This week, Sarah and Annette break down a simple but powerful strategy every host should be using to stay competitive: analyzing your comp set the same way professional revenue managers do—without spending thousands on data tools.

Inside the episode, they walk you through a three-step workflow for using ChatGPT to read, synthesize, and analyze your competitors’ guest reviews so you can understand what travelers actually value, what’s frustrating them, and where you can immediately stand out.

But before the AI magic, they start by defining what a comp set really is—and why most hosts get this part wrong. If you feel like your property has “no competitors,” this episode will challenge that thinking in a way that makes your marketing sharper and your operations more profitable.

They also highlight one listener property, Snow Place Like Home, and walk through their smart paid marketing strategy using regional travel publications.

Inside the episode you’ll learn:

• What a competitive set actually is (and why 90 percent of hosts build it incorrectly)

• How OTAs decide which listings you compete with

• Why relying on intuition instead of data limits your revenue potential

• A step-by-step workflow to extract and analyze 50–100 competitor reviews using ChatGPT

• How to identify what guests consistently love, dislike, or wish was different

• How to use review language to improve your listing copy and boost conversions

• How to prioritize amenity upgrades based on real demand

• How to refine your brand positioning using insights from your comp set

• Why this AI-powered review analysis is like getting a free market research report

• How to use your own reviews to stay ahead of guest expectations

This is a practical, repeatable workflow you can implement today—and revisit every quarter—to stay sharp in your market without expensive consultants, tools, or guesswork.

Mentioned in this episode:

Minoan | Visit MinoanExperience.com and tell them TFV sent you!