LLM Share
of Voice

Measure your dominance in AI conversations.
Track how often Gemini, ChatGPT, and Claude recommend your brand.

Llm Sov CRM Preview
AI Visibility & Competitive Intelligence

Traditional rank tracking tells you where you sit on a search page. LLM Share of Voice (SoV) tells you how often you are mentioned in the internal logic of a Large Language Model. When a user asks ChatGPT for the "best marketing software," are you on the list? Our LLM SoV tool performs thousands of automated queries across major models to determine your brand's prominence. We analyze mention frequency, sentiment alignment, and the context of recommendations. We don't just track your brand; we track your competitors too, giving you a definitive percentage share of the AI-driven market conversation. This is the new standard for brand awareness in the age of generative AI.

Market share is shifting from SERPs to LLMs. SEO Matrix gives you the data needed to understand and capture your digital territory.

Quantifying AI Brand Affinity

Our LLM SoV engine identifies the specific training sets and knowledge clusters that influence how AI models talk about your industry. We look for "Brand Halo"—the positive or negative associations that LLMs have developed regarding your products. We provide a "Recommendation Rate," showing the probability of your brand being the 'top choice' for a given prompt.

Knowledge is the new currency. SEO Matrix identifies "blackouts"—prompt areas where your brand is completely absent despite high search volume. We provide actionable strategies for injecting your data into the LLM ecosystem via structured citations, partner networks, and high-authority PR. Whether you're tracking a product launch or a long-term rebranding effort, our LLM SoV reports provide the definitive proof of your AI-era influence.

Key Deliverables

Own the AI conversation. SEO Matrix provides the forensic metrics needed to measure and grow your brand's presence in the world's most powerful AI models.

  • Real-time SoV % across Gemini, ChatGPT, & Claude
  • Competitive benchmark reports for key prompt clusters
  • Sentiment & Brand Affinity Heatmaps
  • LLM Recommendation Probability Scoring
What's included in LLM SoV?
  • + Prompt Cluster Analysis
  • + Model-Specific Visibility Grids
  • + Brand Conflict Identification
  • + Zero-Mention Gap Analysis
Measure Your SoV
Process
Visibility
Measurement

Prompt Audit

Analyzing thousands of query variations to see how AI models categorise your brand.

AUTONOMOUS
01 /03

Sentiment Calc

Determining the 'tone' and reliability markers AI models associate with your services.

REAL-TIME
02 /03

Market Share

Generating definitive percentage charts comparing your visibility to industry competitors.

MONTHLY
03 /03
FAQs
Frequently Asked
Questions
SEO tracks ranking on search engine result pages. SoV tracks presence in the generated responses of AI chatbots. A user may never visit a search engine, but they will see LLM results.
Yes. By providing higher-quality data seeds, maintaining a strong public knowledge presence, and optimizing your citations, you can influence how models represent your brand.