ChatGPT cites Eat App on all 20 buyer queries.
Gemini misses 7 of them.
20-query audit across ChatGPT, Gemini & Claude. Eat App is cited on 52 of 60 responses (86.7%) — the strongest combined result in this audit batch — with 22 #1 rankings and unanimous citations on 13 of 20 queries. But two cracks run through the dominance: Gemini drops Eat App on a third of buyer questions, and SevenRooms still out-cites Eat App overall (55 vs 52) by owning the hotel-enterprise conversation.
This report was generated using Xtrusio, an AI visibility and demand intelligence platform that analyzes how companies appear across modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, and other generative engines.
The insights in this page are generated using Xtrusio’s proprietary research and content intelligence framework.
Eat App owns the categories it built: WhatsApp booking, the GCC market, the Navi AI assistant, device flexibility, and guest tagging — #1 or near-#1 on every platform.
But the dominance has two structural cracks. First,
Gemini drops Eat App on 7 of 20 queries, including every hotel-enterprise question, where it
frames the category as a SevenRooms–TableCheck duopoly. Gemini does not even know Navi by name —
while ChatGPT and Claude both named it unprompted. Second, when buyers ask deep hotel-CRM and PMS/POS
questions, every platform hands the question to SevenRooms; Eat App is positioned as the “practical
regional choice,” never the enterprise leader. And a new GCC rival — Servme — just won
Claude’s Dubai–Riyadh group question outright, on Eat App’s home turf.
Platform Scorecard
Eat App citation rate across AI platforms
AI Visibility Leaderboard
Who owns the AI conversation — total citations across all platforms
AI Positioning Audit
20 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision-maker researching reservation, table management, and guest CRM platforms for their venue. These personas represent the buyers whose AI search results determine whether Eat App gets discovered — a luxury hotel F&B director, a restaurant group founder, and the manager of one of Dubai’s most in-demand independent restaurants.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Hotel Multi-Outlet Systems | Booking | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“I’m the F&B director at a luxury hotel with five dining outlets. What reservation and table management systems work best for hotel restaurants?” |
|||||
| 2 | Multi-Outlet Single System | Group | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Which restaurant reservation platforms let hotel restaurant teams manage bookings for multiple outlets from a single system?” |
|||||
| 3 | Guest Preferences Across Outlets | CRM | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“What’s the best guest management software for hotels that want to track diner preferences and visit history across their restaurants?” |
|||||
| 4 | WhatsApp Booking | AI Suite | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Our hotel restaurants get a lot of booking requests over WhatsApp. Is there a reservation system that lets guests book directly through WhatsApp?” |
|||||
| 5 | PMS / POS Integrations | Booking | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“What restaurant reservation systems integrate well with hotel PMS and POS systems?” |
|||||
| 6 | Cross-Outlet Reporting | Reports | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“We need a reservation platform with strong reporting so I can compare covers and revenue across our hotel’s restaurants. What should I look at?” |
|||||
| 7 | Dubai & Middle East Market | Booking | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Which reservation systems are most popular with restaurants and hotels in Dubai and the Middle East?” |
|||||
| 8 | Multi-Location Group (Dubai–Riyadh) | Group | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“I run a restaurant group with venues in Dubai and Riyadh. What reservation software is best for multi-location restaurant groups?” |
|||||
| 9 | Shared Guest Database | CRM | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“What restaurant CRM platforms let a restaurant group share one guest database across all its venues?” |
|||||
| 10 | AI Staff Assistant | AI Suite | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Are there restaurant reservation systems with AI assistants that staff can ask questions like ‘how are covers tracking tonight’?” |
|||||
| 11 | Commission-Free Bookings | Booking | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“What’s the best commission-free restaurant reservation system? We’re tired of paying cover fees on every booking.” |
|||||
| 12 | Email / SMS / WhatsApp Marketing | CRM | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Which restaurant platforms can send automated marketing campaigns over email, SMS, and WhatsApp to our guest list?” |
|||||
| 13 | No-Show Deposits & Prepaid | Payments | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“What reservation systems help restaurants reduce no-shows with deposits and prepaid bookings?” |
|||||
| 14 | Instagram & Google Booking | Booking | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“We want guests to be able to book a table on Instagram and Google without commissions. Which reservation platforms support that?” |
|||||
| 15 | OpenTable Alternative | Booking | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“I manage an upscale independent restaurant. What’s a good alternative to OpenTable that doesn’t charge per-cover fees?” |
|||||
| 16 | Affordable Fine-Dining Software | Tables | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“What’s the best affordable reservation and table management software for a single fine-dining restaurant?” |
|||||
| 17 | Android & Web Devices | Tables | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Which reservation systems work on Android tablets and web browsers, not just iPads?” |
|||||
| 18 | Guest Tags (VIP / Birthday / Allergy) | CRM | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“What restaurant software helps a small team build a guest database with tags for VIPs, birthdays, and allergies?” |
|||||
| 19 | Late-Night Support | Booking | ✓ | ✓ | ✓ |
|
Exact question asked across all AI platforms:
“Which reservation platform has the best customer support for restaurants — someone who responds even late at night during service?” |
|||||
| 20 | Diner Discovery Network | Booking | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“Which restaurant reservation platforms have the largest diner network to help my restaurant get discovered by new customers?” |
|||||
| TOTAL | 19/20 (95%) | 20/20 (100%) | 13/20 (65%) | ||
The Gemini Gap
Where Eat App loses 35 percentage points vs ChatGPT
The same 20 questions produced a 100% citation rate on ChatGPT and 65% on Gemini. The 7 missed queries are not random — they cluster around the hotel-enterprise buyer. On every hotel question Gemini missed, it framed the category as a SevenRooms–TableCheck duopoly, with OpenTable as the third name. The F&B director persona — Eat App’s highest-value buyer — gets an answer on Gemini in which Eat App often does not exist.
