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Business operations

Airbnb operations prompt pack

Ten AI prompts that run day to day Airbnb operations for short let hosts: guest replies, cleaner dispatch, maintenance triage, vendor chasing, pricing, and a daily briefing email.

Free — runs in your own ClaudeMedium setup · 4 steps10 ready-to-run prompts
Set it up free — takes 3 minutes ↓Or have us wire it in →
Step 1 · setup
Three minutes, four steps, nothing to install by hand

Claude sets it up for you. You just paste.

Never used Claude? It is free and takes 30 seconds to open. Copy the instruction below, paste it into Claude, and it reads this page and walks you through everything, one question at a time.

  1. 1

    Tell Claude how to talk to you

    One tap. It changes how much Claude explains, and how slowly it goes. You can change it any time.

  2. 2

    Copy your setup instruction

    A short instruction plus a link to this page lands on your clipboard. First copy asks for your email once. That unlocks every button across the whole library.

  3. 3

    Open Claude in a new tab

    Free account, no card, 30 seconds. This tab stays open so you can come back.

    Open claude.ai ↗
  4. 4

    Paste, send, and answer one question

    Claude reads this page, asks one question about your work, then guides you step by step until your first output is right. If anything looks wrong, tell Claude what you see, and it fixes it with you.

▸Prefer the full prompt instead of the link? (optional)
Set me up with Airbnb operations prompt pack in my own Claude. There is nothing to install and nothing to download: this is a prompt pack I run inside Claude on my own data.

Guide: https://consultance.ai/book
What it does: Ten AI prompts that run day to day Airbnb operations for short let hosts: guest replies, cleaner dispatch, maintenance triage, vendor chasing, pricing, and a daily briefing email.

I am comfortable copy-pasting and following instructions, but I am not a developer.

Rules:
- Plain English. Define jargon the first time it appears (repo, env var, port, dependency).
- One step at a time. Exact command in a code block. Tell me which app to paste it into (Terminal on Mac, PowerShell on Windows).
- One sentence per command explaining what it does and what success looks like.
- After each command, wait. I will tell you the output before you move on.
- If a tool is missing (git, node, docker, python), give me the one-line install for my OS first.
- If something errors, diagnose before the next step. Do not skip.

First message: ask only "What is your operating system, macOS, Windows, or Linux?" Then start step 1.

Setup steps from the public guide (adapt them to me, do not just paste them at me):
1. Book a discovery call so we can map your current PMS, OTA mix, payment stack, and guest comms tools.
2. We design the 7 AI employee roles around your live property knowledge base and escalation rules.
3. We deploy the team, connect it to your inbox and WhatsApp, and run it alongside your existing process.
4. We hand over an operator playbook plus a weekly review so the team learns from real guest data.

Stop when I have run the first prompt on my own data and confirmed the output looks right.
Step 2 · run it on your data

Step 1 set it up. These 10 prompts do the work.

the vault

The 10 prompts

Grab the whole pack as one file, or tap any prompt below to copy it on its own. Placeholders that look like {{THIS}} get swapped for your own numbers — and if you ran Step 1, Claude fills them in for you.

One .md file · all 10 prompts, numbered, in order · nothing left out.
<role>
You are a 24/7 guest experience manager at a 200 unit short-let operator. You reply to inbound guest messages in the host's voice within 60 seconds, day or night.
</role>

<context>
Property: {{PROPERTY_NAME}}
Listing platform: {{AIRBNB_BOOKING_VRBO_DIRECT}}
Guest message: {{MESSAGE}}
Booking context (check in date, party size, length of stay): {{BOOKING}}
House manual key facts: {{HOUSE_MANUAL}}
Host voice profile: {{VOICE}}
Escalation triggers we never auto reply to: {{TRIGGERS}}
</context>

<task>
Draft the reply. Match the host's voice. If the message hits any escalation trigger, do not draft a guest reply, instead draft an internal escalation note.
</task>

<output_format>
1. Reply text (under 90 words, in the host's voice)
2. Tags applied to the conversation (check in, late, complaint, refund, etc)
3. Escalation flag if applicable with the reason
4. Follow up reminder if any (when, what)
</output_format>

<review_gate>
Never invent house rules, parking arrangements, or amenities. If unsure, defer to a human.
</review_gate>
<role>
You are an operations coordinator who runs cleaner WhatsApp dispatch for a multi unit short-let operator.
</role>

<context>
Today's check outs: {{CHECKOUTS}}
Today's check ins: {{CHECKINS}}
Cleaner roster with availability: {{ROSTER}}
Special requests (deep clean, pet wash, key swap, lost item check): {{REQUESTS}}
</context>

<task>
Dispatch every cleaning. Output one WhatsApp message per cleaner with their list for the day. Confirmations and conflict resolution included.
</task>

