Claude’s language gap does not close in English
On the Italian pages drawn for this study, the November Index found that Claude named no business in 50.5% of its answers, and on the US pages in 7.8%. To tell the language from the country, we asked 80 pages in five languages again in their own language and in English, and 16 US pages in English, Italian and German: 10,944 questions to ChatGPT, Gemini and Claude.
Published by Guglielmo Paesano, founder of AIGROW · working paper, 9 November 2026
- Asked in the city’s language
- 36.4%
- With the instruction in that language too
- 25.7%
- US cities, asked in Italian
- 14.6%
- US cities, asked in German
- 14.1%
- Answers
- 10,938
Working paper, not peer reviewed
We asked ChatGPT, Gemini and Claude 10,944 times about local businesses on 96 Index pages. Asked in English, Claude named no business in 35.2% of answers on the Italian, German, French, Spanish and Portuguese pages, about as often as in each page’s own language (36.4%), and far more often than on US pages (8.3%).
Findings
Empty means the answer named no business. Asked as the Index asks, Claude left 36.4% of its answers on these pages empty, against 38.5% in the November Index on the same pages, so the study starts where the Index stands. The tables below give every figure with its 95% interval.
Asked in English instead of the city’s language, Claude left 35.2% of its answers on the pages in five languages empty, against 36.4% in the city’s language.
A change of -1.1 points (-6.3 to +3.9): on 21 pages English left more answers empty and on 21 fewer. Language by language the change runs from -6.3 to +1.6 points, and every interval includes no change. ChatGPT moved +1.6 points (-0.4 to +3.6), and Gemini named businesses in every answer, in every arm of the study.
Asked the same way in English, Claude left 8.3% of its answers on US cities empty, against 35.2% on the cities in five languages.
In English, Claude’s empty answers were 51.0% on the Italian pages, 36.5% on the Portuguese, 32.8% on the French, 30.7% on the German and 25.0% on the Spanish. ChatGPT left 7.2% of its English answers on those pages empty and none on the US pages. Where the city is moved the answers more than the language of the question, though the US cities in the study are also large and well known.
Asking about the same US cities in German or Italian raised Claude’s empty answers from 8.3% to 14.1% and 14.6%.
German added +5.7 points (+0.5 to +11.5); Italian added +6.3 points (-2.1 to +15.1), an interval that includes no change. Either way the language of the question counts for less than the 26.9 points between US cities and the cities in five languages, both asked in English. ChatGPT and Gemini named businesses in every answer on the US pages, in every language.
The language of the instruction moved Claude more than the language of the question: with the instruction in the city’s language too, its empty answers fell from 36.4% to 25.7%.
A change of -10.6 points (-16.5 to -4.7), but not the same way everywhere: German went from 29.2% to 6.8%, French from 33.3% to 3.6%, Portuguese from 42.7% to 31.8% and Spanish from 23.4% to 20.8%, while Italian rose from 53.1% to 65.6%, and US pages asked in Italian from 14.6% to 33.3%. ChatGPT went the other way, from 5.6% to 9.2% (+3.5 points (+1.4 to +6.0)). Each translation words the instruction a little differently, so this may be the wording as much as the language.
The language changes which businesses are named: on the same page, Claude’s answers in English and in the city’s language shared 23.8% of the businesses either named.
ChatGPT’s shared 47.0% and Gemini’s 43.6%. Two askings in the same language also differ, and the study did not measure by how much, so not all of the difference is the language. The November ranking comes from questions in the city’s language; of the businesses Gemini named, 54.9% were in it when asked that way and 47.4% when asked in English, against 33.7% and 32.0% for Claude and 54.0% and 54.3% for ChatGPT.
Claude’s empty answers, by page and by language
The charts show Claude, the assistant with the most empty answers in every arm; the tables below give all three. The first chart sets each language’s pages asked in English against the same pages asked in their own language, with the US pages in English. The second gives the US pages in each way they were asked. Bars in one chart share a scale.
