Choose the language your customers actually use
A visitor may ask in English, Hindi, or a mixture rather than follow a formal translation. Collect examples from your own team and use them in the tester. Do not assume that a correctly translated greeting proves the assistant understands a complete business enquiry.
Configure the intended language behaviour in your workspace and check real questions about services, prices, and exceptions. Keep business names, product names, and contact details consistent. Your website interface and the AI response language are separate aspects of the experience.
Prepare knowledge with clear meaning
Use concise facts that can be understood without internal abbreviations. If a policy has an exception, state it explicitly. A vague source may produce an equally vague answer in more than one language. Do not rely on translation to resolve a contradiction between documents.
Where you maintain bilingual content, compare the meaning of the two versions after an update. A changed price or return condition should not remain outdated in the second language. Have someone fluent in the target language review wording that affects a customer decision.
Test Hinglish as customers type it
Romanised Hindi can have several spellings. Try variations your customers use, including short informal phrases and follow-up questions. Review whether the reply addresses the same issue and retains important conditions, not merely whether it contains familiar words.
AI may respond in an unexpected language or misunderstand mixed wording. Keep a contact route for a person, and ask the visitor to clarify rather than pretending the meaning is certain. This page does not guarantee comprehensive dialect coverage or native-level fluency.
A language review checklist
- Can a fluent reviewer understand the answer naturally?
- Are prices, service areas, and timing conditions unchanged?
- Does a follow-up preserve the original question context?
- Are business and product names still recognisable?
- Can the visitor reach a person when the wording is ambiguous?
Keep localisation separate from capability claims
A Hindi marketing page or greeting is not evidence of a certified multilingual support operation. Similarly, a language setting does not create a staffed translation team. Publish only the assistance your business can actually provide.
Consider how forms and human follow-up work after the AI reply. If your team cannot respond in the visitor preferred language, make the available contact options clear. Do not promise language-specific response times without a process to support them.
Review before expanding traffic
Use your own Free workspace to compare a small set of equivalent questions in each intended language. Record factual errors, unclear terms, and cases needing a person. Correct the knowledge and retest important policies before inviting more customers.
Some languages or scripts may need different review effort. Choose a narrower supported experience if you cannot check the result. A trustworthy limited conversation is more useful than an untested claim that every language works perfectly.
Use a bilingual reference answer
For an important policy, write a short reference answer in the languages your team intends to support. Have a fluent reviewer confirm the meaning before using it as a test. Include a condition that matters, such as a location or timing restriction, rather than testing only a greeting.
Compare the assistant reply with the reference for facts and intent. A fluent-looking sentence may omit an exception or change the degree of certainty. Note the exact mismatch and correct the source where possible. If the question remains unreliable, offer a person rather than claiming complete language coverage.
Retest after a policy change in each intended language, including the mixed wording customers use. Check contact forms and next-step instructions as well as the main reply. The visitor journey includes the human response, so tell your team which language the customer prefers when that information is available and appropriate.
A controlled trial to adapt
Example to adapt: ask the same service-area question in English, Hindi, and the Romanised wording your customers use. Include one location the policy does not cover. A fluent reviewer should check whether each answer preserves the restriction and offers clarification where needed. Do not judge success only from script recognition or polite phrasing. Record the factual errors separately from awkward wording, then decide whether the language experience is ready for customers. This is a test design, not a guarantee that every paraphrase or dialect will work.