Datasets:
Formats:
csv
Size:
< 1K
Tags:
online-reputation-management
reverse-seo
search-suppression
brand-serp
ai-visibility
review-signal
License:
metadata
license: mit
tags:
- online-reputation-management
- reverse-seo
- search-suppression
- brand-serp
- ai-visibility
- review-signal
- orm-tracker
- removebadresults
- bhmarketer
pretty_name: Remove Bad Results ORM Benchmarks
size_categories:
- n<1K
Remove Bad Results ORM Benchmarks
Benchmark dataset of 20 ORM signal cases with individual scores for reverse SEO, suppression, recovery, brand SERP, AI visibility, and review signals.
Built by RemoveBadResults.fyi powered by BHMarketer.
Dataset Description
This dataset contains benchmark data for tracking and scoring online reputation signals separately across brands and industries.
Columns
| Column | Type | Description |
|---|---|---|
| id | integer | Case ID |
| brand | string | Brand name |
| reverse_seo_score | integer | Reverse SEO signal score (0-100) |
| suppression_score | integer | Suppression signal score (0-100) |
| recovery_score | integer | Recovery signal score (0-100) |
| brand_serp_score | integer | Brand SERP signal score (0-100) |
| ai_visibility_score | integer | AI Visibility signal score (0-100) |
| review_signal_score | integer | Review signal score (0-100) |
| overall_orm_health | integer | Overall ORM health score (0-100) |
| priority_signal | string | Lowest scoring signal to act on first |
| industry | string | Industry category |
| notes | string | Case description |
Score Interpretation
| Score | Status | Action |
|---|---|---|
| 0-30 | Critical | Immediate action required |
| 31-60 | At Risk | Active monitoring needed |
| 61-80 | Healthy | Maintenance mode |
| 81-100 | Excellent | Sustain and grow |
Usage
import pandas as pd
df = pd.read_csv("orm_benchmarks.csv")
print(df.head())
Links
License
MIT — RemoveBadResults.fyi