Best Western France:Does ChatGPT know the network?
TL;DR: We asked ChatGPT 8,370 unbranded questions — never once naming “Best Western” — across every one of the network’s 242 French cities. Best Western surfaced organically in 64.8% of answers where the query never named it. But that headline hides a 28-point gap between towns where it’s the only real option and cities where it has to compete, a near-disappearance on budget-framed searches, and two cities where it never showed up at all.
An interactive brand AI-visibility audit
Best Western France operates 322 reconciled hotels across 242 cities — mostly 3-4 star, provincial, roadside-and-business inventory, not the palace-and-boutique segment most AI hotel coverage focuses on. This page asks a narrower, more useful question than “is Best Western good at AI SEO”: when someone asks a completely generic hotel question about a town where Best Western operates — never naming the brand — does the AI mention it anyway?
It’s both a project and an article: the map and explorer below are interactive, backed by the same live snapshot tables that power the citable data feed. The prose sections around them walk through what we found, in the order the questions get more specific: does it show up at all, where does it stop showing up, and who takes its place when it doesn’t.
French + FR-proxy is the primary pass, not English + US
Most of this site’s cross-vertical AI-search field tests default to English-only, US-proxy-only prompts, matching an international-traveler assumption. That convention doesn’t transfer to a brand study of Best Western France specifically, because most of its clientele isn’t that. The evidence comes directly from Best Western France’s own 2025/2026 press releases (pressroom.bestwestern.fr):
National context backs this up directionally: INSEE puts France’s 3-star hotel clientele at roughly 40-47% foreign depending on season — but that figure is itself Paris/Riviera-weighted at the national level, consistent with the other ~76% of this network (240 of 242 reconciled cities, everywhere outside Paris+PACA) sitting well below it, toward domestic French.
Design consequence: two passes, not a uniform cross-product. A primary pass (French, FR-proxy) across all 242 reconciled cities, matching the real, majority-domestic, majority-business clientele across the network; and an add-on pass (English, US-proxy) scoped to Paris + all 36 PACA cities (37 total) — exactly where Best Western’s own reporting says foreign leisure clientele concentrates. 8,370 distinct prompts, every one unbranded (no “Best Western” anywhere in the text): the question is whether the brand surfaces when someone asks a generic hotel question about a destination where it has a property, not whether the AI can describe a hotel the user already named.
additional_answer_text plus citations), which populated cleanly and was unaffected by the outage.Every tracked property, colored by mention rate
Hover any dot for its city’s mention rate. Larger, white-ringed dots are flagship-named properties; smaller, dark-ringed dots are soft-brand properties (Sure Hotel, BW Premier/Signature Collection) — which, as the naming section below shows, get recognized far less reliably.
267 Best Western France properties — colored by AI mention rate
Filter by dimension, search by city
The same three cuts driving the findings below, live: mention rate by query dimension (archetype, star/budget tier, persona, amenity, language), a searchable/sortable city leaderboard, and the competitor leaderboard.
