AI Videos

AI Copywriting For Google Ads and Meta Ads

The video walks viewers through a repeatable workflow for using generative AI to produce Google Ads and Meta ad copy. The host demonstrates how to pull text from a client’s landing page, feed it into a prompt, and generate performance‑max assets, while also creating a “clawed” project that captures goals, ad specs, and brand voice. Key steps include prompting Google Gemini for best‑practice guidelines, then handing those instructions to Claude (or another LLM) to write 20 short Google headlines, seven long headlines, and Meta primary text. The presenter stresses the importance of specifying format details—character limits, title case, and asset counts—to avoid common AI quirks such as sentence‑case output. He also shows how to refine prompts with keyword lists for individual ad groups, turning a single page scrape into dozens of tailored ads. Using a low‑country physical‑therapy clinic as a case study, the host highlights concrete results: AI‑generated headlines like “Neck Pain Relief Experts” and “Treat Neck Pain Without Drugs,” along with Meta primary texts that ask probing questions about sleep disruption. He notes that while AI can produce high‑performing copy, human review remains essential to catch tone issues and ensure brand consistency. The broader implication is that agencies can dramatically accelerate ad‑copy production, especially for multi‑service medical practices, by automating the first draft and then iterating with human insight. This hybrid approach enables rapid A/B testing across large asset pools, letting Google and Meta’s algorithms surface the most effective combinations without sacrificing brand voice.