Lakai Semantic Property Engine (LSPE)

Product Requirements Document (PRD)

Version 1.0

Project Vision

Build an AI-powered WordPress system that transforms structured property data into premium, luxury-quality property pages that are automatically optimized for:

SEO (Search Engine Optimization)
AEO (Answer Engine Optimization)
GEO (Generative Engine Optimization)
EEAT
Core Web Vitals
Conversion Rate Optimization

The system should eliminate nearly all manual page creation while producing pages that rival Airbnb Luxe, VRBO, Zillow, and high-end luxury real estate websites.

Primary Objectives

The system should:

Generate premium property pages automatically.
Maintain consistent luxury branding.
Create unique AI-generated content.
Produce semantically rich pages.
Scale to thousands of listings.
Require minimal human intervention.

Target automation: 95–98%.

Core Architecture

CSV Intake Form
        │
        ▼
Validation Engine
        │
        ▼
Property Database (Custom Post Type)
        │
        ▼
Semantic Content Engine
        │
        ▼
SEO / AEO / GEO Engine
        │
        ▼
Page Builder
        │
        ▼
Finished Property Page

System Modules

Module 1 — CSV Import Engine

Responsibilities

Upload CSV
Validate data
Detect duplicates
Update existing listings
Create new listings
Archive unavailable listings
Log import activity

Import modes

Create only
Update only
Create + Update
Replace
Dry Run (Preview)

Module 2 — Property Database

Create a custom post type: lakai_property Core taxonomies City Neighborhood Rental Type Property Type Bedrooms Bathrooms Amenities Pet Policy Furnished Status Availability Target Audience Collection Examples: Luxury Executive Family Corporate Insurance Featured

Module 3 — AI Semantic Content Engine

Generate: Luxury headline Property story Lifestyle overview Neighborhood guide Who this property is ideal for Rental strategy descriptions Property highlights FAQs Call-to-action copy Image ALT text Social media descriptions Email snippets Every section must be unique. No duplicated paragraphs.

Module 4 — GEO Intelligence Engine

Generate localized content using: City Neighborhood ZIP Code Nearby landmarks Schools Hospitals Restaurants Coffee shops Shopping Parks Business districts Transportation Driving times Generate unique geographic narratives for every property.

Module 5 — SEO Engine

Automatically generate: SEO title Meta description Slug Canonical URL Open Graph Twitter Card XML sitemap updates Internal links Related properties Breadcrumbs Image optimization metadata

Module 6 — AEO Engine

Generate answer-focused content including: Property snapshot Quick answers FAQ section Rental suitability Lease information Policies Nearby amenities \"Who is this home best for?\" Content should be optimized for AI assistants and voice search.

Module 7 — Schema Engine

Automatically output structured data. Required schemas: Organization WebPage BreadcrumbList FAQPage Offer Residence SingleFamilyResidence Apartment Place PostalAddress GeoCoordinates ImageObject VideoObject SearchAction Future support: Review AggregateRating Event RentalReservation

Module 8 — Image Engine

Automatically: Download images Optimize images Generate ALT text Build gallery Create thumbnails Support WebP Support AVIF Lazy load images Lightbox gallery Video integration Virtual tour integration

Module 9 — Internal Linking Engine

Automatically relate: Same city Same neighborhood Same rental type Same bedroom count Similar pricing Luxury collection Pet-friendly collection Corporate housing Insurance housing Temporary housing Recently added Featured listings

Module 10 — Conversion Engine

Sticky inquiry panel Schedule showing Check availability Book now Save property Share property Mortgage calculator (future) Rental estimate Lead capture CRM integration

Visitors can filter by: City Neighborhood Rental type Bedrooms Bathrooms Price Pets Pool Garage Workspace Furnished Availability Luxury collection Insurance housing Corporate housing

Admin Dashboard

Dashboard sections Overview Imports Properties AI Generation Queue Image Processing SEO Status Schema Status Performance Logs Settings

CSV Mapping Engine

Each CSV field maps to: WordPress field Schema SEO Page display AI prompt Validation rule Transformation rule No manual mapping after initial configuration.

AI Prompt Library

Maintain reusable prompt templates. Examples: Luxury Description Neighborhood Summary FAQ Generator Lifestyle Generator Corporate Housing Insurance Housing Travel Nurse Housing Pet-Friendly Copy Family Copy Executive Housing This keeps generated content consistent while allowing variation.

Content Quality Controls

Every page must pass automated validation: ✓ Unique title ✓ Unique meta description ✓ Minimum content length ✓ H1 present ✓ Proper heading hierarchy ✓ Local references ✓ FAQs generated ✓ Internal links created ✓ Schema valid ✓ Images optimized ✓ No duplicate paragraphs

Scalability

The architecture must support: 50 listings 500 listings 5,000 listings 50,000 listings without redesigning the system.

Future Enhancements

Phase 2 Interactive availability calendar Booking engine integration Owner dashboard Tenant portal Saved searches Email alerts AI chatbot for property questions Market analytics Walkability scoring Investment ROI calculator Google Maps clustering Nearby business recommendations Neighborhood videos AI-generated video tours Multilingual support

Success Criteria

The Lakai Semantic Property Engine should:

Generate a complete luxury property page from a single CSV row.
Produce pages that require little to no manual editing.
Maintain consistent premium branding across all listings.
Maximize discoverability in traditional search engines and AI-driven search experiences.
Scale effortlessly as Lakai\'s portfolio grows.

The long-term goal is for Lakai Properties to operate one of the most technically advanced property management websites in Southern California, where every listing functions as a high-performing digital asset rather than a simple property page.

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