The Problem
Generic LLM-written content for non-English-first markets reads like a translation. Local references and current context (events, weather, news) make the difference between 'enjoy your stay' and 'the Sveti Stefan jazz festival starts Friday'.
The Scavio Solution
n8n + Gemini/Claude + Scavio for live local context + brand fingerprint + Google Sheets handoff. Sheets is the universal client interface.
Before
An r/AI_Agents post built a Serbian Instagram agent for a Montenegro hotel. Generic LLM tone alone wasn't enough; local references made the posts perform.
After
Daily/weekly captions in target language with live local context + on-brand voice. Per-client-month cost under $5 for the data layer.
Who It Is For
Agencies with 5-30 SMB clients in non-English markets, tourism/hospitality SMBs, multi-region B2C brands.
Key Benefits
- Live local context via Scavio (events, weather, news, recent reviews)
- Brand voice fingerprint preserves per-client tone
- Sheets handoff = no client-side learning curve
- Per-client-month <$5 in API cost
- Works in any language with local references
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def local_context(city, country, week):
queries = [f'weather {city} {week}', f'site:visit-{country}.com events', f'reddit r/{country} {city}']
out = []
for q in queries:
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': q}).json()
out.extend(r.get('organic_results', [])[:3])
return outJavaScript Example
// Same in n8n via HTTP node.Platforms Used
Web search with knowledge graph, PAA, and AI overviews