A restaurant group that locals couldn't find on Google — now the first result they see

The situation

Three locations, a loyal base of regulars, and almost no presence in local search. Diners searching “restaurant [city]” or “dinner near me” were landing on competitors — some of whom had weaker food but better search positioning.

The challenge

Restaurant discovery has moved almost entirely online. A group that doesn’t appear in the first few results of a local search isn’t being considered — full stop.

With multiple locations, the problem compounds: each location needed its own local search presence, and none of them had one. Every week of invisibility is a week of potential first-time visitors going somewhere else and becoming someone else’s regulars.

“We had the food. We didn’t have the visibility. Those aren’t the same thing.”

What we built

We rebuilt the site on Webflow with each location structured for local search — separate location pages, keyword targeting by neighbourhood, structured data for restaurant schema. Local SEO was built into the architecture, not added as an afterthought.

We also optimised for AI assistants — when someone asks ChatGPT or Perplexity for restaurant recommendations in the area, the group now appears in those answers.

The result

Each location now ranks for its relevant local queries. Reservation inquiries come in through the site. The group appears in AI-generated recommendations when locals search for dining options nearby.