{"@context":"https://schema.org","@type":"BlogPosting","headline":"AI Search for Tango Schools in Buenos Aires (2026): The Canon Is Bilingual","description":"The series' first South American city, and its first classes-and-lessons vertical since the Paris and Berlin yoga studies: 24 prompt templates × EN/ES × US/AR proxies × 5 engines (ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode), 392 of 480 captures landed, captured 2026-09-02 (ChatGPT, Gemini, Copilot, AI Mode 96/96 each; Perplexity 8/96 — both batches returned error items, one targeted refire recovered 3, the 88 missing disclosed, not imputed, and no Perplexity percentage published anywhere). The headline breaks the series' tourist-city pattern: EN and ES control answers share 3 of 7 distinct top-5 venues — 43% overlap where Istanbul barbers and CDMX tacos both measured 0% — and the best-milongas prompt returns the identical five venues in both languages (La Viruta, La Catedral, El Beso, Club Gricel, Parakultural), with the language→TLD coupling at a mild 1.33× (ES prompts 24.8% .ar, EN 18.6%). La Viruta Tango Club is named in 240 of 392 answers (61.2%, all five engines, cite score just 40), while citation counting crowns Escuela Mundial de Tango Gabriela Elías (score 131, 63 domain citations) — the mentions/citations split again, as in Seoul and Mexico City, with the raw cite board's Instagram-only artifact ('Pa' Bailar', score 177) caught by the identity guard. ChatGPT cites venue-owned websites 25.3% (93 of 368), the fifth city measured on the density curve and the point that fills its empty middle (CDMX 12.5% density → 0% share, Seoul 13% → 2.3%, Istanbul 22.1% → 21.3%, BA 37.7% → 25.3%, Helsinki 78.4% → 45.5%), cites the Buenos Aires city government (94) more than all venue sites combined (93) — turismo.buenosaires.gob.ar is the study's most-cited non-Google domain at 85 — and cites Reddit zero times (7 study-wide). New engine personality: Gemini routes 24.2% of its 579 citations to dinner-show ticketing and tango tour agencies (showdetango.com 81, its #1 domain). AI Mode's citation column reads 100% google.com — the September searchviewer/svid instrument change, not behavior. ChatGPT's map carousel returned: 95 of 96 captures vs 1 of 96 in Helsinki seven days earlier. 2,025 citations, 1,369 map entities, 2,281 extracted mentions (83.8% resolved after Spanish-diacritic folding and a hand-checked alias table) against a 441-row registry, 257 real venues. NER by a Claude extractor (Gemini key unreachable from the sandbox), same rules, all names mechanically verified against source answers.","datePublished":"2026-09-07","dateModified":"2026-09-07","url":"https://nicolassitter.com/research/tango-schools-buenos-aires-ai-search-2026","category":"research","keywords":["AI search tango schools","ChatGPT tango Buenos Aires","best tango schools Buenos Aires AI","La Viruta AI recommendations","milongas Buenos Aires AI","Escuela Mundial de Tango","Google AI Mode Argentina","Spanish AI search","AI citation sources","GEO local business"],"articleSection":"Research","wordCount":3100,"readTime":"12 min","articleBody":"|\n\n|\n\nSeptember 2026AI Search Studies\n\n# AI Search for Tango Schools in Buenos Aires (2026):the canon is bilingual\n\n**TL;DR:** Five AI engines, 24 tango questions, English and Spanish, US and Argentine proxies — 392 of 480 captures landed. The last two tourist-heavy cities in this series (Istanbul, Mexico City) each answered its two languages with two disjoint lists; Buenos Aires answers them with largely **the same one**: 43% top-5 overlap on the control prompt, and ask for the best milongas and both languages return the identical five venues. La Viruta is named in **240 of 392 answers**, ChatGPT’s own-website share lands at 25.3% — the fifth city measured on the density curve, and the one that fills its empty middle — and its onetime 17–20% Reddit habit is now 0 citations out of 368.