Summary
Celeste AI is setting a new standard in commerce media by combining generative AI with Skai’s proprietary data intelligence. Designed to streamline decision-making, Celeste AI empowers marketers with real-time insights and strategic recommendations that enhance performance across retail media, paid search, and social commerce. It’s more than a tool—it’s a game-changing AI marketing agent reshaping how brands drive growth.
Last updated: December 19, 2025
The future of marketing and commerce media is being redefined thanks to the convergence of generative AI, data intelligence, and omnichannel insights. At Skai, we’ve always believed in the power of data to drive smarter decisions, better performance, and greater growth for brands. But with the launch of our GenAI marketing agent Celeste AI, we’re taking a giant leap forward—ushering in a new era where technology doesn’t just assist marketers, but revolutionizes the entire marketing process.
We don’t think of Celeste as just a new tool — it’s an enabling technology that transforms how marketers engage with data, make decisions, and drive growth. Powered by Skai’s proprietary data intelligence, Celeste leverages Generative AI to accelerate smarter decision-making, empowering businesses to optimize investments in retail media, paid search, and social commerce. It fundamentally alters how brands and agencies execute and measure campaigns across touchpoints, making the process more efficient and effective.
Micro-answer: Celeste AI is a GenAI agent that turns data into actions.
How is generative AI rising in marketing?
- Generative AI is shifting marketing from dashboards to dialogue.
- Marketers need AI that answers commerce media questions fast.
- Generative AI is moving marketers from menu-driven dashboards to conversational decision support. The shift matters most when prompts are grounded in trusted, first-party performance data and cross-channel context. Vendors that pair language interfaces with commerce intelligence will help teams act faster and with more confidence.
GenAI has been one of the hottest buzzwords in tech and marketing for a few years now. Yet, while the technology itself is no longer new, its application in the world of commerce media is still in its infancy. The problem? Marketers have been overwhelmed by the number of tools, dashboards, and platforms that promise to streamline their processes. But the real shift comes not from the interface or even the tools themselves—it’s from the intelligence driving them. According to Stanford’s 2025 AI Index, 78% of organizations reported using AI in 2024 and 71% reported using generative AI in at least one business function—underscoring how quickly conversational workflows are becoming mainstream in business.
As AI becomes the new UI/UX, it is becoming clear that commerce media won’t be defined by features that do little to answer the toughest marketing questions. The future of “ease of use” lies in using a simple native-language interface, while the future for workforces will depend on the ability to prompt effectively. Marketers must start asking their vendors for their GenAI innovation roadmap. Those who don’t will risk being left behind.
At Skai, we’ve built Celeste to address this.
Why is Celeste AI more than just a tool?
- Celeste turns commerce data into decisions, not dashboards.
- Ask questions in plain language and get next steps.
- Celeste AI lets marketers ask natural-language questions on Skai’s commerce media data and get actionable insights back—without exporting spreadsheets or hopping between dashboards. By synthesizing cross-channel and competitive signals, it speeds analysis, clarifies next steps, and reduces operational drag on teams.
Celeste AI isn’t just a tool—it reshapes how marketers interact with data, simplifying processes and accelerating decision-making. For years, marketers have been forced to sift through complex dashboards and spreadsheets to make decisions that affect multi-million-dollar budgets. With Celeste, all that changes. See how Celeste AI fits into Skai’s AI-powered marketing approach for commerce media teams.
Celeste elevates this experience by synthesizing data from 200+ publishers, competitive insights, and cross-channel performance, giving marketers immediate access to actionable insights that save time and increase efficiency. In practice, this kind of embedded decision support aligns with what McKinsey’s 2024 State of AI describes as the jump in regular genAI use—because the value shows up when AI is integrated into real workflows, not bolted on as a separate destination.
Instead of spending hours analyzing data, marketers can use Celeste’s insights to answer both strategic and tactical questions, such as:
- What are my biggest growth opportunities across retail media?
- How should I adjust my budget allocation to maximize ROI?
- What product attributes are driving the most sales?
- How is my paid social performance impacting my retail media campaigns?
This capability changes how marketers operate, enabling real-time decision-making that accelerates growth.
What are the three value pillars behind Celeste AI?
- Celeste is built around efficiency, performance, and growth.
- Efficiency, performance, and growth discovery drive the roadmap.
