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

AI Visibility Report for
airlineSAFsurchargecalculation

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Brand Performance Across AI Platforms
All 5 brands referenced across AI platforms for this prompt
Lufthansa
10
1
Sentiment:
Score:95
Maersk
4
2
Sentiment:
Score:74
KLM
2
3
Sentiment:
Score:71
4SWISS
1
1
Sentiment:
Score:55
5Heathrow
1
1
Sentiment:
Score:55
Referenced Domains Analysis
All 20 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1maersk.com faviconmaersk.com
ChatGPT:
1
Perplexity:
1
Google AIO:
0
2
#2klm.com faviconklm.com
ChatGPT:
0
Perplexity:
0
Google AIO:
1
1
#3rmi.org faviconrmi.org
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4swiss.com faviconswiss.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#5flyusa.com faviconflyusa.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

2616 Characters

BRAND (5)

Maersk
Lufthansa
KLM
SWISS
Heathrow

SUMMARY

ChatGPT provides a structured educational overview of SAF surcharge calculations, focusing on distance and cabin class factors with specific examples from Lufthansa. The response explains how charges range from €1 to €72 based on flight length and aircraft efficiency, while also mentioning regulatory mandates as a driving factor.

Google AIO

1349 Characters

BRAND (5)

Maersk
Lufthansa
KLM
SWISS
Heathrow

SUMMARY

Google AIO offers a comprehensive explanation covering the fundamental cost premium concept, regulatory mandates, and algorithmic approaches. It explains how airlines use the "green premium" between SAF and kerosene as the basis for calculations, incorporating flight specifics like aircraft type, distance, passenger load, and travel class into their algorithms.

Strategic Insights & Recommendations

Dominant Brand

Lufthansa emerges as the most frequently referenced airline across platforms, with detailed examples of their SAF surcharge implementation and calculation methodology.

Platform Gap

ChatGPT focuses on practical examples and ranges, Perplexity emphasizes regulatory compliance and technical details, while Google AIO provides the most comprehensive algorithmic overview.

Link Opportunity

All platforms provide substantial external link opportunities with ChatGPT offering 4 links, Google AIO 8 links, and Perplexity 9 links for further technical and regulatory information.

Key Takeaways for This Prompt

SAF surcharges are primarily driven by the cost premium between sustainable and conventional jet fuel.

EU regulatory mandates like the 2% SAF blend requirement starting in 2025 are major calculation drivers.

Airlines use sophisticated algorithms considering flight distance, aircraft type, passenger class, and CO₂ emissions.

Surcharge amounts vary significantly, with examples ranging from €1 to €72 depending on multiple factors.

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