially receive high-level metrics such as views and clicks, but fewer insights into the user journey after someone leaves the conversation. This would make optimisation slower compared to mature platforms like Google Ads.
Context-Based Targeting
Unlike traditional digital advertising platforms, ChatGPT is unlikely to rely heavily on long-term tracking or detailed user profiles. Rather, ads are expected to be matched primarily to the topic of the current conversation, with limited use of historical signals.
For advertisers, this could mean less granular targeting than platforms such as Google or Meta currently offer. While this supports a growing focus on privacy protections, it remains unclear whether campaigns can be planned and scaled as effectively.
Separation Between Answers and Ads
OpenAI has emphasised that advertising will remain clearly separated from ChatGPT’s responses. Advertisers cannot pay to influence the text of the AI’s answer, and sponsored placements will always be labelled.
This distinction will be important for maintaining trust. If users feel that recommendations are being manipulated by advertisers on the platform, confidence in AI responses could quickly erode.
Brand Safety and User Controls
Generative AI introduces new considerations around brand safety. Ads must avoid appearing alongside inaccurate information or sensitive conversations. OpenAI has said advertising will not appear in areas such as politics, mental health, or other regulated topics.
Users will also have control over their advertising experience, including the ability to dismiss ads or turn off personalisation. These safeguards suggest the company is taking a cautious approach as it explores this new format.
ChatGPT Ads vs Google Ads: Key Differences
Many marketers are already asking how ChatGPT ads might compare with established platforms like PPC Google Ads. The reality is that these systems serve different purposes and operate in very different environments.
Google Ads is a mature advertising ecosystem built around keywords, auctions, and extensive performance data. ChatGPT advertising is still in early experimentation and focuses on conversational intent.
Below is a simplified comparison based on what we know so far:
|
Feature |
ChatGPT Ads |
Google Ads |
|
Cost model |
Impression-based (CPM) |
Primarily cost-per-click (CPC) |
|
Minimum budget |
Unknown |
No minimum |
|
Targeting |
Session context (current conversation) |
Keywords, audiences, demographics |
|
Ad placement |
Recommendation cards (text + proof) within AI chat responses |
Search text, display banners, video, shopping, discovery |
|
Measurement |
Limited (early testing phase) |
Sophisticated (audience, attribution, and conversion tracking) |
|
Data maturity |
Early-stage advertising platform |
Mature ecosystem with 20+ years of optimisation data |
|
Best suited for |
Research, discovery, and early-stage exploration |
Capturing active searches and driving conversions |
|
Setup complexity |
Unknown (likely simpler) |
Moderate (learning curve for optimisation) |
What Businesses Should Be Thinking About Now
At the moment, ChatGPT ads are only being tested in the US, and there is no confirmed timeline for a wider rollout. For UK businesses, this means there is nothing to implement today.
However, the broader shift toward AI-driven discovery is already happening. Businesses that prepare for these changes early will be better positioned if AI search advertising becomes more widely available.
AI tools like ChatGPT rely heavily on high-quality information. Producing detailed guides, expert insights, and practical resources as part of your digital marketing strategy helps both search engines and AI systems understand your expertise.
Instead of keywords, AI search often starts with conversational queries. Collecting the questions customers ask during sales calls, support conversations and enquiries can reveal valuable topics for future content.
If AI tools recommend products or services to users through advertising, they’re likely to favour brands with clear authority and trust signals. Case studies, testimonials, and strong brand positioning all contribute to this.
In AI-driven environments, users may research, compare options, and evaluate suppliers within a single interaction. Businesses should think about how easily their product details, service information, and support resources can be accessed within these conversations.
While the advertising ecosystem is still developing, it’s worth keeping an eye on how different AI platforms approach search and discovery. Understanding how these systems surface information today can inform future marketing strategies.
Preparing for the Future of AI Search Advertising
Advertising within AI platforms like ChatGPT is still in its early stages, and the current testing in the US may evolve significantly before it becomes widely available. However, it highlights a broader trend: the way people discover information online is changing.
Traditional search engines, conversational AI, and new forms of AI search advertising are likely to coexist. Businesses that understand these shifts early will be better prepared to adapt their marketing strategies as new channels emerge.
At FWD Motion, we help businesses navigate these changes through strategic SEO, PPC Google Ads management, and forward-thinking digital marketing strategies. If you want to explore how AI and evolving search behaviour could impact your marketing strategy, we’d be happy to talk.
FAQs About AI Search Advertising
What are ChatGPT ads and how will they work?
ChatGPT ads are sponsored placements that may appear alongside AI responses when relevant to a user’s conversation. As of March 2026, they are currently being tested with a limited group of users in the United States.
Can businesses advertise inside ChatGPT conversations?
Not yet at scale. The feature is currently in early testing, and access is limited to selected advertisers in the US. A broader rollout in the UK has not been announced.
How are ChatGPT ads different from Google Ads?
ChatGPT ads are based on conversation context rather than keyword auctions. In contrast, PPC Google Ads relies on keyword targeting, bidding systems, and detailed performance tracking.
What is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation (GEO) refers to optimising content so that AI systems can understand and reference it when generating answers. It focuses on clear, helpful information rather than traditional keyword rankings alone.
How can businesses appear in AI-generated answers?
Businesses can increase their chances of appearing in AI-generated answers by producing reliable, expert content, maintaining strong brand credibility, and ensuring their website information is clear and accessible.
Will AI search replace traditional SEO?
Not entirely. AI search is likely to become another layer of online discovery alongside traditional search engines. Businesses will need strategies that work across both environments.
17/03/2026