- Celeste is designed around three outcomes commerce teams care about: saving time on analysis and reporting, improving ROI through smarter cross-channel optimization, and surfacing new opportunities that manual reviews miss. Together, these pillars turn AI from a novelty into a repeatable operating advantage.
At its core, Celeste was built around three key value pillars that drive its unmatched capabilities:
Efficiency & Productivity
Marketers today are constantly juggling multiple platforms, numerous KPIs, and complex campaign structures. Celeste simplifies this by streamlining workflows and automating processes, allowing marketers to focus on what matters most—making smarter decisions.
With Celeste, marketers can instantly access insights, receive real-time recommendations, and significantly reduce the time spent gathering and analyzing data. This efficiency not only frees up time but also enables teams to act faster, which is increasingly important in a rapidly changing media landscape.
Performance & Optimization
Maximizing ROI is the holy grail of any marketing campaign. Celeste optimizes budgets and campaigns by providing granular insights on resource allocation across retail media, paid search, and social platforms.
Celeste is designed to continuously learn and improve, ensuring that it can make the best decisions possible with each interaction. By understanding historical performance, competitive trends, and channel synergies, Celeste suggests ways to optimize campaigns in real time, helping brands stay ahead of the curve.
New Growth Opportunities
Finding new growth opportunities is more important than ever, as marketers navigate a complex ecosystem with more channels, products, and consumers to engage. Celeste excels at uncovering hidden opportunities by aggregating insights from across the marketing stack and connecting dots that may otherwise go unnoticed.
Celeste uncovers new growth opportunities by analyzing cross-channel data, enabling marketers to refine strategies and identify new segments faster than traditional methods.
How does Celeste AI improve efficiency and productivity?
- Celeste reduces busywork so teams can focus on strategy.
- Automate workflows and get answers instantly.
- Celeste reduces time spent pulling reports, reconciling KPIs, and building slides by answering questions directly in the platform and generating recommendations in seconds. That frees specialists to focus on strategy, testing, and stakeholder communication—especially as spend, campaigns, and retail partners scale.
What really sets Celeste apart is the fusion of Skai’s proprietary data intelligence with generative AI, creating a tool that transcends traditional marketing technology. While many AI tools are simply glorified chatbots or data aggregation platforms, Celeste is a multi-dimensional marketing agent capable of interpreting and acting on complex data across multiple channels.
While other solutions require marketers to decipher insights from incomplete data, Celeste delivers precise, actionable recommendations based on complete intelligence.This blend of AI and data science ensures that marketers can confidently make the right decisions with speed and precision.
How does Celeste AI drive performance and optimization?
- Celeste helps optimize budgets with cross-channel clarity.
- Optimize ROI with smarter budget and bid decisions.
- Celeste supports performance by connecting historical results, competitive context, and channel interactions into actionable recommendations. Instead of optimizing each publisher in isolation, teams can prioritize what will move overall ROI—then adjust budgets and tactics faster as conditions change.
The proof of Celeste’s value is in its adoption. Industry leaders like Acosta Group, Advantage Solutions, Tinuiti, and WaterWipes have already been exploring Celeste’s capabilities through our exclusive closed beta. Early feedback has been overwhelmingly positive, with clients reporting significant time savings and immediate improvements in campaign performance. For a concrete example of how this shows up in day-to-day work, see the Acosta Group Celeste AI case study on streamlining reporting workflows and getting answers without switching tools
“In all my years as a product leader, I’ve never seen this level of excitement before from clients,” says Guy Cohen, Chief Product Officer at Skai. “Celeste is nothing short of mind-blowing. The insights it delivers, the recommendations it generates, and the impact it will have are unmatched. It’s like having a personal expert that understands every channel, every publisher, every product, every audience by your side.”
From crafting quarterly business reports in seconds to receiving real-time budget recommendations, marketers in our beta are discovering that Celeste isn’t just a tool—it’s an essential part of their team, working alongside them to optimize performance and drive growth.
What is the future of GenAI in marketing as a multi-agent ecosystem?
- GenAI is moving from one assistant to many specialized agents.
- Multi-agent systems will split planning, activation, and measurement.
- The next phase of GenAI in marketing is agent specialization: different agents handle planning, forecasting, activation, and measurement while sharing context. Celeste is positioned to plug into that ecosystem, collaborating with client-built agents so commerce media teams can scale decisions without scaling busywork.
