AI-powered search visibility suite that audits websites for SEO, Answer Engine Optimisation (AEO), and Generative Engine Optimisation (GEO) grounded in live search results.
Traditional SEO tools only track conventional keyword ranks on classic search index pages. They do not account for:
- AI Answer Engines: How perplexity engines and conversational models (ChatGPT Search, Perplexity, Claude, Gemini) evaluate your domain.
- Generative Search Results: Google AI Overviews and SGE citations.
- LLM Synthesizability & Citability: Whether an AI agent can extract facts, answers, and authority signals from your architecture.
Businesses need to know: How does my brand and content look to autonomous AI search systems?
Luminara Suite bridges the gap between classic search indexing and generative engine optimization:
- Live Multi-Engine Search Audits: Queries live web search indexes and answer engines to inspect actual brand visibility.
- LLM-Powered Citability Diagnostics: Uses high-throughput LLM reasoning to evaluate content structure, answer density, and knowledge-graph markup.
- Actionable Optimization Blueprints: Produces granular technical SEO, AEO, and GEO recommendations.
- Competitor Benchmarking: Compares your brand's AI citation share directly against industry competitors.
- Multi-Vector Audit Scoring: Generates composite scores across technical SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO).
- Competitor Citation Snapshots: Inspects which sources LLMs select when answering queries in your domain.
- Bring-Your-Own-Key (BYOK): Seamlessly runs on your choice of AI providers:
- Groq (ultra-fast inference)
- NVIDIA NIM (enterprise model acceleration)
- Ollama (100% private, local offline execution)
- Modular Monorepo: Clean separation between client interface and backend search/analysis agents.
[ Web Client (React + TS + Vite) ]
│
▼
[ API / Worker Services (Node.js / Cloudflare) ]
│
┌───────┴─────────────────┐
▼ ▼
[ Live Search Grounding ] [ AI Agent Orchestration ]
(Google / Serper / Web) (Groq / NVIDIA NIM / Ollama)
- Frontend: React, TypeScript, Vite, Tailwind CSS
- Backend: Node.js, Express, Cloudflare Workers
- AI & Reasoning: Groq, NVIDIA NIM, Ollama, local models, RAG over live search results
- Companion Engine: Luminara-Search-Oracle-Agent
git clone https://github.com/LuminaraDigital/Luminara-Suite.git
cd Luminara-Suitecp luminara-suite/server/.env.example luminara-suite/server/.env
# Add your AI provider API keys (Groq, NVIDIA NIM, or configure local Ollama)# Backend
cd luminara-suite/server
npm install
npm run dev
# Frontend (in a separate terminal)
cd ../client
npm install
npm run dev- Live RAG Pipeline: Contextually grounds LLM synthesis against real-time SERP and answer engine results.
- Provider Redundancy: Automatic failover across Groq, NVIDIA NIM, and local Ollama nodes.
- Deterministic Evaluation: Grounded scoring rubrics ensure consistent, actionable audit reports.
Distributed under the GNU Affero General Public License v3.0 (AGPL-3.0). See LICENSE for details.