Jobs to Be Done
- Generate content briefs backed by live SERP and PAA data
- Identify video and news angles competitors are not covering
- Audit content decay by monitoring ranking drops on published pieces
- Cluster queries into pillar and cluster topic maps
- Track AI Overview citations for the brand and competitors
Common Workflows
Brief generator pipeline
A strategist enters a target keyword, and a script pulls the top 20 SERP results, PAA questions, and related YouTube videos through Scavio. An LLM then drafts a brief with outline, entities to cover, and recommended media, ready for writer handoff in Google Docs.
Example: scavio.google(kw).top20 + paa + scavio.youtube(kw).top5 -> llm.brief
Content decay monitor
Every week Scavio re-checks rankings for 1K published URLs across target keywords. Pieces that fell below position 10 get queued for refresh with a diff of the new SERP competitors, updated PAA, and changed AI Overview coverage.
Example: for url in library: scavio.google(url.keyword).position -> flag_if_drop
AI Overview citation audit
A monthly job queries Scavio for 2K money keywords, extracts AI Overview citations, and classifies each source. The strategist sees which brands earn citations and writes counter-content or outreach plans for pages that should appear but do not.
Example: scavio.google(kw, features=['ai_overview']).citations -> classify -> plan
Pain Points Scavio Solves
- Keyword tools do not show the actual 2026 SERP layout
- Briefs go stale between research and publication
- Manual PAA and video research does not scale
- Hard to track AI Overview wins without a raw API
Tools Content Strategists Pair With Scavio
Clearscope, Frase, Google Docs, Airtable, Notion, Surfer. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "scavio.google('how to start a newsletter', features=['paa','ai_overview'])"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Google News
News search with headlines and sources
Community, posts & threaded comments from any subreddit