| City | Region | Hotels | Captures | Mention rate | Avg rank |
|---|---|---|---|---|---|
| Port Jerome Sur Seine | Haute-Normandie | 1 | 90 | 100% | 1.1 |
| Le Poinconnet | Centre | 1 | 90 | 100% | 1.2 |
| Feytiat | Limousin | 1 | 89 | 100% | 2.1 |
| Perignat Les Sarlieve | Auvergne | 1 | 89 | 100% | 1.3 |
| La Tour De Salvagny | Rhone-Alpes | 1 | 89 | 100% | 1.4 |
| Fresnes-Les-Montauban | Nord-Pas-de-Calais | 1 | 89 | 100% | 1.4 |
| Saint-Brice-Courcelles | Champagne-Ardenne | 1 | 89 | 100% | 1.4 |
| Vertus Blancs Coteaux | Champagne-Ardenne | 1 | 89 | 100% | 1.4 |
| Varennes-Jarcy | Ile-de-France | 1 | 89 | 100% | 1.2 |
| Baldersheim | Alsace | 1 | 88 | 100% | 1.3 |
| Dorlisheim | Alsace | 1 | 88 | 100% | 1.5 |
| Rang Du Fliers | Nord-Pas-de-Calais | 1 | 87 | 100% | 1.4 |
| Port-Saint-Pere | Pays-de-la-Loire | 1 | 86 | 100% | 1.1 |
| Meung Sur Loire | Centre | 1 | 86 | 100% | 1.5 |
| Fournels | Languedoc-Roussillon | 1 | 60 | 100% | 1.3 |
| Talant | Bourgogne | 1 | 60 | 100% | 1.2 |
| Saulx Les Chartreux | Ile-de-France | 1 | 59 | 100% | 1.4 |
| Saint-Pierre-Du-Mont | Aquitaine | 1 | 59 | 100% | 1.5 |
| Fontaine Le Comte | Poitou-Charentes | 1 | 30 | 100% | 1.5 |
| Le Passage | Aquitaine | 1 | 10 | 100% | 1.7 |
| Plouescat | Bretagne | 1 | 90 | 98.9% | 1.6 |
| Couiza | Languedoc-Roussillon | 1 | 89 | 98.9% | 1.2 |
| Anzin-Saint-Aubin | Nord-Pas-de-Calais | 1 | 88 | 98.9% | 1.2 |
| Margny-Les-Compiegne | Picardie | 1 | 88 | 98.9% | 1.1 |
| Marguerittes | Languedoc-Roussillon | 1 | 87 | 98.9% | 1.4 |
| Maisons Laffitte | Ile-de-France | 1 | 70 | 98.6% | 1.3 |
| Ducey | Basse-Normandie | 1 | 60 | 98.3% | 1.8 |
| Jons | Rhone-Alpes | 1 | 59 | 98.3% | 1.3 |
| Lescar | Aquitaine | 1 | 90 | 97.8% | 1.4 |
| Buc | Ile-de-France | 1 | 89 | 97.8% | 1.5 |
| Ris-orangis | Ile-de-France | 1 | 89 | 97.8% | 1.4 |
| Dourdan | Ile-de-France | 1 | 46 | 97.8% | 1.3 |
| Maubeuge | Nord-Pas-de-Calais | 1 | 88 | 97.7% | 1.3 |
| Pauillac | Aquitaine | 1 | 86 | 97.7% | 1.9 |
| Bressols | Midi-Pyrenees | 1 | 90 | 96.7% | 1.4 |
| Bois-colombes | Ile-de-France | 1 | 90 | 96.7% | 1.4 |
| Marquise | Nord-Pas-de-Calais | 1 | 90 | 96.7% | 1.4 |
| Quetigny | Bourgogne | 1 | 90 | 96.7% | 1.3 |
| Armbouts-Cappel | Nord-Pas-de-Calais | 1 | 60 | 96.7% | 1.3 |
| Moissac Bellevue | PACA | 1 | 119 | 96.6% | 1.1 |
| Guyancourt | Ile-de-France | 1 | 87 | 96.6% | 2.4 |
| Loos | Nord-Pas-de-Calais | 1 | 87 | 96.6% | 1.2 |
| Andrezieux-Boutheon | Rhone-Alpes | 1 | 90 | 95.6% | 1.7 |
| Eysines | Aquitaine | 1 | 89 | 95.5% | 1.2 |
| Pontorson | Basse-Normandie | 1 | 89 | 95.5% | 1.7 |
| Boujan-Sur-Libron | Languedoc-Roussillon | 1 | 88 | 95.5% | 1.4 |
| Moissac | Midi-Pyrenees | 1 | 86 | 95.3% | 2.3 |
