An AI workflow can scrape trending TikToks using a tool like Appify, analyze video content and comments with Gemini, and generate tailored creative briefs based on a brand's style guide. This workflow transforms days of manual research into a minutes-long, data-driven process.

The true power of AI agents lies in full-cycle automation. An agent can be built to scrape customer pain points for ad ideas, generate creative, publish campaigns via API, analyze live performance data, and then automatically reallocate budget by disabling underperformers and scaling winners.

OpenAI is testing ads on ChatGPT's free tier, mirroring the early monetization paths of Google and Facebook. This move signals the inevitable rise of generative AI platforms as a major advertising channel that marketers will need to understand and master.

TikTok is integrating powerful AI tools for businesses, including AI-generated scripts and voiceovers from product data, and AI models to showcase apparel. This democratizes video ad creation by removing the need for expensive photoshoots, models, or extensive video production.

While ChatGPT ads are currently basic and text-based, recent OpenAI job postings for its ads group explicitly mention video and native ad formats. This indicates a strategic shift, suggesting marketers should prepare for a more robust, multi-format advertising ecosystem on the platform, much like other major digital channels.

OpenAI has democratized access to its ChatGPT ad platform by removing all minimum spend requirements, once as high as $200,000. This makes it a viable testing ground for businesses of all sizes, with early cost-per-click bids reported in the $3-$5 range, creating a major new marketing channel.

Platforms like TikTok are releasing downloadable "AI Skills"—pre-trained instructions for AI tools. Since these skills are modifiable and run in external AIs like ChatGPT, a marketer could theoretically use TikTok’s viral video skill to generate ad concepts for Meta's platforms, breaking down ecosystem silos.

Claude Code enables marketers to build interfaces to the LinkedIn Ads API, accessing more detailed performance data than is available in the standard Campaign Manager UI. This allows for automated, deeper analysis and optimization without needing a developer.

By creating a LinkedIn developer app and connecting it to an AI tool like Claude, marketers can automate routine campaign optimizations. This includes prompting the AI to analyze performance, recommend bid adjustments to control spend, and maintain budget pacing through busy and slow periods.