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How Reviews & Reputation Works | Eleor
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HOW IT WORKS · 09

How Reviews & Reputation works

Reviews are one of the loudest trust signals AI reads. This report gathers your reputation across platforms — volume, ratings, recency, and sentiment — and shows how it shapes the way AI describes and recommends you.

AI treats your reviews as testimony. Weak testimony, weak recommendation.

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Example

Two providers rate 4.6 stars. One has 300 recent, detailed reviews; the other has 12 from three years ago. AI recommends the first with confidence and hedges on the second — because it can see which reputation is alive and which one is stale.

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THE REPUTATION SIGNALS

What we measure

This report reads your reputation the way AI does — not just the star rating, but the volume, freshness, and story your reviews tell.

1
Volume
Is there enough to be believed?
How many reviews back you up — thin counts read as unproven, no matter how high the average sits.
2
Rating
What's the headline verdict?
Your average rating across platforms, and how it compares to the competitors AI weighs you against.
3
Recency
Is your reputation still alive?
How fresh your reviews are — a wall of old reviews signals a business that may have gone quiet.
4
Sentiment
What story do the words tell?
The themes and tone inside your reviews — what customers actually praise or complain about, which AI reads and repeats.
5
Platform coverage
Are you trusted in more than one place?
Whether your reputation shows up across the platforms AI checks, not concentrated in a single source.
6
Response signals
Do you engage with feedback?
Whether you respond to reviews — a signal of an active, accountable business that AI reads as trust.
For multi-location brands, we roll reputation up across every location and break it down location by location.
READING YOUR RESULTS

Turn your reputation into a reason to recommend you

The report shows where your reputation helps AI recommend you and where it holds you back — too few reviews, gone stale, or telling a story that undercuts your positioning. Each becomes a specific move: earn more, keep them fresh, or address the themes dragging you down.

What your gaps mean

Each weak signal points to a specific move.

If your rating is high, but volume is thin
you likely need a steady flow of new reviews — AI trusts a proven track record more than a perfect but tiny one.
If your reviews are strong, but old
you likely need recency — a consistent cadence of fresh reviews that shows the business is active and current.
If the sentiment undercuts your positioning
you likely need to address the recurring themes in your reviews — and give AI newer, stronger testimony to read.

The goal is a reputation AI can point to without hesitating — deep enough, fresh enough, and consistent enough that recommending you feels safe.

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