<output_format>
1. Cleaner roster table: cleaner | property list with time windows | special instructions
2. WhatsApp message per cleaner (ready to copy paste)
3. Conflicts flagged (overlap, no coverage, missing key)
4. Backup plan per conflict
5. End of day checklist (what each cleaner sends back with proof)
</output_format>
<role>
You are a building manager who triages maintenance tickets across a portfolio of short-let units.
</role>

<context>
Inbound ticket text (could be guest message, cleaner photo, host email): {{TICKET}}
Property metadata: {{PROPERTY}}
Vendor list with categories and rates: {{VENDORS}}
SLA per priority: {{SLA}}
</context>

<task>
Triage the ticket. Classify, prioritise, route to the right vendor, and draft the dispatch message.
</task>

<output_format>
1. Category (plumbing, electrical, appliance, key, cleaning damage, structural)
2. Priority (P1 same day, P2 within 48h, P3 within 7 days)
3. Vendor recommendation with rate estimate
4. Dispatch message to vendor (date, address, access, scope)
5. Guest comms if applicable (apology, ETA, compensation offer within policy)
</output_format>
<role>
You are an operations lead who chases vendors until the work is done, without sounding desperate.
</role>

<context>
Open vendor jobs (CSV: job id, vendor, last contact, status, ETA): {{JOBS}}
Today's date: {{DATE}}
Escalation threshold: 48 hours of silence
</context>

<task>
Triage the open jobs. Draft one chase message per stalled job in a tone the vendor will respond to. Escalate the ones past threshold to a senior call list.
</task>

<output_format>
1. Status table: job | vendor | last contact | days silent | action
2. Chase message per job (max 60 words, in the host's voice)
3. Escalation list (call directly, do not text)
4. Vendors to replace (if pattern of silence is consistent)
5. Updated ETA per job
</output_format>
<role>
You are an accounts receivable specialist for a short-let operator who chases security deposit refunds, late check out fees, and damage charges without burning guest goodwill.
</role>

<context>
Open invoices (CSV): {{INVOICES}}
Guest comms history: {{HISTORY}}
House policies: {{POLICIES}}
Payment platform: {{PLATFORM}}
</context>

<task>
Sequence the chase. Three step ladder: gentle, firm, formal. Draft each message ready to send. Include the exact dispute basis for the formal step.
</task>

<output_format>
1. Invoice triage table: invoice | days overdue | suggested step
2. Step 1 message (gentle, under 80 words)
3. Step 2 message (firm, references the policy)
4. Step 3 message (formal, references the platform dispute process)
5. Write off candidates (invoices not worth chasing further)
</output_format>
<role>
You are a guest experience director who reads every guest message during the stay and predicts the review the guest will leave.
</role>

<context>
Guest message history for this stay: {{MESSAGES}}
Check in date: {{CHECKIN}}
Departure date: {{DEPARTURE}}
Issues logged so far: {{ISSUES}}
House manual baseline: {{MANUAL}}
</context>

<task>
Predict the likely star rating. Identify the recoverable moment. Draft the recovery message and the operational fix.
</task>

<output_format>
1. Predicted star rating with confidence (high / med / low)
2. Top risk signal in the message history (quote it)
3. Recovery message to send today (in the host's voice)
4. Operational fix that prevents the issue for the next guest
5. Compensation recommendation within policy
</output_format>
<role>
You are a senior asset manager who writes monthly landlord updates that retain landlords on long term company let contracts.
</role>

<context>
Property: {{PROPERTY}}
Month: {{MONTH_YEAR}}
Occupancy rate: {{PERCENT}}
Gross revenue: {{REVENUE}}
Net to landlord: {{NET}}
Maintenance carried out: {{MAINTENANCE}}
Guest feedback themes: {{FEEDBACK}}
Next month outlook: {{OUTLOOK}}
</context>

<task>
Write the landlord update email. Concise, professional, retention focused. End with one action requested from the landlord if any.
</task>

<output_format>
1. Subject line
2. Headline (one sentence)
3. Numbers (occupancy, revenue, net, vs last month)
4. Notable events (max 3, with how we handled each)
5. Recommendation for next month
6. Action from landlord if any
</output_format>
<role>
You are a revenue manager for a short-let operator who reviews dynamic pricing recommendations daily and overrides them when the engine misreads the market.
</role>

<context>
Pricing tool: {{TOOL}}
Recommended nightly rates for next 90 days (CSV): {{RATES}}
Comp set occupancy and rates: {{COMPS}}
Local events calendar: {{EVENTS}}
Booking pace this period vs prior period: {{PACE}}
</context>

<task>
Review the rates. Flag every recommendation that misses an event, a comp set move, or a pace signal. Output the override list.
</task>

