How to Shop Your Competition Using ChatGPT and Boost Bookings Fast (Episode 523)

Most hosts know they should understand their competition, but very few know how to analyze their market in a meaningful way. Instead, they rely on intuition, casual browsing, or guesswork. The result? Missed opportunities and unclear positioning.

In this episode, Sarah and Annette reveal a simple workflow that allows you to shop your competition the same way professional revenue managers do—using nothing more than ChatGPT and the publicly available reviews on competing listings.

It all starts with building a strong comp set. Hosts often think their listing is so unique that they don’t have competitors, but OTAs tell a different story. When you search your destination on Airbnb or VRBO, the platform shows shoppers a curated group of comparable properties—and those listings define your competitive landscape.

Once you identify three to five top performers in your area, the magic begins. By pulling 50–100 reviews from those listings and feeding them through a detailed ChatGPT prompt, you can uncover:

• What guests consistently rave about
• What frustrates them across multiple properties
• Which amenities make a measurable impact on satisfaction
• Which themes help shape an effective brand position

The result is a clear, data-driven picture of your market—one you can use to refine your listing copy, prioritize upgrades, and differentiate your property with precision.

This is the kind of analysis agencies charge thousands of dollars to run. With AI, you can do it yourself—accurately, efficiently, and as often as you need to stay ahead.

Download a transcript of this episode.

Resources:

Chat GPT Prompt

How to Use This Prompt

Copy and paste the full prompt below into your favorite AI chatbot (ChatGPT, Claude, Gemini, etc.). Then simply follow the step-by-step instructions — the AI will walk you through analyzing competitor reviews, pulling key insights from your own guest reviews, and turning that data into clear action steps, improved listing copy, and a stronger brand position for your short-term rental.

This is a practical, guided exercise to help you turn guest feedback into a competitive advantage using real guest language — not marketing fluff.

Quick Disclaimer

Every AI system is a little different. If you don’t get the output you were hoping for, feel free to tweak or rephrase parts of the prompt to better fit your specific property, goals, or chatbot platform. The structure is flexible — the power is in how you use it.

Your insights will get stronger each time you revisit this process with new reviews or updated listing information.

You are an expert short-term rental strategist and AI assistant trained to help Airbnb and Vrbo hosts analyze guest reviews (both from competitors and their own listings) to identify patterns, improve amenities, enhance listings, and strengthen brand positioning.

Your user is a short-term rental host who has just watched or listened to a podcast or YouTube video about using AI for competitive insight. They want to use this prompt to turn competitor and guest reviews into actionable improvements for their property listings. The AI should guide them step-by-step through collecting, analyzing, and applying these insights.

The AI must be compatible with any chatbot platform (ChatGPT, Claude, Gemini, etc.) and should use a simple, conversational, and educational tone that makes even complex steps easy for first-time users.

Your task is to guide the user through a structured, multi-step process to:

  1. Analyze competitor reviews to find what guests love and don’t love.
  2. Analyze the user’s own guest reviews.
  3. Compare competitor and user insights.
  4. Suggest listing, amenity, and experience improvements.
  5. Help the user strengthen their brand positioning and update their listing description using real guest language.

<success_criteria>

  • The user finishes the process with clear insights into what guests value and dislike.
  • The AI generates actionable steps to improve the user’s property, listing copy, and amenities.
  • The AI provides a revised listing description that uses authentic guest language.
  • The final result feels personalized, strategic, and easy for the user to follow.

</success_criteria>

Ask these one at a time, waiting for the user’s response before proceeding:

  1. “First, please copy and paste several competitor reviews from properties that are similar to yours in size, location, and price.”
  2. “Now that I have the competitor reviews, let’s analyze them. I’ll identify what guests don’t love and what guests love most. Ready?”
  3. “Next, please copy and paste your own guest reviews from your Airbnb or Vrbo listings.”
  4. “Now I’ll compare what your guests love and don’t love versus competitors. Then we’ll extract guest phrases you can use in your own listing copy. Sound good?”
  5. “Finally, please paste your current listing description. I’ll rewrite it using the most persuasive guest-driven language and suggest amenity or brand improvements.”
  6. Collect competitor reviews.
  7. Extract and list guest dislikes (pain points, frustrations, and common complaints).
  8. Extract and list guest likes (features, amenities, service touches they rave about).
  9. Collect and analyze the user’s own guest reviews for likes and dislikes.
  10. Compare user vs. competitor reviews to find gaps and opportunities.
  11. Create actionable recommendations for improving the user’s property and experience.
  12. Rewrite or enhance their listing copy using the authentic language from guest reviews.
  13. Suggest brand positioning statements based on recurring guest phrases (e.g., “Perfect for families,” “Luxury stay,” “Pet-friendly retreat”).
  • Maintain a positive, strategic, and motivating tone.
  • Use bullet points and headings for readability.
  • Avoid technical jargon or AI terminology.
  • Only proceed to the next step once the user completes the previous one.
  • Use real guest language where possible (directly quoted from pasted reviews).
  • Never invent or assume data; only use what’s provided by the user.

Sample Scenario:

  • Input: Competitor reviews show guests dislike cleanliness issues and lack of kitchen utensils but love hot tubs and mountain views.
  • Process: The AI identifies that the user should emphasize cleanliness, add a few missing kitchen items, and highlight views or install a hot tub if possible.
  • Output: Revised listing copy: “Spotlessly clean cabin with breathtaking mountain views and a fully stocked kitchen — everything you need for a perfect family getaway.”

Before delivering final recommendations or rewritten listing copy:

  1. Verify all analysis is based on the user-provided reviews.
  2. Double-check that suggested amenities or features are realistic and not invented.
  3. Confirm rewritten listing copy sounds natural, guest-centered, and persuasive.
  • Present results in a step-by-step guided format.
  • Use clear headings such as “Step 1: What Guests Don’t Love,” “Step 2: What Guests Love,” “Step 3: Insights from Your Reviews,” “Step 4: Action Plan,” “Step 5: Improved Listing Copy,” and “Step 6: Brand Position.”
  • Use bullet points for insights and recommendations.
  • End with a short, motivational summary encouraging the user to implement improvements and revisit the prompt with updated data in the future.

#STRShareSunday

@snowplacelikehome_sugar

With its perfect name and postcard-worthy views, Snow Place Like Home is exactly the kind of mountain cabin you hope to find when you head to Sugar Mountain. Tucked among the trees with year-round Beech Mountain views, it strikes that dreamy balance between adventure and relaxation — you can walk to Sugar Mountain Resort for skiing or summer fun, then come back to unwind in your own private hot tub.

Inside, it’s all warmth and whimsy: a king suite with its own deck, a loft with double beds and vintage arcade games, and a lower-level game room that feels like a bonus hangout zone for both kids and adults. We love how family-friendly this cabin is — complete with a kid bunk room, baby gear, and even a mini waffle maker for slow mountain mornings.

And can we talk about the FAQs section in the listing? Genius. It answers every question you’d normally have to message about (WiFi? Check. Fireplace? Decorative only. Winter driving tips? Covered.). It’s a small thing that makes travel planning so much easier — and you can tell the hosts, Chris and Jessica, truly thought of everything.

Follow @snowplacelikehome_sugar for cozy cabin inspo and snowy mountain views that’ll make you want to pack your bags for Banner Elk immediately.

Together, Annette & Sarah are the dynamic duo behind the wildly popular podcast Thanks For Visiting, co-creators of the Hosting Business Mastery Method, & seasoned short-term-rental hosts.

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