AEO Monitoring Stack (DIY)

The Problem

Dedicated AEO tools (Profound, Peec) start at enterprise pricing. Most teams need brand-citation tracking across LLMs but don't need a managed dashboard.

The Scavio Solution

Scavio (AI Overview citations + Reddit signal layer) + Claude/GPT/Perplexity API polling + a simple dashboard. DIY stack tracks AI share-of-voice for ~$50-100/mo.

Who It Is For

Marketing leads tracking LLM-channel share, SaaS founders monitoring brand visibility in ChatGPT/Claude, growth teams quantifying AEO investment.

Key Benefits

• 10x cheaper than dedicated AEO tools
• Full query control (vs dashboard's preset queries)
• Reddit signal layer (leading indicator)
• Cron-able to any cadence
• DIY but ships in a weekend

Python Example

import requests, os, anthropic
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
client = anthropic.Anthropic()

def sov(query, brand):
    ai_overview = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': query, 'include_ai_overview': True}).json().get('ai_overview', {})
    cited = any(brand.lower() in str(c).lower() for c in ai_overview.get('citations', []))
    claude_ans = client.messages.create(model='claude-sonnet-4-7', max_tokens=400, messages=[{'role':'user','content':query}]).content[0].text
    return {'aio_cited': cited, 'claude_mentioned': brand.lower() in claude_ans.lower()}

JavaScript Example

// Same logic in TS via fetch + Anthropic SDK.

Platforms Used