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airline SAF surcharge calculation

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 10/16/2025

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Brand Performance Across AI Platforms
All 3 brands referenced across AI platforms for this prompt
KLM
3
0
Sentiment:
Score:95
Lufthansa Group
3
0
Sentiment:
Score:78
Maersk
1
0
Sentiment:
Score:55
Referenced Domains Analysis
All 23 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1swiss.com faviconswiss.com
ChatGPT:
0
Perplexity:
2
Google AIO:
2
4
#2maersk.com faviconmaersk.com
ChatGPT:
1
Perplexity:
1
Google AIO:
1
3
#3klm.com faviconklm.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#4iata.org faviconiata.org
ChatGPT:
0
Perplexity:
2
Google AIO:
0
2
#5reuters.com faviconreuters.com
ChatGPT:
2
Perplexity:
0
Google AIO:
0
2

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3721 Characters

BRAND (4)

Maersk
Lufthansa Group
KLM
SWISS

SUMMARY

Provides an educational overview of SAF surcharges, explaining that airlines incorporate these fees to offset higher sustainable fuel costs. Focuses specifically on Lufthansa Group's approach, detailing their Environmental Cost Surcharge implementation starting January 2025 for EU departures, including the 2% SAF blending quota requirement and regulatory compliance factors.

Perplexity

2941 Characters

BRAND (4)

Maersk
Lufthansa Group
KLM
SWISS

SUMMARY

Delivers an analytical breakdown of SAF surcharge calculations, emphasizing the price premium methodology based on CO2 emissions per passenger, booking class, and aircraft type. Provides detailed technical information about Lufthansa's algorithmic approach and explains how market procurement costs factor into the final surcharge determination.

Strategic Insights & Recommendations

Dominant Brand

Lufthansa Group dominates across all platforms as the primary example for SAF surcharge implementation, with KLM also mentioned consistently as a reference point.

Platform Gap

ChatGPT focuses on regulatory compliance aspects, Perplexity emphasizes technical calculation methods, while Google AIO provides broader implementation options including voluntary passenger contributions.

Link Opportunity

Perplexity provides the most extensive sourcing with 16 links, suggesting stronger opportunities for detailed technical documentation and industry reports.

Key Takeaways for This Prompt

All platforms agree that SAF surcharges are calculated based on the cost premium between sustainable and conventional jet fuel.

Lufthansa Group serves as the industry standard example across all platforms for SAF surcharge implementation.

Calculation factors consistently include flight distance, aircraft type, passenger class, and current market prices for SAF.

Regulatory requirements, particularly EU mandates, are driving the adoption and standardization of SAF surcharge methodologies.

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