Obenan

Your next guest just searched. Did they find you?

Before choosing where to eat, guests search Google, check maps, and ask AI. What they find is what they trust. If your hours are wrong, your menu is stale, or you are missing from the answer, they may go somewhere else.

100+directories kept in sync
Menusand hours, updated from one place
Reviewsreplies under your rules
One sourceof truth for all locations
Industry Reality

What we find across restaurant networks

Multi-location restaurant groups share the same problem. The menu says one thing. Google says another. AI assistants repeat whatever they find, and often nobody is checking.

Closed kitchen
Closed kitchen

Stale Hours

Listed hours that do not match actual service times, sending guests to a closed kitchen

Missing dishes
Missing dishes

Outdated Menus

Online menus that no longer reflect what the kitchen is actually serving

Less attention
Less attention

Missing Photos

Locations without recent photos, losing attention to competitors who have them

No reply
No reply

Unanswered Reviews

Guest feedback sitting in public with no acknowledgment from the restaurant

Wrong number
Wrong number

Inconsistent Details

Name, address, or phone number mismatches across different directories

The Same Pattern Keeps Coming Up

Listings get created by directories, edited by users, duplicated by algorithms, and rarely managed centrally. AI assistants read this data as it is. The more locations you run, the more places details can drift.

Illustrative review examples

Reviews like these often go unanswered.

An unanswered review can tell the next guest that nobody is listening.

“Google said open until 10. We arrived at 9, kitchen was already closed.”

Amsterdam
Example: no response shown

“Two pins on Google Maps for the same restaurant. Different ratings on each.”

Istanbul
Example: no response shown

“Opening hours are different on Google, their website, and TripAdvisor.”

Munich
Example: no response shown

“Showed up for lunch, sign on the door said closed on Tuesdays. Google said open.”

Dublin
Example: no response shown

“Website says one address, Google says another. Ended up lost.”

Copenhagen
Example: no response shown

“Menu on Google showed the brunch options. None of them were available.”

Berlin
Example: no response shown

“Drove 20 minutes, it was permanently closed. Still shows as open.”

Lisbon
Example: no response shown

“Posted a review three months ago. Still no reply. Not going back.”

Brussels
Example: no response shown

“Food was great but the menu prices online were all wrong.”

Milan
Example: no response shown

“Asked about the prix fixe menu I saw online. They stopped doing it a year ago.”

Paris
Example: no response shown

“Called the listed number, got a completely different business.”

Madrid
Example: no response shown

“Allergen info online was wrong. Dangerous for anyone with food allergies.”

Rotterdam
Example: no response shown

“The address navigated me to the wrong side of the street.”

Vienna
Example: no response shown

“No photos at all on their listing. Almost did not go.”

Zurich
Example: no response shown

“The terrace shown in photos does not exist anymore.”

Athens
Example: no response shown

“Photos are from years ago. The place looks nothing like this anymore.”

London
Example: no response shown

“Reservation phone number goes to voicemail. We walked in instead.”

Barcelona
Example: no response shown

“Their Google listing still shows the old owner's name.”

Porto
Example: no response shown

“They have two Google profiles. Reviews are split. Confusing.”

Stockholm
Example: no response shown

“Left a detailed review about a bad experience. Nothing. Not even a sorry.”

Ankara
Example: no response shown
Visibility Gaps

Five listing problems to check across your restaurants

These are not rare edge cases. They come up again and again when we audit multi-location restaurant groups.

AI-to-AI

Your AI talks to our AI

Manage every restaurant location from ChatGPT, Claude, or any AI chat your team already uses. No new interface. No learning curve.

Your AI Talks to Our AI

ChatGPT
Obenan connected
Ask anything...
Obenan AI

Simulated conversation. Actual responses depend on your connected location data.

How We Get You There

From audit to accurate listings, step by step

A phased rollout, starting with the problems guests notice first.

1

Audit & Baseline

Phase 1

  • Full location audit across all directories
  • Hours, menu, and photo accuracy check
  • Duplicate and stale listing identification
  • Review corpus analysis
2

Correct & Claim

Phase 2

  • Hours and menu corrections pushed everywhere
  • Ownership claims for unclaimed listings
  • Duplicate suppression requests
  • Photo and category updates
3

Sync & Engage

Phase 3

  • 100+ directory and platform synchronization active
  • Automated review response workflows
  • Real-time accuracy monitoring
  • Anomaly detection and auto-correction
4

Maintain & Grow

Ongoing

  • Continuous accuracy governance
  • Seasonal and holiday hour updates
  • Monthly visibility and reputation reports
  • New locations added to the same setup

Questions Before You Connect

Findable in search. Present in AI. Accurate at the door.

We will audit your restaurant locations across every major search, map, and AI discovery channel and deliver a full accuracy report. No commitment required.

100+Directories synced
One updateSent to your connected listings
ReviewsReplies under your rules
One truthAcross all locations