Have you considered that your agency’s biggest growth opportunity might be hiding in the simplest place, the moment a prospect reads your reviews? Could the most powerful conversion lever be the one almost every business overlooks?
In this episode of The Agency Blueprint Podcast, I’m joined by George Sweatlitz to explore how AI can transform one of the most overlooked conversion levers in modern business: review responses. George is an operator-turned-builder who knows what it takes to solve problems at scale. He led strategy at Sarah Lee, earned his MBA from Harvard, and later ran a 220-location business where he saw firsthand how challenging it is to deliver consistent results across hundreds of touchpoints.
Listen in to learn how traditional review-management tools fail by producing repetitive, shallow, or inauthentic replies that actually lower consumer trust. You will also learn how the right AI systems can raise conversion rates, strengthen brand trust, and allow teams to focus on high-ROI creative work rather than repetitive tasks.
Key Questions:
- [08:55] What makes a problem a good fit for AI?
- [11:06] Are you missing out on creative opportunities inside “boring” tasks like review management?
- [14:18] How did you think about utilizing AI to actually deliver a better output than what humans would have been able to do consistently?
- [18:57] What guardrails do you need to set so AI enhances your brand instead of creating the uncanny-valley effect?
What You’ll Discover:
- [01:48] George on why most businesses lose customers at the review stage, even when all their other marketing touchpoints are strong.
- [04:39] The evolution of review responses, plus the “fact library” system — a structured, brand-controlled way to make AI responses authentic, relevant, and deeply useful.
- [07:30] Why reviews matter more than websites and why brands must actively engage instead of letting two strangers talk.
- [09:13] Why breaking big problems into solvable micro-components enables AI to outperform humans in specific tasks.
- [12:08] How review responses can become a creative conversion tool and not just an administrative task.
- [14:37] The ‘uncanny valley’ problem of AI – why overly emotional or human-like AI responses often feel disingenuous.
- [19:31] How the fact-library model evolved from simple if-then logic to multi-layered reasoning as models improved.
- [22:28] He explains the importance of repeatability and predictable performance before scaling.
- [23:59] Exploring new innovations, such as using AI to personalize review-request messages and improve conversion rates.
Connect with George: