For decades, marketers measured success using one primary metric: Share of Voice. The more you dominated the conversation, the more visible your brand became.
That logic breaks in an AI-driven world.
AI systems do not display conversations. They synthesize answers. They choose which brands to mention, which sources to cite, and which options to recommend. In this environment, a new metric matters more than impressions or rankings: Share of Model.
Akii introduces this concept through its AI Search Tracker, giving brands a way to measure and improve how often they appear inside AI-generated answers.
What Share of Model Really Means
Share of Model measures your brand’s presence inside Large Language Models.
When someone asks ChatGPT, Google AI, or Perplexity a question about your category, how often does the model retrieve your brand as part of its answer?
Unlike traditional search engines, AI models act as curators. They do not show ten options. They select what they believe is the most relevant, credible response based on training signals and context.
If your Share of Model is low, your brand is effectively invisible to users who rely on AI to make decisions. AI Search Tracker allows you to quantify this visibility for the first time and turn AI optimization from guesswork into a measurable discipline.
How AI Search Tracker Measures Share of Model
AI Search Tracker is designed to answer the questions decision-makers care about most.
1. Direct Mention Tracking
See exactly how often your brand appears in AI responses for your core topics.
2. Citation Analysis
Understand when AI systems treat your brand as a trusted source rather than a casual mention.
3. Competitor Intelligence
Identify which competitors are being recommended instead of you and where they are winning AI visibility.
These insights reveal not just whether you are visible, but whether you are trusted.
Why Prompts Matter More Than Keywords
Traditional SEO focuses on keywords. AI search works differently.
Users ask full questions like, “What running shoes are best for marathon training under $100 with good arch support.” AI models respond by synthesizing an answer, not matching keywords.
AI Search Tracker analyzes visibility at the prompt level. It shows how your brand performs across real, complex customer questions. This connects AI visibility directly to intent.
When your brand fails to appear, you can see exactly which questions the AI cannot confidently associate with you. That clarity changes how content, authority, and positioning are prioritized.
From Insight to Action with AI Engage
Akii designed AI Search Tracker as part of a larger system.
Tracking visibility without action creates awareness but not results. That is why AI Search Tracker integrates directly with AI Engage.
Once a low Share of Model is identified for a product, category, or prompt cluster, AI Engage is used to strengthen brand signals and improve AI understanding. Results can then be monitored inside AI Search Tracker to confirm progress.
Measure the gap. Improve the signal. Verify the outcome.
Why Timing Matters
AI models continuously learn and reinforce patterns.
Once an AI system consistently associates authority with a competitor, displacing that position becomes harder over time. Early visibility tracking gives brands an advantage. It allows them to shape how AI models understand their category before competitors dominate those answers.
Ignoring this shift does not slow it down. It only delays awareness.
Conclusion
Marketing metrics must evolve with the technology that shapes discovery.
Share of Model is becoming a defining KPI in an AI-first search environment. It reflects whether your brand exists inside the answers customers trust.
Akii provides the tools to measure, monitor, and grow this visibility with AI Search Tracker.
You can assess your Share of Model today on the Akii AI Visibility Optimization platform.
Watch "AI Search Tracker: See How AI Assistants Rank Your Brand (ChatGPT, Google AI, Perplexity)" on YouTube: https://www.youtube.com/watch?v=yrnQRhl80Do
