AI Visibility

Where discoverability is the capability to be surfaced, visibility is the measurable result: how often you actually show up when people ask AI systems about your space.

It is typically tracked by testing a set of representative prompts across assistants and recording when and how a brand appears, is described, or is cited.

Visibility turns an abstract goal into something you can monitor over time. Rising visibility for the prompts your buyers use is a strong signal that your discoverability work is paying off.

It also reveals competitive reality: which brands assistants mention by default in your category, and where you are absent from conversations you should be part of.

A set of prompts representing real buyer questions is run across AI systems. Responses are analyzed for whether the brand appears, how it is characterized, and whether it is cited or recommended.

Tracked over time and against competitors, this produces a picture of presence — though results vary by engine, phrasing, and model updates.

• Define a prompt set that mirrors how buyers actually ask about your category.
• Improve the discoverability inputs — representation, coverage, structure — that drive presence.
• Track appearance and sentiment over time rather than reacting to any single answer.
• Prioritize the gaps where competitors appear and you do not.