The days of clunky manual translation workflows and generic, brand-deaf automated output might finally be numbered. On this episode of The WP Minute+, host Eric Karkovack sits down with Augustin, CEO and founder of Weglot, to unwrap Weglot 2.0. They dive deep into how personalized AI models, live website data, and server-side infrastructure are rewriting the playbook for building high-converting, localized WordPress sites—without needing a native speaker on staff.
Key Takeaways
Weglot 2.0 builds a bespoke AI translation model using your existing site data as a base, preserving your specific audience, tone, and brand identity.
The updated dashboard allows users to choose their operational speed—ranging from total autonomous automation to explicit review workflows and agency validation stages.
In-house testing across millions of prompts showed that multi-language sites appear up to 3x more frequently in Google AI Overviews and LLM search results.
Translation isn't just plain text anymore; localized media, image alt tags, and video elements can now be detected, served, and managed directly.
A simple 3-month strategy: deploy automated translations across ~12 candidate languages based on traffic data, analyze the conversion lift, and double down on top performers.
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