- Asked in English
- Asked in the city’s language
Empty answers on the pages in five languages
The share of answers that named no business, on the 80 pages in Italian, German, French, Spanish and Portuguese, with its 95% interval. The last row is what the November Index found on the same pages.
| Question in | Instruction in | ChatGPT | Gemini | Claude |
|---|---|---|---|---|
| The city’s language | English | 5.6% (4.3% to 7.3%) | 0.0% (0.0% to 0.4%) | 36.4% (33.4% to 39.5%) |
| The city’s language | The city’s language | 9.2% (7.5% to 11.2%) | 0.0% (0.0% to 0.4%) | 25.7% (23.1% to 28.6%) |
| English | English | 7.2% (5.7% to 9.0%) | 0.0% (0.0% to 0.4%) | 35.2% (32.3% to 38.3%) |
| November Index, same pages | 5.2% (4.0% to 6.8%) | 0.0% (0.0% to 0.4%) | 38.5% (35.5% to 41.7%) | |
Empty answers on the US pages
The same measure on the 16 US pages, asked in English, Italian and German. The city names read the same in all three.
| Question in | Instruction in | ChatGPT | Gemini | Claude |
|---|---|---|---|---|
| English | English | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 8.3% (5.2% to 13.1%) |
| Italian | English | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 14.6% (10.3% to 20.3%) |
| Italian | Italian | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 33.3% (27.1% to 40.3%) |
| German | English | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 14.1% (9.8% to 19.7%) |
| November Index, same pages | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 7.8% (4.8% to 12.5%) | |
By language
16 pages in each language, so read a single figure with its interval.
| Assistant | November Index | In the city’s language | In the city’s language, instruction too | In English |
|---|---|---|---|---|
| Italian | ||||
| ChatGPT | 8.8% (5.6% to 13.7%) | 7.3% (4.4% to 11.9%) | 14.1% (9.8% to 19.7%) | 8.3% (5.2% to 13.1%) |
| Gemini | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) |
| Claude | 50.5% (43.5% to 57.5%) | 53.1% (46.1% to 60.1%) | 65.6% (58.7% to 72.0%) | 51.0% (44.0% to 58.0%) |
| German | ||||
| ChatGPT | 2.1% (0.8% to 5.2%) | 3.1% (1.4% to 6.7%) | 6.8% (4.0% to 11.2%) | 4.2% (2.1% to 8.0%) |
| Gemini | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) |
| Claude | 33.9% (27.5% to 40.8%) | 29.2% (23.2% to 35.9%) | 6.8% (4.0% to 11.2%) | 30.7% (24.6% to 37.6%) |
| French | ||||
| ChatGPT | 3.6% (1.8% to 7.3%) | 4.7% (2.5% to 8.7%) | 5.7% (3.2% to 10.0%) | 5.7% (3.2% to 10.0%) |
| Gemini | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) |
| Claude | 37.5% (31.0% to 44.5%) | 33.3% (27.1% to 40.3%) | 3.6% (1.8% to 7.3%) | 32.8% (26.6% to 39.7%) |
| Spanish | ||||
| ChatGPT | 1.6% (0.5% to 4.5%) | 2.1% (0.8% to 5.2%) | 5.2% (2.9% to 9.3%) | 5.2% (2.9% to 9.3%) |
| Gemini | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) |
| Claude | 27.1% (21.3% to 33.8%) | 23.4% (18.0% to 29.9%) | 20.8% (15.7% to 27.1%) | 25.0% (19.4% to 31.6%) |
| Portuguese | ||||
| ChatGPT | 9.9% (6.4% to 14.9%) | 10.9% (7.3% to 16.1%) | 14.1% (9.8% to 19.7%) | 12.5% (8.6% to 17.9%) |
| Gemini | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) | 0.0% (0.0% to 2.0%) |
| Claude | 43.8% (36.9% to 50.8%) | 42.7% (35.9% to 49.8%) | 31.8% (25.6% to 38.7%) | 36.5% (30.0% to 43.5%) |
What changes when one thing changes
Each row changes one thing on the same pages and gives the change in empty answers in percentage points, with its 95% interval, how many pages went each way, and how much the businesses named in the two arms overlap.