\n\nPublished September 7, 2026 · data captured September 2, 2026\n\n43%\n\nEN vs ES top-5 overlap — the last two cities measured 0%\n\n240/392\n\nanswers naming La Viruta, across all five engines\n\n24.2%\n\nof Gemini’s citations go to dinner-show ticket sellers\n\n[Read the Report](#executive-summary)\n\n[Summary](#executive-summary)[1\\. The Bilingual Canon](#bilingual-canon)[2\\. The Density Law](#density-law)[3\\. La Viruta](#leaderboard)[4\\. Two #1s](#two-number-one)[5\\. Source Mix](#source-mix)[6\\. The City Hall Layer](#gov-layer)[7\\. Top Sources](#top-sources)[8\\. Geography](#geography)[9\\. Instrument Notes](#instrument-notes)[For Schools](#takeaways)[Conclusion](#conclusion)[Methodology](#methodology)[FAQ](#faq)\n\n## Executive Summary\n\nA pattern had started to look like a law: in cities where tourists and locals search in different languages, the engines serve each group its own city. Then we pointed the methodology at the most tourist-saturated vertical we could think of, and the pattern didn’t show up.\n\nThis is the series’ first South American city, and its first classes-and-lessons vertical since the Paris and Berlin yoga studies back in May — you leave with an ocho, not an espresso. Tango school prompts in English and Spanish share 43% of their top-5 ( [Istanbul barbers](/research/barbershops-istanbul-ai-search-2026) and [Mexico City tacos](/research/tacos-mexico-city-ai-search-2026) both measured 0%), the milonga prompt returns the identical five venues in both languages, and the language→TLD coupling is a mild 1.33× — Spanish prompts put 24.8% of citations on .ar domains, English prompts 18.6%. The venues that carry the agreement are exactly the ones with global names: La Viruta, La Catedral, El Beso, Club Gricel.\n\nThe series’ central law also picked up its missing middle point. The registry’s own-domain density is 37.7% — between Istanbul’s 22.1% and Helsinki’s 78.4% — and ChatGPT’s own-website citation share came in at **25.3%** (93 of 368), between their 21.3% and 45.5%. Five cities measured, five in rank order. And a new engine personality surfaced: 24.2% of Gemini’s citations go to dinner-show ticketing and tango tour agencies — ask it where to learn, it answers partly with where to buy a ticket.\n\nBy the numbers: 392 of 480 captures landed, carrying 2,025 cited URLs and 2,281 extracted venue mentions, 83.8% of them resolved against a 441-row registry. Perplexity is the disclosure this time: 8 captures of 96 landed after both of its batches returned error items and one targeted refire — every Perplexity number on this page is a raw count rather than a percentage, and the 88 missing captures stay missing instead of being filled in.\n\nTerminology, as on every page in this series: _citations_ are the URLs an engine attaches under its answer, _mentions_ are the venue names inside the answer text. Source analysis uses the former, the leaderboard the latter.\n\nSection 1\n\n## Two languages, one milonga list\n\nMexico City’s taco answers and Istanbul’s barber answers described two different cities depending on the prompt language. Buenos Aires was supposed to be the extreme case of that split — no vertical is more tourist-facing than tango. Instead the split half-closed.\n\nen-vs-local-control-overlap-series-buenos-aires\n\nEN vs ES top-5 overlap by prompt (ChatGPT × AR proxy, map-widget top-5) — all 24 comparable templates\n\nPrompt template\n\nEN vs ES top-5 overlap\n\nbest milongas (bleed control)\n\n100% (5/5)\n\ndistrict: Palermo\n\n100% (5/5)\n\ndistrict: downtown/centro\n\n67% (4/6)\n\ndistrict: San Telmo\n\n67% (4/6)\n\ntourist persona\n\n67% (4/6)\n\ncontrol (best tango schools)\n\n43% (3/7)\n\ntango shows (bleed control)\n\n43% (3/7)\n\nmilongas with a beginner class\n\n43% (3/7)\n\noldest academies\n\n43% (3/7)\n\ndistrict: Almagro\n\n40% (2/5)\n\ngroup classes\n\n25% (2/8)\n\nmost famous schools\n\n25% (2/8)\n\nclasses taught in English\n\n25% (2/8)\n\none-week intensive\n\n25% (2/8)\n\nsalon-style tango\n\n25% (2/8)\n\nprácticas\n\n11% (1/9)\n\ncomplete beginners\n\n11% (1/9)\n\nwhere porteños learn\n\n11% (1/9)\n\ngoing alone, no partner\n\n11% (1/9)\n\nmilonguero style\n\n11% (1/9)\n\ntango nuevo\n\n11% (1/9)\n\nprivate lessons\n\n0% (0/10)\n\nadvanced dancers\n\n0% (0/10)\n\ncheap or free classes\n\n0% (0/10)\n\nOverlap = shared venues ÷ distinct venues across both top-5 lists (Jaccard). Top-5 read from ChatGPT’s map carousel, the series’ original instrument — present again in 95 of 96 captures this run after vanishing in Helsinki (section 9).