Project index
Verified liveProduct Experience2026

AI Platform Product Site 

A multilingual product surface that translates a complex AI SEO platform into a clear acquisition, registration, and product-education journey.

Open live product Open full system flow
Architecture knowledge graph15 connected nodes
System coreAI Platform Product SiteProduct Experience
01 / LocalizeLocale shapes routes, metadata, and product copy
02 / ExplainProduct capability becomes a navigable public narrative
03 / ConvertCalls to action share one account and plan journey
04 / IntegrateDynamic concerns cross an explicit API boundary
05 / MeasureConsent-aware analytics closes the acquisition loop
06 / DeployThe public site and API remain independently deployable
Next.js
React
next-intl
Express
Redis
MySQL
Stripe
Docker
Architecture stage Technology dependencyMove pointer to inspect depth

System brief

The multilingual front door to an AI SEO platform

Engineering focus
Product ecosystem support and integration
Domain
Product Experience
Delivery window
2026
System state
Verified live
2+localized market experiences
1public-to-product handoff
0separate account systems

The engineering move

Complex behavior, made operational.

Constraint

The product problem

The public site has to explain an unusually broad platform without reproducing the application itself. It also needs localized content, clean registration and pricing paths, privacy controls, analytics, and a reliable transition into the authenticated product.

System

The architecture decision

A localized Next.js application owns the public experience and product education. It connects to shared Express services for dynamic platform concerns, uses Redis and MySQL for application state, and hands registration, subscriptions, and authenticated use into the wider AI product ecosystem.

Outcome

The operating result

The platform presents one coherent promise from first visit through account creation while keeping the deeper AI visibility, content, tracking, and publishing capabilities discoverable.

Delivered capability

What the system actually does.

01

Localized navigation, content, metadata, and calls to action

02

Product education for content, visibility, and AI workflows

03

Pricing, registration, login, and account handoff

04

Media, FAQ, policy, consent, and analytics surfaces

05

Dynamic content and translation service integration

06

Shared authentication and platform identity

07

Stripe-aware subscription journey

08

Docker and nginx production topology

Full system flow

The Mermaid diagram, rendered.

The interactive graph above is the executive view. This is the detailed service, data, control, and delivery path reviewed from source.
Mermaid / system architecture120%

Rendering the reviewed system flow

Drag the horizontal viewport at higher zoom levelsView .mmd source

Production architecture

A concrete path through the system.

Each stage below comes from the reviewed source tree, routes, services, infrastructure, and deployment evidence.
  1. 01
    Localize

    Locale shapes routes, metadata, and product copy

    next-intl provides market-specific navigation and content while preserving a shared component and SEO foundation.

    Next.jsnext-intlMetadata
  2. 02
    Explain

    Product capability becomes a navigable public narrative

    AI, pricing, media, about, FAQ, and policy surfaces introduce the platform without exposing application complexity.

    ReactContentMedia
  3. 03
    Convert

    Calls to action share one account and plan journey

    Registration, login, and plan selection hand visitors into the shared platform identity rather than creating a parallel funnel.

    AuthStripeShared accounts
  4. 04
    Integrate

    Dynamic concerns cross an explicit API boundary

    Express services support platform content, translation, customer state, and operational integrations behind the web surface.

    ExpressRedisMySQL
  5. 05
    Measure

    Consent-aware analytics closes the acquisition loop

    Cookie controls and marketing integrations capture funnel signals while keeping privacy choices visible.

    AnalyticsMeta PixelConsent
  6. 06
    Deploy

    The public site and API remain independently deployable

    Docker Compose, nginx, and separate client and server images keep release and runtime boundaries clear.

    DockernginxCI/CD

Engineering judgment

The decisions behind the delivery.

The public site is not a product clone

It explains jobs, evidence, and outcomes, then hands deeper interaction to the authenticated platform.

Localization reaches metadata

Routes, page copy, search presentation, and conversion language move together for each market.

Identity remains continuous

Marketing, registration, plan selection, and the SaaS application belong to one product ecosystem.

Technical constellation

01Next.js02React03next-intl04Express05Redis06MySQL07Stripe08Docker
AI Platform Product Site system architecture
Deployment evidence

This is running software.

Live product and source reviewed on 2026-07-16. The public link is provided as evidence, while protected product areas correctly remain behind authentication.

Open AI Platform Product Site

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