| Vendôme | Centre | 1 | 60 | 95% | 1.6 |
| Chanteloup-en-Brie | Ile-de-France | 1 | 53 | 94.3% | 1.7 |
| Peronne | Picardie | 1 | 90 | 93.3% | 2.1 |
| Argentan | Basse-Normandie | 1 | 88 | 93.2% | 2.3 |
| Remiremont | Lorraine | 1 | 59 | 93.2% | 1.6 |
| Thoirymulti-hotel | Ile-de-France | 2 | 59 | 93.2% | 2.0 |
| Soissons | Picardie | 1 | 66 | 92.4% | 1.6 |
| Kaysersberg | Alsace | 1 | 90 | 92.2% | 1.8 |
| Guerandemulti-hotel | Pays-de-la-Loire | 2 | 60 | 91.7% | 2.1 |
| Bois Guillaume | Haute-Normandie | 1 | 59 | 91.5% | 1.1 |
| Flers | Basse-Normandie | 1 | 59 | 91.5% | 1.9 |
| Loches | Centre | 1 | 58 | 91.4% | 1.6 |
| Thionville | Lorraine | 1 | 57 | 91.2% | 2.1 |
| Epagny Metz-Tessy | Rhone-Alpes | 1 | 90 | 91.1% | 1.5 |
| Larmor-plage | Bretagne | 1 | 90 | 91.1% | 1.7 |
| Marsac-Sur-L'Isle | Aquitaine | 1 | 90 | 91.1% | 1.4 |
| Rouvignies | Nord-Pas-de-Calais | 1 | 89 | 91% | 1.7 |
| Chantilly | Picardie | 1 | 88 | 90.9% | 1.6 |
| Rambouillet | Ile-de-France | 1 | 90 | 90% | 1.8 |
| Holnon | Picardie | 1 | 90 | 90% | 1.4 |
| Trignac | Pays-de-la-Loire | 1 | 90 | 90% | 2.0 |
| Saint Quentin | Picardie | 1 | 30 | 90% | 2.4 |
| Tonnay-Charente | Poitou-Charentes | 1 | 88 | 89.8% | 1.7 |
| Clisson | Pays-de-la-Loire | 1 | 89 | 88.8% | 1.7 |
| Ramonville-saint-agne | Midi-Pyrenees | 1 | 89 | 88.8% | 1.5 |
| Lectoure | Midi-Pyrenees | 1 | 88 | 88.6% | 1.4 |
| Sausset-Les-pins | PACA | 1 | 174 | 88.5% | 1.6 |
| Chassieu | Rhone-Alpes | 1 | 60 | 88.3% | 1.2 |
| Bondues | Nord-Pas-de-Calais | 1 | 60 | 88.3% | 2.3 |
| Meudon-la-foret | Ile-de-France | 1 | 60 | 88.3% | 1.7 |
| Castelnau Le Lez | Languedoc-Roussillon | 1 | 59 | 88.1% | 1.9 |
| Riquewihr | Alsace | 1 | 90 | 87.8% | 1.4 |
| Laguiole | Midi-Pyrenees | 1 | 87 | 87.4% | 1.6 |
| Prades | Languedoc-Roussillon | 1 | 90 | 86.7% | 2.5 |
| Vincennes | Ile-de-France | 1 | 90 | 86.7% | 2.3 |
| Lorientmulti-hotel | Bretagne | 2 | 60 | 86.7% | 2.0 |
| Pertuis | PACA | 1 | 146 | 85.6% | 1.7 |
| Colomiers | Midi-Pyrenees | 1 | 88 | 85.2% | 1.7 |
| Orléans | Centre | 1 | 90 | 84.4% | 2.4 |
| Saclay | Ile-de-France | 1 | 89 | 84.3% | 1.9 |
| Cahors | Midi-Pyrenees | 1 | 60 | 83.3% | 1.6 |
| Embrun | PACA | 1 | 178 | 82.6% | 1.6 |
| Le Cannet Des Maures | PACA | 1 | 90 | 82.2% | 2.7 |
| Auray | Bretagne | 1 | 89 | 82% | 2.7 |
| Saint-laurent-du-var | PACA | 1 | 176 | 81.8% | 2.8 |
| Canet Plage | Languedoc-Roussillon | 1 | 88 | 81.8% | 2.0 |
| Les Ponts De Ce | Pays-de-la-Loire | 1 | 89 | 80.9% | 2.2 |
| Sainte-maximemulti-hotel | PACA | 2 | 146 | 80.8% | 2.9 |
| Bourgoin-Jallieu | Rhone-Alpes | 1 | 30 | 80% | 2.8 |
| Fougères | Bretagne | 1 | 89 | 79.8% | 2.3 |
| Sartene | Corse | 1 | 89 | 79.8% | 2.5 |
