Podcast Summary: "This AI Workflow Replaces 10 Hours of Ad Research"
Podcast: Marketing Against The Grain
Air Date: February 12, 2026
Host: Kipp Bodnar (A)
Guest: Mike Futilla (B), AI automation expert
Episode Overview
This episode explores how AI-powered workflows are revolutionizing manual marketing research—specifically for social media ad trends—by automating a process that has traditionally taken hours. Guest expert Mike Futilla presents an in-depth, practical demo of the custom tools he's built for E-commerce brands and agencies, showing how marketers can leverage AI to analyze TikTok trends, generate ad ideas, and produce creative briefs in minutes. The conversation conveys actionable insights for teams eager to scale their output, reduce repetitive work, and understand the frontier between automation and human creativity in ad content creation.
Key Discussion Points & Insights
1. The Pain of Manual Ad Research & The Rise of AI Automation
- Traditional Approach: Marketers and agencies have been manually scrolling through platforms like TikTok and Facebook to spot trends, hooks, and successful creatives—a slow, repetitive, and subjective process (00:53).
- AI Intervention: Mike has built a workflow to automate gathering, analyzing, and distilling insights from trending social media content. This allows marketers to "tap into those angles, those hooks, those topics" without hours of manual work (03:12–03:30).
"Can we build a workflow... where instead of having an employee literally go out on TikTok and kind of scroll the feed and find trending videos and take notes, can we automate some of that process?"
— Mike Futilla (02:07)
2. Demo: Automated TikTok Trend Scraper & Analyzer
[Demo starts 04:02]
- How It Works: Users enter a keyword (e.g., 'gut health'), select a date range, and number of results. The tool scrapes TikTok using Apify API, pulling real-time data: views, likes, comments, etc. (04:02–04:53).
- AI Analysis: With Gemini, marketers analyze video transcripts and metadata to reveal:
- Visual hooks
- Messaging/angle
- Funnel stage
- Pain points addressed
- Customizable Output: Marketers can prompt Gemini to extract exactly the elements relevant to their workflow (06:26).
Notable Example:
For a gut health video, the AI highlights the visual hook (acne-prone skin close-up), main theme, and identifies user sentiment from comments—key for competitive research and content strategy (06:26).
3. Scalable Expertise: Turning Process into Playbooks (07:55–09:31)
- Codifying Best Practice: Mike’s approach is not just automating research, but baking in expert judgment—what to look for, why it matters—into the AI prompts.
- Production Line: The output is "more briefs so they can create more ads... based on real data." The brief synthesizes campaign objectives, target audience, pain points, and key messages from top-performing trends (11:13).
"It's a very point-of-view-driven research process... You can basically scale what you think is the optimal process just for you."
— Kipp Bodnar (07:55)
4. From Insights to Ad Creative: End-to-End Automation (09:31–13:37)
- Creative Brief Generation: The workflow builds a tailored ad brief in minutes, incorporating:
- Brand bible (voice, values, audience)
- Competitive trend data
- Pain points and proven angles
- Campaign template
- Accelerating Output: The duo estimates that teams reach 80% of a finalized brief almost instantly, meaning more time for human finalization and strategy (12:23).
"It's the team members working with AI as kind of like a sidekick or a side colleague... But just equipping your team with certain tools or workflows that can just make their job easier..."
— Mike Futilla (12:36)
5. Where AI Works Best (and Where it Doesn't Yet) (15:51–19:54)
- Proven Zones for AI Automation:
- Research
- Brief/Early draft-writing
- Content outlines
- Realistic Limits: Fully automating truly creative tasks (like high-quality custom video ads) still requires significant human involvement and iteration.
- Warning: "You can set up a system that will automate AI video, but is that output going to be good? Is it going to be a good reflection on your brand? Right now, the answer ... is no." (17:40)
"AI is really good at getting you to the mean... In marketing, it's about deviating from the mean and how you actually stand out. And that's where humans are so, so important."
— Kipp Bodnar (18:09)
6. AI Agents, Automation, and Building Custom Solutions (20:17–25:48)
- AI Agent Hype: Many AI "agents" are hyped but lack practical business value; most current "workflow" tools are deterministic and step-based—not truly autonomous (21:45).
- Tools Discussed:
- N8N: Powerful but has a steep learning curve; best for tech-savvy builders.
- Claude Code / Vibe Coding: Lower barrier; marketers can "vibe code" with LLM help even without coding background.
- Takeaway: Start simple, automate the repetitive parts, and evolve solutions as needed (24:40–25:48).
"If you're just a marketer and you're like, hey, I'm just sick of doing a bunch of manual stuff... Let me vibe code a tool in Claude."
— Kipp Bodnar (24:40)
7. Leveraging LLMs for Learning and Building
- Real-world learning: Mike describes using AI (Claude, ChatGPT) as a coding mentor, learning to build step by step even as a non-technical user (22:51–24:13).
- Methods for Automating Tedious Processes: Suggests literally video-recording yourself doing a boring task and asking Gemini to analyze and suggest automations (25:48–26:29).
Notable Quotes & Memorable Moments
- "AI will do the research for you. No more manual scrolling for hooks and angles." — Kipp Bodnar (05:58)
- "With a little bit of practice with Claude, you can definitely do it." — Mike Futilla (28:02)
- "Claude can help you build in Claude. AI, in terms of this, has been the best teacher." — Mike Futilla (28:02)
- On human creativity:
"In marketing, it's about deviating from the mean and how you actually stand out. And that’s where humans are so, so important." — Kipp Bodnar (18:09) - Gemini’s Surprising Feature:
"Gemini can consume videos up to an hour long. ... You could literally just record yourself doing something you hate... and ask Gemini what you can do to not have to do that thing you hate anymore."
— Kipp Bodnar (25:48–26:14)
Timestamps for Key Segments
- Manual Research vs. AI Automation: 00:53–03:30
- TikTok Scraper Tool Demo: 04:02–05:58
- AI-Powered Analysis & Brief Creation: 06:26–11:47
- From Trend to Creative Brief in Minutes: 09:31–12:36
- Limits of AI in Creative Ad Generation: 15:51–19:54
- AI Agents vs. Workflows; Building for Non-Programmers: 20:17–25:48
- Recording Tedious Workflows for Gemini Automation: 25:48–26:29
- Advice for Marketers Starting in AI Automation: 27:57–29:00
Closing Advice for Marketers
Mike Futilla’s tips for beginners:
- Start with simple LLM-powered building tools (like Claude Code or Codex), not technical workflow tools like N8N.
- Let the AI act as your "coding buddy" and teacher.
- Begin by automating repetitive, text-based tasks that take up your time.
- Build a small solution and iterate—don’t aim to automate everything from the start.
Tone and Takeaways
The conversation is practical and optimistic, stressing empowerment: with today’s AI tooling, even non-coders can build highly effective marketing automations. But both hosts remind listeners that human judgment and creativity remain vital—especially in “above average” creative work, which still resists full automation. AI is best viewed as a powerful “sidekick” to help marketers focus time and energy on what matters most.
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End of Summary