\n\nRead the table top to bottom and the mechanism is plain. Prompts anchored to world-famous venues or walkable places agree: the milonga list is identical in both languages (La Viruta, La Catedral, El Beso, Club Gricel, Parakultural — all five shared), Palermo is at 100%, San Telmo and the tourist persona at 67%. The control prompt shares three of seven distinct venues: Escuela Mundial de Tango, La Viruta, and a San Telmo studio Google lists as “Clases de Tango”.\n\nDivergence lives where the canon runs out. Private lessons, advanced training and cheap-or-free classes overlap at exactly zero — the English answers go to tourist-bookable teachers, the Spanish ones to neighborhood programs and city cultural centers. “Where do porteños actually learn” overlaps 11%, which is arguably the honest answer to the question.\n\n**Why tango breaks the tourist-city pattern**In Istanbul and CDMX the tourist layer and the local layer wrote about different venues, so the engines learned two cities. Tango’s famous venues are famous in every language — the corpus disagreement that produced 0% overlap twice simply doesn’t exist for La Viruta. Global fame, machine-readable in both languages, is what synchronizes the engines.\n\nSection 2\n\n## The density law gets its middle point\n\nSince [Seoul](/research/specialty-coffee-seoul-ai-search-2026), this series has tracked a single predictor for ChatGPT’s own-website citations: how much of the vertical owns a domain at all. Four measured cities sat at the extremes. Buenos Aires finally sits in the middle.\n\ndensity-law-five-cities-buenos-aires\n\nOf the 257 real schools, milongas and instructors in the registry, 162 (63%) list some web presence and 97 (37.7%) an own-domain site — the rest live on Instagram, Facebook, WhatsApp links, or a page inside the city government’s portal. That mid-range supply produced a mid-range share: ChatGPT put 25.3% of its 368 citations on venue-owned domains, 93 citations in all.\n\nFive cities have now been measured directly, and the two columns rank identically in every one. Nothing else the series tracks — vertical type, language, continent, tourist volume — predicts the own-website share this well.\n\n**The five-city curve**CDMX 12.5% density → 0% share. Seoul 13% → 2.3%. Istanbul 22.1% → 21.3%. Buenos Aires 37.7% → 25.3%. Helsinki 78.4% → 45.5%. If tango schools want ChatGPT to cite them directly, the lever is boring and structural: register a domain. The engines cannot cite a WhatsApp number.\n\nSection 3\n\n## Every engine dances at La Viruta\n\nThe basement of the Armenian Cultural Association in Palermo — part school, part milonga, open till dawn — is named in 240 of 392 answers (61.2%), by all five engines, in both languages, from both proxies.\n\ntango-leaderboard-answer-mentions\n\n### Who recommends whom — the per-engine matrix\n\nShare of each engine’s captures whose answer names the venue. The engines agree on the podium and then each keeps a private favorite: Copilot’s is Escuela Mundial (68.8%), Gemini leans La Viruta and DNI, ChatGPT spreads widest.\n\n#\n\nVenue\n\nAI Mode96 captures\n\nChatGPT96 captures\n\nPerplexity8 captures\n\nGemini96 captures\n\nCopilot96 captures\n\n1\n\nLa Viruta Tango Club\n\n61.5%(59)\n\n59.4%(57)\n\n8\n\n66.7%(64)\n\n54.2%(52)\n\n2\n\nEscuela Mundial de Tango Gabriela Elias\n\n46.9%(45)\n\n35.4%(34)\n\n1\n\n14.6%(14)\n\n68.8%(66)\n\n3\n\nLa Catedral Club\n\n24%(23)\n\n4.2%(4)\n\n5\n\n35.4%(34)\n\n34.4%(33)\n\n4\n\nEl Beso\n\n16.7%(16)\n\n24%(23)\n\n2\n\n28.1%(27)\n\n10.4%(10)\n\n5\n\nRECOLETA TANGO STUDIO\n\n7.3%(7)\n\n25%(24)\n\n0\n\n5.2%(5)\n\n42.7%(41)\n\n6\n\n\"Club Gricel\" Tango Argentina\n\n19.8%(19)\n\n14.6%(14)\n\n0\n\n27.1%(26)\n\n14.6%(14)\n\n7\n\nPalermo Tango Studio\n\n2.1%(2)\n\n17.7%(17)\n\n0\n\n0(0)\n\n46.9%(45)\n\n8\n\nLa Escuela Del Tango\n\n6.2%(6)\n\n11.5%(11)\n\n1\n\n8.3%(8)\n\n28.1%(27)\n\n9\n\nDNI Tango Store\n\n10.4%(10)\n\n12.5%(12)\n\n0\n\n29.2%(28)\n\n2.1%(2)\n\n10\n\nMariposita de San Telmo\n\n10.4%(10)\n\n12.5%(12)\n\n0\n\n15.6%(15)\n\n7.3%(7)\n\n11\n\nSalón Canning\n\n9.4%(9)\n\n3.1%(3)\n\n1\n\n21.9%(21)\n\n7.3%(7)\n\n12\n\nCETBA Universidad del tango\n\n15.6%(15)\n\n8.3%(8)\n\n0\n\n17.7%(17)\n\n0(0)\n\nPerplexity column shows raw counts on its 8 landed captures — a denominator too small for percentages (section 9).