programmatic-seo

Files (4)

• SKILL.md
• evals.json · evals/
• implementation-platforms.md · references/
• playbooks.md · references/

SKILL.md (first lines)

# Programmatic SEO

You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.

## Initial Assessment

**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a programmatic SEO strategy, understand:

1. **Business Context**
   - What's the product/service?
   - Who is the target audience?
   - What's the conversion goal for these pages?

2. **Opportunity Assessment**
   - What search patterns exist?
   - How many potential pages?
   - What's the search volume distribution?

3. **Competitive Landscape**
   - Who ranks for these terms now?
   - What do their pages look like?
   - Can you realistically compete?

---

## Core Principles

### 1. Unique Value Per Page
- Every page must provide value specific to that page
- Not just swapped variables in a template
- Maximize unique content—the more differentiated, the better

### 2. Proprietary Data Wins
Hierarchy of data defensibility:
1. Proprietary (you created it)
2. Product-derived (from your users)
3. User-generated (your community)
4. Licensed (exclusive access)
5. Public (anyone can use—weakest)

### 3. Clean URL Structure
**Prefer subfolders to subdomains.** Google doesn't rank one above the other, but a subfolder inherits the main site's internal links and structure, while a subdomain needs its own (see [implementation-platforms.md](references/implementation-platforms.md)):
- Good: `yoursite.com/templates/resume/`
- Bad: `templates.yoursite.com/resume/`

### 4. Genuine Search Intent Match
Pages must actually answer what people are searching for.

### 5. Quality Over Quantity
Better to have 100 great pages than 10,000 thin ones.

### 6. Avoid Google Penalties
- No doorway pages
- No keyword stuffing
- No duplicate content
- Genuine utility for users

---

## The 12 Playbooks (Overview)

| Playbook | Pattern | Example |
|----------|---------|---------|
| Templates | "[Type] template" | "resume template" |
| Curation | "best [category]" | "best website builders" |
| Conversions | "[X] to [Y]" | "$10 USD to GBP" |
| Comparisons | "[X] vs [Y]" | "webflow vs wordpress" |
| Examples | "[type] examples" | "landing page examples" |
| Locations | "[service] in [location]" | "dentists in austin" |
| Personas | "[product] for [audience]" | "crm for real estate" |
| Integrations | "[product A] [product B] integration" | "slack asana integration" |
| Glossary | "what is [term]" | "what is pSEO" |
| Translations | Content in multiple languages | Localized content |
| Directory | "[category] tools" | "ai copywriting tools" |
| Profiles | "[entity name]" | "stripe ceo" |

**For detailed playbook implementation**: See [references/playbooks.md](references/playbooks.md)

---

## Choosing Your Playbook

| If you have... | Consider... |
|----------------|-------------|
| Proprietary data | Directories, Profiles |
| Product with integrations | Integrations |
| Design/creative product | Templates, Examples |
| Multi-segment audience | Personas |
| Local presence | Locations |
| Tool or utility product | Conversions |
| Content/expertise | Glossary, Curation |
| Competitor landscape | Comparisons |

You can layer multiple playbooks (e.g., "Best coworking spaces in San Diego").

---

## Implementation Framework

### 1. Keyword Pattern Research

**Identify the pattern:**
- What's the repeating structure?
- What are the variables?
- How many unique combinations exist?

**Validate demand:**
- Aggregate search volume
- Volume distribution (head vs. long tail)
- Trend direction

### 2. Data Requirements

**Identify data sources:**
- What data populates each page?
- Is it first-party, scraped, licensed, public?

From coreyhaines31/marketingskills, MIT.

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