The news: AdsGency, which bills itself as the first agentic operating system for advertisers, is working to unify the entire advertising process in a single ecosystem.

• Its large language models (LLMs) target the ideal audience, create the ads, and automate the ad-buying process.
• The startup also integrates first- and third-party data and works with platforms like Snowflake and Salesforce to provide real-time analytics.

“AdsGency … really is the first functional alternative to bloated ad stacks,” said Camille Ricketts, operating partner and head of marketing at XYZ Venture Capital, per Business Insider.

Why it matters: Ad stacks are spread across multiple platforms and devices, complicating the process from planning to performance. AdsGency provides a single dashboard to manage campaigns.

• Targeting: It connects with Google, Meta, and other ad exchanges and helps clients analyze their customer profiles. In turn, AdsGency transforms that data into audience segments.
• Creation: Its AI tools create copy, images, and videos for specific audiences.
• Analytics: The dashboard tracks, analyzes, and optimizes campaigns in real time.

AdsGency is expanding on Meta’s goal to automate advertising on its social platforms—where brands can connect a bank account, state an objective, and let Meta’s AI do the rest. The startup is building on that to include Google, TikTok, Pinterest, and others.

What our analysts say: “Automation is key to the future of advertising as marketers eye solutions that offer efficiency and scale,” said EMARKETER analyst Marisa Jones. “But while AdsGency’s LLMs could be valuable for automating processes like finding target audiences and ad buying, brands should remain cautious about creating ads entirely using LLMs.

“Audiences are still highly wary of ads created using AI and are often less likely to pick brands because of this,” she said.

Our take: AdsGency is breaking down siloes and democratizing advertising for smaller teams that don’t have the talent budget of larger companies. But at the same time, it’s taking over for humans and can easily miss the nuance that people can provide.

Brands could adopt systems like AdsGency for targeting, placements, and analytics but leave the content to human creatives.