SƎORTY
AI VISIBILITY METHODOLOGY

Measure what is observable.
Explain uncertainty.

AI visibility is not a fixed position. seorty.com records how a brand appears across realistic question sets while keeping every engine, language, model, date and sample separate.

A mention is not a citation

A mention occurs when an answer names the brand. A citation exists when it displays a URL as a source. Context also matters: a brand may appear positively, neutrally, negatively or ambiguously. These signals remain separate.

One query does not represent a market

Generative systems can vary between runs. seorty.com therefore uses intent-based query sets, repeated samples and recorded engine, model, locale and observation time. Insufficient coverage is reported as insufficient data.

Understanding the AI Visibility Score

This is a proprietary, non-official metric: 70% mention rate, 20% responses citing an owned domain and 10% observable positive context. Components and sample size are displayed, and engines are calculated separately.

From a signal to a useful action

Cited sources, recurring competitors and missing topics can reveal entity, content, documentation, original-data or digital-PR opportunities. Every proposal retains evidence, confidence, risk and approval requirements.

What we do not promise

No provider controls ChatGPT, Gemini, Claude, Perplexity, Copilot or Google's generative experiences. seorty.com does not guarantee citations or label estimates as measurements. The goal is sustainable eligibility, clarity and authority.

FAQ

Can I know my exact position in ChatGPT?

There is no universal, stable position. Mentions and context can be observed in defined samples while recording engine, model, query, language and date.

Does a citation mean the AI recommends my company?

Not necessarily. A citation means a URL appeared as a source; recommendation and context must be assessed separately.

Does GEO replace SEO?

No. Crawling, indexation, useful content, authority and consistency remain important foundations for traditional and generative search.

Why repeat queries?

Answers can vary. Repeated, documented sampling reduces the risk of turning an accidental observation into a general conclusion.