Lapis, an AI-powered advertising operating system, is helping brands prepare for the next generation of conversational advertising with a system designed to create, launch, measure, and continuously improve campaigns on ChatGPT. Instead of treating every campaign as a standalone effort, Lapis turns advertising results into actionable insights that can shape what marketers run next.
As consumers increasingly use AI assistants to research products, compare solutions, and make purchasing decisions, conversational platforms are becoming an important new environment for marketers. ChatGPT ads give brands an opportunity to reach potential customers within relevant buying conversations, where context and intent can play a central role in the advertising experience.
Lapis is designed specifically to help marketers navigate this emerging channel. Its ChatSense solution transforms brand information, products, audiences, and growth objectives into structured campaign strategies and experiments. The platform can generate multiple creative variations, organize them around buyer intent, and evaluate performance to identify the messages and audiences that deserve further investment.
Turning Every Campaign Into a Learning Opportunity
One of the key differences in Lapis’s approach is its focus on continuous learning. Traditional advertising dashboards primarily tell marketers what happened in a previous campaign. Lapis goes a step further by analyzing campaign patterns and using those insights to recommend what should be tested next.
The platform tracks important performance indicators such as impressions, clicks, spend, click-through rate, cost per click, and cost per thousand impressions. Creative variations can also be organized according to dimensions including audience, use case, buyer trigger, product anchor, message style, angle, and proof.
This structured approach enables marketing teams to understand why a particular message performed well rather than simply identifying which advertisement received the most clicks.
Lapis also uses confidence-adjusted click-through rate analysis to reduce the influence of campaigns with limited impressions. This helps marketers avoid treating a small, potentially misleading data sample as a proven winner.
Built Around Buyer Intent
Conversational advertising differs from traditional search and social advertising because users communicate their needs through questions, situations, and detailed descriptions rather than relying solely on short keywords.
Lapis addresses this difference by organizing experiments around buyer contexts. The system can map the questions, needs, and situations associated with a product into distinct context-hint experiments, helping advertisers develop campaigns around the intent behind a conversation.
For brands exploring ChatGPT ads, this creates an opportunity to test different messages against different buyer situations and identify the themes that consistently attract attention.
Rather than relying on a single headline or creative concept, Lapis can launch hundreds of title and copy variations across organized intent clusters and distill the results into a smaller group of high-performing ideas. The resulting insights can then be used to shape future campaigns.
From Campaign Creation to Launch
Lapis is designed to support the advertising workflow beyond creative generation. Once a campaign is approved, the platform can assist with preparation, formatting, submission, and launch tracking, allowing marketing teams to monitor campaign progress from review through platform status.
Advertisers remain in control of important campaign decisions, including offers, claims, brand guidelines, objectives, budgets, and approval requirements. Lapis operates within those boundaries while helping automate campaign preparation, analysis, and iteration.
For eligible advertisers, OpenAI controls account eligibility, business verification, ad review, placement, pricing, and delivery, while Lapis focuses on the intelligence and operating workflow surrounding the advertiser’s campaigns.
A New Performance Channel for Marketing Teams
The opportunity is significant as ChatGPT continues to be used at large scale. Lapis currently highlights more than 900 million weekly ChatGPT users across the platform, emphasizing the potential reach available through conversational AI.
The company also provides tools for comparing campaign performance across supported channels, including ChatGPT, Reddit, and Meta. This allows marketing teams to compare themes, experiments, and winners across multiple advertising environments instead of analyzing each channel in isolation.
For brands entering this new advertising environment, Lapis aims to make experimentation more systematic. Its Explore, Promising, and Scale framework allows marketers to test broadly, identify patterns that repeat, and eventually allocate more resources toward proven ideas.
Making Advertising More Adaptive
The central idea behind Lapis is straightforward: advertising should become smarter with every campaign.
By connecting creative hypotheses with campaign performance and turning those findings into recommendations for future experiments, Lapis gives marketing teams a continuous optimization loop. Instead of starting from scratch every time a new campaign is created, marketers can build on the knowledge generated by previous runs.
As conversational AI becomes a larger part of how consumers discover information and evaluate products, ChatGPT ads represent a new opportunity for businesses looking to connect their offerings with relevant customer intent.
Lapis is positioning its ChatSense solution to help brands enter this emerging channel with a more structured, data-driven approach—combining campaign creation, experimentation, performance analysis, and continuous optimization within one operating system.
With its focus on learning from every result, Lapis aims to help marketing teams move beyond simply launching advertisements and toward building campaigns that improve with every iteration.
Disclaimer: The information provided in this article is for general informational and educational purposes only. It does not constitute professional advertising, marketing, or technology advice. Conversational advertising platforms and eligibility requirements are subject to change; readers should verify all details with official providers. The mention of Lapis, OpenAI, or any specific platform is illustrative and does not imply endorsement. The author and publisher disclaim all liability for any campaign outcomes, financial losses, or other consequences arising from reliance on this content. Always test campaigns responsibly and adhere to platform policies. This article does not guarantee specific advertising results.
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