Built on Your Content, Not Generic AI
- Grounded in your own trusted content: pages, documents, product data, kept current automatically
- Matches your brand: pulled from your Figma design tokens for pixel-perfect accuracy, or generated from your site if you don't have tokens yet
- Multimodal: text, voice, and image input
- Multilingual: automatic language detection, no separate deployment per market
- Every answer is traceable: you can always see what content and reasoning produced it
Speaker Notes
The grounding point is the one to slow down on: "this isn't a general-purpose AI guessing at your business: it only answers from your own approved content, kept in sync automatically as you publish." This directly addresses the accuracy/hallucination concern almost every client has, even if they don't say it out loud.
Brand match is a fast, concrete "aha" for design-conscious stakeholders: if the client's design team already has Figma tokens, say so specifically, that's the highest-fidelity path. If they don't, it still doesn't start from a generic template; it can generate a first pass from the client's own site.
Multilingual is worth naming explicitly for any client with an international audience: one deployment, not one per market. If asked how citations work in a second language, the honest answer is that the source content has to actually exist in that language too, an AI answer can be generated in French, but it can only cite a French page if a French page was ingested. For a client like a Canadian brand running English and French, that's worth surfacing during discovery, not after launch.
Transition: "Beyond just answering, the experience can also guide and personalize itself."