# Multi domain brand SEO Human Guide

## What This Is For
When a company has multiple domains (e.g., company.com and product.ai), ensure the company/main site ranks first for brand queries. It gives the agent a clearer input/output frame for search and SEO workflows: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Multi domain brand SEO agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for multi domain brand SEO.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the Multi domain brand SEO guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Hub does not target Spoke product keywords (e.g., "virtual staging," "AI design tool")
- Spoke does not target Hub brand keywords (Title avoids brand-only; add product description)
- Internal links: Hub → Spoke (Products); Spoke → Hub (About, Footer)
- **Consistency**: Same brand name, description, logo across Hub and Spoke
- **Entity Home**: Authoritative About page on Hub as primary reference
- **Knowledge Panel**: Claim via Google; suggest updates when available
- **Hub vs Spoke** mapping (domains, roles)
- **On-page checklist** (Hub and Spoke)
- **Schema** (Organization with subOrganization)
- **domain-architecture**: Hub-Spoke structure; when to use multiple domains
- **schema-markup**: Organization, SoftwareApplication; subOrganization
- **serp-features**: Knowledge Panel, Sitelinks; brand SERP

## Decision Points And Nuance
The original skill emphasizes: Typical Scenarios, Hub-Spoke Model, Differentiation, Avoid Cannibalization, Optimization Checklist, Hub (company.com) On-Page, Hub Content & Structure, Spoke (product.ai) Differentiation, Schema (Hub), Entity & Knowledge Panel.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Spoke does not target Hub brand keywords (Title avoids brand-only; add product description)
- | **Title** | Product name + product description, e.g. `[Product] — [Core function]` or `[Product keyword] \| [Product]`; avoid brand-only |

## Copy-And-Paste Prompt
```text
Use the Multi domain brand SEO human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the kostja94/marketing-skills skill entry for `multi-domain-brand-seo`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# SEO: Multi-Domain Brand Search

When a company has multiple domains (e.g., company.com and product.ai), ensure the **company/main site** ranks first for brand queries. Product sites focus on product keywords and do not compete for brand position. See **domain-architecture** for structure decisions; **rebranding-strategy** for domain change and migration.

**When invoking**: On **first use**, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.

## Typical Scenarios

| Scenario | Description |
|----------|-------------|
| **Multiple domains** | Company main site (company.com), product site (product.ai / product.io) |
| **Brand query competition** | Product site or third-party (Crunchbase, LinkedIn, reviews) may outrank main site for brand |
| **Entity confusion** | Legacy brands, sub-brands, directories dilute brand perception |
| **Goal** | Brand queries → company.com first; product.ai → product keywords only |

## Hub-Spoke Model

| Role | Domain | Responsibility |
|------|--------|----------------|
| **Hub** | company.com | Brand #1; About, Research, ecosystem, product matrix |
| **Spoke** | product.ai | Product keywords, features, pricing; visible "by [Company]" and link back to company.com |

## Differentiation

| Dimension | Hub (company.com) | Spoke (product.ai) |
|-----------|--------------------|---------------------|
| **Audience** | Investors, partners, media, developers | Product users, prospects |
| **Keywords** | Brand name, company name, industry | Product features, use cases |
| **Content** | Mission, About, Research, Events, product matrix | Features, Use Cases, Pricing, Sign up |
| **Conversion** | Contact, Waitlist, Early Access | Sign up, Try free, Pricing |

## Avoid Cannibalization

- Hub does not target Spoke product keywords (e.g., "virtual staging," "AI design tool")
- Spoke does not target Hub brand keywords (Title avoids brand-only; add product description)
- Internal links: Hub → Spoke (Products); Spoke → Hub (About, Footer)

## Optimization Checklist

### Hub (company.com) On-Page

| Item | Recommendation |
|------|----------------|
| **Title** | Company full name + positioning, e.g. `[Company] — [Slogan] \| AI Research & Products` |
| **Meta Description** | Company name, core business, partners; 150–160 chars |
| **H1** | Company name or main slogan |
| **URL** | Canonicalize www vs non-www (301) |

### Hub Content & Structure

| Item | Recommendation |
|------|----------------|
| **About** | Company intro, founders, founding date, positioning; link to product sites |
| **Products** | Product matrix; each product links to its site |
| **Research / News** | Papers, events, partnerships; increase brand mentions |
| **FAQ** | "What is [Company]?" "What is [Product]?"; FAQ schema |

### Spoke (product.ai) Differentiation

| Item | Recommendation |
|------|----------------|
| **Title** | Product name + product description, e.g. `[Product] — [Core function]` or `[Product keyword] \| [Product]`; avoid brand-only |
| **About** | "A product of [Company](https://company.com)" |
| **Footer** | "© [Company]" or "A [Company] Product" + link to company.com |
| **Schema** | SoftwareApplication with `author` or `publisher` pointing to Company |

### Schema (Hub)

Use Organization schema with `subOrganization` to define product relationships:

```json
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "https://www.company.com",
  "description": "[Company description]",
  "sameAs": ["https://linkedin.com/company/...", "https://github.com/..."],
  "subOrganization": [
    {