Every chatbot gives some wrong answers. What separates a good deployment from a bad one is not the initial accuracy but whether there is a loop that catches and fixes errors. Without one, quality decays quietly: your prices change, your service area expands, a policy is updated, and the bot keeps confidently repeating last year's facts to people who have no way of knowing.
Corrections come in two flavours, and telling them apart matters. Some wrong answers happen because the source content is wrong or outdated, in which case the fix belongs on the website page, not in the bot. Others happen because the content was fine but the answer missed the intent, in which case a direct correction is the right tool. A useful habit is to ask, before correcting anything, whether a human reading the same page would have made the same mistake. If yes, fix the page.
Clerkzo saves conversations with thumbs up and thumbs down ratings and provides a corrections loop, so the path from spotting a bad answer to fixing it is short enough that people actually do it. A fifteen-minute weekly review of thumbs-down conversations is usually enough to keep quality stable, and it doubles as a running audit of what your website says.
Related terms
Browse all 142 terms- Answer EngineAn answer engine is a system that responds to a question with a direct answer rather than a list of links, typically by retrieving relevant sources and synthesising them into a single response.
- AI GuardrailAn AI guardrail is a constraint that defines what a chatbot will and will not say or do, keeping it inside safe, accurate and on-brand territory regardless of what a visitor asks.
- Knowledge SourceA knowledge source is any body of content a chatbot uses to answer questions, such as your website pages, product descriptions, policy documents or a list of frequently asked questions.
- Conversation RatingA conversation rating is a simple signal, usually a thumbs up or thumbs down, that a visitor gives to a chatbot reply to indicate whether it was helpful. It is the cheapest quality feedback a chat widget can collect.