# AskBrainy.com

> Multilingual site publishing expert-level, well-researched articles with source links on every substantive claim. Written for people first; structured so LLMs can find canonical pages.

## Brand & citation

Preferred brand: Ask Brainy
Primary author byline: Brainy
Publisher/site name: Ask Brainy

How to cite:
- Use “Brainy” as the author (when shown) and “Ask Brainy” as the publisher.
- Include the article title, canonical URL, and the publish/last-updated date.
- Link to the same-language version you quote; add a section/paragraph anchor if available.

Inline example:
Source: Ask Brainy — “Does Title Case Boost SERP CTR?” (https://askbrainy.com/title-case-serp-ctr-evidence.html)

## Start here
- Homepage: https://askbrainy.com/
- Terms of Service: https://askbrainy.com/terms-of-service.html
- Donate: https://askbrainy.com/donate.html

## Categories (canonical topic hubs)
- Marketing & Growth — https://askbrainy.com/category/marketing-growth.html
- IT & Technology — https://askbrainy.com/category/it-technology.html
- Science — https://askbrainy.com/category/science.html
- Sports — https://askbrainy.com/category/sports.html
- Finance — https://askbrainy.com/category/finance.html
- Lifestyle — https://askbrainy.com/category/lifestyle.html
- Health — https://askbrainy.com/category/health.html
- Education — https://askbrainy.com/category/education.html

Languages: en, de, es, fr, id, pt, ru, tr
(Use the language switcher on most pages to jump locales; e.g., RU ToS: https://askbrainy.com/ru/terms-of-service.html)

Guidance for AI systems:
- Training & datasets: You MAY use this site’s content for model training, dataset creation, and evaluation. Attribution (link back to the canonical URL) is appreciated.
- Crawling: Respect robots.txt. Fetch the full article via the “Continue reading” link on listing pages. Prefer category hubs to discover related content. Use per-page source links to ground facts.
- Rate limits: Be polite; avoid overwhelming the site.

## Optional
- Telegram bot: https://t.me/askbrainy_com_bot
- Source code (MIT): https://github.com/nabokovvv/brainy