| La Ciotat | PACA | 1 | 148 | 79.1% | 1.5 |
| Besse-Et-Saint-Anastaise | Auvergne | 1 | 88 | 78.4% | 1.7 |
| Aurillac | Auvergne | 1 | 60 | 78.3% | 2.0 |
| Gradignan | Aquitaine | 1 | 60 | 78.3% | 2.1 |
| Saint Amand Les Eaux | Nord-Pas-de-Calais | 1 | 89 | 77.5% | 2.0 |
| Saint-Herblainmulti-hotel | Pays-de-la-Loire | 2 | 88 | 77.3% | 2.4 |
| Bourg-Les-Valence | Rhone-Alpes | 1 | 88 | 77.3% | 3.1 |
| Villefranche-sur-Saône | Rhone-Alpes | 1 | 88 | 77.3% | 1.6 |
| Saint-Cyr-Sur-Mer | PACA | 1 | 148 | 77% | 2.6 |
| Besanconmulti-hotel | Franche-Comte | 2 | 60 | 76.7% | 2.3 |
| Saint Jean De Maurienne | Rhone-Alpes | 1 | 60 | 76.7% | 2.5 |
| Sari-Solenzara | Corse | 1 | 60 | 76.7% | 1.4 |
| Reimsmulti-hotel | Champagne-Ardenne | 2 | 89 | 76.4% | 2.5 |
| Velizy Villacoublay | Ile-de-France | 1 | 89 | 76.4% | 2.9 |
| Dole | Franche-Comte | 1 | 59 | 76.3% | 1.8 |
| Mandelieu La Napoule | PACA | 1 | 147 | 76.2% | 1.9 |
| Chenove | Bourgogne | 1 | 88 | 76.1% | 2.3 |
| Epinal | Lorraine | 1 | 88 | 76.1% | 1.7 |
| Châteauroux | Centre | 1 | 89 | 75.3% | 2.3 |
| Balaruc-les-bains | Languedoc-Roussillon | 1 | 87 | 74.7% | 3.0 |
| Aubagne | PACA | 1 | 118 | 74.6% | 2.2 |
| Valence | Rhone-Alpes | 1 | 88 | 73.9% | 2.6 |
| Chateau-thierry | Picardie | 1 | 90 | 73.3% | 2.2 |
| Senlis | Picardie | 1 | 90 | 73.3% | 2.3 |
| Bedee | Bretagne | 1 | 89 | 73% | 1.1 |
| Orleans | Centre | 1 | 89 | 73% | 2.3 |
| Vitrolles | PACA | 1 | 179 | 72.1% | 1.7 |
| Tournus | Bourgogne | 1 | 74 | 71.6% | 2.2 |
| Saint-paul-les-dax | Aquitaine | 1 | 62 | 71% | 2.4 |
| Maussane-les-alpilles | PACA | 1 | 174 | 70.7% | 3.0 |
| Limoges | Limousin | 1 | 57 | 70.2% | 1.9 |
| Selestat | Alsace | 1 | 90 | 70% | 2.0 |
| Villard-de-lans | Rhone-Alpes | 1 | 59 | 69.5% | 2.6 |
| Bormes-les-Mimosas | PACA | 1 | 176 | 69.3% | 1.6 |
| Ploubazlanec | Bretagne | 1 | 90 | 68.9% | 2.5 |
| Gemenos | PACA | 1 | 147 | 68.7% | 2.6 |
| Le Grand-bornand | Rhone-Alpes | 1 | 88 | 68.2% | 2.4 |
| Montreuil-sur-Mer | Nord-Pas-de-Calais | 1 | 89 | 67.4% | 2.9 |
| Brive-La-Gaillarde | Limousin | 1 | 88 | 67% | 2.2 |
| Ouistreham | Basse-Normandie | 1 | 90 | 66.7% | 2.6 |
| Belfort | Franche-Comte | 1 | 59 | 66.1% | 3.4 |
| Auxerre | Bourgogne | 1 | 58 | 65.5% | 2.2 |
| Clermont Ferrandmulti-hotel | Auvergne | 2 | 29 | 65.5% | 2.6 |
| Nancy | Lorraine | 1 | 89 | 65.2% | 3.0 |
| Trouville-sur-mer | Basse-Normandie | 1 | 89 | 65.2% | 2.7 |
| Niort | Poitou-Charentes | 1 | 88 | 64.8% | 2.1 |
| Evreux | Haute-Normandie | 1 | 86 | 64% | 2.1 |
| Caenmulti-hotel | Basse-Normandie | 4 | 57 | 63.2% | 3.0 |
| Chinon | Centre | 1 | 90 | 62.2% | 2.9 |
| Ile-Rousse | Corse | 1 | 89 | 61.8% | 2.9 |
| Saint-brieuc | Bretagne | 1 | 89 | 61.8% | 2.9 |
