Switch from AI mentions to AI actions.

GEO gets you mentioned. But citations aren't enough.

Alpic puts brands' products & services directly inside ChatGPT, Gemini, and Claude and take the customer through to booking, all in the chat.

THE SHIFT

Search is splitting in two

Your customers used to Google you. Now they ask ChatGPT, Gemini, and Claude.

Gartner predicts traditional search engine volume will decline by 25% as AI chatbots and virtual agents increasingly replace traditional search.

WHAT ALPIC DOES

We put your product inside AI conversations.

GEO earns the mention. Alpic makes it usable, with the assistant working from your live prices, inventory and brand universe.

LAYER 1 · GET CITED

A citation names your brand and stops there. This is the ceiling most GEO work hits.

Named in the answer
Maybe a link to click
No live prices, stock, or actions

LAYER 2 · EMBED YOUR SERVICE IN THE CHAT

At Alpic we help you build the actionable layer: an MCP app that let users interact with your service directly in the chat.

✓ Live pricing & inventory

✓ Add to cart, quote or book

✓ Your branding, messaging, visual identity

✓ Live pricing & inventory

✓ Add to cart, quote or book

✓ Your branding, messaging, visual identity

HOW IT WORKS

From invisible to indispensable

We don't touch your blog, your backlinks, or your website. GEO covers that. Alpic builds the MCP app that lets assistants reach your service and act on it.

PHASE 1

Discovery

We start by understanding your business: define user flows, capabilities, and where an AI assistant can add the most value. We map out the use cases, define the scope, and align on goals.

PHASE 2

Design

We translate your user flows and business goals into an agentic interface: conversation flows, cards, auth model, brand fit. From wireframes to full mockups, every interaction is defined and tied back to your existing APIs.

PHASE 3

Development

We build the full MCP server and connect it to your existing systems. Custom front-end components, authentication, data handling, feedback loops, and LLM instructions are all part of the build.

APIs

User authentication

Inventory

Component library

Visual identity

MCP Server

Authentication

Widgets

Behind the scenes

main

1import { McpServer } from "skybridge/server"
2import { z } from "zod"
3 
4server.registerTool(
"search_flights",
{ description: "Search available flights" },
{
  inputSchema: {
    from: z.string().describe("Origin IATA code"),
    to:   z.string().describe("Destination IATA"),
    date: z.string().describe("ISO 8601 departure date"),
  },
},
async ({ from, to, date }) => ({
  structuredContent: await api.searchFlights({ from, to, date }),
})
17)

PHASE 4

Testing

Get feedback on your app from internal testers or even to external focus groups via the Alpic playground, then deploy to ChatGPT in dev mode to test in a production environment.