Menuzen is one of the most powerful digital menu board platforms in the QSR (quick-service restaurant) industry. A single platform that lets brands like Subway, Mecca, Oakberry, and Nautical Bowls power, manage, and monetise every menu screen across their estate. POS-synced pricing, smart layouts, retail ad monetisation, and the kind of operational depth that has cut deployment time by 75% for some of their largest customers. Operationally world-class. Discoverability was the gap.
The Challenge
Menuzen was an established product with strong customer outcomes but limited inbound. Restaurants searching for software to digitise their menus weren’t finding them, because the queries that buyers actually use weren’t being captured.
- The site was averaging only around 300 monthly organic visitors, a fraction of what the addressable market searches for every month.
- AI assistants and search engines were not surfacing Menuzen for the buyer-intent queries that drive trial sign-ups.
- The site lacked the topic architecture and SaaS schema that AI systems use to categorise and recommend software solutions.
- Money keywords like “menu maker,” “menu templates,” “free menu maker,” and “online menu maker” were dominated by competitors and generic content sites, despite Menuzen being the more capable product.
- Content was written from the brand’s perspective, not from the searcher’s perspective.
Our Approach
The Loops AI Visibility Framework
We applied our four-pillar GEO methodology with explicit emphasis on commercial-intent keyword capture.
1. Discoverability
We deployed SoftwareApplication and Organization schema across the site, allowing AI crawlers to categorise Menuzen correctly as a SaaS product. Crawl efficiency, Core Web Vitals, and indexation hygiene were optimised to AI quality thresholds.
2. Comprehension and Topic Clusters Around Money Keywords
We restructured the entire site into topic clusters covering the core themes restaurant operators actually search: digital menu creation, QR ordering systems, menu board software, restaurant software automation, and real-time pricing systems. Each cluster was structured for AI semantic comprehension, with pillar pages, supporting content, and internal linking, so AI models could build contextual connections between Menuzen’s features and the broader restaurant-tech ecosystem.
3. Citation and Money-Keyword Position Engineering
The flagship win. We engineered the content, entity, and authority work that placed Menuzen on Page 1 organic positions for “menu maker,” “menu templates,” “free menu maker,” “online menu maker,” and “free menu templates”, the exact queries restaurants type when they’re ready to buy software. Combined search volume across these queries exceeds 16,000 monthly searches.
4. Conversion and Trial Sign-up Funnel
High-intent traffic doesn’t convert by accident. We optimised landing-page architecture, trial-funnel design, and conversion CTAs specifically for the AI-driven and money-keyword traffic the framework was sending. The result: a 125% increase in trial sign-ups.
In SaaS, the difference between “people know your product exists” and “people search for your product” is the difference between paid acquisition forever and a compounding organic engine. Restaurants searching “menu maker” are not browsers. They are buyers ready to set up their next location’s screens. Owning that query is owning the front of the funnel.
The Results
Money keywords now ranking on Page 1
300 to 3,200 monthly visitors over the engagement.