| Quiberon | Bretagne | 1 | 60 | 61.7% | 2.7 |
| Bastia | Corse | 1 | 88 | 61.4% | 2.4 |
| Nantesmulti-hotel | Pays-de-la-Loire | 3 | 88 | 61.4% | 2.4 |
| Juan-les-pins | PACA | 1 | 147 | 61.2% | 3.2 |
| Bourges | Centre | 1 | 87 | 60.9% | 1.8 |
| Bourg-en-bresse | Rhone-Alpes | 1 | 87 | 60.9% | 3.1 |
| Saint-Ouen-Sur-Seine | Ile-de-France | 1 | 87 | 60.9% | 3.0 |
| Manosque | PACA | 1 | 88 | 60.2% | 2.9 |
| Macon | Bourgogne | 1 | 89 | 59.6% | 2.3 |
| Troyes | Champagne-Ardenne | 1 | 86 | 59.3% | 2.6 |
| Sanary-Sur-mer | PACA | 1 | 175 | 58.9% | 2.7 |
| Cholet | Pays-de-la-Loire | 1 | 90 | 58.9% | 2.5 |
| Figeac | Midi-Pyrenees | 1 | 29 | 58.6% | 2.9 |
| Mulhousemulti-hotel | Alsace | 2 | 86 | 58.1% | 3.2 |
| Vannesmulti-hotel | Bretagne | 2 | 88 | 58% | 2.6 |
| Ploermel | Bretagne | 1 | 59 | 57.6% | 2.3 |
| Plaisir | Ile-de-France | 1 | 60 | 56.7% | 2.6 |
| Dunkerque | Nord-Pas-de-Calais | 1 | 87 | 56.3% | 3.2 |
| Castres | Midi-Pyrenees | 1 | 86 | 55.8% | 3.0 |
| Quimper | Bretagne | 1 | 90 | 55.6% | 2.4 |
| Albert | Picardie | 1 | 89 | 55.1% | 2.6 |
| Rouenmulti-hotel | Haute-Normandie | 2 | 89 | 55.1% | 3.1 |
| Saint-nazaire | Pays-de-la-Loire | 1 | 88 | 54.5% | 2.8 |
| Coquelles | Nord-Pas-de-Calais | 1 | 59 | 54.2% | 3.6 |
| Strasbourgmulti-hotel | Alsace | 4 | 88 | 53.4% | 3.0 |
| Grasse | PACA | 1 | 149 | 53% | 2.7 |
| Toulon | PACA | 1 | 119 | 52.9% | 3.0 |
| Orange | PACA | 1 | 146 | 52.1% | 3.1 |
| Avignonmulti-hotel | PACA | 2 | 118 | 51.7% | 2.7 |
| Le Mans | Pays-de-la-Loire | 1 | 89 | 50.6% | 1.6 |
| Royan | Poitou-Charentes | 1 | 89 | 50.6% | 3.2 |
| Mentonmulti-hotel | PACA | 2 | 149 | 50.3% | 2.6 |
| Fontvieille | PACA | 1 | 146 | 49.3% | 2.0 |
| Saint-raphael | PACA | 1 | 145 | 47.6% | 3.3 |
| Cassismulti-hotel | PACA | 2 | 176 | 47.2% | 2.9 |
| Aix-les-bainsmulti-hotel | Rhone-Alpes | 2 | 89 | 46.1% | 3.4 |
| Lattes | Languedoc-Roussillon | 1 | 89 | 46.1% | 3.2 |
| Lourdes | Midi-Pyrenees | 1 | 86 | 44.2% | 3.5 |
| Le Havremulti-hotel | Haute-Normandie | 2 | 87 | 43.7% | 3.3 |
| Nevers | Bourgogne | 1 | 89 | 42.7% | 3.3 |
| Calvi | Corse | 1 | 88 | 39.8% | 3.5 |
| Metzmulti-hotel | Lorraine | 2 | 89 | 39.3% | 3.7 |
| La Baulemulti-hotel | Pays-de-la-Loire | 2 | 59 | 39% | 3.8 |
| Arcachon | Aquitaine | 1 | 88 | 38.6% | 4.0 |
| Montpelliermulti-hotel | Languedoc-Roussillon | 2 | 58 | 37.9% | 2.9 |
| Hyeres | PACA | 1 | 175 | 37.1% | 2.8 |
| Perros-guirec | Bretagne | 1 | 89 | 37.1% | 4.0 |
| Saint Etienne | Rhone-Alpes | 1 | 90 | 36.7% | 3.4 |
| Passymulti-hotel | Rhone-Alpes | 2 | 89 | 34.8% | 1.6 |
| Boulogne-billancourt | Ile-de-France | 1 | 90 | 34.4% | 3.8 |
| Asnieres-Sur-Seine | Ile-de-France | 1 | 89 | 33.7% | 3.3 |
