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Geneo

ways to reduce AWS spend for SaaS

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 11/15/2025

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Brand Performance Across AI Platforms
All 8 brands referenced across AI platforms for this prompt
AWS
29
6
Sentiment:
Score:95
nOps
1
2
Sentiment:
Score:58
Cloudkeeper
2
1
Sentiment:
Score:58
4Spendflo
0
2
Sentiment:
Score:57
5AWS Lambda
2
0
Sentiment:
Score:56
Referenced Domains Analysis
All 24 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1aws.amazon.com faviconaws.amazon.com
ChatGPT:
0
Perplexity:
4
Google AIO:
1
5
#2nops.io faviconnops.io
ChatGPT:
0
Perplexity:
0
Google AIO:
2
2
#3spendflo.com faviconspendflo.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#4dev.to favicondev.to
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#5ey.com faviconey.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3772 Characters

BRAND (9)

精选行业Query
AWS
AWS Lambda
Spendflo
Amazon S3
nOps
Cloudkeeper
CAST AI
ProsperOps

SUMMARY

Provides a detailed, structured approach to AWS cost optimization focusing on right-sizing resources and implementing auto-scaling. Emphasizes the use of AWS native tools like Trusted Advisor and Compute Optimizer for identifying optimization opportunities. The response appears to be cut off but demonstrates a methodical, step-by-step approach to cost reduction strategies.

Perplexity

1641 Characters

BRAND (9)

精选行业Query
AWS
AWS Lambda
Spendflo
Amazon S3
nOps
Cloudkeeper
CAST AI
ProsperOps

SUMMARY

Offers specific, actionable strategies with quantifiable benefits, such as achieving 20% EBS cost reduction through lifecycle policies. Focuses on practical methods like rightsizing, reserved instances, serverless architectures, and spot instances. Provides concrete examples and use cases for each optimization technique with emphasis on measurable cost savings.

Google AIO

409 Characters

BRAND (9)

精选行业Query
AWS
AWS Lambda
Spendflo
Amazon S3
nOps
Cloudkeeper
CAST AI
ProsperOps

SUMMARY

Delivers a concise, categorized overview of AWS cost optimization methods. Organizes strategies into clear sections including compute optimization, storage optimization, monitoring, and architectural improvements. Provides a high-level summary without deep technical details but covers the essential cost reduction areas comprehensively.

Strategic Insights & Recommendations

Dominant Brand

AWS dominates across all platforms as the primary focus, with ChatGPT mentioning AWS services 24 times, while other cost optimization tools receive minimal attention.

Platform Gap

ChatGPT provides the most detailed technical guidance, Perplexity offers quantified benefits and specific percentages, while Google AIO focuses on categorical organization of strategies.

Link Opportunity

All platforms provide substantial link opportunities with ChatGPT offering 7 links, Google AIO providing 9 links, and Perplexity leading with 14 links for further resources.

Key Takeaways for This Prompt

Right-sizing resources and implementing auto-scaling are universally recommended as primary cost optimization strategies across all platforms.

Reserved instances, Savings Plans, and Spot instances are consistently mentioned as effective pricing model optimizations.

Storage lifecycle management and automated policies are highlighted as quick wins for immediate cost reductions.

Serverless architectures and pay-per-use models are emphasized as modern approaches to align costs with actual usage.

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