how to rank in ai search
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1Google | 7 | 3 | 75 |
Strategic Insights & Recommendations
Dominant Brand
Google dominates the AI search landscape with its AI Overviews and Search Essentials guidelines being referenced across all platforms.
Platform Gap
ChatGPT focuses on practical implementation steps, Google AIO emphasizes content quality and user experience, while Perplexity provides technical depth and algorithmic understanding.
Link Opportunity
There's significant opportunity to create comprehensive guides linking to schema.org documentation, Google's Search Essentials, and AI search optimization tools.
Key Takeaways for This Prompt
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is crucial for AI search ranking across all platforms.
Structured data markup and schema implementation help AI systems better understand and categorize content.
Conversational query optimization and natural language patterns are essential for voice search and AI interactions.
Traditional SEO fundamentals remain important but must be adapted for AI's semantic understanding capabilities.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (1)
SUMMARY
ChatGPT provides a comprehensive 7-step strategy for ranking in AI search, emphasizing high-quality content creation, conversational query optimization, structured data implementation, E-E-A-T enhancement, technical SEO, quality backlinks, and content freshness. The response focuses on practical implementation with specific tools and techniques like schema markup validation and CDN usage.
REFERENCES (5)
Perplexity
BRAND (1)
SUMMARY
Perplexity delivers a technical analysis of AI search ranking, explaining how AI algorithms understand context and semantics beyond keyword matching. It provides a detailed strategy table covering seven key areas: understanding AI algorithms, creating authoritative content, implementing structured data, building backlinks, matching search intent, maintaining technical SEO, and regular content updates.
REFERENCES (8)
Google AIO
BRAND (1)
SUMMARY
Google AIO offers a structured approach focusing on direct answer provision, E-E-A-T prioritization, and conversational query optimization. It emphasizes creating exceptional content that avoids AI-generated material, using clear formatting with headings and bullet points, and maintaining technical SEO fundamentals while building brand authority.
REFERENCES (16)
Share Report
Share this AI visibility analysis report with others through social media