Scavio for Accurate Brand Research via Search Grounding

The Problem

Brand research using LLMs alone produces plausible but unverified claims. The model might say a competitor raised Series B when they actually raised Series C. Search grounding ensures every data point is current and verifiable.

How Scavio Helps

• Live Google results verify competitor positioning and market claims
• Reddit sentiment provides unfiltered community perception data
• AI Overview data includes synthesized brand information from authoritative sources
• Knowledge Graph returns verified entity data: founding date, CEO, funding
• Cost: $0.01/brand check (Google + Reddit = 2 credits)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "competitor brand name funding valuation 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 Brand strategists, competitive intelligence analysts, and marketing teams conducting brand audits

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

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.