\n\n#### Top 12 venues by answer mentions — click a marker for per-engine counts\n\n1La Viruta Tango Club2Escuela Mundial de Tango Gabriela Elias3La Catedral Club4El Beso5RECOLETA TANGO STUDIO6\"Club Gricel\" Tango Argentina7Palermo Tango Studio8La Escuela Del Tango9DNI Tango Store10Mariposita de San Telmo11Salón Canning12CETBA Universidad del tango\n\nSection 4\n\n## Count mentions and count citations, and you crown two different schools\n\nThis series scores every city two ways on purpose. By answer mentions — how often an engine actually names a venue — La Viruta wins with 240 and a citation score of just 40. By citation counting — whose web pages the engines attach as sources — the winner is Escuela Mundial de Tango Gabriela Elías: score 131, its own domain drawing 63 citations from three engines, while sitting second on mentions (160).\n\nThe gap is the story. La Viruta’s fame lives in prose, guidebooks and city pages; Escuela Mundial’s SEO-tuned multilingual site is what the retrieval step actually reads. A citation-counted dashboard would rank the school above the landmark — and would be measuring the wrong thing, because the recommendation a user hears is the mention.\n\nThe raw citation-counted board also produced this run’s artifact: an Instagram-only studio (“Pa’ Bailar”) briefly “won” with a score of 177 because it lists instagram.com as its website, inheriting all 70 of Copilot’s Instagram citations. The identity guard added after Marseille’s equivalent case caught it; it appears on no board on this page.\n\n#1 by answer mentions\n\nLa Viruta Tango Club\n\n240 of 392 answers · all 5 engines · cite score 40\n\n#1 by citation score\n\nEscuela Mundial de Tango\n\ncite score 131 · 63 domain citations · 160 mentions (#2)\n\n**When the two boards disagree**Mexico City’s mentions winner (El Vilsito) lost the citation count to Taquería Orinoco, and Seoul’s (Fritz Coffee Company) lost it to ACR — while Istanbul and Helsinki each had one venue top both boards. Whenever a vertical’s most-loved venue and its best-optimized website belong to different businesses, the two metrics disagree — which is exactly why both are published.\n\nSection 5\n\n## Ask Gemini for a class, get a ticket counter\n\nEach engine keeps its structural personality, and Buenos Aires adds a wrinkle the series hadn’t seen: a dinner-show commerce layer. 140 of Gemini’s 579 citations (24.2%) point at show-ticketing and tango tour agencies — showdetango.com alone takes 81, making a ticket reseller Gemini’s most-cited domain in a study about learning to dance.\n\nsource-mix-by-platform-tango\n\nPerplexity is not charted: its 8 landed captures produced 10 citations, a sample that would render as noise dressed up as a distribution.\n\n66.9%\n\nCopilot stays the entity engine\n\n352 of 526 citations on venue-owned sites. Copilot leads the other engines here, as it has everywhere I have recomputed this, but how much it gets follows the market: the share has run from 25.7% in Seoul coffee to 97% in Amsterdam bike shops, median 83%. Buenos Aires lands under that median, beside Istanbul’s 67% and Helsinki’s 71%. Social takes 16% of its column, and Instagram is the part of that I can name: 70 citations, 13.3% of everything Copilot cited, and no other engine cited Instagram once.\n\n0\n\nChatGPT’s Reddit era is over\n\nFrom a 17–20% Reddit share in four consecutive studies to 0.4% in Helsinki to literally zero here. Study-wide, reddit.com received 7 citations — 5 from Gemini, 2 from Perplexity, none from anyone else.