Nicolas Sitter
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AI Search
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Hotel AI research, newest first
All hotel studies
AI & hotel-tech research
AI Hotel Landscape 2026
The flagship annual report
Anatomy of ChatGPT Hotel Search
How the machine actually works
Live trackers
AI Hotel Landscape (live)
The weekly dashboard behind the report
My AI Visibility
Tracking my own niche, in public
MCP App Tracker
Claude connectors, tracked daily
Methodology
Cross-industry methodology
AI-search infrastructure, not hotel-specific
AI Playground
All experiments
Every cross-industry field test
Tattoo Studios in Berlin
Same city, new vertical — the baseline snaps back
Barbershops in Istanbul
Ask in English and Turkish — get two different cities
Bistros in Paris
The guidebook city where restaurant websites disappear
Saunas in Helsinki
The first city where every AI engine agrees
Sports Data
Cycling
L'Étape du Tour
Ten editions, 2014–2026
Archive
107,795 finishers, 2014–2026, analysed
2026
12,733 finishers · Bourg d'Oisans → Alpe d'Huez
2025
13,649 finishers · Albertville → La Plagne
2024
10,614 finishers · Nice → Col de la Couillole
2023
11,485 finishers · Annemasse → Col de Joux Plane
2022
8,706 finishers · Briançon → L'Alpe d'Huez
2019
10,159 finishers · Albertville → Val Thorens
2017
11,234 finishers · Briançon → Col d'Izoard
2016
10,982 finishers · Megève → Morzine
2015
9,774 finishers · Saint-Jean-de-Maurienne → La Toussuire
2014
8,459 finishers · Pau → Hautacam
L'Étape du Tour Femmes
Two editions · 71% of the field is men
Archive
14,740 finishers across three races
2026
9,696 finishers up the Ventoux
2025 · 117 km
4,267 finishers, Chambéry
2025 · 98 km
777 finishers, every split
La Marmotte
Seven editions, 2020–2026
Archive
25,208 finishes, 2020–2026, analysed
2026
5,005 finishers · 12 timing mats
2025
4,302 finishers
2024
4,585 finishers
2023
3,694 finishers · the Croix de Fer year
2022
3,988 finishers
2021
1,807 finishers · run in September
2020
1,827 finishers · run in September
Triathlon
Alpe d'Huez
Eleven editions, 2015–2026
Archive
31,140 finishes, 2015–2026, analysed
2026
3,861 finishers · 22 timing mats
2025
3,747 finishers
2024
3,469 finishers
2023
3,257 finishers
2022
2,836 finishers
2021
2,731 finishers
2020
COVID HAHAHHA
2019
2,386 finishers
2018
2,305 finishers
2017
2,295 finishers
2016
1,982 finishers
2015
2,271 finishers
Running
Marathon de Paris
12 editions, 2013–2026
Archive
520,581 finishers, analysed
2026
57,516 finishers
2025
54,934 finishers
2024
53,899 finishers
2023
50,778 finishers
2022
33,599 finishers
2021
27,114 finishers
2018
42,377 finishers
2017
41,099 finishers
2016
41,791 finishers
2015
40,262 finishers
2014
38,526 finishers
2013
38,686 finishers
Semi de Paris
11 editions, 2015–2026
Archive
395,723 finishers, analysed
2026
49,281 finishers
2025
47,544 finishers
2024
47,901 finishers
2023
45,400 finishers
2022
40,980 finishers
2021
18,426 finishers
2019
33,764 finishers
2018
36,007 finishers
2017
38,211 finishers
2016
3,304 finishers
2015
34,905 finishers
adidas 10K Paris
7 editions, 2019–2026
Archive
182,508 finishers, analysed
2026
44,244 finishers
2025
34,353 finishers
2024
29,607 finishers
2023
24,634 finishers
2022
18,995 finishers
2021
12,054 finishers
2019
18,621 finishers
Guides
All guides
AI search optimization for hotels
AI Search
AI Search for Hotels
The big picture — 4-step framework
AI Visibility for Hotels
AEO + GEO, 5 pillars, 8-step checklist
ChatGPT Optimization
12 systems, 7 data providers
Google AI Mode
Where hotel clicks go
Do Visibility Scores Matter?
Not a booking — but a leading indicator
Technical
Schema Markup
JSON-LD for hotels
How AI Retrieval Works
The mechanism under GEO
Prompt Tracking
Measure the spread, not the rank
Projects
All projects
Everything, searchable
AI Apps
MCP App Tracker
Claude connectors, tracked daily
AI Search
AI Hotel Landscape
Live weekly hotel AI data
My AI Visibility
Tracking my own niche, in public
Tools
API
About
About me
Background & contact
Consulting
AI search visibility engagements
AGENTIC
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llms.txt
llms-full.txt
posts.json
rss.xml
sitemap.xml
robots.txt
Overview
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Clubs
Clubs
Swiss Triathlon
1 classified of 1 entered in the Triathlon M.
#
Athlete
Time
Gap
Overall
🥇
Manu KUNG
#29 · MS3
1:57:29
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4