search-ad-keyword-architect
Deep keyword research for paid search. Analyzes competitor SEO keywords, review language, Reddit/community terminology, and existing site content to build a keyword architecture: branded vs non-branded, funnel stage mapping, match type recommendations, and estimated competition tiers. Use before building a Google Ads campaign or to audit an existing one.
Best use case
search-ad-keyword-architect is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deep keyword research for paid search. Analyzes competitor SEO keywords, review language, Reddit/community terminology, and existing site content to build a keyword architecture: branded vs non-branded, funnel stage mapping, match type recommendations, and estimated competition tiers. Use before building a Google Ads campaign or to audit an existing one.
Teams using search-ad-keyword-architect should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/search-ad-keyword-architect/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How search-ad-keyword-architect Compares
| Feature / Agent | search-ad-keyword-architect | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Deep keyword research for paid search. Analyzes competitor SEO keywords, review language, Reddit/community terminology, and existing site content to build a keyword architecture: branded vs non-branded, funnel stage mapping, match type recommendations, and estimated competition tiers. Use before building a Google Ads campaign or to audit an existing one.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
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SKILL.md Source
# Search Ad Keyword Architect
Build a comprehensive keyword architecture for paid search campaigns. Goes beyond basic keyword lists by organizing terms into a strategic framework: funnel stages, intent buckets, match types, and competitive density tiers.
**Core principle:** Bad keyword strategy is the #1 reason startups waste money on Google Ads. This skill builds the strategic foundation before you write a single ad.
## When to Use
- "Do keyword research for our Google Ads"
- "What keywords should we bid on?"
- "Build a keyword strategy for paid search"
- "Audit our existing keyword list"
- "Find high-intent keywords in our space"
## Phase 0: Intake
1. **Product name + URL** — What are we advertising?
2. **Product category** — How would a buyer search for this? (e.g., "sales automation", "AI writing tool")
3. **ICP** — Target buyer role, company stage, pain points
4. **Competitor domains** — 3-5 competitors
5. **Monthly PPC budget** — Affects aggressiveness of recommendations
6. **Existing keywords?** — Currently bidding on anything?
7. **Known converting keywords?** — Any existing performance data
## Phase 1: Keyword Universe Building
### 1A: Competitor SEO Keyword Mining
For each competitor, research their organic keyword rankings:
```bash
# If seo-domain-analyzer available:
python3 skills/seo-domain-analyzer/scripts/analyze_domain.py \
--domain <competitor_domain> \
--output json
```
Also web search:
```
Search: site:<competitor_domain> [product category keywords]
Search: <competitor> SEO keywords ranking
Search: <competitor> top pages organic traffic
```
Extract keywords with buying intent — skip informational-only terms.
### 1B: Review & Community Language Mining
The exact language buyers use matters more than what marketers think they search:
**Reviews:**
```bash
python3 skills/review-scraper/scripts/scrape_reviews.py \
--product "<your product>" \
--product "<competitor>" \
--platforms g2,capterra \
--output json
```
Extract phrases like:
- "I was looking for a [term] that could..."
- "We switched from [X] because we needed..."
- "Best [term] for [use case]"
**Reddit:**
```bash
python3 skills/reddit-scraper/scripts/scrape_reddit.py \
--query "best <category> tool OR software OR platform" \
--sort relevance \
--time year \
--limit 30
```
**Hacker News:**
```bash
python3 skills/hacker-news-scraper/scripts/scrape_hn.py \
--query "<product category>" \
--type story \
--limit 20
```
### 1C: Your Site Content Audit
```bash
python3 skills/site-content-catalog/scripts/catalog_site.py \
--url <your_website> \
--output json
```
Identify:
- Pages that could serve as landing pages
- Keywords your content already ranks for (leverage in ads)
- Gaps — search terms you're not covering
### 1D: Search Suggest & Related Terms
```
Search: "[category] tool" → note Google autocomplete suggestions
Search: "[category] software for [ICP role]"
Search: "[pain point] solution"
Search: "how to [problem your product solves]"
```
## Phase 2: Keyword Architecture
### 2A: Funnel Stage Mapping
Organize all keywords by buyer journey stage:
| Stage | Intent Signal | Example Keywords | Bid Priority |
|-------|--------------|-----------------|-------------|
| **Problem-aware** | Searching for solutions to a pain | "how to scale outbound without hiring SDRs" | Medium — educational intent |
| **Solution-aware** | Searching for a category | "AI SDR tool", "outbound automation platform" | High — comparing options |
