feat(seo-engine): implement competitor scraper, MDX draft editor, and strategy report generator
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packages/seo-engine/README.md
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packages/seo-engine/README.md
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# @mintel/seo-engine
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AI-powered SEO keyword discovery, topic clustering, competitor analysis, and content gap identification — grounded in real search data, zero hallucinations.
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## Architecture
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```
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ProjectContext + SeoConfig
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│
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▼
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┌──────────────────────────────────────────┐
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│ SEO Engine Orchestrator │
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│ │
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│ 1. Seed Query Expansion │
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│ (company + industry + seedKeywords) │
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│ │
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│ 2. Data Collection (parallel) │
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│ ├── Serper Search Agent │
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│ │ (related searches, PAA, │
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│ │ organic snippets, volume proxy) │
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│ ├── Serper Autocomplete Agent │
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│ │ (long-tail suggestions) │
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│ └── Serper Competitor Agent │
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│ (top-10 SERP positions) │
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│ │
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│ 3. LLM Evaluation (Gemini/Claude) │
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│ → Strict context filtering │
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│ → Topic Clustering + Intent Mapping │
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│ │
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│ 4. Content Gap Analysis (LLM) │
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│ → Compare clusters vs existing pages │
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│ → Identify missing content │
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└──────────────────────────────────────────┘
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│
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▼
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SeoEngineOutput
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(clusters, gaps, competitors, discarded)
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```
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## Quick Start
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```typescript
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import { runSeoEngine } from "@mintel/seo-engine";
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const result = await runSeoEngine(
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{
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companyName: "KLZ Cables",
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industry: "Mittelspannungskabel, Kabeltiefbau",
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briefing: "B2B provider of specialized medium-voltage cables.",
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targetAudience: "Bauleiter, Netzbetreiber",
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competitors: ["nkt.de", "faberkabel.de"],
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seedKeywords: ["NA2XS2Y", "VPE-isoliert"],
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existingPages: [
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{ url: "/produkte", title: "Produkte" },
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{ url: "/kontakt", title: "Kontakt" },
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],
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locale: { gl: "de", hl: "de" },
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},
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{
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serperApiKey: process.env.SERPER_API_KEY!,
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openRouterApiKey: process.env.OPENROUTER_API_KEY!,
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},
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);
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```
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## Configuration
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### `ProjectContext`
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| Field | Type | Description |
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| ------------------ | ----------------------------- | ------------------------------------------- |
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| `companyName` | `string?` | Client company name |
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| `industry` | `string?` | Industry / main focus keywords |
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| `briefing` | `string?` | Project briefing text |
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| `targetAudience` | `string?` | Who the content targets |
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| `competitors` | `string[]?` | Competitor domains to analyze |
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| `seedKeywords` | `string[]?` | Explicit seed keywords beyond auto-derived |
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| `existingPages` | `{ url, title }[]?` | Current site pages for content gap analysis |
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| `customGuidelines` | `string?` | Extra strict filtering rules for the LLM |
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| `locale` | `{ gl: string, hl: string }?` | Google locale (default: `de`) |
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### `SeoConfig`
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| Field | Type | Description |
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| ------------------ | --------- | -------------------------------------------- |
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| `serperApiKey` | `string` | **Required.** Serper API key |
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| `openRouterApiKey` | `string` | **Required.** OpenRouter API key |
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| `model` | `string?` | LLM model (default: `google/gemini-2.5-pro`) |
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| `maxKeywords` | `number?` | Cap total keywords returned |
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## Output
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```typescript
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interface SeoEngineOutput {
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topicClusters: TopicCluster[]; // Grouped keywords with intent + scores
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competitorRankings: CompetitorRanking[]; // Who ranks for your terms
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contentGaps: ContentGap[]; // Missing pages you should create
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discardedTerms: string[]; // Terms filtered out (with reasons)
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}
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```
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## Agents
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| Agent | Source | Data |
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| --------------------- | ---------------------- | ----------------------------------- |
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| `serper-agent` | Serper `/search` | Related searches, PAA, snippets |
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| `serper-autocomplete` | Serper `/autocomplete` | Google Autocomplete long-tail terms |
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| `serper-competitors` | Serper `/search` | Competitor SERP positions |
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## API Keys
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- **Serper** — [serper.dev](https://serper.dev) (pay-per-search, ~$0.001/query)
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- **OpenRouter** — [openrouter.ai](https://openrouter.ai) (pay-per-token)
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No monthly subscriptions. Pure pay-on-demand.
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## Development
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```bash
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pnpm install # from monorepo root
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pnpm --filter @mintel/seo-engine build
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npx tsx src/test-run.ts # smoke test (needs API keys in .env)
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```
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