How to Track AI Visibility with Vyzz (A Strategic Guide)

The Invisible Funnel Killing Your Attribution Model

If you are a marketing leader today, you have a blind spot in your analytics that is likely costing you 10-20% of your bottom-line attribution.

For two decades, the playbook was clear: Input (Content/Backlinks) $\rightarrow$ Black Box (Google Algorithm) $\rightarrow$ Output (Rankings/Traffic). You could track every step. You knew exactly where you stood for "best CRM for startups."

That era is ending.

Today, your high-intent customers aren't Googling generic keywords. They are having conversations with ChatGPT, Claude, and Perplexity. They are asking: _"I need a CRM for a Series A startup that integrates with HubSpot and doesn't cost a fortune. What do you recommend?"_

The AI answers with a single paragraph, recommending three brands. If you aren't one of them, you don't exist.

There is no "Page 2" in a chat interface. There is no click-through rate to measure because the user might never leave the chat. This is the Invisible Funnel.

Tools like Vyzz (getvyzz.io) have emerged to solve this specific crisis. They don't track _ranks_; they track _mentions_. They measure the "Share of Mind" your brand occupies inside the Large Language Models (LLMs).

Here is how to use Vyzz to build a visibility engine for the AI era.

The Mechanic: How Vyzz Actually Works

To understand the strategy, you must understand the tool. Traditional SEO tools (Ahrefs, Semrush) work by crawling the web and indexing links. They are useless for LLMs because LLMs don't just "read" the web—they _synthesize_ it.

Vyzz operates differently. It functions as a probalistic probe.

Instead of checking a static database, Vyzz fundamentally "interviews" the AI models repeatedly. It fires thousands of variations of prompts relevant to your industry (e.g., "Best marketing tools," "Top agencies in NYC") and analyzes the text responses.

It extracts three critical signals that traditional tools miss: Presence (Share of Voice): How often does your brand appear in the answer? (e.g., "You appeared in 40% of responses for 'best project management software'"). Sentiment Velocity: Is the AI talking about you positively, neutral, or negatively? Crucially, is this changing over time? Citation Authority: When the AI _does_ link out (like in Perplexity or SearchGPT), is it linking to your homepage, a review site, or a PR article?

Step 1: The "Zero-Click" Audit

The first step with Vyzz is to run a "Zero-Click" audit. You need to know if you are even in the consideration set.

Most Founders believe that if they have good SEO, they have good AI visibility. This is false. We frequently see brands with strong Domain Authority (DA 60+) that are completely invisible to ChatGPT. Why? Because their content is "marketing fluff" that the LLM filters out as low-information density.

The Vyzz Audit Workflow: • Define your "Golden Prompts": Don't just use keywords. Use questions. Instead of "email marketing software," track _"What is the best email marketing tool for high-volume senders?"_ • Run the Probe: Vyzz will query the major models (GPT-4, Claude 3.5, Perplexity). • Analyze the Gap: You will likely find you are mentioned 0% of the time. Who is winning? likely a competitor who has been heavily mentioned in "listicles" and Reddit threads (data sources LLMs over-index on).

Step 2: Optimizing for "Co-Occurrence"

Once you have your baseline from Vyzz, you need to fix it. You cannot "buy" a placement in an LLM response. You have to earn it through Entity Association.

LLMs work on probability. They predict the next word. If the model frequently sees the words "Salesforce," "HubSpot," and "YourBrand" together in high-authority texts, it will statistically associate them.

Use Vyzz to identify the "Co-occurrence Winners"—the brands that currently dominate the answers for your target prompts.

The Play: • Identify the Winners: Vyzz shows that Competitor X is mentioned in 80% of answers. • Reverse Engineer Sources: Use Perplexity or Vyzz’s citation data to see _where_ Competitor X is getting its authority. Is it G2 Crowd? TechCrunch? A specific Substack? • Force Association: You need to get your brand mentioned _in the same sentence_ or _paragraph_ as the market leader on third-party sites. • _Bad:_ A dedicated press release about you. (Isolated node). • _Good:_ A "Top 10" listicle where you are listed next to the market leader. (Connected node).

Step 3: Tracking Sentiment Drift

This is the most dangerous metric Vyzz tracks.

In traditional SEO, a bad review might hurt conversion, but it doesn't delete your ranking. In AI Search, negative sentiment acts as a filter. If an LLM detects a pattern of "scam," "expensive," or "buggy" associated with your brand entity, it may _suppress_ you from recommendations entirely to protect its own utility score.

The Vyzz Protocol for Sentiment: Monitor the Adjectives: Vyzz extracts the adjectives used to describe your brand. Are you "cheap" or "affordable"? Are you "complex" or "robust"? The Drift Alert: Set up alerts for _Sentiment Drift_. If you suddenly drop from "Positive" to "Neutral," it means the model has ingested new, conflicting data (likely a viral complaint or a competitor's negative PR campaign). Correction: You cannot "delete" the bad data. You must "dilute" it. Flood the Knowledge Graph with high-specificity, positive content (case studies, white papers) that forces the model to re-weight its tokens.

The "Knowledge Graph" Window is Closing

There is a distinct urgency here. LLMs are "calcifying."

The major models are being retrained on massive datasets. Once an association is deeply embedded in the model's weights (e.g., "Nike" = "Running Shoes"), it becomes incredibly expensive and difficult to shift that probability.

Right now, for many B2B and niche consumer verticals, the "Knowledge Graph" is still malleable. The brands that use tools like Vyzz to measure and optimize their entity relationships _today_ will be the default recommendations for the next five years of AI-driven search.

Summary Action Plan: Get a Baseline: Use Vyzz to see if you exist in the "Mind" of GPT-4. Stop counting clicks: Start counting "Mentions" and "Recommendations." Build the Entity: Focus on Co-occurrence and Sentiment, not just backlinks.

The brands that ignore this will continue optimizing for a search engine that fewer and fewer people are using.