The digital advertising landscape is undergoing a monumental shift. For over two decades, search engine marketing (SEM) has lived within the structured, multi-link results page of traditional search engines. Today, that paradigm is changing. With the introduction of advertising within OpenAI’s conversational responses, a completely new advertising ecosystem has emerged.
However, this new frontier comes with a significant challenge: visibility. Your competitors are currently running ads on ChatGPT, yet you cannot see them. There is no native equivalent to Google’s Auction Insights to show you which prompts your competitors are bidding on, what creative assets they are running, or how their share of voice compares to yours. Traditional search teams are operating with a massive blind spot on one of the fastest-growing channels in digital marketing history.
When OpenAI introduced advertising inside AI-generated responses, forward-thinking brands moved rapidly. Within weeks, minimum spend requirements dropped, the dedicated Ads Manager launched, and a highly competitive ad marketplace was born. With ChatGPT advertising poised to expand into major international markets like the United Kingdom soon, the window of opportunity to secure an early-mover advantage is closing quickly.
To understand exactly how this marketplace is developing, Adthena analyzed nearly 1 million query indexes across 20 industries and five major global markets (the United States, the United Kingdom, Australia, New Zealand, and Canada) between March 2026 and May 2026. The findings reveal a highly dynamic, highly concentrated, and entirely unique advertising environment.
What the Current ChatGPT Ads Landscape Looks Like
The data collected between March and May 2026 paints a clear picture of how OpenAI is scaling its ad product. The platform is transitioning from an experimental sandbox to a mature, highly monetized channel, but this growth is occurring unevenly across geographies and verticals.
A U.S.-First Market with Global Expansion on the Horizon
Currently, ChatGPT’s advertising ecosystem is heavily concentrated in North America. In the United States, ChatGPT served ads on approximately 4.47% of all analyzed queries. Canada showed even higher activity, with an ad frequency of 4.57%. Together, the U.S. and Canada represent the primary engines of OpenAI’s advertising revenue, with the U.S. alone accounting for roughly 90% of all ad placements within the global dataset.
In other English-speaking markets, the channel is still warming up. New Zealand showed healthy early adoption with an ad frequency of 3.85%, while Australia sat at 1.61%. Meanwhile, across approximately 170,000 query indexes analyzed in the United Kingdom during the same period, the ad frequency was effectively zero. This indicates that OpenAI has not yet fully activated the ad serving infrastructure in the U.K. market.
For search marketers based in the U.K. and Europe, this data represents both an opportunity and a warning. While the channel is not yet active locally, your U.S. competitors have spent months testing budgets, refining prompt-bidding strategies, and learning which creative approaches convert. When the U.K. and European markets officially open, international competitors will enter the auction with a proven playbook. Local brands that fail to prepare will find themselves starting from scratch against highly optimized campaigns.
The “Winner-Take-All” Ad Frequency Metric
One of the most critical structural differences between traditional paid search and ChatGPT ads is the real estate available for sponsored messages. On a standard Google Search Results Page (SERP), advertisers can occupy multiple positions. If you miss out on the top spot, you can still generate meaningful traffic and conversions from positions two, three, or even the bottom of the page.
On ChatGPT, the landscape is binary. The data reveals that in the U.S., ChatGPT averages just 1.06 ad items per ad-bearing response. In the vast majority of cases, this means there is exactly one sponsored slot embedded within the AI’s answer. There are no carousels, no sidebars, and no second-page listings. You are either the single recommended solution within the user’s conversational flow, or you do not exist.
This structural limitation changes the economics of share of voice (SOV). Because ad real estate is limited to a single slot per query, competition for high-intent conversational prompts is incredibly fierce. Achieving visibility requires precise targeting, highly relevant creative, and a deep understanding of the auction dynamics.
Industry Verticals: High Performers vs. Restricted Sectors
Just as geographic adoption varies, the distribution of ads across different industry verticals shows a stark contrast between highly competitive categories and sectors that remain completely untouched.
The Surprising Leaders in Ad Frequency
When analyzing which industries are currently driving the highest ad frequency on ChatGPT, the results challenge conventional expectations about AI search. While tech-adjacent industries might be expected to lead, the actual frontrunners are highly tangible, consumer-facing sectors:
- Logistics: Leads all industries with a remarkable 12.41% ad frequency.
- Home & Garden: Follows closely behind at 11.99% ad frequency.
- Beauty & Cosmetics: Shows strong adoption at 10.03% ad frequency.
These figures sit well above the overall platform average of approximately 3.3% across all analyzed queries. Other active sectors include Media & Entertainment (8%), Insurance (7.2%), and Energy & Utilities (6.4%). These industries have recognized that when users turn to conversational AI for project planning, shipping coordinates, or product comparisons, they are displaying deep informational and commercial intent.
