From agi-super-team
Analyzes Google SERP features including AI Overview, featured snippets, PAA, and local packs. Detects AI Overview triggers and provides optimization strategies for getting cited by Google AI.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agi-super-team:serp-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Analyze and reverse-engineer Google Search Engine Results Pages to understand ranking patterns, featured snippet triggers, AI Overview conditions, and optimization opportunities.
Analyze and reverse-engineer Google Search Engine Results Pages to understand ranking patterns, featured snippet triggers, AI Overview conditions, and optimization opportunities.
Identify all SERP features for a given query:
How to check if AI Overview triggers:
# Manual: Search on Google with the query
# Automated: Use SerpAPI or similar
curl -s "https://serpapi.com/search?q={query}&engine=google&api_key={key}" | python3 -c "
import json, sys
data = json.load(sys.stdin)
ai_overview = data.get('ai_overview', {})
if ai_overview:
print('✅ AI Overview detected')
print(f'Sources: {len(ai_overview.get(\"sources\", []))}')
for s in ai_overview.get('sources', []):
print(f' - {s.get(\"title\")}: {s.get(\"link\")}')
else:
print('❌ No AI Overview for this query')
"
AI Overview trigger conditions:
| Factor | Triggers AI Overview | Doesn't Trigger |
|---|---|---|
| Query type | Informational, how-to | Navigational, exact-match |
| Complexity | Multi-step, comparison | Simple factual |
| Intent | Research, learning | Transaction, login |
| Content availability | Rich authoritative sources | Thin content |
Snippet types and how to win them:
| Type | Format | Optimization |
|---|---|---|
| Paragraph | 40-60 word answer | Answer question directly in first paragraph |
| List | Ordered/unordered | Use H2/H3 + bullet/numbered list |
| Table | Data comparison | Use HTML <table> with clear headers |
| Video | YouTube embed | Timestamp chapters + transcript |
Template for winning paragraph snippets:
<h2>What is {keyword}?</h2>
<p>{Keyword} is {direct 40-60 word answer that completely addresses the query,
including key context and a specific data point or statistic}.</p>
Extract PAA questions for content planning:
# Search and extract PAA
WebSearch: "{keyword}"
# Look for "People Also Ask" section
# Each PAA question = content opportunity
PAA optimization checklist:
Analyze top 10 results:
| Position | URL | Title Length | Meta Desc | Schema | Word Count | Domain Authority |
|----------|-----|-------------|-----------|--------|------------|-----------------|
| 1 | ... | ... | ... | ... | ... | ... |
| 2 | ... | ... | ... | ... | ... | ... |
Key metrics to compare:
## SERP Analysis Report: "{keyword}"
### SERP Features Detected
- [ ] AI Overview: Yes/No
- [ ] Featured Snippet: Type
- [ ] PAA: X questions
- [ ] Knowledge Panel: Yes/No
- [ ] Local Pack: Yes/No
- [ ] Image Carousel: Yes/No
### Top 3 Competitors
1. {URL} — {why they rank}
2. {URL} — {why they rank}
3. {URL} — {why they rank}
### Opportunities
1. {Specific action to take}
2. {Specific action to take}
3. {Specific action to take}
### AI Overview Optimization
- Current citation status: Cited / Not cited
- Recommended changes: ...
npx claudepluginhub aaaaqwq/agi-super-team --plugin agi-super-teamAnalyzes search engine results pages (SERP) to map features, layout, ranking factors, search intent, AI Overviews, and snippet opportunities. Use when analyzing ranking patterns for a query.
Maps SERP structure, ranking factors, search intent, AI Overviews, and snippet opportunities for a given query. Useful for SEO analysis and content targeting.
Tracks SERP feature changes for target queries, monitoring AI Overviews, featured snippets, PAA, knowledge panels, local packs, and more. Useful for SEO competitive analysis and content strategy.