Use case

Share of Model Tracking

Measure your brand's share of AI-generated recommendations vs competitors.

Quick answer
Traditional Share of Voice metrics measure search rankings and ad impressions, but AI engines recommend only 3-5 brands per response. If your brand is not in that short list, you are invisible to AI-first buyers. Most companies have no way to measure their share of AI recommendations or track how it compares to competitors across engines and query types.
Expected outcomes

What you can achieve

+35%
average Share of Model lift in 6 months
8+
AI engines tracked per category
Weekly
trend tracking across all engines
3-5
brands per AI response (the visibility ceiling)
How it works

Share of Model Tracking with AEO Platform

1

Define your category queries

Specify the prompts that define your market: recommendation queries, comparison queries, "best for" queries, and category exploration queries.

2

Baseline your Share of Model

AEO Platform queries all engines and calculates your baseline Share of Model across every query, engine, and competitor pairing.

3

Identify weak segments

Drill into Share of Model by engine, query type, and competitor to find where your brand is underrepresented. These are your highest-priority improvement targets.

4

Execute improvement actions

Use the platform's recommendations to strengthen your position in weak segments: content optimisation, citation building, structured data improvements.

5

Track weekly trends

Monitor Share of Model weekly to measure the impact of your actions and detect competitive shifts early.

6

Report to stakeholders

Export Share of Model reports that communicate your AI competitive position to leadership in a clear, benchmark-driven format.

The solution

How AEO Platform helps

AEO Platform calculates Share of Model by querying AI engines with hundreds of category-relevant prompts and tracking which brands appear in each response. Your Share of Model is broken down by engine, query type (comparison, recommendation, best-for), competitor pairing, and time period, giving you a multidimensional view of your AI market share.

The platform tracks Share of Model trends over time, showing whether your position is strengthening or weakening relative to each competitor. Weekly trend reports highlight shifts that require attention—a sudden drop in Share of Model on a specific engine, a competitor gaining ground in a specific query category, or a new entrant appearing in AI responses for the first time.

Share of Model benchmarks let you compare your performance against category averages. The platform shows you what "good" looks like for your category and industry, helping you set realistic targets. Combined with the platform's action plans, Share of Model tracking becomes a closed-loop system: measure, identify gaps, take action, and remeasure to confirm improvement.

Example queries

Queries to monitor

What is the best [category] tool?
Recommend a [category] solution for my business
Top [category] platforms in 2026
Which [category] company should I choose?
Compare the leading [category] providers
FAQ

Share of Model Tracking FAQ

Relevant engines
Get started

Start with the pages and proof that AI can actually use

Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.