| Bonifacio | Corse | 1 | 89 | 33.7% | 3.2 |
| Poitiers | Poitou-Charentes | 1 | 58 | 32.8% | 3.2 |
| Dinan | Bretagne | 1 | 90 | 32.2% | 3.0 |
| La Rochellemulti-hotel | Poitou-Charentes | 3 | 88 | 31.8% | 3.7 |
| Sarlat-la-caneda | Aquitaine | 1 | 88 | 31.8% | 2.9 |
| Ajaccio | Corse | 1 | 86 | 31.4% | 3.1 |
| Salon De Provence | PACA | 1 | 147 | 31.3% | 3.9 |
| Le Puy En Velay | Auvergne | 1 | 90 | 31.1% | 3.6 |
| Nicemulti-hotel | PACA | 8 | 171 | 30.4% | 3.1 |
| Amboise | Centre | 1 | 88 | 27.3% | 3.5 |
| Rennesmulti-hotel | Bretagne | 3 | 81 | 27.2% | 2.7 |
| Antibesmulti-hotel | PACA | 2 | 146 | 26% | 3.5 |
| Saumur | Pays-de-la-Loire | 1 | 63 | 25.4% | 3.6 |
| Toursmulti-hotel | Centre | 3 | 59 | 23.7% | 3.6 |
| Pau | Aquitaine | 1 | 87 | 23% | 3.2 |
| Beaune | Bourgogne | 1 | 88 | 22.7% | 3.8 |
| Issy-les-moulineaux | Ile-de-France | 1 | 88 | 22.7% | 3.4 |
| Lillemulti-hotel | Nord-Pas-de-Calais | 3 | 89 | 22.5% | 4.0 |
| Toulouse | Midi-Pyrenees | 1 | 86 | 20.9% | 2.8 |
| Cannesmulti-hotel | PACA | 4 | 145 | 20% | 4.1 |
| Puteaux | Ile-de-France | 1 | 90 | 20% | 3.9 |
| Biarritz | Aquitaine | 1 | 86 | 18.6% | 2.9 |
| Blois | Centre | 1 | 89 | 18% | 3.8 |
| Angouleme | Poitou-Charentes | 1 | 57 | 17.5% | 3.2 |
| Annecymulti-hotel | Rhone-Alpes | 3 | 88 | 15.9% | 4.3 |
| Colmar | Alsace | 1 | 87 | 14.9% | 4.2 |
| Nîmes | Languedoc-Roussillon | 1 | 90 | 14.4% | 4.1 |
| Bordeauxmulti-hotel | Aquitaine | 2 | 59 | 11.9% | 3.6 |
| Merignac | Aquitaine | 1 | 59 | 10.2% | 2.3 |
| Courbevoie | Ile-de-France | 1 | 60 | 10% | 4.0 |
| Parismulti-hotel | Ile-de-France | 26 | 169 | 7.7% | 3.9 |
| Chartres | Centre | 1 | 89 | 5.6% | 3.0 |
| Mazan | PACA | 1 | 148 | 5.4% | 2.6 |
| Mougins | PACA | 1 | 150 | 4.7% | 3.0 |
| Brest | Bretagne | 1 | 59 | 3.4% | 2.5 |
| Dijon | Bourgogne | 1 | 60 | 3.3% | 3.0 |
| Aix-en-Provence | PACA | 1 | 175 | 2.9% | 6.0 |
| Saint-malo | Bretagne | 1 | 85 | 1.2% | 5.0 |
| Marseillemulti-hotel | PACA | 2 | 171 | 0.6% | 3.0 |
| Honfleurmulti-hotel | Basse-Normandie | 2 | 87 | 0% | — |
| Lyonmulti-hotel | Rhone-Alpes | 4 | 60 | 0% | — |
- 1Hôtel Le Nouveau Monde204
- 2InterContinental Marseille - Hotel Dieu by IHG185
- 3Golden Tulip Saint Malo– Le Grand Bé180
- 4Hotel Le Pigonnet170
- 5Hôtel Rotonde Aix-en-Provence centre169
- 6Château de Mazan - Handwritten Collection168
- 7Grand Hôtel Des Thermes168
- 8Logis Hôtel Synaya162
- 9Hôtel Le Siècle161
- 10Le Negresco Nice155
Single-hotel cities vs. multi-hotel cities: a 28-point gap
Counterintuitive at first, but it makes sense once you separate “is there a hotel worth recommending” from “is it a Best Western”: multi-property cities are disproportionately the bigger, more competitive markets (Paris, Nice, Marseille, Cannes) where AI answers have many strong non-BW options to choose from. In a single-hotel small/mid-size city, the local BW property is often simply the most prominent hotel search-indexed for that town.
| Scope | Mention rate | Hits / captures |
|---|---|---|
| Single-hotel cities (1 BW property) | 69.2% | 12,608 / 18,210 |
| Multi-hotel cities (2+ BW properties) | 41.4% | 1,415 / 3,414 |
By query framing (archetype)
Comparison and open-ended framings surface Best Western the most; transactional and star/budget-tier framings the least.
| Archetype | Mention rate |
|---|---|
| comparison ("compare the top hotels in X") | 79.2% |
| occasion ("hotel in X for a weekend break") | 74.4% |
| amenity | 71.1% |
| open ("where to stay in X") | 71% |
| near (train station / city center) | 68.8% |
| persona | 68.3% |
| control ("best hotel in X") | 67.6% |
| transactional (book/cheapest/best value) | 52.6% |
| star_tier | 52.1% |
Star/budget tier and persona: where the brand nearly disappears
Best Western France’s real inventory clusters at 3-4 star. “Luxury hotel in X” scoring higher than “3-star” is a real, if mildly counterintuitive, AI-behavior finding: a small/mid-size town often has no genuine luxury option, and the AI falls back to the most prominent hotel it has — frequently the local Best Western. “Cheap hotel” queries, by contrast, pull in budget chains (Ibis Budget, Premiere Classe, F1) that undercut Best Western on price positioning even in towns where it’s the only real full-service option.
| Tier | Mention rate |
|---|---|
| budget ("cheap hotel in X") | 33.8% |
| 3-star | 54% |
| luxury | 55.1% |
| 4-star | 64.9% |
Persona: business travelers see it far more than couples
Consistent with the methodology section’s finding from Best Western France’s own press data (Corporate revenue 15x Leisure) — the AI models’ associative sense of the brand skews business/roadside too, not just the real booking mix.
| Persona | Mention rate |
|---|---|
| business_traveler | 80.7% |
| solo_leisure | 69.1% |
| family | 67.7% |
| road_trip_overnight | 67.6% |
| couple | 56.2% |
French vs. English (Paris + PACA only): language matters less than expected
A real but modest gap — French-language, FR-proxy queries surface Best Western somewhat more often in the international-clientele cities, consistent with the brand being better-known to the domestic search behavior the methodology identified. But the gap is far smaller than the corporate-vs-leisure revenue skew (15x) would predict: foreign tourists searching in English from a US IP still see Best Western about half the time in Paris/PACA — the brand isn’t invisible to that segment, just modestly less visible.
