Scavio for D2C AI Agent Discovery Optimization

The Problem

D2C brands are invisible to AI shopping agents because those agents pull product data from Google AI Overviews and marketplace search results, not from independent brand websites, creating a growing discovery gap.

How Scavio Helps

• Audit AI agent visibility across Google, Amazon, and TikTok
• Identify AI Overview citation gaps vs competitors
• Track D2C vs marketplace visibility for channel strategy
• Data-driven content optimization for AI shopping agent discovery
• Monthly audits cost under $5 for typical product keyword sets

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "D2C brand AI shopping agent visibility optimization 2026":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for D2C brand founders, ecommerce marketers, and digital strategists evaluating AI-driven shopping channels

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your d2c ai agent discovery optimization solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.