An r/AI_Agents post asked how agencies integrate AI SEO services into automated workflows. The right answer is a productized deliverable. This tutorial walks the stack.
Prerequisites
- Scavio API key
- An LLM API key
- Otterly subscription (or any AEO dashboard)
Walkthrough
Step 1: Define the deliverable scope
Keyword grid + AI Overview audit + Reddit signal + brief.
Text
# Per client: 30-50 brand-relevant keywords.
# Outputs: weekly report on citation deltas, Reddit thread mentions, content gaps.Step 2: Daily SERP + AI Overview pull
Per keyword, with citations.
Python
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def snapshot(kw):
return requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': kw, 'include_ai_overview': True}).json()Step 3: Reddit thread tracking
r/SaaS, r/marketing, niche subs.
Python
def reddit(kw):
return requests.post('https://api.scavio.dev/api/v1/reddit/search', headers=H, json={'query': kw}).json()Step 4: LLM gap-analysis prompt
What's missing from the brand's content?
Text
# Prompt: 'Given these 50 SERP results and 20 Reddit threads, identify 5 content gaps the brand has not addressed. Output: {gap, priority, draft_outline}.'Step 5: Weekly client report
Otterly dashboard + Scavio-driven gap analysis.
Text
# Otterly handles citation share visualization.
# Scavio + LLM handles the gap-analysis recommendation.
# Email PDF on Friday.Python Example
Python
# Per-client cost: 50 keywords × 2 calls × 7 days = 700 credits/week ≈ $3 of Scavio + LLM tokens.
# Sell at $499/mo: ~95% gross margin.JavaScript Example
JavaScript
// Same in TS.Expected Output
JSON
Productized $499/mo AEO deliverable with healthy gross margins. Each client sees daily citation tracking + weekly gap-analysis report + monthly content brief output.