Airbnb’s “blind” review system has rules on paper, and consequences in real life.

In this episode, we break down the 14-day window, what to treat as your real timer, and when waiting actually helps. You’ll get simple timing rules, behavior-based review language, and a documentation habit that keeps you ready for disputes.

The goal: honest reviews that feel routine, not risky.

Key Takeaways:

✅ Use the first “leave a review” email as your true start time.

✅ Match your stars, text, and “would host again” so nothing conflicts.

✅ Write reviews as behaviors + impact, not personality judgments.

✅ Keep evidence on-platform so support sees the full context fast.

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

Blog: Airbnb Guest Review Strategy to Protect Your Rating 👉https://blog.tokeet.com/airbnb-guest-review-strategy/

Unfair guest reviews can hit your rating and your reputation, even when you did everything right.

In this episode, we break down a 7-rule playbook for responding without sounding defensive.

You’ll learn when to reply, what to correct, and how to keep it short so future guests trust your side of the story. We also cover when to escalate a review to the platform and how to prevent repeat situations.

Key Takeaways:

✅ Wait before replying so your tone stays neutral

✅ Correct only 1–3 key facts future guests need.

✅ Close with what you did or changed—briefly

✅ Use templates and a unified inbox to keep replies consistent

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

Blog: Unfair Guest Reviews? 7 Rules That Save Your Listing 👉

https://blog.tokeet.com/unfair-guest-reviews/

Missed Airbnb reviews rarely happen on purpose. They slip through during busy turnover weeks and quietly impact trust, rankings, and conversions.

In this episode, we break down how review automation works, where it makes sense, and where manual control still matters. The goal is consistency without losing judgment.

Key Takeaways:

✅ Why missed reviews hurt visibility more than most hosts expect

✅ Which stays are safe to automate, and which are not

✅ How templates keep reviews consistent and on-brand

✅ Where to draw the line between automation and manual control

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

Blog: Airbnb review automation: 5 steps to never miss a guest review 👉

https://blog.tokeet.com/airbnb-review-automation/

A guest with a 3-star average requests to book, and the platform makes “no” feel costly.

This episode breaks down a simple playbook to handle risk-based requests without getting pulled into long threads. You’ll learn how to decline neutrally, document fast, and use calendar controls to stop repeat requests. We also cover how to build an evidence packet if a guest keeps pushing.

Key Takeaways:

✅ Use one neutral decline template and keep it consistent

✅ Screenshot rating + history immediately and log the thread

✅ Shift from conversation to calendar controls to end repeat requests

✅ Build an evidence packet before escalating to support

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

Guests rate like hotels. Platforms grade like math, and that mismatch creates review drama.

In this episode, we break down why rating “explainer” signs can backfire and quietly reduce reviews.

You’ll get a simple 3-step communication workflow to catch issues early: expectations, a 24-hour check-in, and a private feedback close. We also cover how a unified inbox (like AdvanceCM) helps teams run this consistently across channels.

Key Takeaways:

✅ Rating lectures create pressure; pressure lowers trust and review volume

✅ The 24-hour check-in is the highest-impact moment to intercept issues

✅ Set expectations early to prevent “surprise” 4-star reviews tied to quirks

✅ Close with private feedback so minor notes don’t become public warnings

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

Early checkout requests can turn into last-minute refund debates fast.

In this episode, we break down a 5-step policy you can set once and apply consistently. We cover baseline rules, exceptions, guest-facing wording, and what to say when a guest pushes back. You’ll also hear how to turn the policy into a simple workflow so you’re not rewriting your stance in every chat.

Key Takeaways:

✅ Choose a baseline rule: strict, rebook-to-refund, or future credit

✅ Define exceptions early and set a travel insurance stance

✅ Use plain-language wording guests see before booking

✅ Keep short scripts ready for common scenarios, including review pressure

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/Blog: Early Checkout Refund Policy for Hosts in 5 Clear Steps 👉https://blog.tokeet.com/early-checkout-refund-policy-hosts/

A guest mentions they’re bringing a dog, yet the reservation shows no pet. That’s not a small fee slip; it’s a clarity, protection, and consistency issue.

In this episode, we share the simple Confirm → Request → Document workflow that removes awkward back-and-forth and keeps everything clean inside the platform thread. You’ll leave with practical scripts and timing so pet stays stay standardized.

✅ A missing pet fee is a process problem, not a pricing one

✅ Use Confirm → Request → Document to keep enforcement consistent

✅ Address pet disclosures immediately, not at check-in week

✅ Keep all pet rules + fee approval inside the platform thread

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

A single bug video can turn into a refund demand fast.

In this episode, we break down a real host response that shut down an attempted bed bug scam using refund-and-exit, maintenance proof, and platform-first documentation.

You’ll learn how to spot the dynamics, force a clear choice, and keep your review position protected. Get the full checklist in the blog post, then hear the full breakdown in the podcast episode.

Key Takeaways:

✅ Use refund-and-exit to force a real decision (leave + refund, or stay + no leverage)

✅ Message the booker and recap everything on-platform

✅ Build maintenance-proof (photos, timestamps, inspection notes) before any claim

✅ Report to support first with a calm timeline and your written offer

Related Links:Company: https://www.tokeet.com/Blogs: https://www.tokeet.com/blog/Blog: Bed Bug Scam in Short-Term Rentals: Host Survival Guide 2026 👉https://blog.tokeet.com/bed-bug-scam-in-short-term-rentals-2026/

A signed guest agreement can still lose when an OTA steps in.

In this episode, we break down why platform policies often outweigh your paperwork, and what dispute teams actually look for.

You’ll get a simple, repeatable workflow to build a defensible timeline with time-stamped condition proof, fast in-channel responses, and logged repairs. Walk away with a practical checklist you can run every stay.

Key Takeaways:

✅ OTAs prioritize platform policy and evidence over contract language

✅ Time-stamped baseline documentation sets your dispute foundation

✅ Fast, visible replies reduce escalation and refund risk

✅ Logged fixes (report → assign → confirm) create a defensible timeline

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/

High decline rates often come from fear-driven, inconsistent screening, not “bad guests.”

In this episode, we break down a Green/Yellow/Red rubric that replaces gut feel with clear, behavior-based decision rules.

You’ll learn the 3 standard questions to ask, the red flags that warrant an auto-decline, and what to confirm in writing to prevent disputes. Plus, how to run the system consistently across a team.

Key Takeaways:

✅ Decline rates spike when screening is inconsistent and mood-driven

✅ Use Green/Yellow/Red to standardize accept, clarify, or decline decisions

✅ Ask the same 3 questions to reduce bias and speed up screening

✅ Confirm key expectations in writing to reduce conflict and protect reviews

Related Links:

Company: https://www.tokeet.com/

Blogs: https://www.tokeet.com/blog/