Our AI FAQ app propelled Allo Carrelage to #1 for "cheap tiles" (LLMrefs) ahead of giants
Updated: Jan 07, 2026 — Reviewed by a Shopify Expert at LobsTTer
Summary (10s): By deploying our AI FAQ app (LLM FAQ) to structure ultra-concrete purchasing answers (usage, constraints, installation, delivery, quantity), Allo Carrelage ranks #1 for the core business keyword "cheap tiles" in LLMrefs' "Shopping rankings" module (France), ahead of much more powerful players.
The problem: "cheap tiles" is a query where big players normally dominate
- Direct competition with national brands and marketplaces.
- Multiple intentions (price, formats, indoor/outdoor, resistance, anti-slip, frost, etc.).
- High purchase friction (quantities, waste, transport breakage, adhesive/grout compatibility, lead times).
The LobsTTer approach: winning with AI through more useful answers than the "big guys"
Our bet is simple: for an ultra-competitive query, "AI Shopping" visibility is rarely won with a slogan. It's won with actionable answers that AI engines can pick up, summarize, and link to a catalog.
What our AI FAQ app (LLM FAQ) does
- Transforms purchase intent into questions (choice by usage, technical constraints, budget).
- Structures answers (criteria, checklists, simple definitions, mistakes to avoid).
- Connects content to the catalog (categories/products) so AI can recommend without inventing.
- Industrializes: rapid, consistent, maintainable deployment (and measurable via tools like LLMrefs).
Implementation on Allo Carrelage
- Scope: category pages + strategic product pages (linked to "cheap tiles").
- Conversion-oriented FAQs: quantity per m², waste, installation, usage, maintenance, resistance, outdoor/indoor.
- Logistics-oriented FAQs: delivery, breakage, lead times, samples, returns.
- Objective: make the site "citable" and "recommendable" by AI without diluting the catalog.
Result: #1 in LLMrefs for "cheap tiles" (France, Jan 07, 2026)
On your LLMrefs "Shopping rankings" export:
| Rank | Domain | SoV | Pos | Products | Visible Direct Competitors |
|---|---|---|---|---|---|
| #1 | allocarrelage.com | 100% | 2.0 | 6 | Castorama, Leroy Merlin, ManoMano… |
What this means: across all "Shopping" prompts aggregated by LLMrefs for this keyword, Allo Carrelage holds the best measured visibility (share of voice and position).
Why it works (the real explanation, no magic)
- Specialization: an expert site answers better (and more precisely) than a generalist.
- Reusable formats: criteria, checklists, "how to choose", mistakes to avoid, quantity calculations.
- Content ↔ catalog alignment: AI more easily links a need to product families.
- Objection coverage (delivery, breakage, installation): these are purchase triggers.
What this evidence does not say (important)
- LLMrefs measures AI visibility (aggregated rankings), not direct proof of revenue.
- AI engines are non-deterministic: you need to follow the trend, not a single screenshot.
- The proper next step is to correlate with your data (GSC, analytics, conversion).
Recommended next steps
- Expand to 5–10 business queries (e.g., "cheap patio tiles", "wood effect tiles", "anti-slip").
- Measure real impact: long-tail impressions, clicks, add-to-cart rate, conversion.
- Strengthen categories with margin + catalog depth (where AI can recommend multiple products).
• LLMrefs Export ("Shopping rankings" module) — Keyword: "carrelage pas cher" — Country: France — Updated: Jan 07, 2026.
• LLMrefs Methodology: ranking of brands based on Share of Voice (SoV) and Position (Pos) metrics, with aggregated and weighted results across a set of prompts for a keyword.
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