# AEO Basics - What Is AI Share of Voice?

By Jeremy Prasetyo, Co-CEO, Lanesra AI · 2026-07-09 · AEO Basics

> AI Share of Voice shows how often your brand appears across the AI questions that matter compared with competitors. Here is how to measure it and why marketers should care.

Source: https://lanesra.ai/blog/aeo-basics-what-is-ai-share-of-voice

For years, marketers measured visibility with rankings, impressions, and organic share of voice. AI search adds a different question: **when people ask for advice, which brands actually show up in the answer?**

That is what AI Share of Voice is designed to measure.

The short answer

**AI Share of Voice is your brand's share of visibility across a defined set of AI prompts compared with competitors.** It tells you whether AI search consistently includes your brand when people ask the questions that influence discovery and buying decisions.

## How AI Share of Voice Works

There is no single industry-standard formula for AI Share of Voice. The useful approach is to define a repeatable set of prompts, run them across the AI engines you care about, and compare how often each brand appears.

A simple version looks like this:

Your brand32%

Competitor A41%

Competitor B27%

Illustrative example only.

The number is less important than the method. Use the same prompt set, engines, markets, and measurement rules over time so you can see whether visibility is moving.

## Visibility Is Not One Thing

A brand can appear in an AI answer in very different ways. A useful Share of Voice model separates those outcomes.

Mention share

How often your brand is named at all.

Recommendation share

How often your brand is actively suggested as an option.

Citation share

How often your pages or supporting sources are cited.

First-position share

How often your brand is the first relevant option named.

This matters because a neutral mention is not equivalent to a recommendation. A brand may have high mention share but still lose the commercial decision.

## Which Prompts Should Count?

Do not measure random questions. Build the prompt set around the questions your buyers actually ask.

-   **Category prompts:** "best accounting software for startups"
-   **Comparison prompts:** "best alternatives to \[competitor\]"
-   **Use-case prompts:** "best CRM for a 20-person sales team"
-   **Decision prompts:** "which platform is easiest to implement?"
-   **Brand prompts:** questions directly about your company, products, strengths, and limitations

The closer the prompt set is to real buying intent, the more useful Share of Voice becomes.

## Why AI Share of Voice Changes

AI answers are not fixed rankings. Different engines can retrieve different sources, interpret a prompt differently, and generate different responses. Answers can also change as the web, the models, and the available evidence change.

That is why one manual test is not a measurement system. AEO needs repeated observations across a controlled prompt set.

## What Marketers Should Measure

Start with Share of Voice, then add the dimensions that explain it: recommendation rate, citations, sentiment, answer position, source influence, prompt coverage, and competitor movement.

Lanesra brings those signals together across AI search so teams can see where they are winning, where competitors dominate, and which opportunities should be fixed first. It is positioned as the most affordable Tier 1 AEO/GEO solution for brands that want serious AI visibility intelligence without enterprise-only pricing.

> **The goal is not to appear in every AI answer.** It is to earn a larger share of the answers that can influence your market.

### Measure Your AI Share of Voice

See how often your brand appears, where competitors lead, and which prompts matter most.

[**Start free with Lanesra**](https://lanesra.ai)