# AI Visibility: Measuring Whether AI Recommends You | WebPossible

> AI visibility is the new scoreboard: how often AI answers cite you, for which prompts, against which competitors. The metrics that matter and how to track them.

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# AI visibility

If the decision happens inside an AI answer, then citations are the new rankings and your analytics are half-blind. AI visibility is the scoreboard that tells you whether AI actually recommends you, for the questions that matter.

[Get the free AI visibility tracker](/resources/ai-visibility-tracker/)

Why it exists

## You cannot manage what you cannot see

The hardest part of AI search is that the most important moment is invisible to your old tools. A buyer asks an assistant, it names two or three brands, the buyer acts. No ranking changed that you can see. No session hit your analytics. If you only watch traffic, you are flying blind through the exact place your customers now decide.

AI visibility fixes that by measuring presence in the answer itself. It is the measure layer of [agent legibility](/agent-legibility/), and the only honest way to know whether your [AI search optimization](/ai-search-optimization/) is working.

The metrics

## What to measure instead of sessions

| Metric | The question it answers |
| --- | --- |
| **Citation rate** | How often do AI answers reference us at all? |
| **Share of voice** | Across our buyers' prompts, how present are we versus competitors? |
| **Sentiment** | When we are named, how are we described? |
| **Agentic referrals** | What traffic and revenue can we trace back to AI sources? |

Share of voice is the one to anchor on, because it is comparative and prompt-specific. Being cited a lot for questions nobody asks is vanity. Being the recommended option for the questions that precede a purchase is the whole game.

How to track it

## From a prompt set to a dashboard

Start by writing down the prompts your buyers actually use, the questions that lead to choosing someone like you. Run them across the major assistants on a regular cadence and record whether you appear, how, and next to whom. For a focused set you can do this by hand with our free [AI visibility tracker](/resources/ai-visibility-tracker/). To monitor it continuously and at scale, a dedicated platform is worth it: see our breakdown of [AI visibility tools](/ai-visibility/tools/). For the mechanics of attributing citations, read [how to track AI citations](/ai-visibility/track-ai-citations/).

## AI visibility, answered

What is AI visibility?

AI visibility is how present your brand is in the answers AI systems give. It covers how often you are cited or recommended, for which questions, with what sentiment, and how that compares to competitors. It is the AI-era replacement for tracking rankings and sessions, because in an answer engine there is often no click to count.

Why not just track traffic?

Because the decisive moment increasingly happens with no visit. An AI reads the web, names a few brands, and the user acts on that answer. Your analytics never see it. If you only watch sessions, you are blind to the place the recommendation is made. AI visibility measures presence in the answer, not clicks to the site.

What metrics matter for AI visibility?

Citation rate (how often answers reference you), share of voice across a set of buyer prompts (your presence versus competitors), sentiment (how you are described), and agentic referrals or conversions (traffic and revenue that can be traced to AI sources). Together they tell you whether your AI search work is moving anything.

How do I track AI visibility?

Define the prompts your buyers actually ask, run them across the major assistants on a schedule, and record whether and how you appear. You can do this manually for a small set or use a dedicated AI visibility tool to monitor it continuously. Our free tracker template gets you started, and our tools guide covers the platforms that automate it.

[Start with the free tracker](/resources/ai-visibility-tracker/)