By Katrin Krakovich, CEO & SEO Expert at Lahav Media
Running multiple restaurant locations should multiply your success, not your headaches. But here's what I see happening: restaurant groups nail their first location's local SEO, then completely butcher it when they expand. Location two gets buried on page three of Google. Location three? Invisible.
After helping dozens of multi-location restaurants fix their SEO disasters, I've learned that scaling restaurant SEO isn't just about copy-pasting what worked for your flagship spot. It's a completely different beast that requires surgical precision and a strategy most agencies get wrong.
Single-location restaurant SEO is like learning to ride a bike. Multi-location SEO? That's like riding five bikes while juggling flaming torches in different cities.
The biggest mistake I see restaurant owners make is treating each location like a separate business online. They create identical websites, duplicate content, and wonder why Google treats them like spam. Or they go the opposite route and create one generic website that mentions "multiple locations" without giving Google the specific local signals it craves.
Both approaches kill your local visibility faster than a health inspector finding a mouse in your kitchen.
Every single location needs its own dedicated landing page on your main website. Not a "locations" page with addresses listed. I'm talking about individual pages optimized for each location's specific market.
Here's what each location page needs:
Unique local content that mentions the neighborhood, nearby landmarks, and local community events. If your Midtown location sponsors the annual jazz festival, mention it. If your Downtown spot is two blocks from the courthouse, work that into your content.
Location-specific Google Business Profile integration with your exact address, phone number, and hours prominently displayed.
Menu variations and local specialties if they exist. Your beachside cafe might highlight frozen drinks while your business district location focuses on grab-and-go breakfast options.
Local photos and testimonials from customers at that specific location. Generic stock photos scream "chain restaurant" to both customers and search engines.
Managing multiple Google Business Profiles is where most restaurant groups lose their minds. You're juggling different addresses, phone numbers, hours, and review responses across locations that might be in different time zones.
The key is consistency with personality. Each location's profile should follow the same format and brand voice while highlighting what makes that specific spot unique. Your coffee shop in the university district might emphasize late-night study sessions, while your downtown location focuses on business meetings and quick service.
I've seen restaurant owners accidentally merge their profiles, list wrong hours for months, or respond to reviews meant for a different location. These mistakes don't just hurt one location they damage your entire brand's credibility.
Creating unique content for multiple locations without burning out your team requires a systematic approach. I call it the "hub and spoke" model.
Your main website becomes the hub with comprehensive information about your brand, story, and core menu items. Each location page becomes a spoke that connects back to the hub while providing location-specific value.
For blog content, write about topics that apply to all locations but customize examples for different markets. A post about "Best Coffee Pairings for Cold Weather" works nationwide, but mention specific seasonal drinks available at different locations.
Social media follows the same principle. One main account with location-specific posts and stories. Tag the specific location, use local hashtags, and engage with neighborhood businesses and customers.
If you're not using proper schema markup for multi-location businesses, you're basically invisible to search engines. Each location needs LocalBusiness schema with exact coordinates, contact information, and operating hours.
The most common error I fix is incorrect or missing schema that either duplicates information across locations or provides conflicting data. Google gets confused and stops showing your locations in local search results altogether.
Citation management becomes exponentially more complex with multiple locations. You need consistent NAP (Name, Address, Phone) information across hundreds of directory sites, and one wrong digit can tank a location's local rankings.
I recommend using citation management tools, but more importantly, assign one person to be responsible for each location's digital presence. When you have five different team members updating information randomly, mistakes multiply fast.
Building local links for multiple locations requires genuine community involvement, not mass email templates to every blog in your market.
Partner with local food bloggers for location-specific events. Sponsor neighborhood festivals and make sure they link to your specific location page, not just your homepage. Collaborate with other local businesses for cross-promotions that benefit both brands.
The bars and cafes that dominate local search are usually the ones most involved in their communities. Search engines reward businesses that real people actually talk about and link to naturally.
Google hates duplicate content, and multi-location restaurants are sitting ducks. If your menu descriptions, about pages, and location information are identical across sites, you're competing against yourself.
Here's how to create unique content without rewriting everything from scratch:
Localize your story. Every location has a unique opening story, local partnerships, or community connections. Use those details to differentiate each location page.
Customize service descriptions. Maybe all locations offer catering, but your suburban spot handles more family events while your downtown location focuses on corporate catering. Highlight these differences.
Local keyword integration. Your Mexican restaurant in Austin shouldn't use the same keywords as your location in Phoenix. Local search behavior varies significantly between markets.
Tracking SEO performance for multiple locations requires location-specific KPIs, not just overall traffic numbers. I track each location separately for:
Local search rankings for target keywords in each market Google Business Profile views and actions (calls, directions, website clicks) Location-specific organic traffic and conversion rates Review volume and average rating trends per location Local citation accuracy scores
The locations that consistently underperform usually have technical issues, citation problems, or weak local content. Once you identify the pattern, fixes become systematic rather than random.
Using identical phone numbers across locations confuses Google and customers. Each location needs its own local number, even if calls forward to a central system.
Forgetting about mobile optimization for location-specific searches. People searching for restaurants on mobile want immediate information: address, phone, hours, and menu. If your location pages don't load fast or display correctly on phones, you lose customers to competitors.
Neglecting review management at individual locations. A negative review spiral at one location can hurt your entire brand if not addressed quickly and professionally.
Creating separate websites for each location instead of location-specific pages on one domain. This fragments your SEO authority and makes management nearly impossible.
ChatGPT, Google Gemini, and other AI search tools are changing how people find restaurants. When someone asks "best Italian restaurant near me," these AI tools pull information from multiple sources to provide recommendations.
Multi-location restaurants have an advantage here because you have more data points and reviews across markets. But only if your SEO foundation is solid. AI tools rely heavily on structured data, consistent information, and authoritative content to make recommendations.
Make sure each location has complete, accurate information across all platforms. AI search tools cross-reference data from multiple sources, and inconsistencies hurt your chances of being recommended.