The Problem
AI models cite old Reddit threads in generated answers. A 6-year-old complaint thread can appear in AI recommendations indefinitely, damaging brand perception. Brands have no automated way to detect when their Reddit mentions enter AI citations.
The Scavio Solution
Run daily Google searches for brand keywords with AI Overview enabled to detect Reddit citations. Simultaneously search Reddit for your brand to track which threads are gaining visibility. Alert when old complaint threads appear in AI-generated answers.
Before
Before automated monitoring, a brand discovered a 4-year-old Reddit complaint thread was being cited in AI answers for their primary keyword. They found out from a customer who mentioned it. The thread had been cited for weeks before detection.
After
After setting up automated monitoring, the brand checks 20 keywords daily. Google searches detect AI Overview citations ($0.10/day). Reddit searches track thread momentum ($0.10/day). Total: $6/month. New citations detected within 24 hours instead of weeks.
Who It Is For
Brand managers, reputation teams, GEO strategists, and PR teams monitoring AI-generated brand visibility.
Key Benefits
- Detect Reddit-to-AI-Overview citations within 24 hours
- Track which Reddit threads gain AI visibility
- Combined Google + Reddit monitoring for $0.20/day
- Alert on old complaint threads entering AI citations
- Monitor competitor Reddit citations in the same queries
Python Example
import requests, os, json
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def monitor_citations(brand, keywords):
alerts = []
for kw in keywords:
g = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': kw,
'include_ai_overview': True}, timeout=10).json()
aio = g.get('ai_overview', {}) or {}
sources = aio.get('sources', [])
reddit_citations = [s for s in sources if 'reddit' in s.get('domain', '')]
if reddit_citations:
alerts.append({'keyword': kw, 'reddit_sources': reddit_citations})
return alerts
alerts = monitor_citations('mybrand', ['best mybrand alternative', 'mybrand review'])
for a in alerts:
print(f"{a['keyword']}: {len(a['reddit_sources'])} Reddit citations")JavaScript Example
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function monitorCitations(brand, keywords) {
const alerts = [];
for (const kw of keywords) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({platform: 'google', query: kw, include_ai_overview: true})
}).then(r => r.json());
const sources = ((r.ai_overview || {}).sources || []);
const reddit = sources.filter(s => (s.domain || '').includes('reddit'));
if (reddit.length) alerts.push({keyword: kw, redditSources: reddit});
}
return alerts;
}
monitorCitations('mybrand', ['mybrand review']).then(a => console.log(`${a.length} alerts`));Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit