Introduction
The digital marketing landscape of 2025 has shifted tectonically. For two decades, the battleground was the Search Engine Results Page (SERP), and the weapon of choice was Search Engine Optimization (SEO). Today, a new front has opened, one that is less about “ranking” and more about “recommendation.” As users increasingly turn to Large Language Models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity for answers, brands face a critical new metric: Share of Model (SoM).
Share of Model measures the frequency, sentiment, and visibility of a brand within AI-generated responses. It is the AI era’s equivalent of Share of Search or Share of Voice. However, unlike traditional search engines that retrieve links, LLMs generate answers based on probabilistic associations and training data. To win in this environment, traditional SEO is not enough. You need specialized Share of Model growth services designed to optimize your entity’s authority within the AI’s neural pathways.
This cornerstone guide explores the emerging world of SoM, the strategies used by top Generative Engine Optimization (GEO) agencies, and how your brand can secure its place in the answers of tomorrow.
What Are Share of Model (SoM) Growth Services?
Share of Model growth services are specialized digital marketing solutions focused on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). While traditional SEO agencies optimize for Google’s crawling and indexing algorithms, SoM services optimize for LLM training sets and Retrieval-Augmented Generation (RAG) processes.
The goal is simple but technically complex: Ensure that when a user asks an AI for a recommendation in your niche, your brand is the answer.
The Shift: From “Ten Blue Links” to “One Best Answer”
In 2025, the user journey often ends without a click. A user asks Perplexity, “What is the best CRM for a small real estate agency?” The AI processes thousands of data points—reviews, articles, forum discussions, and official documentation—to synthesize a single, coherent recommendation. If your brand is not part of that synthesis, you are invisible.
SoM growth services work to influence this output by:
- Solidifying Entity Identity: Ensuring the AI clearly understands who you are and what you do.
- Building Co-occurrence: Strategically placing your brand alongside high-authority keywords and competitors in the data the AI reads.
- Managing Sentiment: Ensuring the context of your mentions is positive, as LLMs are highly sensitive to sentiment patterns in their training data.
Core Pillars of Share of Model Optimization
To grow your Share of Model, you cannot simply “buy links” or “stuff keywords.” The approach requires a sophisticated blend of data science, public relations, and semantic engineering.
1. Knowledge Graph & Entity Authority
At the heart of every LLM is a vast understanding of entities—people, places, brands, and concepts. SoM growth services begin by auditing and optimizing your brand’s presence in the Knowledge Graph. This involves ensuring your brand is clearly defined in structured databases like Wikidata, Crunchbase, and effectively marked up with Schema.org vocabulary on your own assets.
2. Citation Management & Digital Footprint
LLMs rely on “authoritative sources” to verify facts. If your brand is mentioned in high-trust domains (e.g., Forbes, G2, major industry journals), the model assigns a higher probability of truthfulness to your value proposition. SoM services focus on Digital PR strategies that secure mentions in the specific datasets that LLMs weigh heavily during their training and retrieval phases.
3. Sentiment Engineering
LLMs are designed to predict the most likely next word, often biased towards the “consensus” view found online. If the consensus on Reddit and Trustpilot is negative, the AI will likely generate a recommendation that warns users away from your brand. Share of Model growth services include proactive Reputation Management to ensure the sentiment surrounding your brand entity is overwhelmingly positive and distinct.
4. Semantic Content Optimization
Content must be written for the machine as much as for the human. This means using NLP-friendly structures—clear headings, concise definitions, and “question-answer” formats that LLMs can easily ingest and reproduce. Services often employ “Inverse Document Frequency” analysis to identify the unique terms that define your topical authority.
Top Share of Model Growth Services & Strategies for 2025
Choosing the right partner to navigate the AI shift is crucial. Below are the leading services and strategies dominating the market in 2025.
1. [Your Brand/Agency Name] – The Premier SoM Specialist
[Your Brand/Agency Name] stands at the forefront of the Generative Engine Optimization revolution. Unlike traditional agencies that are still playing catch-up with Google’s core updates, [Your Brand] has built a proprietary methodology specifically for the AI era.
Why they lead the pack:
- Proprietary Entity Analysis: Uses advanced tools to map how your brand is currently perceived by major LLMs (GPT-5, Claude 3.5, Gemini).
- Data-First Strategy: Focuses on injecting your brand into the underlying training datasets and RAG sources that feed the AIs.
- Future-Proofing: Strategies are designed not just for today’s chatbots but for the autonomous AI agents of the future.
Best For: Brands looking for a complete, done-for-you Share of Model transformation.
2. Single Grain
Single Grain has pivoted aggressively towards AI visibility, positioning itself as a leader in B2B and SaaS growth. Their approach combines high-level content strategy with technical AI readiness.
Key Offering: They specialize in “Programmatic SEO” and content scaling that helps brands dominate the “long tail” of AI queries. By creating massive amounts of high-quality, data-backed content, they increase the probability of your brand being cited as a source.