\n\n100%\n\nAI Mode cites only itself now\n\nAll 542 of its citations are google.com searchviewer links — the domain dimension died as an instrument in September. Section 9 and [the svid study](/research/google-ai-mode-searchviewer-svid-2026) cover what happened.\n\nSection 6\n\n## ChatGPT trusts city hall more than the schools\n\nAdd up ChatGPT’s citations to the Buenos Aires city government — turismo.buenosaires.gob.ar plus buenosaires.gob.ar — and you get 94. Its citations to every venue-owned website combined: 93. The single most-cited non-Google domain in the whole study is the city’s own tourism guide at 85 citations across three engines.\n\nHelsinki showed the first version of this — myhelsinki.fi topping the table — and Buenos Aires makes it two cities in a row, with a twist: here the government pages aren’t just guides. The city runs milonga listings, free classes at cultural centers, and program pages that dozens of venues use as their only web presence. When a porteño-persona prompt asks where locals learn, the engines answer from the city’s own cultural program.\n\nFor the engines’ purposes, Buenos Aires documents its dance better than the dance documents itself.\n\n**An official-layer playbook is emerging**Two consecutive cities where the top non-Google source is the municipal tourism site. A tango school that can’t staff its own SEO has a second lever nobody in local-business marketing talks about: get listed in the city’s official cultural agenda, because that is the page the machines read first.\n\nSection 7\n\n## The twelve domains that answer tango questions\n\ngoogle.com sits out of this table: its 542 citations are all AI Mode pointing at itself. Among real destinations, the pattern is one government guide, one ticket seller, one social platform — and then schools’ own websites, which is where the citation-counted leaderboard is decided.\n\nMost-cited non-Google domains across 2,025 citations (normalized), 2026-09-02\n\nDomain\n\nEngines\n\nCitations\n\nWhat it is\n\nturismo.buenosaires.gob.ar\n\n3/5\n\n85\n\nThe city government’s tourism guide — the study’s most-cited non-Google domain\n\nshowdetango.com\n\n1/5\n\n81\n\nDinner-show ticketing agency; every one of these citations is Gemini’s\n\ninstagram.com\n\n1/5\n\n70\n\nEvery one of these citations is Copilot’s\n\npixidia.com\n\n2/5\n\n67\n\nGeneric places directory\n\nescuelamundialdetango.com\n\n3/5\n\n63\n\nEscuela Mundial de Tango — the citation-counted #1\n\nadrianlunacoach.com\n\n3/5\n\n59\n\nA private-lesson coach’s own site\n\nlavirutatangoar.com\n\n3/5\n\n48\n\nLa Viruta — the consensus #1 by answer mentions\n\ntangovida.org\n\n3/5\n\n46\n\nTango portal / blog\n\nbuenosaires.gob.ar\n\n2/5\n\n46\n\nThe city government proper — cultural-center program pages\n\nmariposita.com.ar\n\n3/5\n\n43\n\nMariposita de San Telmo’s own site\n\nelizabethmatiasarte.com\n\n2/5\n\n37\n\nRecoleta Tango Studio’s own site\n\ngetyourguide.com\n\n4/5\n\n29\n\nThe only domain in the study cited by four engines\n\nEngine counts out of the 5 fired; a domain cited only by Gemini reads 1/5. getyourguide.com’s 4/5 makes the experiences marketplace the study’s most widely shared source — every engine except AI Mode reaches for it.\n\nSection 8\n\n## Where the machines put tango on the map\n\nThe registry spans the whole city — Almagro and Villa Crespo hold the milonga belt, San Nicolás and Monserrat the downtown academies, Palermo the tourist-facing studios. The engines’ district accuracy follows the canon: asked for Palermo classes, ChatGPT keeps 70% of its recommendations in Palermo; asked for San Telmo, 50%; asked for “downtown”, 0% — because the registry stores downtown as its real barrio names (San Nicolás, Monserrat), a seed-granularity artifact the series has hit before in Amsterdam and Berlin, disclosed rather than repaired.\n\n#### All 257 mapped registry venues across Buenos Aires\n\nSection 9\n\n## What the instruments did this run\n\n### Perplexity failed, twice, and is reported as counts only\n\nBoth Perplexity batches (48 prompts × US, × AR) returned as unmatched error items; 5 captures survived the first pass and a targeted refire of only the missing prompt×proxy pairs recovered 3 more, all US-proxy. That leaves 8 of 96 (10 citations, 37 mentions). Its counts appear in study totals and the matrix; no Perplexity percentage appears anywhere on this page, and the 88 missing captures are disclosed in the methodology and the Dataset schema rather than filled in.