Language detection in Aimogen is context-driven, not speculative. The plugin does not try to guess languages heuristically or override your multilingual setup. Instead, it relies on explicit context signals coming from WordPress, your translation plugin, the current page, or the feature configuration that triggered the AI execution.
This design avoids one of the most common AI problems on multilingual sites: content being generated in the wrong language.
Aimogen’s first and strongest signal is the WordPress language context. When you are editing or generating content inside a language-specific post created by a multilingual plugin, that language is treated as authoritative. If the current post is marked as English, the AI generates English. If it is marked as Spanish, the AI generates Spanish. Aimogen does not attempt to infer or override this.
The chatbot is also able to automatically detect the user’s language, as shown below:
This is why Aimogen works cleanly with plugins such as WPML and Polylang. These plugins define language context explicitly, and Aimogen respects it fully.
For content generation features, language detection is therefore deterministic. The language is known before execution starts, and the AI is instructed accordingly. There is no automatic language guessing based on title text, keywords, or partial content unless you explicitly instruct the AI to do so.
For AI Content Editing, the behavior is slightly different but still intentional. When editing existing content, the AI assumes the language of the input text unless you explicitly instruct it to translate. This means that rewriting, summarizing, or improving content keeps the original language intact. Translation only happens when you ask for it.
Chatbots introduce an additional layer. For chatbots, language can be determined by page context, chatbot configuration, or user input. If a chatbot is placed only on pages in a specific language, responses naturally follow that language. If the chatbot is global, it can respond in the language implied by the user’s message, but this is still guided by configuration rather than blind guessing. Aimogen does not automatically switch languages mid-conversation unless you allow it.
Embeddings add an important constraint. Embeddings themselves are language-specific. Aimogen does not auto-detect language inside an embeddings index. If you mix multiple languages in a single embeddings index, retrieval quality drops sharply. For this reason, best practice is to keep separate embedding indexes per language and connect them only to chatbots or generators operating in that language context.
In REST API usage, language detection is again explicit. API-triggered execution runs in the language context you target. There is no automatic detection based on payload text alone. External systems are expected to know which language they are generating or editing, just as they would when interacting with WordPress directly.
What Aimogen deliberately avoids is silent language switching. It does not auto-translate content because a browser language changes. It does not clone content into other languages automatically. It does not “helpfully” guess that a French title means the output should be French if the post context is English. These behaviors create SEO risk and editorial chaos, so they are intentionally excluded.
If you want automatic language detection as part of your AI logic, it must be explicitly requested through prompts or workflows. Aimogen gives you the tools to do this, but it does not assume that detection is always desirable.
In practice, language detection in Aimogen is about respecting intent and context. The language you are working in is the language the AI uses. When translation or multilingual behavior is needed, it happens because you asked for it, not because the system guessed. This makes multilingual content generation predictable, safe, and compatible with complex WordPress setups.
