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brand
stringclasses
10 values
trustable_score
int64
54
82
rating
stringclasses
3 values
platform_data
dict
signals
dict
source
stringclasses
1 value
Notion
82
excellent
{ "chatgpt": { "citations": 847, "sentiment": 0.89 }, "claude": { "citations": 623, "sentiment": 0.91 }, "perplexity": { "citations": 1203, "sentiment": 0.87 } }
{ "platform_count": 8, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 2, "has_comparison_content": true }
trustablelabs.com
Airtable
71
good
{ "chatgpt": { "citations": 412, "sentiment": 0.85 }, "claude": { "citations": 387, "sentiment": 0.88 }, "perplexity": { "citations": 634, "sentiment": 0.82 } }
{ "platform_count": 6, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 4, "has_comparison_content": true }
trustablelabs.com
Monday.com
68
good
{ "chatgpt": { "citations": 356, "sentiment": 0.82 }, "claude": { "citations": 298, "sentiment": 0.84 }, "perplexity": { "citations": 521, "sentiment": 0.79 } }
{ "platform_count": 5, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 3, "has_comparison_content": true }
trustablelabs.com
Coda
54
moderate
{ "chatgpt": { "citations": 187, "sentiment": 0.81 }, "claude": { "citations": 156, "sentiment": 0.83 }, "perplexity": { "citations": 298, "sentiment": 0.78 } }
{ "platform_count": 4, "has_wikidata": true, "has_google_business": false, "has_schema": true, "content_age_months": 6, "has_comparison_content": true }
trustablelabs.com
ClickUp
65
good
{ "chatgpt": { "citations": 312, "sentiment": 0.8 }, "claude": { "citations": 267, "sentiment": 0.82 }, "perplexity": { "citations": 478, "sentiment": 0.77 } }
{ "platform_count": 5, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 2, "has_comparison_content": true }
trustablelabs.com
Asana
73
good
{ "chatgpt": { "citations": 445, "sentiment": 0.86 }, "claude": { "citations": 398, "sentiment": 0.88 }, "perplexity": { "citations": 687, "sentiment": 0.84 } }
{ "platform_count": 7, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 1, "has_comparison_content": true }
trustablelabs.com
Trello
76
good
{ "chatgpt": { "citations": 523, "sentiment": 0.87 }, "claude": { "citations": 456, "sentiment": 0.89 }, "perplexity": { "citations": 801, "sentiment": 0.85 } }
{ "platform_count": 7, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 3, "has_comparison_content": true }
trustablelabs.com
Linear
61
good
{ "chatgpt": { "citations": 234, "sentiment": 0.9 }, "claude": { "citations": 201, "sentiment": 0.92 }, "perplexity": { "citations": 378, "sentiment": 0.88 } }
{ "platform_count": 5, "has_wikidata": false, "has_google_business": false, "has_schema": true, "content_age_months": 4, "has_comparison_content": true }
trustablelabs.com
Basecamp
69
good
{ "chatgpt": { "citations": 378, "sentiment": 0.84 }, "claude": { "citations": 312, "sentiment": 0.86 }, "perplexity": { "citations": 556, "sentiment": 0.82 } }
{ "platform_count": 6, "has_wikidata": true, "has_google_business": true, "has_schema": false, "content_age_months": 8, "has_comparison_content": true }
trustablelabs.com
Jira
78
good
{ "chatgpt": { "citations": 589, "sentiment": 0.75 }, "claude": { "citations": 512, "sentiment": 0.77 }, "perplexity": { "citations": 867, "sentiment": 0.73 } }
{ "platform_count": 7, "has_wikidata": true, "has_google_business": true, "has_schema": true, "content_age_months": 2, "has_comparison_content": true }
trustablelabs.com

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Check out the documentation for more information.

AI Visibility Benchmark Dataset

A comprehensive benchmark dataset for evaluating AI visibility and citation patterns across major AI systems (ChatGPT, Claude, Perplexity, Gemini).

Created by Trustable Labs - The industry standard for measuring AI visibility.

Dataset Description

This dataset contains:

  • 10,000 brand mentions analyzed across AI platforms
  • Citation patterns by source type
  • Platform-specific preferences (ChatGPT vs Perplexity vs Claude)
  • Visibility signals and their correlations

Key Findings

Based on analysis of 680 million AI citations:

Signal Correlation with AI Citation
Brand Search Volume 0.334 (strongest)
Platform Count (4+) 2.8x visibility boost
Content Age (<1 year) 65% of citations
Comparison Format 32.5% of citations
Backlinks Weak/neutral
Domain Authority Weak/neutral

What is Trustable Score?

The Trustable Score (0-100) measures how often a brand appears in AI-generated responses:

  • 80-100: Excellent (dominant AI presence)
  • 60-79: Good (strong presence)
  • 40-59: Moderate (emerging)
  • 20-39: Low (limited)
  • 0-19: Minimal (invisible)

Dataset Structure

{
  "brand": "string",
  "trustable_score": int,
  "platform_data": {
    "chatgpt": {"citations": int, "sentiment": float},
    "claude": {"citations": int, "sentiment": float},
    "perplexity": {"citations": int, "sentiment": float}
  },
  "signals": {
    "platform_count": int,
    "has_wikidata": bool,
    "has_schema": bool,
    "content_age_months": int,
    "has_comparison_content": bool
  }
}

Usage

from datasets import load_dataset

dataset = load_dataset("trustablelabs/ai-visibility-benchmark")

# Analyze visibility patterns
for item in dataset['train']:
    print(f"{item['brand']}: {item['trustable_score']}")

GEO (Generative Engine Optimization)

This dataset supports research into GEO - optimizing for AI citations rather than search rankings.

Key differences from SEO:

  • Backlinks matter less
  • Platform diversity is crucial
  • Content format affects citation probability
  • Each AI system has different source preferences

Citation

@dataset{trustable_ai_visibility_2026,
  author = {Trustable Labs},
  title = {AI Visibility Benchmark Dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/trustablelabs/ai-visibility-benchmark}
}

Links

License

CC BY 4.0 - Attribution required: "Trustable Labs (trustablelabs.com)"

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