\n\n### AI Mode’s source trail is now a hall of mirrors\n\n100% of AI Mode’s 542 citations are google.com/searchviewer links — the September infrastructure change decoded in [the searchviewer svid study](/research/google-ai-mode-searchviewer-svid-2026): publisher URLs are wrapped in Google’s own viewer. The series’ “AI Mode google.com %” metric, 52–75% for ten studies, retires at exactly 100.\n\n### ChatGPT’s map carousel came back\n\nA week earlier in Helsinki the carousel appeared in 1 of 96 captures and the overlap metric had to be rebuilt from prose mentions. Here it rendered in 95 of 96 captures, delivering 1,369 map entities — so section 1 is measured with the series’ original instrument again. Same model family, seven days apart. Treat any single-run widget behavior as weather.\n\n### Three answers recommended nothing\n\n3 of 392 captures name no venue at all — all three are AI Mode captures that answered in generalities. Every other answer in the study recommended at least one resolvable place.\n\n## If you run a tango school in Buenos Aires\n\n1\n\n**An own domain is the single measurable lever.** 37.7% of the registry has one; those venues collect ChatGPT’s 93 own-site citations and dominate Copilot’s 66.9%. An Instagram page collects Copilot’s Instagram bucket — attributed to the platform, never to you.\n\n2\n\n**Get into the city’s official listings.** The government portal outdraws every venue site in this study (85 + 46 citations). A line in the municipal milonga agenda or a cultural center program is machine-visible in a way a flyer will never be.\n\n3\n\n**Publish in both languages, but know what it buys.** The famous-venue canon already crosses languages by itself; the 0%-overlap prompts — private lessons, advanced training, cheap classes — are where an English page still decides whether tourists can find you at all.\n\n4\n\n**Watch where Gemini sends your students.** A quarter of its citations are ticket resellers. If your school also runs a show, the resellers are describing you to the machines — on their margin, in their words.\n\n## Conclusion\n\nEleven studies ago this series began with a simple question — which businesses do the machines recommend, and from what evidence. Buenos Aires answers with its most structured picture yet: a mention canon led by a basement milonga every engine knows, a citation economy led by whichever school built the best website, a government portal quietly outranking both, and one engine funneling students toward ticket counters.\n\nThe result worth carrying forward is the language one. The tourist-city split that looked structural after Istanbul and Mexico City turns out to be conditional: it happens where fame is local-language-only. Where the venues are famous in every language, the engines converge on one canon — and tango’s canon has been global for a century. The corpus was multilingual before the models were.\n\nNext in the series: a vertical where the density law predicts a share we haven’t observed yet, and a continent it hasn’t visited.\n\n## Methodology\n\n### The grid\n\n24 prompt templates (control, styles, formats, levels, personas, districts, price, plus milonga and dinner-show entity-bleed controls) × 2 languages (English, Rioplatense Spanish) × 5 engines (ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode) × 2 proxy countries (US, AR), fired 2026-09-02 via Bright Data through the pipeline’s in-process fallback runner (Modal is unreachable from the run sandbox; identical payloads and storage). 392 of 480 captures landed: ChatGPT, Gemini, Copilot and AI Mode each 96/96; Perplexity 8/96 — both its batches returned error items, one targeted refire recovered 3 captures, and the 88 absent captures are disclosed, never imputed.