AISEO doesn’t pile up features. Capabilities are compressed into four interlocked system layers that together form a runnable growth execution engine.
Content Engine is not an AI writing tool. It organises content production as a system — bound to keyword clusters, linked to product data, aligned to SEO structure — outputting structured content that both search engines and AI engines can parse.
SEO articles, scenario content, semantic product descriptions. All output follows a unified structured format (FAQ / How-to / Lists / Tables) so SEO and generative AI engines can interpret it.
The engine layer abstracts model invocations. The underlying model is replaceable; business rules stay stable.
Content Engine is invoked by the pipeline. It is not a writing app for operators to click around in.
SEO System is not a plugin set. It is part of site architecture — defining structure, internal linking, Schema, indexing, and SEO health.
Hub pages, aggregations, product pages and content pages are organised by the system, not by manual link-stitching.
Product, Article, FAQ, HowTo, Breadcrumb and others — emitted by the system, aligned with the content pipeline.
New content enters the indexing-push queue automatically. Status is monitored.
Site structure, Schema completeness, internal-link coverage, orphan pages, duplicate metadata — observable health metrics.
PIM is the product and data foundation. Products, taxonomies, attributes, multi-language fields are managed at the PIM layer — shared with Content Engine, SEO System and the Multi-language layer.
Products, categories, attributes, relations, locale fields — stored and versioned uniformly.
Content Engine reads PIM fields directly at generation time. No long-term drift between content and product.
Structured fields feed Schema output natively, making product pages legible to generative AI engines.
Multi-language is not a translation utility. It replicates the entire growth system across markets — handling localized structure, hreflang and per-market content differentiation.
Each market may carry its own content tree, not merely field-level translations.
hreflang, multi-language sitemaps and locale-fallback are handled centrally by the system.
Content Engine runs on PIM’s multi-language fields, producing market-differentiated output.
The Integration page explains the PIM → Content → SEO → i18n execution chain.