Somewhere between a menu refresh and a delivery-app integration, a 30-location restaurant group across the UAE had quietly picked up a bad case of NAP consistency rot: mismatched names, wrong addresses, and phone numbers Google could no longer verify, repeated branch after branch. Here, we talk about a Local SEO case study.
Nobody hired us to fix this. The original brief was content and on-page work: new landing pages, better category descriptions, and a technical audit. A few weeks in, though, it became clear that no amount of fresh content would move rankings while Google itself couldn’t confidently confirm where half these restaurants actually were. So we paused the editorial calendar for a month and did something far less glamorous: we went listing by listing, location by location, and cleaned up the data.
Key Takeaways
- Thirty restaurant locations, one shared data problem.
- Duplicate Google listings quietly split ranking signals.
- Arabic business name mismatches hurt local trust.
- Local rankings moved from data, not links.
- Makani’s address details matter in Dubai.
- Clean data beats months of new content.
- Multi-location SEO breaks first at the address.
Local search rewards businesses that Google can verify, not just businesses that publish good content; that distinction gets missed constantly. This piece covers what we found while auditing NAP consistency across 30 restaurant branches in Dubai, Abu Dhabi, and Sharjah: duplicate profiles, mismatched Arabic-language names, stale addresses left over from a defunct cloud-kitchen phase, and phone numbers that didn’t match across delivery platforms. None of it looked dramatic on its own. Together, it was quietly capping every location’s local search visibility. Once we fixed the data, rankings moved within weeks, no new backlinks required. If you manage more than a handful of locations, the pattern below is worth checking against your own listings.
Local SEO Case Study: A Challenge Behind 30 UAE Locations
The client ran a casual dining brand with outlets spread across three emirates, some in malls, some standalone, a few tucked into food courts that had changed names twice since opening. Over five years of expansion, whoever was handling marketing at the time usually created these listings: a franchise partner, an outside agency, or an ops manager filling out a Google form during a slow shift.
Growth had outpaced governance. Nobody owned the data end-to-end, and nobody had checked it in years. That’s a common story once a brand crosses ten locations, but at thirty, the cracks were impossible to ignore.
We’d been brought in to handle the visible work: content, keywords, page structure. Fixing the data underneath it consumed more of the engagement than anyone expected.
Initial SEO Audit: What We Actually Found
We started where most local SEO audits start: crawl the site, check indexation, and review the keyword map. Standard stuff, and mostly fine. Then we pulled the Google Business Profile list for all thirty branches side by side, and the spreadsheet told a very different story than the site did.
Some branches had two active profiles. A couple had three. Phone numbers didn’t match between the website, the Google listing, and the number printed on the delivery-app menu. Addresses ranged from precise to borderline fictional — one listing still pointed to a location that had closed eighteen months earlier. None of this shows up in a typical technical crawl, which is exactly why NAP consistency problems get overlooked until someone checks the listings directly.
This is usually the point where a Google Business Profile optimization checklist earns its keep, not as a one-time setup task, but as a recurring check against what’s actually live.
The Hidden NAP Consistency Problem We Found
Here’s what made this case different from a typical listing cleanup. Two issues kept surfacing that generic local SEO advice rarely covers.
First, Arabic-language business names. A Google Business Profile in the UAE typically carries both an English and an Arabic name field. Over the years, transliterations had drifted — one branch’s Arabic name used a different spelling convention than its sibling three kilometers away, and neither matched the physical signage. To someone skimming a spreadsheet in English, everything looked fine. To Google, matching NAP consistency across both languages is part of how it verifies a business is real.
Second, Makani numbers. Dubai Municipality assigns every building a unique ten-digit Makani code, a system it introduced in 2015 so anyone can pinpoint an exact address without relying on street names or landmarks. Several Dubai branches had never listed a Makani number at all, or were still showing one carried over from a previous unit in the same mall after a mid-lease move. It’s a small field. It’s also exactly the kind of detail that separates a listing Google trusts from one it treats with caution.