| Assistant | Before | After | Change in points | Pages with more empty answers | Pages with fewer | Name overlap |
|---|---|---|---|---|---|---|
| Five languages: the question in English instead of the city’s language | ||||||
| ChatGPT | 5.6% | 7.2% | +1.6 (-0.4 to +3.6) | 10 | 6 | 47.0% |
| Gemini | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 43.6% |
| Claude | 36.4% | 35.2% | -1.1 (-6.3 to +3.9) | 21 | 21 | 23.8% |
| Five languages: the instruction in the city’s language instead of English | ||||||
| ChatGPT | 5.6% | 9.2% | +3.5 (+1.4 to +6.0) | 17 | 6 | 50.6% |
| Gemini | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 51.5% |
| Claude | 36.4% | 25.7% | -10.6 (-16.5 to -4.7) | 14 | 34 | 25.9% |
| US pages: the question in Italian instead of English | ||||||
| ChatGPT | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 52.6% |
| Gemini | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 54.3% |
| Claude | 8.3% | 14.6% | +6.3 (-2.1 to +15.1) | 4 | 1 | 33.9% |
| US pages: the question in German instead of English | ||||||
| ChatGPT | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 56.7% |
| Gemini | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 59.5% |
| Claude | 8.3% | 14.1% | +5.7 (+0.5 to +11.5) | 5 | 1 | 36.3% |
| US pages in Italian: the instruction in Italian instead of English | ||||||
| ChatGPT | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 52.8% |
| Gemini | 0.0% | 0.0% | 0.0 (0.0 to 0.0) | 0 | 0 | 63.6% |
| Claude | 14.6% | 33.3% | +18.8 (+8.3 to +31.8) | 10 | 0 | 33.9% |
The best, or a concrete need
Empty answers to the question for the best of the trade in the city, against the three questions about a concrete need. Asked as the Index asks, Claude left 40.8% (34.8% to 47.1%) of its answers to the first empty and 34.9% (31.5% to 38.4%) of those to the others. The intervals overlap, so the kind of question does not change the picture.
| Pages | Question in | Instruction in | The best | A need |
|---|---|---|---|---|
| ChatGPT | ||||
| Five languages | The city’s language | English | 5.8% | 5.6% |
| Five languages | The city’s language | The city’s language | 11.3% | 8.5% |
| Five languages | English | English | 5.8% | 7.6% |
| US cities | English | English | 0.0% | 0.0% |
| US cities | Italian | English | 0.0% | 0.0% |
| US cities | Italian | Italian | 0.0% | 0.0% |
| US cities | German | English | 0.0% | 0.0% |
| Gemini | ||||
| Five languages | The city’s language | English | 0.0% | 0.0% |
| Five languages | The city’s language | The city’s language | 0.0% | 0.0% |
| Five languages | English | English | 0.0% | 0.0% |
| US cities | English | English | 0.0% | 0.0% |
| US cities | Italian | English | 0.0% | 0.0% |
| US cities | Italian | Italian | 0.0% | 0.0% |
| US cities | German | English | 0.0% | 0.0% |
| Claude | ||||
| Five languages | The city’s language | English | 40.8% | 34.9% |
| Five languages | The city’s language | The city’s language | 26.7% | 25.4% |
| Five languages | English | English | 34.6% | 35.4% |
| US cities | English | English | 12.5% | 6.9% |
| US cities | Italian | English | 16.7% | 13.9% |
| US cities | Italian | Italian | 33.3% | 33.3% |
| US cities | German | English | 25.0% | 10.4% |
The businesses named
Names per answer counts every name, empty answers included. Distinct businesses are counted once per page after grouping spellings, and the last figure is the share of them that the page’s November ranking lists. Asked in English, Claude named 4.81 businesses per answer on the US pages and 3.09 on the pages in five languages.
