Jobs to Be Done
- Track daily keyword rankings across country, city, and device
- Detect SERP feature changes like AI Overviews and shopping carousels
- Audit competitor visibility and content gaps at keyword scale
- Pull People Also Ask and related searches for content briefs
- Feed SERP data into BI tools so the whole team sees organic trends
Common Workflows
Multi-location rank tracker
A daily job queries Scavio for 25K tracked keywords across 12 priority countries and 40 cities, stores positions in BigQuery, and flags any keyword that drops more than three positions day over day into a Slack channel for the SEO team to triage.
Example: for (kw, geo) in matrix: scavio.google(kw, location=geo) -> bigquery.seo_ranks
AI Overview coverage audit
Weekly scan of 5K money keywords checks which ones trigger AI Overviews in 2026, which brands are cited inside them, and how often the client appears. Output drives content refresh priorities and PR outreach targeting overview citations.
Example: scavio.google(kw, features=['ai_overview']) -> parse(citations)
Content gap mining
For each target topic, pull People Also Ask, related searches, and the top 20 organic results. Cluster questions with embeddings and export a content brief naming the subtopics competitors cover that the client does not.
Example: scavio.google(topic).paa + related -> cluster -> brief.md
Pain Points Scavio Solves
- Enterprise rank trackers charge per keyword and cap locations
- SERP layouts changed again in 2026 and off-the-shelf parsers lag behind
- Hard to get fresh data into custom dashboards without CSV exports
- Competitor tracking across countries requires a patchwork of tools
Tools SEO Managers Pair With Scavio
Looker Studio, BigQuery, Ahrefs, Screaming Frog, Google Search Console, Zapier. 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('best crm software', location='New York', device='mobile')"},
)
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
Google News
News search with headlines and sources
Google Shopping
Shopping results with multi-retailer pricing
Google Maps
Local business search with ratings and contact info