Interpreting AI Model Results

MentionRank scans multiple AI platforms. Understanding how each one works helps you interpret your results.

AI Models We Scan

ChatGPT (OpenAI)

• Models: GPT-4o and other variants
• Training data: Web content, books, articles
• Behavior: Conversational, tends to give balanced recommendations
• Why it matters: One of the most widely used AI assistants

Claude (Anthropic)

• Models: Claude 3.5 Sonnet and other variants
• Training data: Web content with safety focus
• Behavior: Detailed, often cites multiple options
• Why it matters: Growing user base, known for nuanced responses

Gemini (Google)

• Models: Gemini Pro and other variants
• Training data: Web plus Google's knowledge graph
• Behavior: Often integrates with Google Search context
• Why it matters: Integrated into Google's ecosystem

Perplexity

• Models: Perplexity Sonar and other variants
• Training data: Real-time web search
• Behavior: Cites sources, very current information
• Why it matters: Growing as an AI-powered search alternative

Grok (xAI)

• Models: Grok 3 and variants
• Training data: Web content plus real-time data
• Behavior: Often includes current information
• Why it matters: Growing presence in the AI assistant space

Model-by-Model Analysis

In your dashboard, click your score to see per-model breakdown:

What to Look For

Consistent visibility across models = Strong brand recognition

• Your brand is well-known and frequently discussed

High on one, low on others = Opportunity to improve

• May indicate reliance on one platform or content type

Low across all = Work needed

• Focus on fundamental brand visibility improvements

Why Results Vary

Different AI models give different results because:

1. Training data differs - Each model uses different content sources
2. Timing varies - Training cutoff dates differ
3. Algorithms differ - Each model prioritizes differently
4. Context matters - Same query, different interpretations

Actionable Insights

If ChatGPT mentions you but Claude doesn't:

• Check for content that Claude might weight differently
• Ensure your messaging is consistent across channels

If Perplexity mentions you but others don't:

• Your recent content is strong
• Older training data may not include you

If no models mention you:

• Focus on fundamental SEO and content
• Build more industry citations and mentions
• Consider PR and thought leadership

Tracking Changes Over Time

AI models are regularly updated. Track your performance over time to see:

• Impact of new model versions
• How your content investments pay off
• Seasonal or industry trends