The Death of Rank Tracking: How to Measure "Share of Model" in 2025
For the last 15 years, the Monday morning routine for every Marketing Director has been the same: Open the Rank Tracker. Check if the "Money Keyword" moved from Position 4 to Position 3. Celebrate or panic accordingly.
In 2025, this ritual is becoming a delusion.
When a user asks ChatGPT, "What is the best CRM for a dental practice?", there is no "Page 1." There is no "Position 3." There is only the answer. The AI either recommends you, or it doesn't. It is binary.
If your dashboard shows you ranking #1 on Google for a keyword, but ChatGPT tells the user to buy your competitor, you have lost the sale. And your analytics will never show you why.
This is the measurement crisis of the "Search Everywhere" era. The old metrics (Rankings, CTR, Sessions) are failing to capture the new reality of Influence.
In this final guide of our tactical series, we are introducing the new North Star metric for 2025: Share of Model (SoM). We will explain what it is, why it replaces Rank Tracking, and how you can measure it manually without expensive enterprise software.
Context: This is the final step in our "Search Everywhere" framework.
- First, we built your Identity (The Entity Home).
- Then, we secured your Truth in our guide on Brand Safety & Hallucinations.
- Now, we answer the final question: Is it working?
The Metric Shift: From "Share of Voice" to "Share of Model"
In traditional advertising, Share of Voice (SoV) measured how much ad space you bought compared to competitors. In SEO, Share of Search measured how often people Googled your name.
Share of Model (SoM) measures the frequency and sentiment with which a Large Language Model (LLM) cites your brand as a solution to a relevant problem.
It answers three critical questions that Google Analytics cannot:
- Visibility: Does the AI know I exist? (Identity)
- Recommendation: Does the AI suggest me as the primary solution? (Influence)
- Accuracy: Is the AI describing my pricing and features correctly? (Safety)
If you have followed our previous guides—building your Entity Home and anchoring your data—your SoM should be rising. Here is exactly how to track it.
Level 1: The "Manual Pulse" Audit (Free)
You don't need a $5,000/month enterprise tool to start measuring this. You just need a spreadsheet and an Incognito window.
The "Prompt Audit" Protocol:
- Select Your "Money" Prompts: Identify the top 5 questions users ask before buying your product. (e.g., "Best email marketing tool for creators," "Mailchimp vs ConvertKit").
- Query the "Big 3": Run these prompts through ChatGPT (OpenAI), Perplexity (Search-based), and Google Gemini (Google ecosystem).
- Score the Output:
- Mention: Did you appear in the text? (Yes/No)
- Recommendation: Were you the primary suggestion? (Yes/No)
- Sentiment: Was the description positive, neutral, or negative?
If you run this weekly, you will see a trend line. If you optimize your schema and see your Perplexity mentions go from 0% to 100%, you have tangible proof of ROI that "rankings" could never show you.
Level 2: The "Share of Search" Proxy
Since we cannot see inside the "black box" of OpenAI's private traffic logs, we must look for the downstream effect.
When a user finds a new brand on ChatGPT or TikTok, their next step is almost always a Navigational Search on Google. They type your brand name to find your login page or pricing.
Therefore, a spike in "Direct Brand Search Volume" on Google Trends is the strongest correlation to a high Share of Model.
The Proxy Formula:
(Your Brand Search Volume) / (Total Competitor Brand Search Volume) = Share of Search
If your blog traffic is flat, but your Brand Search is rising, do not fire your SEO agency. It means your "Search Everywhere" strategy is working. You are building demand off-platform (in the AI) that is being captured on-platform (via Google).
Level 3: The Technical Score (Your Diagnostic)
Why do some brands have a high Share of Model while others are invisible? It usually comes down to Technical Ingestibility.
If your site is slow, your schema is broken, or your content is trapped in "Div Soup," the AI cannot digest you. It will ignore you in favor of a site that is easier to read.
This is why we built the Website AI Score.
It is not just an SEO audit. It scans your site specifically for LLM Readability. It checks:
- Schema Density: Do you have the code to feed the robot?
- Content Structure: Is your data anchored in tables?
- Entity Clarity: Is your identity disambiguated?
A low AI Score is a leading indicator of a low Share of Model. Fix the technical foundation, and the mentions will follow.
Conclusion: The New Dashboard
The dashboard of 2025 looks different.
- Old World: Rankings, Organic Sessions, Bounce Rate.
- New World: Share of Model, Brand Search Volume, AI Score.
This transition is scary because it requires letting go of the metrics that made us feel safe. But "Rank #1" is a vanity metric if the user never clicks it.
The goal of this series was to give you the blueprint for the new reality:
- Build your Identity (Entity Home).
- Protect your Data (Data Anchoring).
- Measure your Influence (Share of Model).
The algorithms are changing. The platforms are fragmenting. But the core principle remains the same: The brand that is the easiest to trust is the brand that wins.
References & Further Reading
- Google Trends: Using Google Trends for Brand Health. Official guide on using search volume as a proxy for brand awareness. https://newsinitiative.withgoogle.com/resources/lessons/google-trends-for-brand-health/
- Bain & Company: The Future of Search. Analysis of how AI is shifting consumer search behavior from keywords to conversations. https://www.bain.com/insights/topics/generative-ai/
- Website AI Score: Brand Safety in the AI Era. Our guide on preventing hallucinations. https://websiteaiscore.com/blog/brand-safety-ai-hallucinations-pricing
