Program

1) Generative AI Inside PPC Platforms

What’s already available inside Google Ads, Meta, and TikTok—and how to use it properly:

•    Google Ads: AI-generated ad copy, PMax asset creation, and AI-powered performance insights.
•    Meta Ads: Advantage+ campaigns, AI-driven copywriting, and automated audience targeting.
•    TikTok Ads: Creative Assistant, AI-powered script generation, and Symphony for video ads.

2) Generative AI Beyond PPC Platforms

External tools that let you go beyond what ad platforms offer:

•    Ad copy & creative: GPT-4, Claude, Gemini for writing, Midjourney & DALL-E for visuals.
•    Data & performance Insights: AI-powered trend analysis and campaign strategy suggestions.
•    Why it matters: AI inside ad platforms is limited—external tools give you more control and flexibility.

3) Connecting AI Tools for a Smarter Workflow

AI is useful, but only if it works with your specific needs:

•    Custom GPTs & NotebookLM: Training AI to generate brand-aligned ad content.
•    Structured AI Workflows: Creating repeatable AI-driven processes for scalable campaign management.
•    Real-world use cases: Using AI for faster testing, ad variations, and audience insights.

4) Automating AI for PPC Efficiency

How to let AI handle the repetitive work, while keeping control:

•    Make.com, Zapier & n8n: Automate ad creation, bid adjustments, and budget allocation.
•    Trigger-based AI adjustments: Set up rules to optimize ads in real time.
•    Automated reporting: AI-generated insights to improve campaign performance without manual tracking.

5) The Next Step: Full Data Ownership & Custom AI Models

Relying on external AI tools means giving away control. The future is owning your AI:

•    Centralizing data: Structuring campaign data for better AI-driven insights.
•    Building custom AI Models: Using private LLMs trained on your business data.
•    Why it matters: Stop depending on third-party AI—own your insights and strategy.