Bengali AI-Answer Audit: Bangla, Banglish and Source-Language Checks

Correction — 31 October 2026: the earlier version included unsupported research or outcome claims without supporting records. Those findings and dataset promises are withdrawn. This is practical guidance, not a verified original study or client result.

Choose questions from your actual audience

Use customer enquiries and relevant search queries to select questions. Keep Bangla script and romanised Bangla in separate groups. Do not assume that native-speaker totals measure search demand or that Bengali queries face no competition.

Record language and location

Save the exact prompt, date, assistant, model label if shown, search mode and Bangladesh or diaspora context. A translated prompt may change meaning; have a fluent reader review matched pairs before comparison.

Read the linked source

Check the actual page language rather than the domain’s name. Record whether an answer links Bengali content, English content or both, and whether it accurately translates the source. Do not infer translation from training data merely because the answer is in Bangla.

Check local usefulness

Verify currencies, contact details, delivery areas and applicable rules against genuine business information. Look for ambiguous Banglish terms and mistranslated technical language. High-stakes answers need appropriate expert review.

Publish useful Bengali content

Write clear explanations for the audience rather than mechanical translation. Use separate language URLs and reciprocal hreflang for genuine equivalents. Keep important facts visible and choose appropriate markup. Neither bilingual pages nor FAQ markup guarantees citations.

Report only what you observed

Show the prompt panel, completed runs, source-language classification and dates. Record answers without sources and failed runs. No verified Bengali citation share, market adoption rate or first-mover deadline is established here.

Sources and further reading

Google multilingual site guidance

Google guidance on AI features