Gravity, an adtech startup focused on placing advertising inside AI-powered chatbots and agents, has raised a $30.5 million Series A round co-led by Lightspeed Venture Partners and Committed Capital. With this new investment, the company's total funding now stands at $38.5 million, positioning it to expand its platform and chase a market that could be worth hundreds of billions by the end of the decade.
Founded on the premise that conversational AI will become the primary gateway to information and commerce, Gravity operates a full-stack advertising ecosystem. Its demand-side platform allows advertisers to purchase ad placements within AI-generated responses, while a supply-side platform gives developers a way to monetize their AI applications through native, text-based ads. The two are connected through an exchange that matches demand with premium inventory. Among Gravity's early advertiser clients are major retail and tech names such as Best Buy, Target, Vercel, and MongoDB.
The company's flagship product places sponsored text results directly inside chat interfaces. These ads appear as suggested listings within a chatbot's reply, designed to feel like an organic part of the conversation rather than a disruptive banner. Gravity's approach is intentionally different from traditional search advertising, which typically relies on keyword matching and link placement. In a chat environment, the ad is often presented as one of several recommendations, giving users a choice while still making the promotion relevant.
Expanding Beyond ChatGPT
Gravity has already secured placements in ChatGPT, the world's most widely used AI chatbot, as well as in a growing roster of other assistants. These include coding tools like Codebuff, environmentally focused bots like EcoGPT, and a number of emerging platforms such as Daimon, Magneta, Runable, and CTO.new. By partnering with multiple AI services, Gravity is attempting to build a broad network that can deliver consistent advertising experiences across the fragmented and rapidly evolving landscape of conversational AI.
OpenAI, the company behind ChatGPT, has taken a keen interest in advertising as a revenue stream. Earlier this year, ChatGPT shifted its advertising model from a fixed fee to cost-per-click, meaning advertisers only pay when users actually click on a sponsored response. OpenAI is also developing its own proprietary ad platform, collaborating with established players like Adobe, StackAdapt, and Criteo. These moves signal that AI assistants are becoming serious media channels in their own right, and they underscore the strategic importance of companies like Gravity that are trying to carve out an independent role in this emerging ecosystem.
For Gravity, the decision to remain platform-agnostic is a key differentiator. Rather than being locked into a single AI provider, the startup works with a wide range of chatbots and agents, giving advertisers a unified way to reach audiences across the entire space. This flexibility is particularly valuable at a time when no single AI assistant has achieved total market dominance, and when consumers are increasingly using different tools for different tasks.
The Agent-to-Agent Advertising Bet
Perhaps the most forward-looking and controversial aspect of Gravity's strategy is its so-called agent-to-agent advertising. Unlike conventional chatbot ads, which are visible to human users, agent-to-agent ads are entirely invisible. They are designed to be read and processed by AI agents that are themselves shopping on behalf of human users. When an AI shopping agent searches for a product category, Gravity's system returns a curated list of relevant advertisers, each with detailed descriptions of their products, features, and current promotions.
This creates an entirely new kind of ad unit: one that speaks directly to a machine, not a person. The goal, according to Gravity cofounder Zach Oldham, is to enrich the buying decision by providing the agent with comprehensive, structured information that it can use to make better recommendations. In an interview, Oldham explained that the system is designed to help agents understand not just what a product is, but why it might be the right choice for the user, including contextual details like price, availability, and unique selling points.
To close the loop, Gravity plans to integrate direct payment capabilities into its platform. This would allow an AI shopping agent not only to compare options but also to complete a purchase, subject to user approval. The vision is a frictionless, fully automated commerce experience where a consumer simply tells an agent what they want, and the agent handles the rest — from finding the best deal to placing the order. Advertising, in this context, becomes a way for brands to influence the decision-making process of the agent itself, rather than just the human behind it.
This model raises important questions about transparency and consumer trust. If ads are being served directly to an AI agent, how can a user know why one product was chosen over another? What safeguards exist to prevent manipulation or bias? Oldham suggests that the key lies in giving agents access to rich, fact-based product data that allows them to make rational comparisons. But critics worry that agent-to-agent ads could create a new form of algorithmic influence that operates beyond human awareness, potentially undermining the objectivity of AI recommendations.
A Market Poised for Explosive Growth
The financial opportunity is enormous. WPP Media, one of the world's largest advertising conglomerates, has projected that marketers will spend $100 billion on ads within generative AI search globally by 2030. That figure alone is a staggering leap from today's negligible spending, and it reflects the rapid adoption of AI assistants as a primary information gateway. OpenAI itself has forecast that its own ad business will reach $100 billion in revenue by the same year, a target that would make it one of the largest advertising companies on the planet within less than a decade.
Early signs suggest that AI advertising can grow quickly. ChatGPT introduced its first ads in February of this year and reportedly crossed $100 million in annualized ad revenue within just two months. That trajectory, while still small compared to the traditional digital advertising giants, demonstrates the appetite that advertisers have for reaching users in AI-driven contexts. It also highlights the speed at which consumer behavior is shifting toward conversational interfaces, especially among younger demographics who increasingly prefer chatting with an AI to browsing search engine results.
Can Gravity Compete with Giants?
Despite the impressive funding and a growing client roster, Gravity faces a daunting competitive landscape. Google, which operates the world's largest online advertising business, has been integrating AI into its search engine and is actively developing its own AI-assisted ad products. OpenAI, as noted, is building an in-house ad platform with the backing of major industry players. Both companies have nearly infinite engineering resources, massive user bases, and deep relationships with advertisers.
Gravity's answer is that its independence and full-stack approach give it a unique advantage. By owning both the buy side and the sell side of the advertising exchange, the company can optimize campaigns across the entire network, using data from every placed ad to improve the relevance and performance of future placements. This network effect, Oldham argues, makes Gravity smarter every time a new advertiser joins or a new publisher integrates its SDK. Because Gravity is not tied to any single AI model, it can offer advertisers a truly cross-platform solution, something that neither Google nor OpenAI can do without partnering with competitors.
There are also technical advantages to Gravity's approach. The startup's platform is purpose-built for conversational AI, meaning it understands how to parse natural language queries and serve ads that match the structure of a chat response. This is very different from adapting traditional search ads to a chat interface, which can reduce relevance and user experience. Gravity also claims to have developed advanced natural language processing capabilities that allow its ads to feel more like suggestions than promotions, a crucial factor in maintaining user trust and engagement.
The company is also betting that the AI assistant market will remain fragmented for some time. While ChatGPT currently dominates the consumer space, there are hundreds of vertical-specific bots and specialized assistants emerging in areas like coding, education, health, and enterprise productivity. Gravity's plug-and-play platform is designed to make it easy for any developer to integrate advertising into their bot, regardless of which AI model or infrastructure they use. This breadth will be essential if Gravity hopes to build a durable competitive moat.
For now, the company is focused on expanding its inventory, refining its agent-to-agent offering, and integrating payments. The next few quarters will be critical as Gravity seeks to move beyond early adopters and prove that full-stack AI advertising can be both scalable and effective. With $38.5 million in total funding and a clear vision for the future of digital commerce, Gravity is positioning itself at the center of what may be the next great advertising revolution — one where the audiences are not just humans, but the AI agents that act on their behalf.