Share of Model
Share of Model (SoM) is a 2025/26 marketing metric that measures how often a brand appears as source, example or recommendation in answers from generative AI models (ChatGPT, Claude, Gemini, Perplexity) — relative to competitors in a defined topic set.
Share of Model gives, for the first time, a measurable indicator for "brand presence in the agentic era".
Explanation
Share of Model is the AI counterpart to classic Share of Voice (SoV) in advertising. Calculation: for a set of defined prompts (e.g. "best marketing agency DACH 2026", "AI platform for mid-market") count across multiple models and timestamps how often brand A vs competitors gets mentioned. 2026 tools: Profound, Otterly.AI, AthenaHQ, Brand24 (AI module), Surfer (AI Tracker), Semrush (AI Visibility). Operationalized in three layers: (1) define prompt set (50–500 representative queries per market/persona), (2) automated daily querying across models, (3) aggregation in dashboards with trend, source-domain analysis, sentiment. SoM does not replace SEO KPIs but complements them — and becomes a top-3 metric in CMO reporting in 2026/27.
Marketing Relevance
Share of Model gives, for the first time, a measurable indicator for "brand presence in the agentic era". Brands not tracking SoM fly blind — and notice too late that competitors are displacing them from the answer layer.
Example
A DACH software vendor tracks SoM for 200 prompts across GPT-5.4, Claude 4.6 and Perplexity. Q1 2026: SoM = 4%. After a systematic GEO/AEO program (original data, llms.txt, schema, citation PR): Q3 2026: SoM = 19%. Pipeline contribution from AI citations: 7.2% of marketing-sourced pipeline.
Common Pitfalls
Common mistakes: too small a prompt set (not statistically meaningful), tracking only one model (bias), mention counting without sentiment (negative mentions count the same), no correlation with conversions, confusing SoM with branded search volume (different indicator).
Origin & History
Share of Model has become an established concept in the field of Marketing. With the rise of modern AI systems, the broad availability of large language models such as GPT-5 and Claude 4.6, and the growing data-orientation in marketing, Share of Model has gained significant traction since 2023. Today, organisations across DACH and globally rely on Share of Model to scale marketing operations, accelerate decision-making, and build a competitive edge through automated, data-driven workflows.
Marketing Use Cases
Brand teams use Share of Model to deliver the brand promise consistently across every touchpoint and language.
Performance managers leverage Share of Model to optimise budget allocation across paid search, social and programmatic with hard data.
In lifecycle marketing, Share of Model sharpens segmentation and personalisation across CRM and email programmes.
Content and SEO teams use Share of Model to structure topic clusters and pillar pages tuned for AEO/GEO discovery.
Sales organisations connect Share of Model with MQL/SQL scoring to accelerate the handoff between marketing and sales.
Strategy teams anchor Share of Model in quarterly reviews to keep marketing activity tightly aligned with business KPIs.
Frequently Asked Questions
What is Share of Model?
Share of Model (SoM) is a 2025/26 marketing metric that measures how often a brand appears as source, example or recommendation in answers from generative AI models (ChatGPT, Claude, Gemini, Perplexity) — relative to. In the context of Marketing, Share of Model describes an established approach increasingly used in production by AI-marketing teams to lift efficiency and quality in a measurable way.
Why does Share of Model matter for marketing teams in 2026?
Share of Model gives, for the first time, a measurable indicator for "brand presence in the agentic era". Brands not tracking SoM fly blind — and notice too late that competitors are displacing them from the answer layer. Companies that introduce Share of Model in a structured way typically report 20–40% efficiency gains within the first 6 months.
How do I introduce Share of Model in my company?
A pragmatic rollout of Share of Model starts with a clearly scoped pilot use case, sharp KPIs (e.g. time, cost or conversion impact), a cross-functional team across marketing, data and IT, and a governance baseline aligned with EU AI Act and GDPR. After 6–8 weeks, scale to additional use cases.
What are the risks and pitfalls of Share of Model?
Common pitfalls of Share of Model include vague target outcomes, weak data quality, low team adoption, and bringing privacy and compliance in too late. A structured readiness check, clear ownership and a realistic roadmap materially reduce these risks.