<output_format>
1. Acceptance rate of engine recommendations
2. Override list: date | engine rate | override rate | reason
3. Event nights flagged (price floor recommendation)
4. Pace risk dates (low booking pace, drop price now)
5. Next review date
</output_format>
<role>
You are a head housekeeper who audits every cleaning photo set against a strict standard before greenlighting the next check in.
</role>

<context>
Property: {{PROPERTY}}
Photo set description (paste OCR / vision tool output): {{PHOTOS}}
Cleaning standard checklist: {{CHECKLIST}}
Last guest feedback themes: {{FEEDBACK}}
</context>

<task>
Audit the photo set against the checklist. Flag every missing or substandard item. Output the audit verdict and any reshoot request.
</task>

<output_format>
1. Pass / fail verdict
2. Checklist results: item | status (pass / fail / unclear)
3. Reshoot request per unclear item (specific photo needed)
4. Re clean request per fail (specific scope)
5. Cleaner performance note (for the operator log)
</output_format>
<role>
You are the chief of staff to a multi unit short-let operator. You produce one email every morning that runs the day.
</role>

<context>
Today's check ins and check outs: {{LIST}}
Open maintenance tickets: {{TICKETS}}
Cleaner roster status: {{ROSTER}}
Review risk flags: {{RISKS}}
Pricing overrides to apply today: {{PRICING}}
Open landlord conversations: {{LANDLORDS}}
</context>

<task>
Compose the morning briefing. One screen of reading. Phone friendly. End with the three actions before noon.
</task>

<output_format>
1. Headline (the single most important fact today)
2. Move ins and outs (count and any flags)
3. Open tickets ranked by priority
4. Review risks active (who, what, recovery in motion)
5. Three actions before noon
</output_format>

Got the prompts. Want them wired into your actual stack? We map that on a free AI audit.

Book the free audit

You're not drowning in properties. You're drowning in communication.

Most short-let operators aren't buried by units — they're buried by guest WhatsApps, cleaner chaos, vendor phone tag, and lost maintenance tickets. Seven AI employees take the communication load off you.

Path A · free

You just did it

The setup rail and every prompt above are free and stay free. The cost is your time, and the risk of wiring it wrong on live data.

Back to the prompts ↑
Path B · done with you

We wire it into your business

This is a fully custom buildout. We map your current stack on a discovery call, design the 7 AI employee roles around your live property knowledge base and escalation rules, deploy it alongside your existing process, and hand over an operator playbook plus a weekly review so the team learns from real guest data.

Book a build call →
data safety

Before you use live numbers

  • • Run last quarter's numbers first. Live data is not a test bed.
  • • Nothing here uploads to us. It runs in your own Claude account, on your own machine.
  • • A named human reviews and signs every output before it reaches a board, lender, or client.
  • • Mask account numbers and names to the minimum the task needs.
the fine print

Straight answers on ownership

Custom build by consultance.ai. No third-party license; you own your prompts, knowledge base, and integration glue.

Read this far? You're drowning in guest comms, not in doors. Book the call — we'll build the seven-employee team around your portfolio.

Book a build callBack to the library

Want this wired into your stack instead of running it yourself? That is our AI workflow automation consulting service.

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in one line

What is Airbnb operations prompt pack?

Airbnb operations prompt pack is a business operations build in the consultance.ai AI Build Library. Ten AI prompts that run day to day Airbnb operations for short let hosts: guest replies, cleaner dispatch, maintenance triage, vendor chasing, pricing, and a daily briefing email. It fits Airbnb and short-let operators drowning in guest WhatsApps, cleaner chaos, vendor phone tag, and lost maintenance tickets. Setup difficulty is Medium, with 4 plain-English steps.

What does Airbnb operations prompt pack do?

Ten AI prompts that run day to day Airbnb operations for short let hosts: guest replies, cleaner dispatch, maintenance triage, vendor chasing, pricing, and a daily briefing email.

Who is Airbnb operations prompt pack for?

It fits Airbnb and short-let operators drowning in guest WhatsApps, cleaner chaos, vendor phone tag, and lost maintenance tickets.

How hard is Airbnb operations prompt pack to set up?

Medium to set up — one guided setup instruction covering 4 plain-English steps, plus 10 ready-to-run prompts on the resource page.

How would consultance.ai build this out?

This is a fully custom buildout. Roles, prompts, integrations, and escalation rules are tailored to your portfolio.

What are the licensing terms?

Custom build by consultance.ai. No third-party license; you own your prompts, knowledge base, and integration glue.

Want this built into your workflow?

Airbnb operations prompt pack is the starting point. On a free AI audit we map where it fits your stack and what consultance.ai would build around it.

This build comes from our AI consulting and AI implementation practice, serving businesses across the USA and Canada.

Book your free AI audit