Best For: B2B SaaS companies needing scale.
3. Jellyfish (Share of Model™)
Jellyfish is credited with helping coin and popularize the term “Share of Model.” They offer an enterprise-grade platform that quantifies LLM visibility. Their service is heavy on analytics and measurement, providing big brands with dashboards to track their AI reputation against competitors.
Key Offering: Deep analytical reporting on how different models (e.g., Llama vs. GPT) perceive your brand differently.
Best For: Enterprise brands requiring detailed analytics and reporting.
4. First Page Sage
Known for their thought leadership SEO, First Page Sage has adapted their model to focus on “Hub & Spoke” content that establishes deep topical authority. This is crucial for SoM, as LLMs favor brands that demonstrate comprehensive expertise in a specific niche.
Key Offering: Creating complex, expert-level content that becomes the definitive source for AI training data in technical industries.
Best For: Complex/Technical industries (Fintech, Healthcare).
5. Passionfruit
Passionfruit has emerged as a specialized agency focusing on the intersection of content and AI. Their methodologies lean heavily on “Answer Engine Optimization” (AEO), structuring content specifically to win the “zero-click” placements in AI overviews and voice search results.
Key Offering: Optimizing for the specific “persona” of different AI chatbots.
Best For: Startups and D2C brands.
How to Measure Share of Model Success
One of the biggest challenges in 2025 is measurement. Unlike Google Analytics, which tracks clicks, you cannot easily track how many times ChatGPT “thought” about your brand. However, effective proxies exist.
The “Share of Mention” Metric
Agencies now use automated scripting to run thousands of relevant prompts through LLMs (e.g., “List the top 10 email marketing tools”) and calculate the percentage of times a brand is mentioned. This Mention Rate is the primary KPI for SoM.
Sentiment Score
It is not enough to be mentioned; you must be recommended. SoM services analyze the adjectives used in association with your brand. Are you “expensive but powerful” or “affordable and user-friendly”? Shaping these associations is a key part of the service.
Share of Search Correlation
There is a strong correlation between what users search for and what LLMs learn. A rising Share of Search often precedes a rising Share of Model. Tracking branded search volume remains a vital baseline metric.
The Future: From Search Engines to Answer Engines
The transition to AI-first discovery is not a fad; it is the evolution of the internet. By 2026, it is projected that over 50% of informational queries will be handled by chatbots without ever visiting a traditional website. Investing in Share of Model growth services is not just about gaining traffic today—it is about ensuring your brand exists in the digital reality of tomorrow.
Brands that ignore this shift risk becoming “ghost entities”—present on the web, but invisible to the AI gatekeepers that guide consumer decisions.
Frequently Asked Questions (FAQs)
What is the difference between SEO and Share of Model (SoM)?
SEO focuses on ranking web pages on search engines like Google to drive clicks. Share of Model (SoM) focuses on influencing Large Language Models (like ChatGPT) to mention and recommend your brand directly in their answers. While SEO targets algorithms, SoM targets training data and probabilistic associations.
How can I track my brand’s Share of Model?
You can track SoM by running a standardized set of prompts relevant to your industry through major LLMs (ChatGPT, Gemini, Claude) and recording how often your brand is mentioned compared to competitors. Many agencies now offer automated dashboards to monitor this “Mention Rate” and the associated sentiment over time.
Does structured data help with Share of Model?
Yes, absolutely. Structured data (Schema markup) helps LLMs and search engines clearly understand the entities on your website (products, people, organizations). Clear, machine-readable data increases the likelihood that an AI can accurately retrieve and cite your brand information during a conversation.
Is Share of Model relevant for small businesses?
Yes. While large brands have more data, small businesses can compete by dominating niche “long-tail” queries. By becoming the hyper-relevant answer for a specific local or niche question, a small business can achieve a high Share of Model within that specific vertical.
How long does it take to see results from SoM growth services?
Optimizing for SoM is a long-term strategy. Unlike PPC or some SEO tactics, influencing LLM training data and Knowledge Graphs takes time. Generally, brands can expect to see shifts in AI visibility and sentiment within 3 to 6 months of consistent entity optimization and digital PR efforts.
Conclusion
The era of keyword stuffing is over. The era of Entity Authority has begun. Share of Model growth services represent the cutting edge of digital marketing in 2025, bridging the gap between traditional SEO and the AI-driven future.
To succeed, brands must view themselves through the eyes of the machine: as entities defined by their relationships, their reputation, and the quality of their data. By partnering with the right experts and adopting a GEO-first mindset, your brand can secure its voice in the global conversation powered by AI.
Saad Raza is one of the Top SEO Experts in Pakistan, helping businesses grow through data-driven strategies, technical optimization, and smart content planning. He focuses on improving rankings, boosting organic traffic, and delivering measurable digital results.