| Pages | Question in | Instruction in | Assistant | Names per answer | Distinct businesses | In the November ranking |
|---|---|---|---|---|---|---|
| Five languages | The city’s language | English | ChatGPT | 2.61 | 855 | 54.0% |
| Five languages | The city’s language | English | Gemini | 3.16 | 986 | 54.9% |
| Five languages | The city’s language | English | Claude | 3.16 | 1,474 | 33.7% |
| Five languages | The city’s language | The city’s language | ChatGPT | 2.45 | 800 | 56.3% |
| Five languages | The city’s language | The city’s language | Gemini | 3.34 | 1,058 | 51.5% |
| Five languages | The city’s language | The city’s language | Claude | 3.65 | 1,632 | 30.9% |
| Five languages | English | English | ChatGPT | 2.57 | 798 | 54.3% |
| Five languages | English | English | Gemini | 3.13 | 984 | 47.4% |
| Five languages | English | English | Claude | 3.09 | 1,387 | 32.0% |
| US cities | English | English | ChatGPT | 3.38 | 233 | 60.9% |
| US cities | English | English | Gemini | 3.24 | 191 | 67.5% |
| US cities | English | English | Claude | 4.81 | 429 | 37.5% |
| US cities | Italian | English | ChatGPT | 3.29 | 234 | 60.7% |
| US cities | Italian | English | Gemini | 3.14 | 183 | 63.4% |
| US cities | Italian | English | Claude | 4.47 | 369 | 38.5% |
| US cities | Italian | Italian | ChatGPT | 3.24 | 228 | 56.1% |
| US cities | Italian | Italian | Gemini | 3.22 | 181 | 63.0% |
| US cities | Italian | Italian | Claude | 3.39 | 311 | 41.8% |
| US cities | German | English | ChatGPT | 3.21 | 226 | 59.7% |
| US cities | German | English | Gemini | 3.14 | 182 | 63.7% |
| US cities | German | English | Claude | 4.45 | 389 | 39.1% |
How the study was made
- The pages
- 96 local pages of the November 2026 AIGROW Index, drawn at random with a fixed seed: 16 in each of Italian, German, French, Spanish and Portuguese, and 16 in 15 US cities whose names are written the same in Italian and German. Every group has the same 16 kinds of business, one page each.
- The questions
- Each page asks the four questions of its November page: one for the best of the trade in the city, and three for a concrete need. The questions in English name each city by its English name. Each assistant was asked each question 3 times in every arm, 10,944 answers in all.
- The arms
- On the 80 pages in the five languages, each question was asked three ways: in the city’s language with the instruction in English, as the Index asks it; in the city’s language with the instruction in that language too; and in English. On the 16 US pages it was asked in English, in Italian with the instruction in English, in Italian with the instruction in Italian, and in German with the instruction in English.
- The instruction
- Every question goes with the four sentences the AIGROW scan and the Index send as the system instruction: “You are answering an ordinary consumer who is choosing a supplier. Name the specific businesses you would actually recommend, in order. Use real business names only. If you do not know any for this question, return an empty list. Do not hedge, do not explain your limitations, do not suggest how to search.” The same four sentences in each of the five languages are listed below.
- The models
- gpt-6-sol, gemini-3.1-flash and claude-sonnet-5, asked through their APIs between 14:58 and 15:21 UTC on 9 November 2026, exactly as the November Index asked them: ChatGPT and Gemini at temperature 0.3 with low reasoning effort, Claude at its default temperature without extended thinking, each answering with a list of up to eight businesses.
- From memory
- No answer used web search, and no assistant was told where the person asking was. Every answer was a new conversation.
- An empty answer
- An answer is empty when its list names no business. Names were grouped by business with the method the Index uses, so two spellings of one business count once, and each group was looked up in the page’s November ranking.
- Statistics
- Every empty-answer rate carries a 95% Wilson interval. A change between two arms is pooled over the same pages, and its 95% interval comes from 2,000 resamples of whole pages. Name overlap is the share of businesses two arms both named on a page, averaged over the pages where either arm named someone.