“I’m the F&B director at a luxury hotel with five dining outlets. What reservation and table management systems work best for hotel restaurants?”
“We need a reservation platform with strong reporting so I can compare covers and revenue across our hotel’s restaurants. What should I look at?”
“I manage an upscale independent restaurant. What’s a good alternative to OpenTable that doesn’t charge per-cover fees?”
Eat App’s content exists. ChatGPT knows it — both of its verified sessions even quoted eatapp.co comparison articles as sources. But Gemini doesn’t. A hotel F&B director researching on Gemini sees a SevenRooms–TableCheck market; the same director on ChatGPT sees Eat App recommended on every single question. One in three AI-assisted buyers is currently invisible territory, and it is concentrated in the highest-value segment: hotels.
AI Topic Authority Map
Query heatmap — product line × platform
| Topic | AI Leader | Eat App Status |
|---|---|---|
| WhatsApp Booking & AI Concierge | Eat App | UNANIMOUS (3/3) |
| Dubai & Middle East Market | Eat App | UNANIMOUS (3/3) |
| AI Staff Assistant (Navi) | Eat App | UNANIMOUS (3/3) — Gemini can’t name Navi |
| Device Flexibility (Android / Web) | Eat App | UNANIMOUS (3/3) |
| Guest Tagging & Small-Team CRM | Eat App | UNANIMOUS (3/3) |
| Commission-Free Direct Booking | Eat App / ResDiary | UNANIMOUS (3/3) |
| Hotel Enterprise CRM (PMS / POS) | SevenRooms | 2 of 3 platforms (Gemini misses) |
| No-Show Deposits & Prepaid | Tock | 2 of 3 platforms |
| OpenTable Alternatives | Resy / SevenRooms | 2 of 3 platforms |
| Diner Discovery Network | OpenTable | ChatGPT only (1/3) |
8 queries
4 queries
2 queries
2 queries
2 queries
1 query
1 query
▹ Reports & Analytics and Payments & No-Show Prevention are the only product lines with zero Gemini visibility — and Reservations & Booking Channels, the largest revenue line, drops to 50% there.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework.
Recommendations
Prioritized actions to close the Gemini gap and defend the hotel-enterprise lane
- Publish Navi-branded content targeting “restaurant AI assistant” queries — Gemini knows Eat App has AI but cannot name the product, and currently ranks HuemanAI ahead
- Build dedicated PMS/POS integration pages (Oracle OPERA, MICROS Simphony, MEWS, Lightspeed) — the four hotel-enterprise queries Gemini missed all hinge on integration authority
- Add structured data and schema markup to deposit/prepaid and reporting feature pages — both product lines sit at 0% Gemini visibility
- Double down on comparison-page SEO — ChatGPT and Claude both quoted eatapp.co comparison articles as sources in their answers; this strategy is demonstrably feeding AI responses and should expand to TableCheck and Servme pages
- Publish hotel-group case studies with named PMS/POS stacks and cross-outlet reporting outcomes — SevenRooms owns this framing on every platform because its hotel content is deeper
- Press the DoorDash angle — both ChatGPT and Claude now raise “who owns your guest data” caveats against SevenRooms post-acquisition, often citing Eat App’s own content; this narrative is winning and deserves dedicated pages
- Build the “largest diner network in the Middle East” narrative — Q20 (discovery) is the only true blackout, owned by OpenTable on all three platforms; a regional-network claim is defensible but isn’t landing organically
- Quarterly Xtrusio re‑audits to track Gemini gap closure and Servme’s encroachment on GCC queries
One in three AI buyers can’t see Eat App.
The Gemini gap is closeable — and the playbook is already working on ChatGPT.
This research report was generated using the Xtrusio Company Intelligence Module.
