All case studies
All case studies
Arros QD had the credentials — seven Michelin stars, an open flame stove, genuine provenance. But when someone asked Perplexity for the best paella in London, the restaurant's own site wasn't cited. This is a hospitality GEO case study in what happens when AI search visibility is treated as a structural, fixable problem — not a brand-awareness one. Chad ran the GEO audit, rebuilt the site, and shifted citation behaviour and real traffic — without an agency or a briefing process.
AI engines don't just know things — they cite sources. Before the rebuild, when someone asked ChatGPT or Perplexity about Arros QD, they heard from TripAdvisor, TimeOut, and OpenTable. Not from arrosqd.com itself.
Chad ran a full AI visibility audit on arrosqd.com — technical crawlability, structured data, content extractability, E-E-A-T signals. Each gap assessed and prioritised by impact.
Brand Authority — Wikipedia presence, Wikidata entries, external editorial links — is excluded. That's a long-term play no agency can shortcut. These are the five signals ZeroLayer can directly move, re-weighted to reflect that.
Brand Authority excluded. Wikipedia presence, Wikidata entries, and editorial backlinks score 20/100 and are unchanged — these are long-term reputation signals no rebuild can move in 48 hours. Weights are re-distributed across the five controllable categories to give an honest picture of what structured, deliberate work actually achieved.
No agency. No lengthy briefing process. Chad designed, built, and deployed a completely new website for Arros QD — built specifically to perform for both human visitors and AI search engines.
Technical visibility, structured data gaps, content extractability, E-E-A-T signals — each finding ranked by impact on AI citation behaviour.
Structure led by what AI search engines need to extract and cite: explicit credentials, plain-language provenance, clear semantic hierarchy. Design built to serve human visitors without sacrificing machine-readability.
Structured data implemented across key pages in the exact format AI engines parse. Chef credentials, cuisine type, location, certifications — all given machine-readable homes alongside the human-facing content.
The robots.txt rewritten to explicitly let in the three major AI engines. A fix that takes minutes but that the majority of restaurants — including established ones — haven't made.
New site live. Arros QD can now push changes directly from Slack — no agency hand-off required when subsequent audits find new GEO opportunities to capture.
Blocking AI engines from reading your site is one of the most common — and most costly — oversights in GEO. A restaurant with world-class credentials, invisible to the engines that now shape dining decisions.
Google Analytics for arrosqd.com shows daily new users running in a steady 100–200 baseline through May and early June. In the days immediately following the June 25 launch, that baseline spiked toward 400 a day — a direct read on what technical GEO fixes do to real hospitality traffic, not just AI citation behaviour.
Established players have years of domain authority and ad budgets that are hard to compete with in traditional search. AI search visibility runs on structured content, citability, demonstrable expertise — GEO fundamentals, not ad spend. In hospitality especially, a boutique operator with genuine credentials can close the gap faster here than anywhere else in digital marketing.