Neither of these shows up in most local SEO checklists, because most weren’t written with this market in mind.
If your locations span multiple cities or malls and nobody has audited this since launch, talk to our team before assuming your listings are clean.
Why This Data Problem Hurts Local Rankings
Google’s local ranking model leans heavily on three things: how close a searcher is to a business, how relevant the listing is to their query, and how much trust the listing has earned. NAP accuracy sits underneath all three, and it does its heaviest lifting on trust. When Google can’t reconcile a business’s name, address, and phone number across the platforms it crawls, confidence quietly erodes and visibility drops with it, especially in the map pack and “near me” results, right where a hungry customer standing outside a mall is searching.
Multiply that erosion across thirty separate listings, several with duplicates competing against each other, and the effect compounds. Some branches were essentially splitting their own ranking signal between two profiles nobody had merged.
Our Local SEO Strategy for Multi-Location Data
The fix wasn’t fast. We built a single source-of-truth spreadsheet: legal business name, English and Arabic listing names, verified address with Makani number where applicable, primary phone line, and category tags, and checked every branch against it, one row at a time.
From there:
- We claimed and merged duplicate Google Business Profiles, closing the ones tied to defunct cloud-kitchen listings from an earlier delivery-only phase.
- We standardized address formatting across the website, Google, Apple Maps, and every delivery aggregator the brand used, including Talabat.
- We corrected Arabic-language name fields to match real-world signage exactly, branch by branch.
- We rebuilt the site’s internal linking strategy so every location page linked to one canonical URL for that branch, instead of three competing versions left over from old redesigns.
- We set a quarterly review cadence, since business listing consistency tends to drift again within a year once nobody’s watching it.
Results Across 30 Restaurant Locations in UAE
Rankings started shifting within three to four weeks of the NAP consistency cleanup, well before any new content went live. Here’s the shape of the change:
| Metric | Before Cleanup | After Cleanup |
| Locations with consistent NAP across GBP, website, and delivery apps | 9 of 30 | 30 of 30 |
| Duplicate or orphaned Google Business Profiles | 14 | 0 |
| Average local map pack position for core location keywords | 7.8 | 3.1 |
| Branches appearing in “near me” search results | 18 of 30 | 29 of 30 |
| Branches with mismatched Arabic-language business name | 22 | 0 |
These numbers come from one engagement, not a broader industry study, though the underlying pattern- a data fix outperforming a content push- is one we’ve seen repeat at smaller scales elsewhere.
Lessons for Multi-Location Businesses Everywhere
A few things stuck with us after this project.
Nobody notices NAP consistency until a customer calls the wrong branch or a listing quietly stops showing up for someone standing three blocks away. It doesn’t announce itself the way a broken page or a missing meta tag does.
Ownership matters more than tooling. The client didn’t lack SEO tools. They lacked one person accountable for keeping listing data accurate as the brand grew. That gap is common in fast-expanding, multi-location brands, and it’s worth reading further into what local SEO for multiple locations actually requires operationally, not just technically.
Regional detail isn’t optional. Generic local SEO advice, built for markets without dual-language listings or municipal address codes, misses real problems in markets like the UAE. The same principle carries over industry to industry; the tactics in our local SEO strategies for service-based businesses differ by sector, but the underlying discipline of accurate, verifiable business data stays the same.
Conclusion
The most useful SEO work on this project happened inside a spreadsheet: thirty rows, checked one at a time against what was actually true on the ground, week after week. That’s rarely how NAP consistency gets discussed, but it’s usually where the real ranking gains are sitting, unclaimed, in businesses running more than a couple of locations.
If your brand operates across multiple cities, malls, or franchise partners, when was the last time someone actually checked this? Get in touch if you’d like a second pair of eyes on it.
What’s the most avoidable local SEO mistake you’ve seen a multi-location brand make? Drop it in the comments below always worth comparing notes.
Sources
- Google Business Profile Help, “Guidelines for Representing Your Business on Google”