The Blocked Verticals: Policy-Driven Absences
Conversely, the study identified four major categories that returned exactly zero ads across the entire global dataset: Legal, Pharma, Banking, and Nonprofits. Additionally, the Healthcare sector was virtually non-existent, registering an ad frequency of just 0.45%.
This absence is not due to a lack of advertiser interest or consumer search volume. Instead, it points to deliberate safety and compliance policies enacted by OpenAI. Because AI engines can occasionally generate inaccurate or biased information, OpenAI appears to be restricting ad placements in highly regulated, “Your Money or Your Life” (YMYL) industries to protect users from potential misinformation. These restrictions are expected to evolve as OpenAI refines its verification processes and algorithmic safeguards. Marketers in these restricted sectors must closely monitor the platform so they are prepared to launch campaigns the moment these policy restrictions ease.
Retail and Fashion Drive the Highest Ad Volumes
While Logistics and Home & Garden lead in percentage-based ad frequency, the Retail & Fashion sector dominates in terms of sheer volume and financial investment.
In the U.S. market, Retail & Fashion queries account for 24.1% of the total query volume but capture a massive 38.9% of all ad items served. With an ad frequency of 6.55%—significantly higher than the U.S. platform average of 4.47%—retail brands are investing aggressively to capture users at the point of product discovery. Across the global dataset, retail placements made up more than a third of all detected ads, proving that transactional product searches are a primary driver of OpenAI’s commercial model.
The Competitive Blind Spot in Conversational Search
The rise of conversational search has created a frustrating paradox for modern digital marketers. Modern SEM practitioners rely on rigorous, data-driven competitive intelligence to allocate budgets, optimize bids, and design ad copy. They depend on tools that provide clear insights into impression share, competitor ad messaging, and keyword trends.
Yet, within the ChatGPT Ads ecosystem, those standard measurement frameworks do not exist natively.
OpenAI’s first-party Ads Manager provides basic performance metrics for your own active campaigns, including spend, impressions, clicks, cost-per-click (CPC), and click-through rate (CTR). However, it offers no visibility into the broader market. You cannot see:
- Which competitors are bidding on the same conversational prompts.
- What specific ad copy or creative assets your competitors are displaying.
- How your share of voice fluctuates week-over-week against key industry rivals.
- Which valuable prompts are currently “greenfield” opportunities with zero competitor bids.
Operating without this data means running campaigns based on guesswork. In an ad format where only one winner is displayed per response, flying blind is an incredibly expensive strategy.
Shining a Light on the Data: ChatGPT Ads Intelligence
To eliminate this blind spot and give search marketers the tools they need to compete in the AI era, Adthena developed a specialized solution: ChatGPT Ads Intelligence.
By monitoring over 300,000 conversational prompts daily across active global markets, this technology provides the same comprehensive, whole-market view that marketers rely on for Google Search. Instead of guessing how your campaigns are performing relative to the market, you can analyze real-time data to see exactly how your brand compares to your top five competitors.
With access to prompt-level ad detection, you can identify high-performing conversational pathways, track your historical share of voice, and discover valuable, uncontested “greenfield” prompts before your competitors bid up the price. This competitive advantage is particularly valuable in a young, emerging ad channel where long-term market positions have not yet been established.
To see how your brand and competitors are positioned in this new conversational marketplace, you can try ChatGPT Ads Intelligence free for 21 days.
The Strategic Path Forward: Why Marketers Must Adapt Now
The emergence of ChatGPT ads is not an isolated trend; it is part of a broader shift in how consumers access information online. Search is no longer confined to a single search engine bar. Users are increasingly turning to AI-native conversational interfaces like ChatGPT and Perplexity to answer complex, high-intent questions. Whether they are researching the best shipping partner for a logistics business, designing a home garden layout, or seeking personalized beauty recommendations, their intent is highly commercial.
For search and digital media practitioners, the scope of responsibilities is expanding. The same strategic rigor, competitive monitoring, and budget optimization that you apply to traditional search channels must now be applied to conversational AI environments.
The brands that establish a strong, data-driven presence on ChatGPT today will be incredibly difficult to displace as the platform matures. We have seen this dynamic play out before; the early adopters of Google AdWords over twenty years ago built structural search engine advantages that took competitors years to close. That exact same window of opportunity is open right now in the conversational search space.
If you are ready to gain full visibility into your conversational search market and understand exactly what your competitors are doing, you can explore Adthena’s ChatGPT Ads Intelligence today and secure your brand’s position in the future of search.