Rank tracking measures the wrong thing now. The new North Star is Share of Model (SoM): how often AI cites your brand as the solution. You can measure it manually with a spreadsheet and an incognito window. Pair it with Brand Search Volume in Google Trends as a downstream proxy.
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's no Page 1. No Position 3. There's only the answer. The AI either recommends you, or it doesn't. Binary.
If your dashboard shows you ranking #1 on Google for a keyword but ChatGPT tells the user to buy your competitor, you've 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) fail to capture the new reality of influence.
In this final guide of our tactical series, we introduce the new North Star metric: Share of Model (SoM). What it is, why it replaces rank tracking, and how to measure it manually without expensive enterprise software.
- First we built your identity in the Entity Home guide.
- Then we secured your truth in 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 an LLM cites your brand as a solution to a relevant problem.
It answers three questions Google Analytics can't:
If you've followed our previous guides (built your Entity Home, anchored your data), your SoM should be rising. Here's exactly how to track it, across three levels of rigor.
Level 1: The "Manual Pulse" Audit (Free)
You don't need a $5,000/month enterprise tool to start. You need a spreadsheet and an incognito window.
Identify the top 5 questions users ask before buying (e.g. "Best email marketing tool for creators," "Mailchimp vs ConvertKit").
Run these prompts through ChatGPT, Perplexity, and Google Gemini.
- Mention: did you appear in the text? (Yes/No)
- Recommendation: were you the primary suggestion? (Yes/No)
- Sentiment: positive, neutral, or negative?
Run this weekly and a trend line emerges. If you optimize your schema and watch your Perplexity mentions go from 0% to 100%, you have tangible proof of ROI that rankings could never show. This is the same audit cadence we recommend in From Traffic to Citations.
Level 2: The "Share of Search" Proxy
Since we can't see inside the black box of OpenAI's private traffic logs, we 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 or pricing page. A spike in direct brand search volume on Google Trends is the strongest correlation to a high Share of Model.
(Brand Search Volume) ÷ (Competitor Brand Search Volume) = Share of Search
If your blog traffic is flat but your brand search is rising, don't fire your SEO agency. Your Search Everywhere strategy is working. You're building demand off-platform (in the AI) that's being captured on-platform (via Google). The full ecosystem logic is in our Search Everywhere framework.
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 can't digest you. It will ignore you in favor of a site that's easier to read.
That's why we built WebsiteAIScore. Not just an SEO audit. It scans your site specifically for LLM readability: schema density (do you have the code to feed the robot?), content structure (is your data anchored in tables?), and 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 follow.
Get your AI readability score before your competitors do.
Free scan across schema density, content structure, and entity clarity. The leading indicator of your future Share of Model.
Get your AI Score free →The New Dashboard
The dashboard of 2025 looks different.
- Rankings
- Organic sessions
- Bounce rate
- Share of Model
- Brand search volume
- AI Score
The transition is scary because it requires letting go of the metrics that made us feel safe. "Rank #1" is a vanity metric if the user never clicks it. The blueprint for the new reality is simple: build your identity (Entity Home), protect your data (Data Anchoring), measure your influence (Share of Model).
The algorithms are changing. The platforms are fragmenting. The core principle stays the same: the brand that's 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
