Restaurants

What we built for a national restaurant group

Location-level entity SEO and AI citation work across 40+ locations, with review intelligence feeding content.

The results
+28%organic sessions, quarter over quarter
40+locations running on one system
+11ptShare of AI answers naming the brand, first 90 days

Case metrics are illustrative placeholders pending client approval to publish named results.

The situation
Reviews held the insight the marketing needed, and nobody was reading them at scale.

A national restaurant group with 40+ locations had a visibility problem it couldn't see. Every location competed on its own, and local listings drifted out of sync market by market.

AI engines answering "best spot near me" rarely mentioned the brand at all.

The system deployed
01

Location-level entity architecture, one template, 40+ deployments

One template, 40+ location builds, each carrying its own entity data so local SEO treats every restaurant as a distinct place.

02

AI citation tracking and citation building per market

Citation tracking per market, plus the entity and citation work that moves it, run through our AI search practice.

03

Review intelligence pipeline feeding the content calendar

An automation pipeline reads every review, pulls out what guests actually ask about, and turns those questions into the content calendar.

04

One dashboard across every location in the portal

Every location reports into one dashboard on our data platform, so a regional manager and the CMO read the same numbers the same day.

What happened next

Two quarters on, their team runs it.

Over the following two quarters, the system kept compounding without another build. The citation gain held through the next measurement cycle, and the markets that started below the group average closed most of the gap to it.

The group's own marketing team runs the review pipeline now. They pull the guest questions, we review the output once a month, and the location template gets reused whenever a new restaurant opens. The engagement now works on menu and offer pages built from the questions the reviews surface, and a market-by-market read on which locations deserve local ad spend.

Next step

Find out what AI engines say about your locations.

A systems audit checks how every location shows up in search and in AI answers, then ranks the gaps by revenue. One call, a week of analysis, and the findings are yours either way.

Book a systems audit