Celeste is only the beginning. Today, it acts as a single AI-powered agent supporting media teams, but in the near future, it will evolve into a multi-agent system, each specializing in distinct tasks across planning, forecasting, activation, and measurement. More importantly, we recognize that many of our clients are developing their own GenAI capabilities, building custom AI agents trained on their proprietary data. Skai’s vision is for Celeste to seamlessly integrate into this future, collaborating with other AI agents to create a truly intelligent commerce media ecosystem.
The true promise of Celeste is not just automation; it’s about freeing teams from mundane tasks so they can focus on what they do best: dreaming, envisioning, strategizing, and creating. With Celeste handling executional complexity, organizations can become more agile, drive better performance, and unlock new opportunities for growth.
How does Celeste AI unlock a new era of media intelligence?
- Celeste accelerates decisions by removing manual bottlenecks.
- Free teams for strategy, creativity, and big-picture thinking.
- By turning fragmented performance data into promptable intelligence, Celeste helps organizations move faster from insight to action. That agility matters most in commerce media, where budgets, competition, and retail dynamics shift quickly—making speed and confidence a durable advantage.
Just as Skai pioneered omnichannel media management, we see GenAI as the next major frontier. Celeste isn’t just about automating tasks—it’s about freeing teams to focus on what people do best: strategy, creativity, and big-picture thinking. By eliminating manual bottlenecks and accelerating decision-making, Celeste helps organizations become more agile, achieve stronger performance, and unlock new growth opportunities.
The future of commerce media is here — and Celeste is shining the way.
Learn more
Curious about how Celeste can transform your marketing efforts? Watch the demo and hear directly from our beta clients here: https://skai.streamgo.live/your-future-coming-soon/
Related Reading Emily Blog Prompt
- How Acosta Group Streamlined Reporting and Empowered Its Team with Celeste AI — Shows how an agency moved from manual spreadsheets to instant, in-platform answers for faster reporting and sharper client responses.
- Inside Croud’s AI Journey with Skai’s Celeste AI — Highlights how early adoption can reduce manual analysis and refocus teams on strategy, optimization, and client engagement.
- Remazing accelerates reporting and unlocks time for strategy with Celeste AI — Demonstrates time savings and workflow lift when Celeste is embedded into recurring reporting and insight generation.
Frequently Asked Questions
What is Celeste AI and what does it do?
Celeste AI is Skai’s generative AI marketing agent for commerce media. It lets teams ask natural-language questions on their own cross-channel performance data and get actionable insights back—supporting faster reporting, smarter budget decisions, and opportunity discovery across retail media, paid search, and social commerce.
How do I start using a GenAI agent like Celeste AI in my workflow?
Start with one recurring mission—like weekly performance reporting, budget pacing, or growth opportunity mining. Document the top 10 questions stakeholders ask, run them as prompts, and compare speed and clarity vs. your current process. Then standardize prompt templates and roll into QBRs and weekly optimization rituals.
Why isn’t my AI analysis workflow producing trustworthy recommendations?
Common issues include using incomplete data, unclear success metrics, and prompts that don’t specify scope (channel, time period, objective). Improve reliability by grounding prompts in first-party performance data, naming the KPI you’re optimizing, and asking for the “why” plus the recommended next action so outputs are auditable and decision-ready.
Celeste AI vs. manual dashboards: Which is better?
Glossary
Celeste AI — Skai’s generative AI marketing agent designed to answer natural-language questions on commerce media performance data and return actionable recommendations.
Commerce media — Advertising and marketing activity tied to retail/commerce outcomes across retailers, marketplaces, and digital shopping surfaces.
Generative AI (GenAI) — AI models that create or synthesize content (text, code, images) and can also power conversational analysis interfaces.
Agentic AI — AI that performs goal-driven tasks (often across multiple steps) like diagnosing performance, recommending actions, and helping execute workflows.
Omnichannel insights — Performance understanding that connects signals across retail media, paid search, and paid social rather than analyzing each in isolation.
Cross-channel performance — Results and interactions across multiple media channels that influence each other (e.g., social impact on retail media).
Proprietary data intelligence — Platform-specific datasets, models, and context that improve recommendation quality beyond generic, public-data AI.
Prompting — Asking structured questions in natural language to retrieve analysis, explanations, and recommended actions from an AI system.
Budget allocation — Deciding how to distribute spend across channels, campaigns, or products to maximize a defined KPI (ROI/ROAS, growth, etc.).
Growth opportunity mining — Identifying new segments, products, or tactics likely to improve outcomes that may be missed in manual review.