Agentic AI Media Buying Comes to ChatGPT

Omneky is bringing its AI Growth Agent into ChatGPT, giving advertisers a conversational way to create, launch and analyze campaigns across multiple advertising platforms. The integration points to a broader shift in AdTech from AI-assisted campaign management toward agentic systems that can execute media-buying tasks across the advertising stack.

AI advertising platforms have largely focused on helping marketers generate creative, analyze campaigns or automate individual tasks. Omneky is pushing that model further by putting its AI Growth Agent inside ChatGPT, where users can instruct the system to execute advertising workflows across multiple channels.

The company describes its technology as an “agentic harness” that combines a general-purpose AI model with brand information, audience data, performance history and access to advertising platforms. Rather than functioning only as a conversational assistant, the system is designed to use that context to perform growth and media-buying tasks.

According to Omneky, its platform can launch and report on campaigns across Meta, Google Ads, YouTube, LinkedIn, TikTok, Reddit, Pinterest, X and ChatGPT. It can also connect with Google Drive, PostHog, Ahrefs, Semrush and HubSpot to pull information relevant to campaign planning and optimization.

That architecture is significant because modern media buying increasingly involves data scattered across advertising platforms, analytics systems, CRM software, SEO tools and brand repositories. An agent that can access those systems could reduce the number of manual handoffs between campaign planning, creative production, activation and performance analysis.

A marketer, for example, could instruct the Omneky agent to develop a campaign for a new product across several advertising channels with a specified daily budget, review the resulting creatives and later ask which advertisements generated purchases. The company says the same harness can also operate through Slack, Claude and Grok.

The underlying technology also reflects an emerging approach to AI orchestration. Instead of relying on one model for every task, Omneky says its system selects among models including GPT, Claude, Gemini, Grok, Seedance and Wan based on the job. The company positions the harness as the layer connecting those models to advertising data and execution systems.

That could become an important distinction as AI enters media buying. Large language models can generate campaign strategies and creative concepts, but advertisers still need systems capable of accessing live campaign data, applying budgets, interacting with ad platforms and measuring outcomes.

The approach also brings operational questions. Cross-platform campaign automation requires accurate permissions, reliable integrations, budget controls, data governance and safeguards around automated changes. For enterprise advertising teams, the value of an agent therefore depends not only on model intelligence but on how safely it can operate inside existing media-buying infrastructure.

Omneky says it has trained its approach using more than $1 billion in closed-loop advertising spend and claims customers typically see a 2x lift in ROAS. Those figures are company claims rather than independently verified performance benchmarks.

The ChatGPT integration nevertheless illustrates where AdTech is heading: conversational interfaces are becoming another potential entry point into campaign execution. If agentic systems can reliably connect advertising platforms with first-party business data and measurement systems, the traditional boundary between media planning, activation and optimization could become increasingly automated.

Market Landscape

AI is moving deeper into advertising operations, from creative generation and audience analysis to bidding, optimization and measurement. The next stage is agentic media buying, where software can translate natural-language instructions into multi-step advertising workflows.

Omneky’s approach combines AI model orchestration with connections to advertising platforms and business-data systems. That differentiates the concept from standalone AI copywriting or creative-generation tools because the proposed workflow extends through campaign activation and reporting.

The larger challenge is interoperability. Advertisers increasingly manage fragmented inventories across search, social, video and emerging conversational channels, while campaign data remains distributed across DSPs, platforms, analytics tools and CRM systems.

Strategic Outlook

Agentic advertising could change how media buyers interact with AdTech infrastructure. Instead of navigating individual platforms for every campaign task, teams could increasingly use AI interfaces to coordinate actions across several systems.

For enterprise adoption, however, execution controls will matter as much as model capabilities. Budget permissions, human approvals, audit trails, data access and measurement accuracy will determine whether autonomous advertising agents can move from experimentation into production workflows.

Top Insights

Omneky’s ChatGPT integration turns conversational AI into an execution layer for cross-platform advertising, affecting advertisers seeking fewer manual media-buying workflows.
The AI Growth Agent connects advertising platforms with CRM, analytics, SEO and brand data, giving campaign automation broader operational context.
Model orchestration allows Omneky to route advertising tasks across multiple AI models rather than depending on one general-purpose model.
Enterprise adoption will depend on governance, permissions, measurement accuracy and integration reliability as agents gain greater control over advertising workflows.

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