The Problem
AI marketing agents keep failing at the same thing: they reason well but the data layer is flat web summaries, stale SERP snapshots, or sparse Reddit threads. Agents trained on Tavily-style summaries miss the SERP structure (AI overviews, PAA, knowledge graph) that professional marketers use.
The Scavio Solution
Scavio is the structured data layer for marketing agents. Plug one API into any agent framework (LangChain, CrewAI, MCP, n8n) and get Google SERP with AI overviews, YouTube transcripts, Reddit threads, and competitor product pages in one uniform schema. The agent reasons over rich structure, not flat summaries.
Before
Tavily summaries produce generic agent output; teams build bespoke scrapers to fill the gap.
After
One Scavio key powers competitor monitoring, ad copy extraction, brand mention tracking, and AI-overview visibility checks.
Who It Is For
Marketing engineers and growth teams building AI agents for competitor monitoring, ad analysis, and brand visibility tracking.
Key Benefits
- AI overviews, PAA, knowledge graph in structured JSON
- YouTube transcripts for creator context
- Reddit brand mention monitoring
- Framework-native (LangChain, CrewAI, MCP, n8n)
- Predictable credits per agent run
Python Example
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def brand_pulse(brand):
serp = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'query': brand, 'include_ai_overview': True}).json()
rdt = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'platform': 'reddit', 'query': brand}).json()
return {
'ai_overview': serp.get('ai_overview'),
'knowledge_graph': serp.get('knowledge_graph'),
'reddit_mentions': len(rdt.get('posts', []))
}JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };
async function brandPulse(brand) {
const [serp, rdt] = await Promise.all([
fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ query: brand, include_ai_overview: true })
}).then(r => r.json()),
fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform: 'reddit', query: brand })
}).then(r => r.json())
]);
return {
aiOverview: serp.ai_overview,
knowledgeGraph: serp.knowledge_graph,
redditMentions: (rdt.posts || []).length
};
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit