{"product_id":"etude-de-cas-aeo-faq-ia-allo-carrelage","title":"Our AI FAQ app propelled Allo Carrelage to #1 for \"cheap tiles\" (LLMrefs) ahead of giants","description":"```html\n\n\u003cp\u003e\u003cstrong\u003eUpdated:\u003c\/strong\u003e Jan 07, 2026 — \u003cstrong\u003eReviewed by a Shopify Expert at LobsTTer\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\n\u003cstrong\u003eSummary (10s):\u003c\/strong\u003e By deploying our \u003cstrong\u003eAI FAQ app (LLM FAQ)\u003c\/strong\u003e to structure ultra-concrete purchasing answers (usage, constraints, installation, delivery, quantity), Allo Carrelage ranks \u003cstrong\u003e#1\u003c\/strong\u003e for the core business keyword \u003cstrong\u003e\"cheap tiles\"\u003c\/strong\u003e in LLMrefs' \"Shopping rankings\" module (France), ahead of much more powerful players.\n\u003c\/p\u003e\n  \u003c!-- split --\u003e\n\u003ch2\u003eThe problem: \"cheap tiles\" is a query where big players normally dominate\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eDirect competition with national brands and marketplaces.\u003c\/li\u003e\n  \u003cli\u003eMultiple intentions (price, formats, indoor\/outdoor, resistance, anti-slip, frost, etc.).\u003c\/li\u003e\n  \u003cli\u003eHigh purchase friction (quantities, waste, transport breakage, adhesive\/grout compatibility, lead times).\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eThe LobsTTer approach: winning with AI through more useful answers than the \"big guys\"\u003c\/h2\u003e\n\u003cp\u003e\nOur bet is simple: for an ultra-competitive query, \"AI Shopping\" visibility is rarely won with a slogan.\nIt's won with \u003cstrong\u003eactionable answers\u003c\/strong\u003e that AI engines can pick up, summarize, and link to a catalog.\n\u003c\/p\u003e\n\n\u003ch3\u003eWhat our AI FAQ app (LLM FAQ) does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTransforms purchase intent into questions\u003c\/strong\u003e (choice by usage, technical constraints, budget).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eStructures answers\u003c\/strong\u003e (criteria, checklists, simple definitions, mistakes to avoid).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eConnects content to the catalog\u003c\/strong\u003e (categories\/products) so AI can recommend without inventing.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eIndustrializes\u003c\/strong\u003e: rapid, consistent, maintainable deployment (and measurable via tools like LLMrefs).\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eImplementation on Allo Carrelage\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eScope:\u003c\/strong\u003e category pages + strategic product pages (linked to \"cheap tiles\").\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eConversion-oriented FAQs:\u003c\/strong\u003e quantity per m², waste, installation, usage, maintenance, resistance, outdoor\/indoor.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eLogistics-oriented FAQs:\u003c\/strong\u003e delivery, breakage, lead times, samples, returns.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eObjective:\u003c\/strong\u003e make the site \"citable\" and \"recommendable\" by AI without diluting the catalog.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eResult: #1 in LLMrefs for \"cheap tiles\" (France, Jan 07, 2026)\u003c\/h2\u003e\n\u003cp\u003e\nOn your LLMrefs \"Shopping rankings\" export:\n\u003c\/p\u003e\n\n\u003ctable\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth\u003eRank\u003c\/th\u003e\n      \u003cth\u003eDomain\u003c\/th\u003e\n      \u003cth\u003eSoV\u003c\/th\u003e\n      \u003cth\u003ePos\u003c\/th\u003e\n      \u003cth\u003eProducts\u003c\/th\u003e\n      \u003cth\u003eVisible Direct Competitors\u003c\/th\u003e\n    \u003c\/tr\u003e\n  \u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e#1\u003c\/td\u003e\n      \u003ctd\u003eallocarrelage.com\u003c\/td\u003e\n      \u003ctd\u003e100%\u003c\/td\u003e\n      \u003ctd\u003e2.0\u003c\/td\u003e\n      \u003ctd\u003e6\u003c\/td\u003e\n      \u003ctd\u003eCastorama, Leroy Merlin, ManoMano…\u003c\/td\u003e\n    \u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\n\u003cstrong\u003eWhat this means\u003c\/strong\u003e: across all \"Shopping\" prompts aggregated by LLMrefs for this keyword,\nAllo Carrelage holds the best measured visibility (share of voice and position).\n\u003c\/p\u003e\n\n\u003ch2\u003eWhy it works (the real explanation, no magic)\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSpecialization\u003c\/strong\u003e: an expert site answers better (and more precisely) than a generalist.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReusable formats\u003c\/strong\u003e: criteria, checklists, \"how to choose\", mistakes to avoid, quantity calculations.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eContent ↔ catalog alignment\u003c\/strong\u003e: AI more easily links a need to product families.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eObjection coverage\u003c\/strong\u003e (delivery, breakage, installation): these are purchase triggers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat this evidence does not say (important)\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eLLMrefs measures \u003cstrong\u003eAI visibility\u003c\/strong\u003e (aggregated rankings), not direct proof of revenue.\u003c\/li\u003e\n  \u003cli\u003eAI engines are \u003cstrong\u003enon-deterministic\u003c\/strong\u003e: you need to follow the trend, not a single screenshot.\u003c\/li\u003e\n  \u003cli\u003eThe proper next step is to correlate with your data (GSC, analytics, conversion).\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eRecommended next steps\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eExpand to 5–10 business queries (e.g., \"cheap patio tiles\", \"wood effect tiles\", \"anti-slip\").\u003c\/li\u003e\n  \u003cli\u003eMeasure real impact: long-tail impressions, clicks, add-to-cart rate, conversion.\u003c\/li\u003e\n  \u003cli\u003eStrengthen categories with margin + catalog depth (where AI can recommend multiple products).\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cdiv class=\"encadre-info\"\u003e\n  \u003cstrong\u003eVerifiable Evidence\u003c\/strong\u003e\u003cbr\u003e\n  • LLMrefs Export (\"Shopping rankings\" module) — Keyword: \"carrelage pas cher\" — Country: France — Updated: Jan 07, 2026.\u003cbr\u003e\n  • LLMrefs Methodology: ranking of brands based on \u003cem\u003eShare of Voice (SoV)\u003c\/em\u003e and \u003cem\u003ePosition (Pos)\u003c\/em\u003e metrics, with aggregated and weighted results across a set of prompts for a keyword.\n\u003c\/div\u003e\n\u003cbr\u003e\u003cbr\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cdiv class=\"encadre-info\"\u003e\u003ca href=\"https:\/\/lobstter.com\/pages\/agenda-avec-un-expert-de-notre-agence\" title=\"Book an appointment to deploy our AI FAQ app and gain AI Shopping visibility\"\u003e Book an appointment \u003c\/a\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cbr\u003e\n```","brand":"Shopify","offers":[{"title":"Installation + 1000 credits (e.g. 333 products with 3 FAQs each)","offer_id":42358223994974,"sku":null,"price":550.0,"currency_code":"EUR","in_stock":true},{"title":"Installation + 5000 credits (e.g. 2550 products with 2 FAQs each)","offer_id":42358224027742,"sku":null,"price":800.0,"currency_code":"EUR","in_stock":true},{"title":"500 credits (e.g. 250 products with 2 FAQs each)","offer_id":42358224060510,"sku":null,"price":40.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0572\/0953\/files\/agence-shopify-lobstter-notre-app-faq-ia-propulse-allo-carrelage-1-sur-carrelage-pas-cher-llmrefs-devant-des-geants-268942.png?v=1774721887","url":"https:\/\/lobstter.com\/en\/products\/etude-de-cas-aeo-faq-ia-allo-carrelage","provider":"Agence lobsTTer","version":"1.0","type":"link"}