Datasets:
Formats:
csv
Size:
< 1K
Tags:
online-reputation-management
reverse-seo
search-suppression
brand-serp
ai-visibility
review-signal
License:
id int64 1 20 | brand stringlengths 8 19 | reverse_seo_score int64 40 85 | suppression_score int64 30 80 | recovery_score int64 55 90 | brand_serp_score int64 50 90 | ai_visibility_score int64 35 95 | review_signal_score int64 25 85 | overall_orm_health int64 50 80 | priority_signal stringclasses 4
values | industry stringlengths 4 15 | notes stringlengths 16 27 |
|---|---|---|---|---|---|---|---|---|---|---|---|
1 | TechStartup Inc | 45 | 30 | 60 | 55 | 40 | 70 | 50 | Suppression | Technology | Negative press coverage |
2 | Local Restaurant | 60 | 55 | 70 | 65 | 35 | 25 | 52 | Review Signal | Food & Beverage | Fake Google reviews |
3 | Healthcare Provider | 70 | 65 | 80 | 75 | 50 | 60 | 67 | AI Visibility | Healthcare | Personal data exposure |
4 | SaaS Company | 40 | 45 | 55 | 50 | 85 | 70 | 58 | Reverse SEO | Software | Low AI Overview presence |
5 | Law Firm | 55 | 60 | 65 | 70 | 45 | 80 | 63 | AI Visibility | Legal | Competitor negative content |
6 | Hotel Chain | 65 | 50 | 75 | 60 | 40 | 30 | 53 | Review Signal | Hospitality | Yelp review issues |
7 | Financial Advisor | 75 | 70 | 85 | 80 | 55 | 65 | 72 | AI Visibility | Finance | Client data concerns |
8 | E-commerce Brand | 50 | 45 | 60 | 55 | 90 | 75 | 63 | Suppression | Retail | ChatGPT visibility gap |
9 | Real Estate Agency | 60 | 35 | 70 | 65 | 50 | 80 | 60 | Suppression | Real Estate | Negative SERP results |
10 | Medical Practice | 70 | 60 | 80 | 75 | 45 | 25 | 59 | Review Signal | Healthcare | Glassdoor reputation |
11 | Insurance Company | 80 | 75 | 85 | 90 | 60 | 70 | 77 | AI Visibility | Insurance | DMCA violation found |
12 | Digital Agency | 55 | 50 | 65 | 60 | 95 | 80 | 68 | Suppression | Marketing | Perplexity AI visibility |
13 | Consulting Firm | 65 | 60 | 75 | 70 | 55 | 85 | 68 | AI Visibility | Consulting | Wikipedia issues |
14 | Retail Store | 70 | 55 | 80 | 75 | 50 | 30 | 60 | Review Signal | Retail | Consumer review problems |
15 | Tech Enterprise | 85 | 80 | 90 | 85 | 65 | 75 | 80 | AI Visibility | Technology | Search result removal |
16 | Startup Brand | 45 | 40 | 55 | 50 | 88 | 70 | 58 | Suppression | Technology | Knowledge panel missing |
17 | Food Brand | 60 | 55 | 70 | 65 | 50 | 25 | 54 | Review Signal | Food | Negative news articles |
18 | Service Business | 75 | 70 | 80 | 75 | 60 | 35 | 66 | Review Signal | Services | BBB complaint visibility |
19 | Healthcare Brand | 80 | 75 | 85 | 80 | 55 | 65 | 73 | AI Visibility | Healthcare | Personal info in SERP |
20 | B2B Company | 55 | 50 | 65 | 60 | 90 | 75 | 66 | Suppression | Business | Entity SEO optimization |
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
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