Citano
How we measure

What a result means, and what it doesn’t.

AI answers change from one request to the next. This page explains what Citano records, how it reads an answer, and where a result stops being reliable.

Observed answerExample
Question1 buyer intent×Engine1 named system×Time1 observation
Observed answer
Brand mentionPosition 2
3 sourcesComplete

This records one answer from one named API at one time. It does not claim a permanent rank or reproduce every consumer interface.

What one result is

A Citano result is one question, asked of one named AI engine, at a recorded time. The answer can show whether your store was named, its position, the competitors and the sources. It is not a permanent ranking.

Why results change

AI providers update models, retrieval systems and indexes. Answers can also vary between repeated requests. Citano treats that variation as part of the measurement problem: it keeps engine coverage explicit and uses repeated comparable scans for trends.

How questions are selected

The store’s public information seeds a business profile and a bounded set of buyer-style recommendation questions. The question set must match the store’s real category and market; generic prompts create generic reports.

What a visibility score means

The score summarizes mentions within the questions and engines that actually completed. A partial scan is not silently counted as total failure, and the underlying questions remain more important than the headline number.

What improvements mean

Citano can draft clearer, more useful owned-site content and identify relevant third-party pages appearing in sources. It cannot guarantee inclusion, manufacture trustworthy coverage or control an AI provider’s output.

API answers versus the apps

API responses and consumer AI products can differ. Citano labels actual engine coverage and does not claim that one API observation reproduces every interface, browsing mode or personalized answer.

Research standard

Product claims are checked first against official search-engine, AI-provider, web-standard and platform documentation. Academic results are labeled as research findings, not universal ranking rules. Vendor studies are supporting evidence, not the foundation.

See the public learning library →
Free check · no account required

See it measured on your own store.

Run a free check and read the exact question, answer, stores and sources.

Check my store