You are scrolling through an area page, checking it before you sign a lease, and you land on a review that stops you cold. Five stars.
“Power is basically 24/7 here, best area in the state.” You know this street. You have a cousin who lives two blocks away, and she has told you, more than once, about the generator fuel she buys every week.
So you sit with the obvious question. Did someone pay for that review? Is it the landlord, or an agent working for him, dressing up a bad building with a glowing paragraph?
It is a fair question, and it deserves a real answer. No system can guarantee every submission is genuine, but several real layers make faking a review harder to pull off and weaker when it happens.
The layers, from submission onward

The first layer shows up before a review even gets published. On the Rate My Area form, you cannot submit without ticking a box that says, plainly, “This review is based on my own experience.”
There is no ID check or address verification behind it, just a self-declaration. By itself, it would not stop a determined landlord, but it turns a fake review from a shortcut into a lie someone has to actively tell, in writing, attached to their account.
New accounts also pass through a basic honeypot field at registration, a quiet trap that catches automated bot signups, though it won’t stop a human typing a paid review by hand.
The second layer is moderation. Arandmi’s stated policy is direct: “We remove anything that names specific individuals, contains abuse, or reads as if it came from an agent.”
That last part is the one worth sitting with. A review that reads like promotional copy, the kind a landlord or provider might write to talk up a listing, gets flagged for exactly that reason.
Genuine resident reviews tend to read differently: specific, uneven, sometimes annoyed. Agent-written text has a tell, and moderation is built to catch it.
The third layer is the format of the review itself. The written field is capped at 300 words, with guidance right there on the form: “Specifics help most: providers, hours, and what changed over the last year.”
That instruction pushes people toward detail that is hard to fabricate convincingly at scale.
Naming a provider or describing hours of outage takes actual lived experience. Vague praise is easy to fake; specific detail is not.
The fourth layer is quieter but might matter most: the math itself dilutes the damage. This ties directly into the averages that power every area’s score.
Arandmi will not call an area’s average “reliable” until it has 25 or more reviews. Below that, you see a tag like “Early signal · X of 25 reviews,” with the plain guidance to “Treat it as early, not settled.”
One fake five-star review dropped into an area with three total reviews can swing the average hard. The same fake review dropped into an area with 30 honest ones barely moves it.
The threshold is structural protection against exactly the scenario you were worried about when you saw that suspicious review.
There is a related layer built into who can even submit in the first place, which is covered in why only residents of an area can rate it.
Restricting reviews to people actually living somewhere already narrows the field of who could plausibly write a fake one and get away with it.
The community catches what the system misses
None of the layers above are automatic fraud detectors. They raise the cost of faking a review and shrink its impact, but a human still has to notice when something feels off, and that is where readers come in.
If you spot a review that reads like it was written by the landlord, or one that seems designed to trash a rival area, you can flag it directly.
The Contact page has a “Report a review” category built into its message form, so you do not have to guess where to send it.
You will get a reply within 24 hours, and it specifically recommends marking anything urgent, like a review that names a real individual, so it gets looked at fast.
You can also report a review by writing straight to reports@arandmi.com if that is quicker for you.
This closes the loop. The honesty checkbox, the moderation rules, the specifics-encouraged format, and the 25-review threshold do most of the structural work quietly, in the background.
The report option is what happens when something slips through anyway and a real person notices.
What this actually adds up to
This is a real, layered system, and it is honest about what it is for. It is not a claim that no one will ever try to game a review.
It is a design that makes gaming the system harder to do convincingly, harder to do at scale, and weaker in its effect even when it happens.
An area like Chevron with a solid base of reviews is far sturdier against a bad-faith submission than a brand-new area page with two or three entries.
If you want to see how the honest version of the process works from the reviewer’s side, the walkthrough on submitting a review covers it end to end.
Frequently Asked Questions
Can a landlord just pay someone to post five glowing reviews about their building’s power supply?
They could try, but it would not go far.
The honesty checkbox makes it a written lie, moderation flags text that reads promotional or agent-written, the 300-word format pushes for hard-to-fake specifics, and if the area already has reviews, the 25-review threshold limits how much a handful of fake ones can shift the average.
What happens if I see a review that seems fake or written by a rival business?
Report it. The Contact page has a “Report a review” category built for exactly this, or you can email reports@arandmi.com directly.
Most messages get a reply within 24 hours, and it asks you to mark anything urgent, such as a review naming a real person, so it gets prioritized.
Does Arandmi verify identity or address before accepting a review?
No. There is no ID or address verification.
Submission relies on a consent checkbox stating the review reflects the reviewer’s own experience, backed by moderation that removes abusive, individual-naming, or agent-sounding content, plus the 25-review threshold that limits how much any single unverified review can distort an area’s average.