Jobs to Be Done
- Deliver end-to-end GEO audits to client and in-house brands
- Translate AEO signal into concrete content and technical action
- Benchmark GEO performance across peer sets
- Detect GEO wins and losses as engine updates roll out
- Build GEO retainer offerings with repeatable deliverables
Common Workflows
GEO audit template
Run a fixed template across five engines, export a gap list, and deliver a prioritized GEO roadmap to the client inside one week.
Example: scavio.geo.audit(brand, keywords) -> pdf + roadmap
Peer-set benchmark
Compare a brand's citation share against five peer brands across every target keyword and produce a monthly leaderboard report.
Example: for brand in peers: citation_share(brand, keywords)
Engine-update watchdog
Detect sudden citation drops across the client portfolio and correlate against known engine updates to prove out external causes.
Example: scavio.ask diffs -> correlate(engine_changelog)
GEO retainer dashboard
Per-client dashboard that renders citation share, new cited URLs, and lost cited URLs; powers the monthly client call.
Example: lovable + scavio -> retainer dashboard
Pain Points Scavio Solves
- No standard deliverable for generative-engine audits
- Engines respond differently to identical optimization moves
- Client reporting requires historical trend that nobody captures
- Per-engine drift makes benchmarking a moving target
Tools GEO Specialists Pair With Scavio
Ahrefs, Semrush, Clearscope, Screaming Frog, Notion, Looker Studio. 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.geo.audit('acme', ['best crm'])"},
)
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
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata