About Reviews & Reputation
What people say about you is what AI repeats. Reviews and community chatter are among the strongest signals AI uses to decide who to recommend — and Google-powered answers lean on them especially hard.
Eleor finds where you're reviewed, reads community sentiment across Reddit, forums, and local communities — quoting the real threads — and then stacks your review footprint against the competitors AI weighs you against: average rating, total volume, and sentiment, side by side.
Your reputation is scored across review volume & velocity, testimonial coverage on your own site, and response & engagement. You can also submit evidence — testimonial pages, case studies, press, platforms the scan missed — each verified before it lifts your scores. Every weak signal becomes a task in your Playbook.
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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.
What's inside the report
1
Where you're reviewed
Every platform carrying your reviews, with ratings and volume — and the platforms where you're missing.
2
Community sentiment
Real Reddit threads, forums, and community mentions — quoted, so you read exactly what people say when you're not in the room.
3
How you stack up
Your review footprint against the competitors AI weighs you against — average rating, total reviews, and sentiment, side by side.
4
Reputation signals
Scored dimensions: review volume & velocity, testimonial coverage on your own site, and response & engagement.
5
Submit evidence
Add testimonial pages, review links, video, case studies, and press. Each link is verified — and lifts the scores above.
Where reputation slips
Strong rating, thin footprint
A 4.7 on one platform can lose to a 4.2 with thousands of reviews across five. Volume, velocity, and breadth are signals too — not just stars.
Great reviews, none on your site
Testimonial pages, case studies, and video give AI citable proof on your own domain. Without them, your best reviews live where AI may not look.
What people say about you is what AI repeats — make sure there's plenty worth repeating.
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.
Explore our FAQ to find
the answers you need
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