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Geneo
AI Visibility Report
12/15/2025
Live Analysis:
ChatGPT_

AI Visibility Report for
buildingSaaSwithmicro-frontends

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 11 brands referenced across AI platforms for this prompt
Vercel
5
1
Sentiment:
Score:95
AWS
4
1
Sentiment:
Score:89
Modyo
4
1
Sentiment:
Score:89
4Webpack
4
0
Sentiment:
Score:82
5MetricDust
2
1
Sentiment:
Score:77
Referenced Domains Analysis
All 13 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1infoq.com faviconinfoq.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#2modyo.com faviconmodyo.com
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1
#3vercel.com faviconvercel.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4crudcook.com faviconcrudcook.com
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1
#5linkedin.com faviconlinkedin.com
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3471 Characters

BRAND (11)

AWS
LinkedIn
Webpack
Vercel
Next.js
Single-spa
MetricDust
NGINX
Modyo
CrudCook
Rspack

SUMMARY

ChatGPT provides a structured educational overview of micro-frontends for SaaS development, explaining the concept as an extension of microservices to the frontend. The response covers what micro-frontends are, their benefits for scalability and team autonomy, and how they enable independent development and deployment of UI modules. It emphasizes the business domain approach and technology flexibility.

Perplexity

3545 Characters

BRAND (11)

AWS
LinkedIn
Webpack
Vercel
Next.js
Single-spa
MetricDust
NGINX
Modyo
CrudCook
Rspack

SUMMARY

Perplexity delivers a comprehensive technical analysis of micro-frontends in SaaS applications, emphasizing the architectural benefits of treating frontends as compositions of features. The response covers core principles including technology independence, independent deployment, and team autonomy. It provides specific examples like order carts and dashboard widgets, highlighting how this approach mirrors microservices architecture for UI components.

Google AIO

0 Characters

BRAND (11)

AWS
LinkedIn
Webpack
Vercel
Next.js
Single-spa
MetricDust
NGINX
Modyo
CrudCook
Rspack

SUMMARY

No summary available.

Strategic Insights & Recommendations

Dominant Brand

Modyo appears as the most prominently mentioned brand with 4 mentions in ChatGPT's response, suggesting it as a notable platform for micro-frontend implementation.

Platform Gap

ChatGPT provides a more introductory educational approach while Perplexity offers deeper technical implementation details, with Google AIO providing no response to this technical query.

Link Opportunity

Both platforms reference external sources extensively, indicating strong opportunities for authoritative content on micro-frontend architecture patterns and implementation guides.

Key Takeaways for This Prompt

Micro-frontends extend microservices principles to frontend architecture, enabling independent team development and deployment.

This approach is particularly beneficial for SaaS applications requiring scalability and rapid feature delivery across multiple teams.

Technology independence allows teams to use different frameworks (React, Angular, Vue) without coordination overhead.

The architecture supports bounded contexts where each team owns specific business domains like dashboards or user-facing components.

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