Advertising inside conversational AI is rapidly becoming one of the most discussed topics in digital marketing. As users increasingly shift from search engines and social feeds toward AI-powered interfaces, brands are beginning to explore how to position themselves inside these new discovery environments. The launch of OpenAI’s ads manager has accelerated this transition significantly, introducing a first generation of advertising infrastructure built specifically for conversational interfaces.

At the same time, the broader opportunity extends beyond ChatGPT itself. Retailers, AI publishers, and vertical assistants are all beginning to introduce prompt-based experiences where advertising can be integrated natively into the user journey. As a result, marketers are no longer only asking how to run ads on ChatGPT, but more broadly how to run ads on LLMs and conversational AI platforms.

Understanding how these systems work — and how they differ from traditional advertising channels — is becoming increasingly important for brands looking to stay ahead of the next evolution of digital media.

Why Brands Are Starting to Advertise Inside LLMs

The rise of advertising inside LLMs is closely tied to changing user behaviour.

For years, digital advertising has revolved around two primary environments: search and social. Search captured explicit demand through keywords, while social platforms generated discovery through algorithmic feeds and audience targeting.

Conversational AI introduces a different dynamic altogether.

Users are increasingly relying on AI systems to research products, compare services, ask for recommendations, and solve complex problems. Instead of typing fragmented keywords, they express goals, preferences, and constraints in natural language.

A user may ask:

“What’s the best CRM for a 50-person sales team?”

or:

“What are the best hotels in Lisbon under €200?”

These are not generic browsing signals. They are highly contextual expressions of intent.

This is what makes LLM advertising particularly attractive to brands. The commercial relevance of the prompt itself creates opportunities for highly contextual placements that feel closer to recommendations than traditional advertising interruptions.

How ChatGPT Ads Work

At the moment, advertising inside ChatGPT is still in an early phase.

OpenAI recently launched an ads manager currently available to a limited group of advertisers. The platform allows brands to create campaigns, monitor delivery, and track performance inside ChatGPT conversations. While the functionality is still evolving, the launch confirms that conversational advertising is moving toward a more scalable media-buying model.

The mechanics are relatively straightforward.

Ads are generally triggered based on conversational context and user prompts. When users ask questions related to products, services, travel, software, or other commercial categories, sponsored recommendations may appear below the AI-generated response.

Importantly, the ad does not modify the answer itself. The sponsored placement appears separately and is clearly labeled, helping preserve trust in the generated response while still creating monetizable inventory.

The format currently resembles the early stages of search advertising, but with richer contextual signals.

The Difference Between Advertising on ChatGPT and Traditional Search

Although conversational advertising shares some similarities with search ads, the underlying interaction model is very different.

Traditional search advertising is built around keyword matching. Advertisers bid on terms and compete for placement when users perform searches. The signal itself is often short and incomplete.

Conversational interfaces generate much more detailed intent.

Users describe goals, preferences, budgets, frustrations, and decision criteria naturally as part of the interaction. This creates a more dynamic and context-rich environment for advertisers.

Instead of targeting isolated keywords, campaigns increasingly respond to evolving conversational journeys.

For example, a user exploring travel ideas may progressively narrow down choices through follow-up prompts around budget, timing, or preferred experiences. Sponsored placements can adapt alongside this refinement process.

This is one of the reasons why many marketers see LLM advertising not simply as a variation of search, but as the beginning of a new media category.

How to Run Ads on ChatGPT Today

For brands looking to advertise inside ChatGPT specifically, there are currently two primary approaches.

The first is direct access through OpenAI’s ads manager. At the moment, however, this route remains relatively limited. Access is still selective, minimum budgets may be significant for some advertisers, and the platform itself is continuing to evolve.

The second approach is through managed-service conversational advertising partners that help brands activate campaigns across AI environments more broadly.

This is often the more practical option for advertisers exploring conversational media for the first time. Running ads inside LLMs requires new approaches to creative development, targeting logic, and measurement. Conversational placements behave differently from feed ads or search listings, meaning brands often benefit from guidance around prompt targeting, contextual messaging, and campaign optimisation.

As the ecosystem matures, self-serve conversational media buying will likely become more accessible. For now, however, many campaigns still operate through managed-service or hybrid models.

Why Running Ads on LLMs Goes Beyond ChatGPT

One of the most important things brands should understand is that the future of conversational advertising will not exist exclusively inside ChatGPT.

A much broader ecosystem is already emerging.

Retailers are adding AI-powered shopping assistants. Publishers are introducing prompt interfaces into their products. Vertical AI applications are becoming increasingly specialised across categories such as travel, education, productivity, wellness, and gaming.

All these environments are becoming conversational surfaces where discovery and decision-making happen.

This means the real opportunity increasingly lies in understanding how to run ads on LLMs across the wider conversational ecosystem rather than focusing exclusively on one platform.

The shift is similar to what happened in the early days of mobile advertising. Success eventually depended not on a single app, but on understanding how users behaved across an entire interface paradigm.

How Thrad Helps Brands Run Ads Across Conversational Interfaces

This is where Thrad becomes particularly relevant.

Rather than operating only inside a single AI environment, Thrad is designed as the advertising infrastructure layer for conversational interfaces more broadly.

This allows brands to activate campaigns across:

• AI publishers

• retailer prompt interfaces

• vertical assistants

• conversational commerce experiences

• AI-native discovery environments

The platform analyses conversational context in real time and serves native sponsored placements aligned with user intent.

This is especially important in scenarios where conversations evolve progressively. A user searching for products, travel options, or software recommendations may refine preferences throughout the interaction, allowing contextual ads to become increasingly relevant as the journey develops.

For brands, this creates access to highly engaged decision moments. For publishers and retailers, it transforms conversational interfaces into monetizable assets without compromising user experience.

Why Conversational Advertising Will Continue to Grow

The launch of OpenAI’s ads manager is likely only the beginning of a much larger transition.

As conversational interfaces become increasingly integrated into search, commerce, productivity, and publishing experiences, advertising infrastructure will naturally evolve alongside them. Brands will need strategies capable of operating not only across websites and social feeds, but across prompt-driven environments where users actively seek guidance and recommendations.

This is ultimately why conversational advertising matters so much.

Understanding how to run ads on ChatGPT — and more broadly how to run ads on LLMs — is quickly becoming an important consideration for modern marketing teams.

While the ecosystem is still early, the underlying shift in user behaviour is already clear. Consumers are increasingly relying on conversational AI to discover products, evaluate options, and make decisions. This creates new opportunities for brands to engage users through highly contextual, intent-rich interactions.

As the market evolves beyond individual platforms toward a broader conversational ecosystem, infrastructure layers such as Thrad will play an increasingly important role in helping brands scale advertising across the AI-native web.