| **Product-aware** | Searching for specific products | "[competitor] alternative", "[competitor] vs" | Very high — close to purchase |
| **Most-aware** | Searching for your brand | "[your brand]", "[your brand] pricing" | Must-have — defend brand |
### 2B: Intent Classification
| Intent Type | Ad Group Strategy | Landing Page Strategy |
|-------------|------------------|---------------------|
| **Transactional** ("buy", "pricing", "free trial") | Aggressive bid, exact match | Direct product/pricing page |
| **Commercial** ("best", "top", "vs", "alternative") | Strong bid, exact + phrase | Comparison or feature page |
| **Informational** ("how to", "what is", "guide") | Low bid or skip — save for SEO | Blog/resource (if targeting) |
| **Navigational** (brand searches) | Must-bid, exact match | Homepage or brand LP |
### 2C: Competitive Density Assessment
For top 30 keywords, estimate competition level:
| Density | Signal | Strategy |
|---------|--------|----------|
| **Low** | Few ads showing, no big brands | Bid aggressively — first mover advantage |
| **Medium** | Some competitors, not saturated | Bid strategically — differentiate with copy |
| **High** | Major players dominating | Bid selectively — long-tail variants, exact match only |
| **Very high** | Big ad budgets, position 1-4 locked | Avoid head-on — focus on long-tail or competitor terms |
### 2D: Match Type Matrix
| Keyword | Exact [keyword] | Phrase "keyword" | Broad keyword | Recommendation |
|---------|----------------|-----------------|---------------|---------------|
| [keyword 1] | ✓ | ✓ | ✗ | Start exact, expand to phrase after data |
| [keyword 2] | ✓ | ✗ | ✗ | Exact only — too broad in phrase |
| [keyword 3] | ✓ | ✓ | ✓ | All match types — high-volume, need coverage |
## Phase 3: Negative Keyword Architecture
### Category Negatives
```
[Industry]-specific terms that share words with your keywords but wrong intent
```
### Intent Negatives
```
jobs, careers, hiring, salary, internship
free, open source, download (if not applicable)
tutorial, course, certification, how to become
login, support, help, documentation
review, reddit, quora, forum (if not desired)
```
### Competitor Brand Negatives (Optional)
If not running competitor campaigns, negative-match competitor brand names to prevent waste.
## Phase 4: Output Format
```markdown
# Keyword Architecture — [Product Name] — [DATE]
## Research Summary
- Sources analyzed: [competitor SEO, reviews, Reddit, HN, site audit]
- Total keywords discovered: [N]
- After dedup + filtering: [N]
- Recommended for campaign: [N]
---
## Keyword Universe by Funnel Stage
### Most-Aware (Brand Defense)
| Keyword | Match Type | Est. Volume | Competition | Priority |
|---------|-----------|------------|-------------|----------|
| [keyword] | Exact | [H/M/L] | Low | Must-have |
### Product-Aware (Competitor Capture)
| Keyword | Match Type | Est. Volume | Competition | Priority |
...
### Solution-Aware (Category)
...
### Problem-Aware (Top of Funnel)
...
---
## Recommended Ad Group Structure
| Ad Group | Theme | Keywords | Match Types | Landing Page |
|----------|-------|----------|------------|-------------|
| [Name] | [Theme] | [N] keywords | [Exact + Phrase] | [URL] |
---
## Negative Keyword Lists
### Campaign-Level Negatives
[List]
### Ad Group-Level Negatives
[Per ad group]
---
## Competitive Density Map
| Keyword Theme | Your Position | Top Competitors Bidding | Density | Recommendation |
|--------------|--------------|------------------------|---------|---------------|
| [Theme] | [Not bidding / Bidding] | [Names] | [H/M/L] | [Bid / Skip / Long-tail] |
---
## Quick Wins (Start Here)
Top 10 keywords to launch with — highest intent, manageable competition:
| # | Keyword | Match Type | Intent | Competition | Why |
|---|---------|-----------|--------|-------------|-----|
| 1 | [keyword] | Exact | Transactional | Medium | [Reason] |
...
---
## Budget Allocation Recommendation
| Funnel Stage | % of Budget | Reasoning |
|-------------|------------|-----------|
| Brand defense | [X%] | Protect brand searches |
| Competitor capture | [X%] | High-intent, ready to switch |
| Solution-aware | [X%] | Category buyers — highest volume |
| Problem-aware | [X%] | Only if budget allows |
```
Save to `clients/<client-name>/ads/keyword-architecture-[YYYY-MM-DD].md`.
## Cost
| Component | Cost |
|-----------|------|
| SEO domain analyzer (per competitor) | ~$0.10-0.30 (Apify) |
| Review scraper | ~$0.10-0.30 (Apify) |
| Reddit scraper | ~$0.05-0.10 (Apify) |
| HN scraper | Free |
| Site content catalog | Free-$0.10 |
| Analysis | Free (LLM reasoning) |
| **Total for 3 competitors** | **~$0.50-1.50** |
## Tools Required
- **Apify API token** — `APIFY_API_TOKEN` env var
- **Upstream skills:** `seo-domain-analyzer`, `review-scraper`, `reddit-scraper`, `hacker-news-scraper`, `site-content-catalog`
- **web_search** — for keyword discovery
## Trigger Phrases
- "Do keyword research for Google Ads"
- "What keywords should we bid on?"
- "Build a keyword architecture for [product]"
- "Find high-intent search keywords"
- "Audit our PPC keyword strategy"Related Skills
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