- The instruction in Italian
- Stai rispondendo a un normale consumatore che deve scegliere a chi rivolgersi. Indica in ordine le attività precise che consiglieresti davvero. Usa solo nomi di attività reali. Se per questa domanda non ne conosci nessuna, restituisci un elenco vuoto. Non metterti al riparo con cautele, non spiegare i tuoi limiti e non suggerire come cercare.
- The instruction in German
- Du beantwortest die Frage eines ganz normalen Verbrauchers, der einen Anbieter auswählt. Nenne der Reihe nach die konkreten Unternehmen, die du wirklich empfehlen würdest. Verwende nur echte Firmennamen. Wenn du für diese Frage keine kennst, gib eine leere Liste zurück. Antworte ohne Vorbehalte, erkläre nicht deine Grenzen und schlage nicht vor, wie man suchen kann.
- The instruction in French
- Tu réponds à un consommateur ordinaire qui choisit un prestataire. Cite dans l’ordre les entreprises précises que tu recommanderais vraiment. N’utilise que des noms d’entreprises réels. Si tu n’en connais aucune pour cette question, renvoie une liste vide. Ne prends pas de précautions oratoires, n’explique pas tes limites et ne suggère pas comment chercher.
- The instruction in Spanish
- Estás respondiendo a un consumidor corriente que está eligiendo un proveedor. Nombra por orden los negocios concretos que recomendarías de verdad. Usa solo nombres de negocios reales. Si no conoces ninguno para esta pregunta, devuelve una lista vacía. No pongas reservas, no expliques tus limitaciones y no sugieras cómo buscar.
- The instruction in Portuguese
- Vai responder a um consumidor comum que precisa de escolher um fornecedor. Indique por ordem as empresas concretas que realmente recomendaria. Use apenas nomes reais de empresas. Se não conhecer nenhuma para esta pergunta, devolva uma lista vazia. Não faça ressalvas, não explique as suas limitações e não sugira como pesquisar.
Limits
- One day
- All answers were collected on 9 November 2026. The models change, and the same questions asked another week may come out differently.
- Answers from memory
- The assistants had no web search and no location. An assistant that searches the web, as the consumer apps often do, may name businesses it would not name from memory.
- The answer form stays English
- The description of the list the assistants fill in is in English in every arm, so an arm with the instruction in another language is not wholly in that language.
- Sixteen pages a language
- 16 pages per language and per group, so the figures for one language carry wide intervals. The tables print each with its interval.
- Translated wording
- The five translations of the instruction say the same thing in different words, so a change with the instruction is a change of wording as well as of language. Claude moved one way in Italian and the other way in German and French, which suggests the wording counts.
- Two askings differ
- The same question asked twice in the same language also names different businesses, and the study did not measure that baseline, so a name overlap below 100% is not all due to the language.
- Missing answers
- 6 of the 10,944 questions got no list from Gemini even after two retries, and they are left out of every rate.
- Different cities
- The pages in each language are in that language’s cities, and the US pages are in large US cities. A gap between countries can come from the size or the fame of the cities as much as from the country.
- Empty is not wrong
- An empty answer can be the honest one, and a list can name businesses that do not exist or have closed. The study does not check the names; the share found in the November ranking is a partial check only.
- Competing interests
- The author founded AIGROW, which publishes the Index and sells services that aim to improve how businesses appear in AI answers. The study had no external funding.
Rankings from the AI Visibility Index
See which businesses and products ChatGPT, Claude, Gemini and Grok named for the categories and places below.
Data and citation
Guglielmo Paesano, The language gap in AI answers, AIGROW Labs, 9 November 2026, aigrow.gg/research/ai-language-gap-2026. The figures and the data are published under CC BY 4.0: reuse them with a link to this page.
The CSV holds the counts and rates behind every table, by language, arm, assistant and question. The answers themselves stay with AIGROW Labs.
Which business does AI name in your city, in your language?
The free scan asks ChatGPT, Claude, Gemini and Grok your own customers' questions and shows who they name instead of you.
AIGROW Labs · 9 November 2026 · data under CC BY 4.0