RightResponse AI in the Media
Podcasts
Smarter Review Engagement: Scaling Reputation Management with AI
What You’ll Learn:
- Frontline recognition that compounds: how naming the actual staffer in requests and responses boosts morale.
- Simple workflows to route staff mentions into weekly highlights, so public praise becomes a culture engine.
- Kill the blank page for reviewers: build emotion-rich, CRM-driven requests that prefill context.
How AI is Transforming Marketing and Market Research
What You’ll Learn:
- Real vs fake personalization: how to use the data you actually own to make review requests convert.
- Beyond NPS: a practical system for phrase-by-phrase, topic-level sentiment so managers know exactly what to fix now.
- Pricing for the AI era: how usage-based pricing unlocks experimentation while staying budget-predictable.
What You’ll Learn:
- How to kill cookie-cutter replies on rating-only reviews by building a rotating phrase library seamlessly integrated by AI.
- How to turn negatives into operational nudges: inject concrete logistics to convert readers, not just pacify reviewers.
- Competitive x-ray vision: run phrase-level sentiment and topics on rivals, then highlight differentiators inside your own responses.
What You’ll Learn:
- For banks and credit unions: balancing compliance with authentic, personalized responses, and why a human review layer still matters (privacy checks analagous to PHI detection and controls in healthcare).
- Unstructured vs structured text: what topic-level signals from free-text reviews reveal vs. what NPS surveys surface—when each wins, where each falls short, and how combining sources gives a truer picture.
- Get a sneak peek at the roadmap: automated AI onboarding, competitor‑analysis dashboards, and a single‑pane view of reviews, surveys, chat logs, and NPS.
Mastering Online Review Insights x Marketing Analytics
What You’ll Learn:
- The conversion flip: why review responses should be written for the next buyer reading reviews—not the original reviewer.
- Real personalization at scale: turn real fields (what they bought, a photo, why) into review requests that get written.
- A quick win you’re missing: optimize the 20–30 “Most relevant” Google reviews people see first, and what to change in those responses.
- How “micro-asks” and model-mixing beat mega-prompts (and keep AI from getting lazy) when you scale AI work.
Win Clients Before the First Meeting, with George Swetlitz
What You’ll Learn:
- Why your authority position is decided before you ever get a meeting
- The moment when reviews and responses become the “make or break” for customer conversion
- A behind-the-scenes look at big AI vs. little AI
- How reviews, competitor analysis, and the “recency effect” can future-proof your authority in pitches and client retention
What You’ll Learn:
- How AI-powered review responses can drive real customer engagement
- Why generic review templates are a costly marketing mistake
- Simple ways local businesses can rank higher without big budgets
- How to start using AI with small, manageable steps
What You’ll Learn:
- How local SEO, review responses, and Google Map rankings work together to drive growth
- Why responding to reviews is just as important as getting them
- How AI can personalize review requests and responses—without losing authenticity
- What agencies need to know about review gating, transparency, and building trust