A conversational AI chatbot uses natural language understanding to have real back-and-forth conversations with users. Here’s how they work, where they fall short, and how screen-aware AI takes it further.
Generic chatbots don't know what page your user is on. Screen-aware AI changes everything — it sees the UI, understands context, and resolves issues in seconds instead of minutes.
What if your chat widget could click buttons, navigate pages, and walk users through complex workflows? AI auto-navigation is making scripted product tours obsolete.
You're spending thousands on paid campaigns but when a chat lead converts, the data says "Direct." Here's how first-party UTM attribution in your chatbot closes the attribution black hole.
Generic chatbots handle 20% of SaaS support questions. Purpose-built ones handle 60%+. The difference is whether the AI knows your app's routes, features, and user context.
A screen-aware chatbot doesn't ask users to describe their problem — it already knows what they're looking at. Here's what that support experience looks like, from both sides of the conversation.
Most support automation deflects 15% of tickets instead of 60%. The gap comes down to one thing: context. Here's what automated support that actually resolves issues looks like.
Intercom built its reputation in a different era of support tooling. AI-native alternatives are now offering capabilities Intercom can't match — screen awareness, auto-navigation, flat pricing — at a fraction of the per-resolution cost.