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Share of Model

LLM Visibility Tracker

Tracks brand share of voice across AI model responses

Overview

Share of Model takes a laser-focused approach to AI visibility tracking by measuring brand share of voice specifically within large language model responses. While most AI SEO tools try to cover everything from content optimization to technical audits, this platform does one thing: track how often your brand gets mentioned when users ask AI models questions.

The tool emerged in 2025 as businesses realized they needed dedicated tracking for AI model responses, not just traditional search results. Unlike broader platforms like AccuRanker AccuLLM or AI Brand Tracking that blend multiple features, Share of Model concentrates entirely on the share-of-voice metric that matters most for brand visibility in AI search.

The platform's core value lies in its focused methodology. Rather than tracking dozens of metrics across various AI touchpoints, it measures competitive brand positioning within actual AI responses — the metric that directly impacts how often your company gets recommended to users asking AI models for advice, product suggestions, or industry insights.

Score breakdown

Composite Score

38.0
#19 of 78 in LLM Visibility Tracker#373 of 508 overall
Feature Depth22.0
Ease of Use35.0
Data Quality58.0
Value for Money65.0
Integration20.0
Market Traction6.0

Our review

Share of Model measures brand share of voice across AI models, providing competitive benchmarking for how often brands are recommended or mentioned by different AI platforms.

Pros

  • Focused share of voice metric across multiple AI models
  • Competitive benchmarking against industry peers
  • Trend tracking to see share changes over time
  • Clear metric for AI brand visibility

Cons

  • Very narrow feature set — share of voice only
  • Limited actionable optimization insights
  • Early-stage platform

Best for

Brand strategists tracking competitive AI visibilityMarketing leaders wanting a clear AI share of voice metricCompetitive intelligence teams benchmarking AI presence

Key features

AI Model Response Tracking

Monitors how often your brand appears in responses from ChatGPT, Claude, Gemini, and other major LLMs. Provides baseline visibility metrics across the AI search ecosystem.

Competitive Share Analysis

Measures your brand's share of voice against direct competitors in AI model outputs. Shows which brands dominate specific query categories.

Query-Level Attribution

Breaks down brand mentions by query type and intent, revealing where you're winning or losing ground in AI responses.

Response Context Analysis

Examines how your brand is positioned within AI responses — as a primary recommendation, alternative option, or brief mention.

Pricing

PlanPriceIncludes
Contact for PricingUnknownBrand share tracking, competitive analysis, LLM response monitoring
Price verified 2025-02-01 · USDView vendor pricing

FAQ

How does Share of Model differ from traditional SEO tracking?

Share of Model focuses exclusively on brand mentions within AI model responses rather than traditional SERP rankings. It measures share of voice across ChatGPT, Claude, and similar platforms where users increasingly search for information.

Which AI models does Share of Model track?

The platform monitors major LLMs including ChatGPT, Claude, Gemini, and other conversational AI systems. Coverage varies based on API access and model availability.

Can Share of Model track competitor mentions?

Yes, the platform provides competitive analysis by tracking how often competitor brands appear in AI responses for the same queries. This helps identify market positioning and opportunity gaps.

AI Platform Coverage

PlatformTracked
ChatGPT
Perplexity
Gemini
Claude
Copilot
Grok
DeepSeek
Meta AI
Google AI Overviews
Google AI Mode
Mistral

Capabilities

AI Visibility Metrics

Share of Voice
Sentiment Analysis
Citation Tracking
Source Attribution
Competitor Tracking
Position Ranking
Trend Tracking
Alert System
Persona Filter
Content Recommendations

Content & Optimization

Content Editor
Content Generation
Content Briefs
Schema Generator
Site Audit

Entity SEO

Internal Linking

Traditional SEO

Keyword Rank Tracking
SERP Features Tracking
Keyword Research

Technical & Integrations

API
CSV Export
Chrome Extension
WordPress Plugin
Open Source
Deployment: cloud

Integrations

PencilGoogle AdsGoogle AnalyticsLooker Studio

Social Proof

Notable Customers

Gentle Monster

How does Share of Model compare?

Side-by-side comparisons with AccuRanker AccuLLM, AI Brand Tracking, AI Rank Checker, and more.

View comparisons →

aiseo.is Score

38.0

#19 of 78 in LLM Visibility Tracker

GS
Garrett SmithExpert reviewer
20+ yrs in SEO3+ yrs AI for SEO20K+ campaigns

Review Sentiment

🟠Reddit sentiment

mixed

10 threads in DigitalMarketing, Agent_SEO, aeo

Emerging metric for AI visibility trackingAlternative to traditional SEO rankingsChallenges with measurement and standardizationTool ecosystem still developing

We are basically moving from Share of Voice to Share of Model. But there is a massive nuance people are missing and that is Citation Accuracy.

r/Agent_SEO

we call it 'Share of Model' at VectorGap instead of GVS, but the logic is identical. snapshot-based testing is basically vanity metrics at this point.

r/SaaS

🔵𝕏 sentiment

positive

6 posts

Emerging essential metric for AI visibilityReplacement for traditional SEO rank trackingImportant for zero-click/AEO futureTracks brand mentions across AI models

Tracking 'Share of Model' is the new rank tracking.

@VectorGapAI

In 2026, clicks are a vanity metric. If you aren't learning how to track brand mentions in AI search, you're losing 25% of your traffic to LLMs.

@AllAboutAicom

Last updated Feb 2026

Quick Facts

CategoryLLM Visibility Tracker
Starting priceUnknown
Free tierNo
Free trialYes
Founded2025
HQUnknown
Websitehttps://shareofmodel.ai

Target Market

Industries

consumer goodsservicesretailCPGluxury eyeweare-commerce

Category

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