| name | search-ad-keyword-architect |
| description | 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.
|
| tags | ["seo"] |
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
- Product name + URL — What are we advertising?
- Product category — How would a buyer search for this? (e.g., "sales automation", "AI writing tool")
- ICP — Target buyer role, company stage, pain points
- Competitor domains — 3-5 competitors
- Monthly PPC budget — Affects aggressiveness of recommendations
- Existing keywords? — Currently bidding on anything?
- 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:
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:
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:
python3 skills/reddit-scraper/scripts/scrape_reddit.py \
--query "best <category> tool OR software OR platform" \
--sort relevance \
--time year \
--limit 30
Hacker News:
python3 skills/hacker-news-scraper/scripts/scrape_hn.py \
--query "<product category>" \
--type story \
--limit 20
1C: Your Site Content Audit
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
# 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"
