# AI-Visibility Engine

> A SaaS that measures and improves how often AI assistants (ChatGPT,
> Claude, Gemini, Perplexity, GigaChat, YandexGPT) cite your brand in
> their answers. Outputs a ECHO Index (ECHO, 0-100) and
> generates artifacts (Schema.org JSON-LD, llms.txt, MCP manifest) to
> increase that visibility.

## What we measure

ECHO = 50% citation frequency + 30% sentiment + 20% source authority.
Computed per scan run, persisted as a time-series snapshot for trends.

## Providers we probe in parallel

- OpenAI (gpt-5, gpt-5-mini)
- Anthropic (claude-opus-4-7, claude-haiku-4-5)
- Google Gemini (gemini-2.5-pro, gemini-2.5-flash)
- Perplexity (sonar-pro, with web search)
- GigaChat (Sber, Russian-language first-class)
- YandexGPT (Yandex Cloud, Russian-language first-class)

## Docs

- /how-it-works: Methodology, formula breakdown, audit flow
- /audit/[id]: Public per-brand audit result with ECHO + per-provider matrix
- https://github.com/f0q/xeo: Open-source ECHO methodology

## Try it

Drop a domain at https://x.aijam.pro and get a free audit in ~30 seconds.
No signup. RU and EN UI. RU LLMs covered (GigaChat, YandexGPT) — most
Western competitors skip them.

## Contact

Phase 1 (Free ECHO Checker) is live. Phase 2 (Paid audit + downloadable
artifacts: llms.txt, Schema.org JSON-LD, MCP manifest) is on the
waitlist — capture form ships on every completed audit page.