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AI Travel Ranking 2026 – full results

Five AI models scored the 100 most-visited German cities, the 100 most-visited European regions and the key annual event in each, on a scale from 0 to 100. Every result is below, including each model’s individual score.

  • 400 rows
  • 5 AI models
  • Scale 0–100
  • Source: Regionalstatistik, Eurostat 2024

The German cities AI would most like to travel to

The 100 most-visited German cities, scored by five AI models. Rank 1 is the highest average.

100 / 100 rows shown
The German cities AI would most like to travel to — AI score 0–100
RankCityFederal stateAI scoreGeminiChatGPTClaude AICopilotPerplexity
1HeidelbergBaden-Württemberg94.49197939596
2DresdenSachsen92.69396919093
2Freiburg im BreisgauBaden-Württemberg92.68993899795
4MunichBayern91.89694908891
5BambergBayern91.28892909492
6LübeckSchleswig-Holstein90.88795859394
7BerlinBerlin89.49491888985
8RegensburgBayern88.48490869290
9HamburgHamburg88.09789828884
10PotsdamBrandenburg87.48688878789
11WeimarThüringen86.08285859187
12TrierRheinland-Pfalz83.68187808288
13WürzburgBayern82.67486848386
14Baden-BadenBaden-Württemberg81.67683888180
15PassauBayern80.47979839170
16LeipzigSachsen78.88368767988
17NurembergBayern77.67784796682
17ErfurtThüringen77.67378787683
19KoblenzRheinland-Pfalz76.07281707681
20CologneNordrhein-Westfalen75.87880746978
21RostockMecklenburg-Vorpommern75.67175639277
22MünsterNordrhein-Westfalen74.26977737874
23AachenNordrhein-Westfalen72.25776728472
24MainzRheinland-Pfalz70.26382646379
25BonnNordrhein-Westfalen69.86267658273
26BremenBremen69.25174687776
27SpeyerRheinland-Pfalz67.25962747269
28Kempten (Allgäu)Bayern67.06646677284
29FlensburgSchleswig-Holstein66.86758618365
29DüsseldorfNordrhein-Westfalen66.86164626879
31SchwerinMecklenburg-Vorpommern66.26860777551
31AugsburgBayern66.25670716470
33UlmBaden-Württemberg64.86453697167
34KielSchleswig-Holstein64.43869548675
35StuttgartBaden-Württemberg64.05266606775
36BayreuthBayern63.84956757366
37JenaThüringen62.84161628466
38Neustadt an der WeinstraßeRheinland-Pfalz62.45442637182
39LandshutBayern62.24763686271
40RosenheimBayern60.84847608168
41WiesbadenHessen60.62273666577
42CoburgBayern60.25851666165
43OldenburgNiedersachsen59.83659558564
44Frankfurt am MainHessen57.83165586768
45OsnabrückNiedersachsen56.83755587361
46KarlsruheBaden-Württemberg55.61771576469
47WormsRheinland-Pfalz55.24335686070
48Landau in der PfalzRheinland-Pfalz55.02841618164
49AschaffenburgBayern54.65343546063
50AmbergBayern53.28338624043
51ErlangenBayern53.02657517061
52AnsbachBayern52.02445587063
53HanoverNiedersachsen50.83228557762
54EssenNordrhein-Westfalen50.4972485964
55StraubingBayern48.24436576143
56MannheimBaden-Württemberg48.0361506561
57BrunswickNiedersachsen46.61650564962
58DarmstadtHessen46.21454534862
59KasselHessen46.04230523967
60IngolstadtBayern45.62348494761
60MagdeburgSachsen-Anhalt45.61333477461
62WuppertalNordrhein-Westfalen44.63417555760
63SaarbrückenSaarland44.41949454861
64BremerhavenBremen44.23923467538
65Halle (Saale)Sachsen-Anhalt43.83332595639
66CottbusBrandenburg42.81152435256
67MemmingenBayern42.02739653742
68HeilbronnBaden-Württemberg41.0240447445
69Brandenburg an der HavelBrandenburg40.84626453552
70ChemnitzSachsen37.01831415540
71DortmundNordrhein-Westfalen36.0114465861
72BochumNordrhein-Westfalen35.4215425761
73SchwabachBayern35.2444414344
73HofBayern35.2633384257
75EmdenNiedersachsen35.02924423644
76SchweinfurtBayern34.6637373459
77Dessau-RoßlauSachsen-Anhalt34.4211504456
77Mülheim an der RuhrNordrhein-Westfalen34.4324345457
77KaiserslauternRheinland-Pfalz34.483406358
80OberhausenNordrhein-Westfalen33.0121375353
81FürthBayern32.844486246
82WolfsburgNiedersachsen32.2229384646
82SuhlThüringen32.2734353847
82WilhelmshavenNiedersachsen32.2422335052
85KrefeldNordrhein-Westfalen32.0118385449
86MönchengladbachNordrhein-Westfalen31.8220365150
87HammNordrhein-Westfalen31.2212325258
87GelsenkirchenNordrhein-Westfalen31.218325560
89BielefeldNordrhein-Westfalen31.0216405641
90PforzheimBaden-Württemberg30.4310394555
91HagenNordrhein-Westfalen30.2213345250
91Offenbach am MainHessen30.2125354554
93Frankfurt (Oder)Brandenburg29.8125354147
94DuisburgNordrhein-Westfalen29.617395348
94SalzgitterNiedersachsen29.619285159
96LeverkusenNordrhein-Westfalen29.4111335151
97SolingenNordrhein-Westfalen29.0319404340
98GeraThüringen28.260394155
99Ludwigshafen am RheinRheinland-Pfalz28.016305053
100NeumünsterSchleswig-Holstein27.832364454
No matches.

Equal averages share a rank; numbering resumes accordingly after a tie.

Methodology

To find out where artificial intelligence would go on holiday, MEININGER Hotels put the question to five AI systems: ChatGPT, Claude AI, Gemini, Microsoft Copilot and Perplexity AI. The basis for the analysis was the 100 German cities and the 100 European regions with the highest number of annual overnight stays (source: Regionalstatistik, Eurostat, 2024). The models scored these destinations on a scale from 0 to 100, and an average was then calculated per destination. The AI systems also nominated the events most worth seeing, which were scored on the same scale from 0 to 100.

Source: MEININGER Hotels

Models in column order: Gemini, ChatGPT, Claude AI, Copilot, Perplexity

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