FEATURED PROJECT
CompareInternet
Distributed Provider Intelligence &
Localized Acquisition Ecosystem
A scalable PHP-based platform designed to power localized internet provider discovery through dynamic provider logic, AI-assisted city content, distributed publishing workflows, and geographic intelligence systems.
PROJECT OVERVIEW
CompareInternet was designed as a large-scale localized acquisition platform focused on helping users discover internet providers, compare plans, and access region-specific information dynamically assembled from multiple data sources.
Rather than relying on static pages, the platform used custom backend orchestration to generate highly contextual provider experiences at city, state, and country levels while supporting business-aware provider prioritization and scalable editorial operations.
The platform combined custom PHP architecture, structured provider datasets, AI-assisted content generation, and distributed WordPress management systems to create scalable localized experiences across hundreds of geographic locations.
SYSTEM ARCHITECTURE
A distributed architecture built for scalability and operational flexibility.
The public-facing platform was built using PHP, HTML, and Bootstrap, while dedicated WordPress instances were repurposed as operational management systems for editorial publishing and provider data administration.
Custom endpoints aggregated and transformed structured data coming from provider datasets, operational WordPress systems, and geographic logic into fully assembled localized provider experiences.
01
Editorial WordPress(Posts & Content)
- Blog Posts
- Categories
- Authors
- Media
- Editorial Workflows
02
Provider Data WordPress(Plans & Providers)
- Providers
- Plans
- Pricing
- Speeds
- Provider Priorities
- Geo Rankings
03
Custom PHP Application(CompareInternet Platform)
- Data Aggregation Layer
- Provider Priority Engine
- City / State / Country Logic
- Plan Matching & Filtering
- AI Content Integration
- Nearby Cities Engine
04
Public Experience(HTML, PHP, Bootstrap)
- Localized City Pages
- Provider Comparisons
- Dynamic Rankings
- Plan Recommendations
- AI City Content
- Nearby Cities
- Editorial Content
CORE SYSTEMS
The platform was designed around modular systems that allowed provider data, editorial content, geographic logic, and localized acquisition experiences to scale independently while remaining connected through custom endpoints and aggregation layers.
Localized Provider Matching
I designed endpoint logic that dynamically matched provider plans against city-specific provider availability, prioritization rules, speed thresholds, and acquisition requirements.
This allowed each city page to assemble relevant provider experiences dynamically rather than relying on manually curated pages.
Provider Data Infrastructure
Provider plans and metadata were managed through a dedicated operational WordPress instance used internally by teams responsible for maintaining provider information, pricing, speeds, and rankings.
Custom endpoints distributed this data dynamically across the ecosystem.
Geographic Provider Intelligence
I created endpoint systems operating at city, state, and country levels to determine provider prioritization, fastest providers, cheapest plans, and localized provider rankings dynamically.
This allowed geographic experiences to remain scalable and reusable across the platform.
AI-Assisted City Content
I implemented OpenAI-powered workflows used to generate contextual city-level content explaining internet usage, lifestyle relevance, and localized informational sections at scale.
This significantly reduced manual content creation while supporting localized SEO growth.
Distributed Editorial Publishing
Editorial content was managed through a separate WordPress publishing platform used by writers and content teams.
Consumer-facing sites consumed this content through custom endpoints, allowing centralized editorial workflows without exposing production systems directly.
Nearby Cities Logic
I implemented latitude and longitude-based logic to dynamically identify nearby cities and generate regional relationships automatically.
This improved scalability, internal linking, and localized navigation experiences.
PLATFORM VIEWS
01 — Public Provider Experience
Localized Provider Experiences
City-specific provider comparison pages dynamically assembled using geographic logic, provider availability, plan prioritization, and localized ranking systems.
Each experience adapted in real time based on regional coverage, speed thresholds, provider priorities, and acquisition requirements.
02 — Provider Comparison Platform
Dynamic Plan Comparison Interface
Consumer-facing provider comparison experiences designed to support scalable filtering, plan matching, ranking systems, and conversion-focused browsing across hundreds of geographic markets.
Built with responsive UX patterns, reusable provider modules, and dynamically distributed provider datasets.
03 — Editorial Publishing Infrastructure
Distributed Editorial Publishing System
Operational WordPress publishing infrastructure allowing editorial teams to create, manage, and distribute localized content across multiple platform properties from a centralized workflow.
Included AI-assisted content generation, publishing queues, property targeting, and scalable editorial
04 — Provider Data Operations
Provider Data Management Infrastructure
Internal operational platform used to manage provider datasets, pricing, coverage areas, speeds, rankings, availability, and geographic distribution logic across the ecosystem.
Custom endpoint architecture distributed this operational data dynamically throughout the public-facing platform experiences.
IMPACT & OUTCOMES
Building scalable localized acquisition systems through connected provider intelligence.
CompareInternet transformed fragmented provider, editorial, and geographic data into dynamic localized experiences that scale through connected operational systems.
300+
Localized provider experiences dynamically generated across cities and regions.
AI-Assisted
Operational workflows integrated with OpenAI-powered localized content generation.
Distributed
Multi-source infrastructure connecting provider, editorial, and geographic systems.
Real-Time
Dynamic provider ranking and prioritization logic operating across geographic levels.