Frequently Asked Questions

Gonow Luma is an AI-ready shopping-centre indexing and concierge platform that makes physical retail visible, searchable, and recommendable inside AI-powered search engines and assistants. It structures product and store data with Schema.org JSON-LD, exposes it via MCP servers, and ensures shopping centres appear in AI-generated responses to consumer queries.

Gonow Luma is designed for shopping centre operators and managers, retail property groups, individual retail brands and chains with multiple locations, and any physical retailer that wants to increase product discoverability in AI search engines.

A shopping centre app serves consumers directly. GoNow Luma serves the AI systems that consumers use to discover shopping destinations — ChatGPT, Gemini, Perplexity, and Microsoft Copilot. It is an AI data infrastructure platform that makes physical retail visible inside AI responses, not a consumer-facing app (though it also powers consumer-facing AI experiences).

It is both. GoNow Luma provides a SaaS admin dashboard for centre managers and retailers to manage product data, view AI visibility scores, and track performance. Underneath, it is a sophisticated AI data infrastructure built on Supabase (PostgreSQL + pgvector), Schema.org JSON-LD generation, vector embeddings, and MCP server hosting.

AI-powered search engines and assistants are rapidly becoming the primary discovery channel for consumers. When someone asks ChatGPT "Where can I find running shoes near Paseo de Gracia?" or asks Gemini "Best sushi restaurant in the Diagonal Mar area?" — the results come from structured, AI-indexed data. If your retail centre or brand is not AI-indexed, you are invisible to this growing channel, regardless of your traditional search rankings.

GEO is the discipline of optimising your website, content, and data so it can be found, cited, and recommended by AI-powered generative search engines like ChatGPT, Google Gemini, Perplexity AI, Microsoft Copilot, and Claude. It involves structured data markup, content formatting for AI extractability, llms.txt configuration, AI crawler access optimisation, and semantic content structuring.

Traditional SEO focuses on ranking in Google's algorithmic search results (the blue links). GEO focuses on getting your brand cited and recommended in AI-generated answers. AI systems do not rank pages — they synthesise answers from structured, authoritative sources. GEO ensures your brand is part of those answers.

We optimise for ChatGPT (GPT-4o search), Google Gemini and AI Overviews, Perplexity AI, Microsoft Copilot / Bing AI, Claude by Anthropic, Meta AI, and Apple Intelligence. Our technical approach ensures broad compatibility across current and future AI platforms.

Yes. GoNow Productions is based in Barcelona, Spain, but we serve clients globally. We have delivered AI optimisation and digital projects across 21 countries. All services are available remotely, with English and Spanish language support.

Shopping centres using GoNow Luma gain structured AI-indexed product data for all tenants, appear in AI-generated responses to local shopping queries, enable consumers to find specific products available in the centre using AI assistants, and benefit from detailed analytics on AI search visibility and product coverage. Results in AI citation frequency typically improve within 4–8 weeks of deployment.

Gonow Luma uses a multi-tenant data architecture. Each retailer has their own data pipeline, and the centre has a unified overview dashboard. Product data is ingested from retailer feeds, PDFs, spreadsheets, or direct API connections — then normalised, structured, and enriched with AI-ready metadata.

An MCP (Model Context Protocol) server is a standardised interface that allows AI assistants to query your product and store data in real time. When a user asks ChatGPT "What stores in [your centre] sell X?", an MCP server enables the AI to fetch live, accurate data from your centre's database. GoNow Luma includes MCP server setup and hosting.

To become visible in AI search responses, your brand needs: (1) structured data — Schema.org JSON-LD markup on your website; (2) AI-accessible content — server-rendered HTML pages that AI crawlers can read; (3) an llms.txt file describing your site to AI systems; (4) authoritative, citable content — blog posts, FAQs, and service descriptions formatted for AI extraction; and (5) correct robots.txt configuration welcoming AI crawlers. GoNow Productions delivers all of these as part of our GEO service.

Yes. We work with individual retailers, direct-to-consumer brands, and omnichannel retailers. Our services include standalone AI search optimisation (GEO), AI Assist implementation for your website, custom AI tools, and retail digital marketing packages.

Yes. The Luma data infrastructure and GEO methodology applies to any vertical where physical location and inventory discoverability matters — including commercial real estate, property portals, and property management platforms. We have experience working with major UK property portals.