| Language / proxy | Mention rate | Hits / captures |
|---|---|---|
| French / FR proxy | 55.7% | 1,447 / 2,598 |
| English / US proxy | 50.1% | 1,371 / 2,735 |
Soft-brand recognition: the flagship name dominates
85% of the time an AI answer names a Best Western property, it uses a form close enough to the flagship “Best Western [Plus/Premier/Signature] …” naming to match exactly. Soft-brand properties (Sure Hotel, BW Premier/Signature Collection) are recognized far less reliably — even after fixing the resolver’s brand-token list, ~9% of hits still needed the fuzzy/alias/review-flagged paths rather than an exact match.
| Match tier | Share of hits |
|---|---|
| tier_1_exact (exact "Best Western ..." name match) | 85.2% |
| tier_fuzzy_same_city | 5.6% |
| tier_fuzzy_cross_city (city mismatch, needs review) | 5.2% |
| brand_token_only (soft-brand token, no registry match) | 3.1% |
| alias (hand-curated bare soft-brand name) | 0.8% |
Two cities where Best Western never showed up
Two cities with 20+ captures never surfaced a Best Western property at all: Honfleur (87 captures) and Lyon (60 captures, spot-checked — real competitors named instead: InterContinental Lyon–Hôtel Dieu, Carlton Lyon MGallery, Pullman Lyon, Cour des Loges Radisson Collection, several boutique Vieux-Lyon properties). Lyon has 8 Best Western-affiliated hotels in the reconciled directory — the AI’s mental model of “best hotel in Lyon” runs entirely through upscale/boutique/historic properties in Vieux Lyon and Presqu’île, a segment Best Western’s Lyon portfolio doesn’t compete in.
Top competitors named instead
When Best Western is absent, a mix of independent boutique properties, other franchise chains (IHG, Louvre Hotels/Golden Tulip, Accor MGallery/Sofitel), and — notably — full sibling-brand competitors in the exact same “3-4 star provincial hotel” positioning Best Western occupies (Logis, The Originals) take its place.
| Rank | Competitor | Mentions |
|---|---|---|
| 1 | Hôtel Le Nouveau Monde | 204 |
| 2 | InterContinental Marseille - Hotel Dieu by IHG | 185 |
| 3 | Golden Tulip Saint Malo– Le Grand Bé | 180 |
| 4 | Hotel Le Pigonnet | 170 |
| 5 | Hôtel Rotonde Aix-en-Provence centre | 169 |
| 6 | Château de Mazan - Handwritten Collection | 168 |
| 7 | Grand Hôtel Des Thermes | 168 |
| 8 | Logis Hôtel Synaya | 162 |
| 9 | Hôtel Le Siècle | 161 |
| 10 | Le Negresco Nice | 155 |
What this means
- The biggest AI-visibility gap is in multi-property, competitive cities — Paris, Nice, Marseille, Cannes, Lyon — not the small-town roadside market where the brand already dominates organically. Any AI-visibility investment should prioritize these specific markets rather than the network broadly.
- Budget-framed queries are the weakest spot (33.8%) despite Best Western having real budget-adjacent inventory — the brand is losing “cheap hotel” mindshare to dedicated budget chains even in towns where it’s the only full-service option.
- Soft-brand naming is a real visibility tax — Sure Hotel and BW Premier/Signature Collection properties get recognized as Best Western far less reliably than flagship-named ones. Best Western France’s own naming conventions may be actively working against AI discoverability for these properties.
- The French/English gap (55.7% vs 50.1%) is smaller than expected given the network’s business-travel skew — international leisure travelers searching in English aren’t being systematically excluded, just modestly underserved relative to the domestic market.
FAQ
Disclosure: this is an independent, third-party AI-visibility study. Nicolas Sitter has no affiliation with Best Western, its France operating company, or any hotel named in this piece.
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