Parsibility
Building AI and Google crawlability from the ground up on a zero-authority domain.
Implemented Restaurant and LocalBusiness schema markup with full NAP data, cuisine type, price range, opening hours, and geo-coordinates
Structured all service and menu pages as discrete, AI-extractable content blocks answering specific dining queries
Resolved all technical SEO foundations — site speed, crawlability, mobile performance — to ensure Google and AI crawlers could fully index the new site
Implemented llms.txt and AI-readable content architecture to signal entity identity to LLM crawlers from launch
Presence
Building the local authority and citation web needed to compete against established restaurants.
Full Google Business Profile build and optimisation — categories, attributes, photos, Q&A, and regular posting cadence
Local citation audit and creation across all major directories — Google, Apple Maps, Yelp, TripAdvisor, Foursquare, and local food guides
Consistent NAP (Name, Address, Phone) data across all citation sources to build AI trust signals
Earned early local press and food blog mentions to begin building third-party authority references
Strategic backlink campaign targeting local food media and dining guides relevant to the restaurant’s cuisine and neighbourhood
Packaging
Structuring content so AI can match Cucina Luca to the right dining query and recommend it with confidence.
Built content strategy targeting local intent queries: cuisine type + location, “best [dish] near [area]”, occasion-based dining queries
Optimised menu and experience pages to directly answer the questions AI receives about local dining — dietary options, atmosphere, price range, occasion suitability
Created dedicated content targeting high-intent local searches relevant to Cucina Luca’s specific cuisine and location context
Mapped content to distinct diner intents: date night, family dining, business lunch, takeaway — giving AI specific contexts in which to recommend the restaurant