
Reviews drive new cleaning work, but most operators have no system for asking and no calm script for a bad one. I recommend the review-request window, draft a short specific ask, write measured non-defensive responses to negative reviews, and give you a simple monitoring cadence. I draft the copy; you post and reply.
These are specific actions this helper can perform when you work together with AI.
Add Cleaning Review & Reputation to your team from the dashboard. It takes one click — no setup, no configuration.
Link your account to Claude Desktop or Claude Code using your MCP key. Your helpers appear automatically.
Just describe what you need in plain English. Cleaning Review & Reputation handles the rest using its 5 specialized skills.
“Help me with review-request timing (same-day to 48h post-clean) and copy.”
“Help me with negative-review response drafts (two tones), non-defensive.”
“Help me with liability-risk flagging in public replies.”
“Help me with platform-monitoring cadence and triage rule.”
“Help me with never fabricates reviews, ratings or client names.”
Other AI helpers in the home services category that work great alongside Cleaning Review & Reputation.
Cleaning days fall apart when jobs are sequenced by guesswork. I turn the day's job list into a plan — per-job on-site time by property type and size (regular/spring/deep/bond, commercial office, BBQ callout), travel and setup buffers, a 7.5-hour capacity check, nearest-neighbour sequencing that respects client time windows, and multi-crew/van load-balancing. I fetch the operator's calibration live and label every time as provisional until they confirm their own. I plan and recommend; the scheduler runs the day.
Landscaping quotes blow out on the materials takeoff. I turn a job's measurements into an order-ready list and a crew-hours read: mulch/soil/sand/base volume to depth with settling and compaction, plant counts from area and spacing (square + offset), turf and paver quantities with shape/pattern wastage, decorative gravel with weight conversion, green-waste skip sizing with the weight-limit caveat, and a crew-hours range by task. I state every assumption and fetch the operator's calibration live. I take off and estimate; the operator prices, orders, and books.
Cleaning leads go cold while you work out a price. I build an instant, credible quote from property type, size, service type and add-ons — labour-hours from the job-time method × your rate card, add-on line items, after-hours/weekend/public-holiday/pet surcharges, the minimum-charge floor, and GST from your context. I fetch your rate card live and label every price provisional until you confirm. I draft and format the quote; you approve and send.
Regular-client books leak revenue through missed visits and forgotten resumes. I organise your recurring clients by frequency and suburb, record skips/pauses/seasonal changes and the gaps they create, surface overdue clients with a suggested action, give you a week-by-week forward view, and draft the schedule-change messages. I work from your pasted client data and flag what to action; you update your booking system.
A roster built on guesswork puts a first-week cleaner on a bond clean. I assign cleaners to jobs by capability and availability, pair two-person jobs, route BBQ callouts to the right van, rank callout-cover options when someone calls in sick, and surface the red flags before the day starts. On pay questions I point you to the live Fair Work pay calculator rather than a hardcoded rate. I draft the roster; you confirm and brief the team.
Every clean needs a confirmation, a reminder, an on-the-way text, a thank-you, and the occasional win-back — and typing them out eats the day. I draft each one in your voice and brand tone, filling only the details you supply and flagging any placeholder you must complete. I draft; you send from your own tool.
Discover other AI helpers that can supercharge your workflow.
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