Jonathan Gudai on AdOmni & Jeen AI: The Future of AI-Powered Media Buying

1. What inspired you to develop Jeen AI, and how does it align with your vision of the future of media buying?

We built Jeen AI to simplify and accelerate the creation of media plans, moving beyond manual RFPs and static spreadsheets toward a model where strategy, inventory discovery, and activation happen in minutes, not days.

Our vision is simple: media buying should be intelligent, accessible, and fast. While that speed and simplicity has existed in digital channels like paid search or social, it was missing from DOOH and cross-channel video. Jeen AI fills that gap. It’s not just a tool, it’s a campaign companion and thought partner, trained on a decade of media buying patterns, campaign data, and contextual signals.

Jeen AI helps marketers of all sizes move from “what should I do?” to “here’s a launch-ready plan,” instantly.

2. What kind of data does Jeen AI analyze to make recommendations, and how is it sourced?

Jeen AI pulls from a rich, multi-layered dataset that includes:

• Live inventory availability across over 1 million programmatically connected DOOH screens on the AdOmni platform
• Historical campaign performance from more than 10 years of anonymized client data across approximately 25 brand industry verticals
• Audience insights based on location, venue type, dayparting, and proximity to points of interest
• Pricing benchmarks to evaluate CPMs and budget efficiency

All data is sourced internally through AdOmni’s programmatic infrastructure or via vetted audience data partners. Every recommendation Jeen AI makes is grounded in real, bookable inventory, not hypothetical media plans.

3. In your view, what key inefficiencies in the traditional media buying process does Jeen AI address?

Jeen AI tackles three major pain points:

• Manual workflows – Building plans typically involves spreadsheets, emails, PDFs, and coordination across multiple agency and vendor teams. Jeen AI replaces those steps with an end-to-end interactive assistant.
• Planning time – DOOH campaigns, especially across multiple markets, used to take days to plan. Jeen AI reduces this to minutes, enabling rapid iteration and faster client delivery.
• Lack of data grounding – Many plans rely on assumptions. Jeen AI generates strategies rooted in live inventory, vertical-specific benchmarks, and local context, making the output more actionable and precise.

4. Is Jeen AI designed for seasoned media buyers, first-time advertisers, or both? How do you address the accessibility?

Both, and that was intentional. For seasoned buyers, Jeen AI accelerates tedious workflows. It gets you to a first draft in minutes, freeing up time for strategy and storytelling. Advanced features like geofencing, dayparting, custom audience segments, and real-time optimization make it both powerful and precise.

For first-time advertisers, it simplifies DOOH planning. Jeen AI walks users through every step, from setting goals to selecting screens to launching with a credit card. It removes the traditional barriers of cost, complexity, and jargon. Accessibility is core to the product’s design. You don’t need a media background to use it, but there’s plenty of depth if you do.

5. How do you maintain transparency for advertisers using Jeen AI, especially when AI handles decision-making?

Transparency is crucial and built into every part of Jeen AI’s process. Every recommendation includes:

• Rationale and context – explaining why a venue or strategy was selected
• Editable inputs – so users can review, adjust, or override any suggestion
• Exportable plans – fully human-readable and shareable, not hidden in a black box
• Inventory-level detail – showing screen location, format, estimated impressions, CPMs, and targeting layers

Jeen AI never makes hidden, automated purchases. It functions as a strategic companion – empowering the buyer, not replacing them.

6. How do you envision AI reshaping the media buying ecosystem in the next 3–5 years?

We believe AI will reshape media buying in four fundamental ways:

• From reactive to proactive planning – AI will anticipate campaign needs based on historical cycles, brand performance, and local trends, prompting planning even before briefs are written.
• From fragmented to unified workflows – Strategy, inventory, creative, activation, and measurement will consolidate into a single AI-enabled platform.
• From specialists to cross-functional operators – With AI lowering technical barriers, marketers across functions, from brand to growth, will be able to initiate and refine buys.
• From guesswork to clear insights – AI-generated recommendations will be more transparent, auditable, and focused on ROI, not just impressions.

In short, AI will not replace media planners and buyers. It will amplify them – enabling faster, smarter, and more efficient campaigns.

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