--- title: "Arros QD Case Study — Chad AI" description: "How Chad tripled Arros QD's website traffic before paid media ramped. Sessions up 204%, organic search up 1,404% in a clean 9-day window." canonical: https://trychad.ai/case-studies/arros-qd/ --- Michelin-starred restaurant · June 26 – July 31, 2026 · real client data · Generated by TryChad.ai # How Chad tripled Arros QD's traffic in nine days — before paid media started. Within nine days of launching Chad's rebuilt site (June 26, 2026), sessions increased from **905 to 2,751 (+204%)**, new users rose from **548 to 1,852 (+238%)**, and Organic Search grew from **88 to 1,324 sessions (+1,404%)** — while Chad also uncovered and fixed a hidden gap in the restaurant's booking-intent tracking. ### What Chad did Three phases from assessment through post-launch optimization. Phase 1 — Pre-launch (June 1–25, 2026) - GEO audit of existing arrosqd.com (scored 47/100 for AI citability) - Website rebuild with commercial page focus (homepage, menu pages, experiences) - Content optimization for both traditional search and AI systems - Technical SEO foundation (schema, metadata, mobile performance) Phase 2 — Launch (June 26, 2026) - New site deployed to arrosqd.com - GA4 tracking implementation for session and channel monitoring - Initial SevenRooms booking widget integration Phase 3 — Post-launch (June 27 – July 31, 2026) - Traffic monitoring and channel attribution analysis - Discovered iframe tracking gap preventing booking-intent visibility - Implemented enhanced GA4 events: `booking_modal_opened`, `sevenrooms_link_clicked` with type distinction - Added UTM parameters to all SevenRooms URLs for source attribution Concrete deliverable The tracking gap discovery was not a peripheral finding — it meant the client had no visibility into booking intent from their largest traffic source. Chad closed that gap using the existing GA4 setup, confirmed working in Realtime, and documented the implementation for handoff. ### The clean nine-day window June 17–25, 2026 (pre-launch) vs. June 27–July 5, 2026 (post-launch, before paid media started) — the strongest evidence the uplift happened independently of paid spend. Sessions +204% 905 → 2,751 New users +238% 548 → 1,852 Organic Search sessions +1,404% 88 → 1,324 Paid Social 0 hadn't started yet Why this matters During this window, Paid Social hadn't started and Paid Search traffic was actually lower than pre-launch. The uplift is attributable to the rebuilt site itself, not media spend. ### First full month July 2026, the first complete calendar month on the new site. July sessions 10,771 vs 4,352 in June vs June 2026 +147.5% vs July 2025 +205.6% Additional sessions +6,419 vs June Cleaned result One referral source generated 480 sessions in a single day. Excluding it: adjusted July sessions **10,291**, still **+136.5%** vs June and **+192.0%** vs July 2025 — the result holds after removing the anomaly. ### Where the growth came from — July 2026 Sessions by channel, July 2026. **July 2026 Organic Search +377.7% Direct +21.3% Referral +657.4% Paid Social new Paid Search +87.6% Organic Social +244.4% AI Assistant +178.9% Organic Search alone accounted for **54% of July's additional traffic**. ### Organic traffic also improved in quality google / organic, same matched pre/post-launch windows (June 17–25 vs June 27–July 5, 2026) — not just more visits, deeper engagement. | Metric | Pre-launch | Post-launch | | --- | --- | --- | | Sessions | 85 | 1,263 | | Engagement rate | 52.9% | 64.5% | | Avg. engagement time | 24.0s | 39.8s | ### Growth landed on commercially important pages Launch through July 31, 2026. | Page | Sessions | | --- | --- | | Homepage | 7,602 | | /menus | 976 | | /menus/main-menu | 918 | | /experiences | 90 | | /spaces | 64 | | /menus/lunch-menu | 46 | 79.3% concentration Homepage + all menu pages: **9,676 sessions — 79.3% of all traffic**. The main-menu page alone hit 918 sessions, 823 new users, 80% engagement rate, and 42.4s average engagement time — post-launch traffic concentrated on the commercial pages Chad rebuilt, not the rest of the site. ### AI visibility GA4-identified AI-assistant sessions during the analysis period (June 26 – July 31, 2026). AI-assistant sessions 68 New users 49 Engagement rate 70.6% Avg. engagement time 45s | Assistant | Sessions | Share | | --- | --- | --- | | ChatGPT | 54 | 79.4% | | Perplexity | 8 | — | | Gemini | 4 | — | | Claude | 2 | — | Most identifiable AI traffic landed on the homepage — strong early brand-level AI visibility, with room to grow distribution to specialist landing pages. ### Reservation-intent finding The initial report flagged 82 SevenRooms outbound click events. A deeper audit showed exactly what they represented. | Event | Count | | --- | --- | | "Open booking in a new tab" (booking modal) | 43 | | Direct Paella Masterclass booking clicks | 31 | | Other SevenRooms clicks | 8 | Important caveat These were real clicks, but not total booking interactions and not confirmed reservations. The embedded SevenRooms widget meant GA4 couldn't see users who completed the booking journey entirely inside the iframe — so 82 should be read as a **minimum observed reservation-intent signal**, not total booking intent. The original report already flagged that completed reservations weren't tracked. ### Tracking improvement Chad implemented Following the audit, Chad closed the gap using the existing GA4 setup — no new platform, no migration. | New event | Fires when | | --- | --- | | booking_modal_opened | User opens the main SevenRooms booking modal | | sevenrooms_link_clicked (type: reservation) | Reservation link is clicked | | sevenrooms_link_clicked (type: experience) | Masterclass booking link is clicked | Tested live UTM parameters were added to all SevenRooms URLs. Future reporting can now accurately distinguish booking-widget opens, reservation clicks, experience-booking clicks, source page, and traffic source — confirmed working in GA4 Realtime. "Chad lets us move much faster than we could with previous agencies. We've cut out the middlemen, so we now have direct access to our online visibility and can execute high-value improvements more quickly and accurately." — David, Head of Operations, Arros QD Chad rebuilt ArrosQD's website and tripled traffic in nine days — before any paid media started. That growth came from organic search (88 → 1,324 sessions, +1,404%), concentrated on commercial pages (79.3% of traffic), and produced measurably higher engagement quality (engagement rate +11.6 points, time +15.8s). Chad also surfaced AI traffic the client didn't know existed (68 sessions at 70.6% engagement), and discovered a tracking blind spot that prevented the restaurant from seeing booking intent from their largest traffic source — then fixed it. chad in action · real customer conversations ## See how Chad works. From Slack. These are real conversations from the Arros QD engagement — website changes, competitive intelligence, and full page creation, all from chat. Customer requests a button change — built, previewed, and deployed in under a minute. **Arros QD** # general # chad-arros # website # marketing # seo-reports **# chad-arros****Chad is working ** ## How does your site look to Chad? Drop your domain. In 11 seconds you get your GEO score, your biggest gap, and the first thing Chad would fix.