AI Visibility Metrics that actually mean something
For serious SEOs who understand how LLMs really work
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Understand the model associations driving AI visibility
Measure how strongly a model implicitly associates your brand with a category, concept, or outcome using Latent Brand Association (LBA).
Check Your Reputation
Discover if AI models "remember" your brand accurately
Find Open Territory
Identify gaps before your competitors fill them
Diagnose the Problem
Stop guessing why AI overlooks your brand
Reshape AI Memory
Build content that reshapes AI perceptions over time
Optimize for Citations, Not Clicks
Measure how often a model selects your content when competing against real alternatives
Win the Selection Game
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Track your real citation rate across AI responses: See exactly how often models choose your content over competitors' when answering the same question - the metric that actually matters in an AI-driven world.
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Identify what makes content "irresistible" to models: Learn which content formats, structures, and elements make AI systems consistently pick your pages as their most trusted source to cite.
Prompt Rankings Are a Category Error
Prompts are static inputs; models operate as probabilistic systems with variable outputs. Insight requires observing outputs, not cataloging inputs
Track Answers, Not Questions
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The same prompt produces different responses every time: AI models don't have fixed "rankings" for prompts - they generate probabilistic answers that vary based on countless factors, making prompt position tracking as unreliable as measuring the weather once and assuming it never changes.
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What the AI actually says is what your customers see: Your audience doesn't experience the prompt - they experience the answer. Tracking outputs shows you the real brand mentions, recommendations, and context that shape purchasing decisions.
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Don't fall for familiar metrics that don't apply: Prompt ranking feels comfortable because it looks like traditional keyword tracking, but it measures the wrong thing entirely. Focus on whether you appear in responses, not whether you're "ranking" for inputs.
AI Visibility Measured the Way It Actually Works
Visibility is measured across multiple model outputs to reflect AI randomness and temperature - not a single static response.
Measure your Brand's authority across AI models
The LLM Authority Score captures authority as a distribution of visibility, not a fixed position.
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Balance frequency and prominence for a complete picture: See both how often your brand appears in AI responses AND how prominently it's featured - because showing up buried in fifth place 100% of the time tells a very different story than being mentioned first in 60% of responses.
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Get stability in an inherently unstable system: Since AI models generate different answers to the same question, a composite score across multiple responses gives you reliable signal instead of chasing the noise of individual variations.
Measure How Naturally AI Models Recall Your Brand
Top of Mind measures inherent brand recall based on a model's internal representations.
See if models "know" you without searching the web
Understand your baseline brand strength
Identify if you're starting from zero
Benchmark Against Competitors
See how your brand recall compares to competitors the model learned about during the same training period.
Catch Attribution Errors
Discover if models mistakenly associate your innovations or achievements with other brands.
Measure Category Ownership
Learn which specific topics and questions naturally trigger the model to think of your brand first.
Set Realistic Expectations
Understand that low TOM scores aren't quick fixes - they require consistent visibility to shift in future model updates.
Optimize Content for Context-Window Constraints
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Semantic Self-Sufficiency ensures individual content chunks remain correct and understandable when models isolate them.
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Ensures clarity and accuracy when only fragments of a page are retained.
Questions & Answers
1. How is this different from regular SEO?
Traditional SEO optimizes for search engine rankings and clicks. AI visibility focuses on whether language models actually mention, recommend, or cite your brand in their responses. You can rank #1 in Google but still be invisible when someone asks ChatGPT or Claude for recommendations - these are separate challenges that require different strategies.
2. Can I actually change what AI models "think" about my brand?
Yes, but it's a long game, not a quick fix. You can't directly edit a model's training data, but you can create content that becomes part of future training cycles and influences real-time web searches that models use. Think of it like building reputation - consistent, quality presence gradually shifts perception, but there's no overnight solution.
3. How long does it take to see improvements in AI visibility?
For citation rates and real-time visibility (when models search the web), you might see changes in weeks to months. For deeper metrics like Top of Mind or Latent Brand Association - which depend on model retraining - you're looking at 6-18 months or longer. We're honest about this: changing how AI "remembers" you is similar to changing brand perception in general.
4. What if my brand doesn't show up in AI responses at all?
That's actually really common, especially for smaller businesses or newer brands. It means the models either weren't trained on enough data about you, or they associate your category with bigger competitors. The good news: knowing this helps you understand where you actually stand and build a realistic strategy from there.
5. Do I need to understand how AI works to use these insights?
No. You need to understand what the metrics mean for your business, not the neural network architecture behind them. We explain concepts like LBA and TOM in practical terms - think of them as diagnostic tools that tell you "the AI favors your competitor" or "you need more category association," not as technical puzzles to solve.
6. Is AI visibility worth focusing on if I'm a small business?
It depends on your customers. If your audience is starting to use AI tools for research, recommendations, or answers (and data shows they increasingly are), then yes - being invisible in AI responses means losing potential customers. But if your customers aren't using AI tools yet, traditional SEO and marketing might still be higher priority. We won't tell you it's urgent if it's not.