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Geneo

ways to optimize brand messaging for large language models

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 08/20/2025

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 19 brands referenced across AI platforms for this prompt
Semrush
1
2
Sentiment:
Score:95
Writesonic
1
1
Sentiment:
Score:82
Cohn Marketing
1
1
Sentiment:
Score:82
4Varn
1
1
Sentiment:
Score:82
5Fioshub
1
1
Sentiment:
Score:82
Referenced Domains Analysis
All 20 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1meetyogi.com faviconmeetyogi.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#2copy.ai faviconcopy.ai
ChatGPT:
0
Perplexity:
0
Google AIO:
1
1
#3userp.io faviconuserp.io
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4arxiv.org faviconarxiv.org
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#5phrase.com faviconphrase.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

2852 Characters

BRAND (19)

Semrush
Writesonic
uSERP
Jasper
Grammarly
Copy.ai
Writer
Wordtune
Contentful
LeewayHertz
iMark Infotech
Phrase
Cohn Marketing
Varn
Fioshub
Stradiji
Enrollify Podcast
Meetyogi
Bluetext

SUMMARY

ChatGPT provides a structured 7-step approach to LLM optimization focusing on establishing a unique value proposition, creating original content, maintaining consistent messaging, enhancing technical accessibility, building authority through digital PR, implementing structured data, and continuous monitoring. The response emphasizes practical implementation with specific technical recommendations like server-side rendering and schema markup.

Perplexity

2790 Characters

BRAND (19)

Semrush
Writesonic
uSERP
Jasper
Grammarly
Copy.ai
Writer
Wordtune
Contentful
LeewayHertz
iMark Infotech
Phrase
Cohn Marketing
Varn
Fioshub
Stradiji
Enrollify Podcast
Meetyogi
Bluetext

SUMMARY

Perplexity offers a technical perspective on LLM optimization, emphasizing prompt engineering, model fine-tuning with proprietary data, and Retrieval-Augmented Generation (RAG). The response focuses on enterprise-level strategies including feedback loops, cross-functional collaboration, and compliance considerations specifically for the U.S. market, with attention to regulatory requirements and AI-enhanced search platforms.

Google AIO

753 Characters

BRAND (19)

Semrush
Writesonic
uSERP
Jasper
Grammarly
Copy.ai
Writer
Wordtune
Contentful
LeewayHertz
iMark Infotech
Phrase
Cohn Marketing
Varn
Fioshub
Stradiji
Enrollify Podcast
Meetyogi
Bluetext

SUMMARY

Google AIO delivers the most comprehensive guide, covering solution-focused messaging, rich contextual content, quote-worthy research, digital PR for topic-brand associations, user-generated content, schema markup, AI-readable formatting, brand-specific examples, consistent tone development, and monitoring strategies. The response provides actionable implementation details and tool recommendations.

Strategic Insights & Recommendations

Dominant Brand

Semrush appears most frequently across platforms as a key resource for LLM optimization strategies and monitoring tools.

Platform Gap

ChatGPT focuses on foundational SEO-like strategies, Perplexity emphasizes technical enterprise implementation, while Google AIO provides the most comprehensive tactical approach.

Link Opportunity

Multiple platforms reference similar optimization concepts, creating opportunities for comprehensive guides that bridge technical implementation with practical marketing strategies.

Key Takeaways for This Prompt

All platforms agree that consistent, original content creation is fundamental to LLM optimization success.

Technical accessibility through proper website structure and schema markup is crucial for LLM content discovery.

Building authority through digital PR and expert mentions significantly improves brand representation in AI responses.

Continuous monitoring and adaptation of brand messaging strategies is essential as LLM technology evolves.

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