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Conversational AI UX Audit — blue ocean

The only audit tool that covers chatbots and conversational AI UX.

Every other UX audit tool stops at the chat widget. UXAudit.Now ships 100+ guidelines built specifically for turn quality, fallback grace, disclosure timing, and recovery — measured against patterns we've observed in real LLM-powered products.

100+ research-backed guidelines · 5 min audits · No SDK, no code snippets

What we audit on conversational AI surfaces

Turn-taking quality: response latency, streaming behavior, interrupt handling
Fallback grace: 'I don't know' wording, escalation paths, retry suggestions
Disclosure: AI-nature signaling, capability/limitation hints, hallucination guards
Multi-turn coherence: context retention, conversation memory, summary affordance
Recovery patterns: error states, malformed-output handling, regenerate UX
Onboarding: first-prompt suggestions, example queries, capability discovery
Citation & sourcing: attribution UI, source-link patterns, confidence signals
Safety & moderation UX: blocked-content explanations, appeal paths, tone

The conversational AI UX failures we catch most often

1

No fallback when the model returns 'I don't know'

The bot says 'I'm not sure' and ends the conversation. The audit catches missing 'try asking it differently', 'connect to a human', or 'related topics' affordances.

2

AI nature never disclosed, or disclosed once and forgotten

Users mistake the assistant for a human, or forget mid-conversation that they're talking to AI. We flag missing disclosure cues at session start, on idle, and after edge-case responses.

3

No regenerate / try-again affordance on bad answers

If the response is wrong, the only path is to retype the whole question. We catch missing 'regenerate', 'try a different angle', or 'rephrase' patterns that respect the user's time.

4

Streaming responses without 'stop generating'

Once the model starts answering, users are stuck waiting. Modern conversational UX requires a clear, accessible 'stop' control — we measure its presence and discoverability.

Conversational AI UX audit — FAQ

Can you audit a chatbot embedded in another site?

Yes — provide the URL where the chat widget lives, and the AI Audit Agent will interact with it the way a real user would. We'll evaluate it on the 100+ conversational-AI guidelines.

What kinds of conversational products does this cover?

Customer-support bots, sales/marketing chatbots, internal copilots, voice assistants (text transcript), and LLM-powered productivity tools. If the user types or speaks and gets a response back, our guideline set applies.

Is this audit only on the Enterprise plan?

Conversational AI is a 5th-platform feature. It's included on Enterprise out of the box. Pro plans cover four platforms; Conversational AI can be added on top — talk to us if you need it.

Who is the research grounded in?

Our 100+ guidelines are built from observing real users on real conversational products — customer-support flows, B2B copilots, consumer chat. They're updated continuously as LLM UX patterns evolve.

Stop guessing. Start auditing.

Run your first UX audit in 5 minutes. No credit card. 30 free credits to explore every platform — SaaS, E-Commerce, Corporate, Landing pages, and Conversational AI.

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