The AYA Business Dataset is a curated collection of structured business data extracted from the AYA Registry, maintained by AI Visionary (Geneva, Switzerland). Each entry represents a business entity with standardized fields covering identity, sector, geographic location, AI-readability score, and extracted keywords.

The AIO score (AI-readability Intelligence Optimization) measures how well a website communicates structured information to AI systems, on a scale from 0 to 100. It is computed across 7 weighted blocks: Identity, Offer Clarity, Processes, Trust & Compliance, Indicators, Pedagogy, and Technical Foundation.

Source

Data is sourced from:

AYA Bot: Automated web scraping and analysis of business websites (majority of entries)
AYO Diagnostic: Manual AI-readability audits completed by business owners

Registry URL: https://ai-visionary.com/aya

Fields

CSV format (`aya_business_dataset.csv`)

Field	Type	Description
`name`	string	Business display name
`website`	string	Primary website URL
`country`	string	ISO 2-letter country code (e.g., CH, FR, US)
`sector`	string	Macro sector classification (e.g., technology, finance, healthcare)
`entity_type`	string	Organization type: `company`, `association`, `public_body`
`aio_score`	integer	AI-readability score (0-100)
`certified`	boolean	Whether the entity is a paying AYA-certified member
`keywords`	string	Semicolon-separated keywords extracted from the website
`source`	string	Always "AYA Registry by AI Visionary"
`url`	string	Direct link to the entity's AYA certificate page

JSONL format (`aya_business_dataset.jsonl`)

The JSONL format includes all CSV fields plus:

Field	Type	Description
`entity_id`	string	Unique UUID identifier
`legal_name`	string	Legal/registered name of the entity
`description`	string	Short description extracted from the website
`data_origin`	string	Data source: `AYA-BOT` (scraped) or `AYO` (user diagnostic)
`keywords`	array	List of extracted keywords
`services`	array	List of detected services/products
`aio_blocks`	object	Individual scores per AIO block (identity, offer, process, trust, indicators, pedagogy, technical)
`registry_url`	string	URL of the full AYA registry

Usage

Load with pandas

import pandas as pd

# CSV
df = pd.read_csv("aya_business_dataset.csv")
print(f"{len(df)} businesses from {df['country'].nunique()} countries")

# JSONL
df = pd.read_json("aya_business_dataset.jsonl", lines=True)

Load with HuggingFace datasets

from datasets import load_dataset

dataset = load_dataset("ai-visionary/aya-business-dataset")

Filter by country or sector

swiss = df[df["country"] == "CH"]
tech = df[df["sector"] == "technology"]
high_score = df[df["aio_score"] >= 60]

Use Cases

Business intelligence: Analyze AI-readiness across industries and geographies
Text classification: Train models to classify businesses by sector from structured data
Question answering: Build QA systems over structured business data
Recommendation systems: Use AIO scores and keywords for business matching
Research: Study how well businesses communicate structured data to AI systems

Data Quality

Entries with AIO score < 20 are excluded
Names are cleaned (slogans, generic titles, encoding issues removed)
Countries are normalized to ISO 2-letter codes
Contact emails are not included (privacy protection)
Raw ASR payloads are not included (size optimization)

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

You are free to share and adapt this dataset for any purpose, provided you give appropriate credit to AI Visionary and the AYA Registry.

Citation

@dataset{aya_business_dataset_2026,
  title={AYA Business Dataset: AI-Readability Scores for Global Businesses},
  author={AI Visionary},
  year={2026},
  url={https://ai-visionary.com/aya},
  license={CC-BY-4.0}
}

Contact

Website: ai-visionary.com
Registry: ai-visionary.com/aya
API documentation: ai-visionary.com/developers

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AYA Business Dataset

Description