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Geneo

monitor ai search performance

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 11/14/2025

Are you in the answers when your customers ask AI?

Enter your prompt and find out which brands dominate AI search results.

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Brand Performance Across AI Platforms
All 27 brands referenced across AI platforms for this prompt
Local Falcon
4
2
Sentiment:
Score:95
Botify
4
1
Sentiment:
Score:88
Morningscore
3
1
Sentiment:
Score:82
4AI Mode Boost
3
1
Sentiment:
Score:82
5Goodie AI
2
1
Sentiment:
Score:76
Referenced Domains Analysis
All 29 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1localfalcon.com faviconlocalfalcon.com
ChatGPT:
1
Perplexity:
1
Google AIO:
0
2
#2learn.microsoft.com faviconlearn.microsoft.com
ChatGPT:
0
Perplexity:
2
Google AIO:
0
2
#3ibm.com faviconibm.com
ChatGPT:
0
Perplexity:
0
Google AIO:
1
1
#4cribl.io faviconcribl.io
ChatGPT:
0
Perplexity:
0
Google AIO:
1
1
#5quiq.com faviconquiq.com
ChatGPT:
0
Perplexity:
0
Google AIO:
1
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3275 Characters

BRAND (28)

Geneo
Profound
IBM
Azure
Google Analytics
Conductor
Xponent21
Goodie AI
ZipTie
Log Analytics
Morningscore
Otterly
Schema App
AI Mode Boost
Rankability
GetGenie
Local Falcon
Omnius
Mangools
Trakkr
Neontri
Keyword
Magnimind Academy
Botify
Cribl
Quiq
ChatRank.ai
Brightspot

SUMMARY

Provides a comprehensive overview of AI search monitoring with emphasis on specialized tools like Botify Analytics and AI Mode Boost. Focuses on practical implementation strategies for tracking brand visibility, share of voice, sentiment, and citations across AI-driven search environments. Presents a structured approach with numbered recommendations for effective monitoring.

Perplexity

3584 Characters

BRAND (28)

Geneo
Profound
IBM
Azure
Google Analytics
Conductor
Xponent21
Goodie AI
ZipTie
Log Analytics
Morningscore
Otterly
Schema App
AI Mode Boost
Rankability
GetGenie
Local Falcon
Omnius
Mangools
Trakkr
Neontri
Keyword
Magnimind Academy
Botify
Cribl
Quiq
ChatRank.ai
Brightspot

SUMMARY

Delivers a technical deep-dive into AI search performance metrics, emphasizing advanced KPIs like chunk retrieval frequency, embedding relevance scores, and vector indexing. Focuses on sophisticated measurement approaches including retrieval-augmented generation systems, semantic similarity assessments, and AI citation tracking for authority building.

Google AIO

478 Characters

BRAND (28)

Geneo
Profound
IBM
Azure
Google Analytics
Conductor
Xponent21
Goodie AI
ZipTie
Log Analytics
Morningscore
Otterly
Schema App
AI Mode Boost
Rankability
GetGenie
Local Falcon
Omnius
Mangools
Trakkr
Neontri
Keyword
Magnimind Academy
Botify
Cribl
Quiq
ChatRank.ai
Brightspot

SUMMARY

Offers a clear educational distinction between two main monitoring approaches: AI rank tracking for content visibility and AI system monitoring for technical performance. Provides a balanced overview covering both website owners' SEO needs and AI developers' technical requirements for monitoring system health and efficiency.

Strategic Insights & Recommendations

Dominant Brand

AI Mode Boost appears most frequently across platforms, particularly in ChatGPT's recommendations for real-time analytics dashboards.

Platform Gap

ChatGPT emphasizes tool recommendations while Perplexity focuses on technical metrics and Google AIO provides conceptual framework distinctions.

Link Opportunity

All platforms provide extensive linking opportunities with ChatGPT offering 7 links, Google AIO 9 links, and Perplexity leading with 15 citation links.

Key Takeaways for This Prompt

AI search monitoring requires both traditional SEO metrics and new AI-specific KPIs like chunk retrieval frequency and embedding relevance scores.

Specialized tools like Botify Analytics and AI Mode Boost are emerging as essential platforms for comprehensive AI search performance tracking.

Citation tracking and attribution rates in AI-generated responses are becoming critical metrics for measuring content authority and trustworthiness.

The monitoring approach differs significantly between content creators focused on visibility and AI developers focused on system performance metrics.

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