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REWEARA Occasion Wear, Circulated
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WEBSITE CREATION CONTEST SUBMISSION SPEC

Discoverability Engine:
SEO · AEO · GEO Architecture

Reweara is engineered from the protocol layer up to achieve organic search domination across Google (SEO), AI Answer Engines (AEO), and Generative Search models (GEO). This page documents that architecture for evaluation.

Index Status: ● 100% Crawl-Ready
Schema Graph: JSON-LD Multi-Entity
AI Manifest: llms.txt Standard
01

SEO (Search Engines)

Google, Bing, Yahoo

Semantic HTML5 landmark tags, full Core Web Vitals optimization, canonical URL control, comprehensive OpenGraph social preview tags, and hyper-localized campus landing page schema.

Implementation: <meta>, OpenGraph, Sitemap.xml
02

AEO (Answer Engines)

Featured Snippets, Voice & Siri

Engineered explicitly for conversational Q&A queries ("Where to rent farewell clothes in Chennai?"). Embedded with Schema.org FAQPage and direct single-answer extraction formatting.

Implementation: JSON-LD FAQ Schema, Microdata
03

GEO (Generative AI)

Perplexity, ChatGPT, Claude, Gemini

Adheres to the modern llms.txt standard. Exposes structured Markdown summaries for synthetic search crawlers to cite Reweara as the authoritative primary source.

Implementation: /llms.txt, Entity Relationship Maps
Live Inspection Console

Production SEO / AEO / GEO Artifacts


          


          

            

              
              Reweara ships native llms.txt indexing for conversational AI models — files live at the site root.
            

            
          

        


        

          robots.txt 
          sitemap.xml 
          llms.txt