The digital advertising landscape is undergoing its most profound shift since the inception of sponsored search results. For decades, search engine marketing (SEM) has operated on a predictable, well-understood model: a user types a query into a search engine, and a list of links—some paid, some organic—appears. Today, that model is being disrupted by conversational artificial intelligence.
Your competitors are actively running ads on ChatGPT. However, unlike traditional search networks, you cannot easily see them. You do not know which prompts they are bidding on, what ad copy or creatives they are serving, or how their presence scales against your own budget. On traditional search networks like Google Ads, Auction Insights provides a clear view of competitor behavior. On ChatGPT, search marketing teams have historically been left in the dark.
This massive visibility gap is a critical blind spot for modern digital marketing teams. Earlier this year, OpenAI officially launched advertising inside AI-generated responses. Brands adopted the channel rapidly. As OpenAI introduced its dedicated Ads Manager and lowered minimum spend requirements, a completely new advertising ecosystem was born. With conversational advertising poised to expand into major global markets like the United Kingdom, the window for securing a first-mover advantage is closing quickly.
To understand exactly how this new frontier is operating, we have analyzed real-world ad delivery on ChatGPT since its rollout. The findings reveal a highly competitive, fast-evolving market that requires a completely new playbook for competitive intelligence.
The State of ChatGPT Ads: Market Overview
To establish a clear picture of how AI-driven ads are served, nearly 1 million query indexes were analyzed across 20 distinct industries and five major global markets: the United States, the United Kingdom, Australia, New Zealand, and Canada. This comprehensive dataset, captured between March 2026 and May 2026, reveals exactly how conversational search advertising is taking shape.
A US-First Channel with Global Aspirations
Currently, conversational advertising is heavily concentrated in North America. In the United States, ChatGPT served ads on approximately 4.5% of all queries analyzed. Canada leads overall ad density slightly, showing an ad frequency of 4.57%. New Zealand also shows healthy ad integration at 3.85%, while Australia sits at 1.61%.
In contrast, across roughly 170,000 query indexes analyzed in the United Kingdom during the same March to May 2026 window, the number of served ads was effectively zero. The United States currently accounts for roughly 90% of all ChatGPT ad placements in the global dataset.
For search engine marketing teams based in the UK and Europe, these findings represent both a challenge and an extraordinary opportunity. While the channel is not yet fully active in these regions, it will be soon. US-based competitors have spent months testing ad creatives, refining prompt targets, and understanding conversion pathways. When OpenAI activates conversational advertising in the UK and European markets, local brands that have not prepared will find themselves starting from scratch against highly optimized global competitors.
The Binary Reality: One Ad Per Response
One of the most striking findings from the dataset is the strict limit on ad real estate within AI interfaces. In the United States, ChatGPT averaged just 1.06 ad items per ad-bearing response. In the vast majority of cases, this means that when an ad is displayed, it is the only ad shown.
This completely changes the mechanics of search engine marketing. In a traditional search engine results page (SERP), a brand can bid for position two, three, or four and still capture a healthy CTR (click-through rate) and driving conversions. On ChatGPT, there is no second page of search results, and there is rarely a second ad spot. The auction is binary: your brand is either integrated directly into the AI’s generated response, or it is completely absent. This puts an unprecedented premium on achieving absolute share of voice (SOV) for high-intent conversational prompts.
Industry Vertical Analysis: Winners and Blocked Categories
Ad adoption on ChatGPT is not distributed evenly across all sectors. While some industries are investing heavily, others are currently restricted by platform policy or regulatory boundaries.
The Blocked Verticals
During the analysis period, four major categories returned zero ads across the entire dataset:
- Legal Services
- Pharmaceuticals
- Banking
- Nonprofit Organizations
Additionally, the broader Healthcare sector was nearly non-existent, registering an ad frequency of just 0.45%. This absence of commercial activity is a deliberate policy decision by OpenAI rather than a lack of market demand. Because AI responses in sectors like finance, law, and medicine carry significant liability and require strict regulatory compliance, OpenAI has taken a highly conservative approach to ad delivery in these spaces.
However, these restrictions will inevitably evolve. As compliance frameworks are established, these blocked gates will open. Marketing teams in these restricted sectors must establish monitoring systems now, ensuring they are positioned to capture market share the moment these policies shift.