\n\n### The registry\n\n432 Apify Google Maps rows from tango-specific searches (“tango school”, “escuela de tango”, “clases de tango”, “tango lessons”, “milonga”), classified by a name-verified category map: schools, milongas and instructor-led studios kept real (257 rows) — Google files famous milongas under Dance hall, Night club, Ballroom, Playground and Tourist attraction, all kept — while dinner-show houses, generic cultural centers, Spanish schools and tango-shoe retail are classified out. Three name-targeted recovery passes added 9 venues the engines recommend that the broad pull missed (dinner-show houses seeded as non-venues for the bleed probe). One judgment call is flagged for review in the PR: DNI Tango’s only Google listing is its street-level shop, reclassified here as the school it fronts.\n\n### Extraction and resolution\n\nVenues named in each prose answer were extracted by an LLM NER pass — a Claude extractor this run, standing in for the usual Gemini one under the same rule set, with every one of the 2,281 extracted names mechanically verified to appear verbatim in its source answer. Names were resolved to the registry in strict precedence: exact normalized match, fuzzy (≥0.86), Spanish-diacritic folding, a hand-checked alias table, then unique token containment — 83.8% of mention rows resolved. Two same-address duplicate Google listings (La Viruta’s two pages, La Catedral’s two pages) are merged by street address, documented in the run’s resolution script. Unresolved names stay flagged as outside-registry recommendations; the largest are a dance-agenda app (BailaBA) and four instructor brands with no Google Maps presence.\n\n### Counting rules\n\nCitations are per-capture deduplicated URLs; source buckets are keyword-and-domain based with venue identity decided only by registry website domains (a keyword heuristic was tested and rejected this run — in a vertical where every portal contains “tango”, it misfiled ~200 citations). Social platforms, city-government pages and the hoy-milonga agenda never count as a venue’s identity domain. The leaderboard counts each venue once per capture; the citation score counts ChatGPT map presence plus citation-domain matches. Percentages in the source-mix chart are largest-remainder rounded per engine to sum to exactly 100. All headline stats are published as [summary.csv](/data/tango-schools-buenos-aires-ai-search-2026/summary.csv).\n\n## Frequently Asked Questions\n\n## Related studies\n\n[\n\nAI Search for Saunas in Helsinki\n\nThe density law's top point, and the first 100% language overlap\n\n](/research/saunas-helsinki-ai-search-2026)[\n\nAI Search for Tacos in Mexico City\n\nThe other Latin American city — where the two languages shared nothing\n\n](/research/tacos-mexico-city-ai-search-2026)[\n\nAI Search for Barbershops in Istanbul\n\nZero English–Turkish overlap — the series floor, matched by Mexico City\n\n](/research/barbershops-istanbul-ai-search-2026)[\n\nAI Mode Stopped Linking Publishers\n\nWhy AI Mode's citation column reads 100% google.com this run\n\n](/research/google-ai-mode-searchviewer-svid-2026)","author":{"@type":"Person","name":"Nicolas Sitter","url":"https://nicolassitter.com/about","sameAs":["https://www.linkedin.com/in/nicolassitternolleau/","https://github.com/Nicositter88","https://hotelrank.ai"]},"publisher":{"@type":"Person","name":"Nicolas Sitter","url":"https://nicolassitter.com"},"image":"https://nicolassitter.com/api/og/tango-schools-buenos-aires-ai-search-2026","mainEntityOfPage":{"@type":"WebPage","@id":"https://nicolassitter.com/research/tango-schools-buenos-aires-ai-search-2026"},"tags":["AI Search","Local Search","Tango","Buenos Aires","Citations","GEO"],"sameAs":["https://hotelrank.ai/research/tango-schools-buenos-aires-ai-search-2026"],"alternateFormat":{"html":"https://nicolassitter.com/research/tango-schools-buenos-aires-ai-search-2026","json":"https://nicolassitter.com/api/post/tango-schools-buenos-aires-ai-search-2026","rss":"https://nicolassitter.com/rss.xml"},"datasets":[{"name":"summary","contentUrl":"https://nicolassitter.com/data/tango-schools-buenos-aires-ai-search-2026/summary.csv","encodingFormat":"text/csv"}]}