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The Five Modules of OKCita's GEO Score: A Deep Dive

OKCita Team5 min read

OKCita's GEO Score isn't a single number — it's a composite of five specialized modules, each measuring a critical dimension of your AI visibility. Understanding these modules is key to improving how AI platforms represent your brand.

Let's explore each module in detail.

M1: Visibility — Are You Being Mentioned?

The Visibility module is your starting point. It answers the fundamental question: when users ask AI about your category, does your brand come up?

M1 tracks several sub-metrics:

  • Mention Rate: The percentage of relevant prompts where AI mentions your brand
  • Citation Rate: How often AI cites specific sources about your brand
  • Share of Answer: What proportion of the AI's response discusses your brand
  • Correctness: Whether the information AI provides about you is accurate
  • Stability: How consistent mentions are across multiple queries

A brand with high visibility but low correctness has a different problem than one with low visibility altogether. M1 helps you diagnose exactly where you stand.

M2: Clarity — Does AI Understand You?

Being mentioned is only half the battle. M2 measures how clearly AI understands your brand identity:

  • Name Recognition: Does AI consistently use your correct brand name? Misspellings, abbreviations, or confusion with similarly-named entities lower this score
  • Disambiguation Strength: When multiple entities share similar names, can AI correctly identify yours?
  • Attribute Verification: Does AI accurately describe your key attributes — what you do, your features, your target market?
  • Identity Coherence: Are the descriptions consistent across different prompts and contexts?
  • Knowledge Graph Alignment: How well does AI's understanding match established knowledge graphs?

Poor clarity often stems from inconsistent information across the web. If your About page says one thing, your LinkedIn another, and Wikipedia something else, AI gets confused.

M3: Trust — How Credible Are Your Sources?

AI models don't treat all information equally. M3 evaluates the quality of the information ecosystem around your brand:

  • Observed Source Quality: The authority and reliability of sources AI actually uses when discussing your brand
  • Citation Consistency: Whether multiple AI engines cite similar, high-quality sources
  • Fact Verifiability: Can the claims AI makes about you be traced to credible sources?
  • Authority Index: The overall authority of your brand's digital footprint
  • Sentiment Trust Signal: Whether the overall sentiment from trusted sources is positive

To improve M3, focus on getting mentioned in authoritative publications, maintaining consistent information across platforms, and ensuring your claims are verifiable.

M4: Competitive — How Do You Compare?

No brand exists in isolation. M4 measures your position relative to competitors:

  • Share of Voice: What percentage of competitive prompts mention your brand vs. competitors?
  • Missing Prompts: Are there question types where competitors appear but you don't?
  • Gap Drivers: What specific factors cause competitors to outperform you in certain contexts?
  • Recommendation Position: When AI lists options, where does your brand typically appear?
  • Competitive Sentiment: How does AI's tone about your brand compare to competitors?

M4 is particularly valuable for identifying specific areas where competitors have an advantage. Maybe they're mentioned more in pricing discussions, or perhaps they dominate technical comparison queries.

M5: Readiness — Is Your Infrastructure Optimized?

M5 is the most actionable module. It evaluates how well your digital infrastructure supports AI discovery:

  • Crawlability: Can AI systems access and process your website content?
  • Structured Data: Do you use schema.org markup, JSON-LD, and other structured formats?
  • Content Structure: Is your content organized in a way that AI can easily extract and summarize?
  • AI Crawler Access: Do your robots.txt and server configurations allow AI training crawlers?
  • Technical SEO Foundation: Basic technical elements that support both traditional and AI-based discovery

Unlike other modules that depend on external factors, M5 is largely within your control. Implementing structured data, fixing crawlability issues, and optimizing content structure can yield quick improvements.

How the Modules Work Together

The five modules aren't independent — they form an interconnected system:

  1. M5 Readiness → Creates the foundation for AI to discover you
  2. M1 Visibility → Measures whether that foundation translates to mentions
  3. M2 Clarity → Ensures those mentions are accurate and clear
  4. M3 Trust → Validates the credibility of your brand information
  5. M4 Competitive → Contextualizes your performance against the market

A common pattern we see: brands with high M5 but low M1 have great infrastructure but haven't generated enough authoritative content. Brands with high M1 but low M2 are mentioned often but misunderstood.

Actionable Next Steps

After running your first score with OKCita, focus on:

  1. Quick wins: Address M5 issues first — these are within your control
  2. Content gaps: Use M4 insights to identify topics where you're missing
  3. Accuracy fixes: Address M2 clarity issues by standardizing brand information
  4. Authority building: Improve M3 by pursuing mentions in authoritative publications
  5. Monitoring: Track M1 trends to measure the impact of your optimizations

Each module score comes with specific opportunities and fix packs — actionable recommendations tailored to your brand's unique profile.

Ready to see your scores? Start your first analysis with OKCita today.