Forum Discussion
As a cleaning company owner, we’ve absolutely started noticing this more too. Not so much with code requirements, but definitely around pricing expectations and scope comparisons.
You can almost instantly tell when a response came straight from ChatGPT because it reads super polished and starts comparing:
- hourly rates
- “industry averages”
- what “most cleaning companies include”
- employee wages vs pricing
- profit margin assumptions
- suggested frequencies
- “recommended” square-foot pricing
The hard part is the information is often partially true… but completely disconnected from the actual business realities of a specific company.
AI doesn’t know:
- local labor market conditions
- payroll taxes/workers comp
- drive time
- cancellations
- insurance costs
- quality standards
- employee retention issues
- overhead structure
- whether a home is lightly maintained or a disaster every visit
And honestly, I think AI sometimes creates the impression that cleaning is more standardized than it really is.
Two homes with the same square footage can be COMPLETELY different operationally.
What’s worked best for us is not arguing with the AI-generated info directly. Usually if someone spent an hour getting reinforced by ChatGPT, they’re already anchored to it.
At the end of the day, AI can summarize the internet, but it still can’t walk a home and understand what actually goes into servicing it consistently.