Surprising Frontrunners in Conversational Ads
While one might expect tech-focused or software-as-a-service (SaaS) verticals to dominate a new AI channel, the data shows that physical goods, logistics, and consumer services are leading the charge. The highest ad frequencies across all analyzed markets include:
- Logistics: 12.4% ad frequency
- Home & Garden: 12.0% ad frequency
- Beauty & Cosmetics: 10.0% ad frequency
- Media & Entertainment: 8.0% ad frequency
- Insurance: 7.2% ad frequency
- Energy & Utilities: 6.4% ad frequency
These figures sit well above the overall platform ad frequency average of approximately 3.3%. Why are these specific sectors thriving? Conversational search is uniquely suited to queries in these spaces. Users frequently turn to AI for step-by-step planning, comparison shopping, and complex logistics coordinates—such as finding the best shipping rates or designing a backyard layout. These multi-turn conversations offer ideal touchpoints for targeted, contextual product and service recommendations.
Retail and Fashion Drive the Volume
When looking at pure volume and financial commitment, Retail & Fashion is the dominant vertical on ChatGPT. In the United States, Retail & Fashion queries made up 24.1% of the total query volume analyzed, yet they claimed a massive 38.9% of all served ad items.
With an active ad frequency of 6.55% against the US market average of 4.5%, retail advertisers are competing aggressively for conversational real estate. Retail and ecommerce brands recognize that when a user asks an AI to “recommend a winter wardrobe” or “find sustainable running shoes,” the intent to purchase is incredibly high. Being the single recommended partner in that response is highly valuable, explaining why the sector commands more than a third of all ad placements in our global database.
The Competitor Blindspot: Why Native Tools Fall Short
The core challenge for search marketers today is not a lack of interest in ChatGPT advertising, but rather a lack of visibility. Modern digital marketing relies heavily on competitive intelligence. Search specialists use comprehensive tools to track search term volume, monitor competitor ad copy, map impression share, and adjust bids dynamically based on auction dynamics.
Unfortunately, those essential mechanisms do not exist natively within OpenAI’s ad platform. The native ChatGPT Ads Manager provides standard, self-directed metrics:
- Total ad spend
- Impressions
- Clicks
- Average Cost Per Click (CPC)
- Click-Through Rate (CTR)
While useful for evaluating your own campaign performance, these metrics tell you nothing about the broader market. You cannot see who is bidding against you on critical prompts, which competitor creatives are successfully winning the single ad slot, or how your brand’s share of voice changes over time. Marketing teams are essentially spending real budget in a highly competitive auction environment while wearing a blindfold.
Bringing Transparency to Conversational Search
To eliminate this blindspot, Adthena developed a specialized tracking capability designed to bring the same level of granular market intelligence to conversational search that marketers rely on for Google Search.
By monitoring over 300,000 prompts daily across live ChatGPT Ad markets, ChatGPT Ads Intelligence offers a comprehensive, market-wide perspective. This specialized technology allows search teams to observe exactly which competitors are appearing in conversational search results, map weekly share of voice trends, and analyze the specific ad messaging that competitors use to secure the single featured ad spot.
Crucially, this data allows brands to discover “greenfield” opportunities—high-intent conversational queries that users frequently search for, but where no competitors are currently running ads. Identifying these uncontested spaces allows search marketers to capture high-value customer interactions at a fraction of the cost of highly contested traditional search terms.
Because conversational ad auctions are still in their infancy, establishing this visibility early is critical. Brands can currently explore this data firsthand by signing up for a free 21-day trial of ChatGPT Ads Intelligence to inspect their brand’s current vertical landscape.
How Search Marketers Must Adapt
The rise of conversational search advertising represents a fundamental shift in how consumers gather information and make purchasing decisions. Users are increasingly turning to platforms like ChatGPT and Perplexity to bypass the traditional search engine results page, opting instead for synthesized, direct answers to complex queries.
For search practitioners, this means the scope of work is changing. Succeeding in search marketing now requires looking beyond standard search queries to understand conversational user intent. The rigorous optimization, competitive benchmarking, and share-of-voice tracking that brands apply to Google Ads must now be extended to AI-driven interfaces.
The companies that invest in understanding conversational search ad dynamics today will be the hardest to displace as these platforms mature. The digital marketing landscape has seen this dynamic play out before; early adopters who mastered Google AdWords in its infancy established structural advantages that took competitors years to overcome. A similar window of opportunity is open today in the conversational space, and the data shows that the market is moving quickly.
To evaluate your current competitive landscape and see what your competitors are doing on conversational search, you can access a free 21-day trial of Adthena’s ChatGPT Ads Intelligence.