Aimogen integrates cleanly with WPML by respecting WPML’s language model and editorial workflow, not by trying to replace or automate it. The integration is intentionally passive and deterministic: WPML defines language context and relationships, Aimogen generates or edits content within that context only.
There is no hidden syncing, cloning, or cross-language mutation.
Aimogen automatically detects WPML when it is active. No connector plugin, bridge, or special setup is required. From that point on, every AI execution runs in the current WPML language context. If you are editing the English version of a post, Aimogen generates English. If you switch to the German translation, Aimogen generates German. The language is never guessed and never overridden.
This behavior applies consistently across features: single post generation, bulk generators, AI Content Editing, chatbots, Playground testing, REST API execution, and workflows.
WPML controls language relationships. Aimogen does not create translations automatically and does not duplicate content across languages. When you create a translation via WPML, that translated post becomes a separate entity. Aimogen then treats it like any other post and works only on that language version.
This separation is critical. It prevents accidental overwrites and keeps editorial responsibility exactly where it belongs.
For translation workflows, Aimogen can be used in two safe ways. You can generate content natively in the target language by working directly in that language’s WPML context, or you can use AI Content Editing to translate existing content by explicitly instructing the AI to translate. In both cases, the action is deliberate and reversible via WordPress revisions if revisions are enabled.
Aimogen never auto-translates content just because WPML is present.
Bulk operations respect WPML boundaries. Bulk generation or editing affects only posts in the currently selected language. There is no “bulk across all languages” behavior unless you explicitly select and process posts per language. This makes large multilingual sites safe to operate at scale.
Chatbots also align with WPML language context. You can place chatbots only on pages of a specific language, and responses will follow that language. For multilingual chatbots with knowledge grounding, best practice is to maintain separate embeddings per language and attach them to language-specific chatbot configurations. Mixing languages in a single embeddings index reduces retrieval quality and consistency.
SEO remains fully compatible. WPML manages hreflang, language URLs, and translation relationships. Your SEO plugin manages metadata and schema per language. Aimogen does not touch these systems. It simply provides better content for each language version, which your SEO stack can then analyze and output correctly.
REST API usage follows the same rules. API-triggered generation runs in a defined language context and cannot bypass WPML. External systems must explicitly target the desired language version, just as they would through the WordPress UI.
The most common mistake with WPML is assuming that AI tools should automatically translate or synchronize content across languages. Aimogen deliberately avoids this. Automatic translation without intent causes SEO issues, editorial confusion, and content drift. Aimogen prioritizes predictability over automation.
Best practice is straightforward: use WPML to manage languages and translations, use Aimogen to generate or refine content inside each language context, test translation instructions in the Playground, and regenerate embeddings per language when needed.
In short, Aimogen’s WPML integration is about strict respect for language boundaries. WPML defines the multilingual structure. Aimogen operates inside it. This keeps multilingual sites stable, SEO-safe, and fully under editorial control while still benefiting from AI-powered content creation and editing.
