add-competitor

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• SKILL.md

SKILL.md (first lines)

Add a new competitor to the AI visibility tool directory at `apps/www/src/lib/competitors/data.ts`.

The user will provide a URL. Follow these steps:

**Important: Write objective, factual descriptions.** Do not use marketing language, exaggerations, or the competitor's own promotional claims at face value. Describe what the tool does and how it works in neutral terms. Avoid superlatives like "industry-leading", "best-in-class", "revolutionary", etc. Stick to verifiable facts — features offered, platforms tracked, pricing tiers. Highlights should be factual differentiators, not praise.

## 1. Research the competitor

Use WebFetch to read the competitor's website at `$ARGUMENTS`. Gather:
- Product name
- Domain
- What the tool does (tagline + longer description)
- Which category it fits: `tracking`, `content`, `api-developer`, `ecommerce`, `seo-traditional`, `open-source`, or `other`
- Pricing info (free tier? starting price? enterprise?)
- Status: `active`, `shutting-down`, `acquired`, or `beta`
- 3 highlights (short bullet points about what makes it notable)

## 2. Determine feature flags

Read the feature definitions in `apps/www/src/lib/competitors/types.ts` (the `FEATURE_CATEGORIES` constant). Based on your research, determine which features the competitor supports. Set each to `true` or omit it (defaults to `false`). The features are:

- `multiLlmTracking` — tracks across multiple AI platforms (ChatGPT, Claude, Gemini, etc.)
- `visibilityScore` — provides an aggregate AI visibility score
- `citationAnalytics` — tracks citation sources in AI responses
- `competitorBenchmarking` — compare visibility against competitors
- `brandMentionTracking` — monitor brand mentions in AI responses
- `promptVolumeEstimates` — estimated search/prompt volumes
- `sentimentAnalysis` — brand sentiment in AI responses
- `crawlerAnalytics` — track AI bot visits to your site
- `geographicTracking` — visibility by region/country
- `socialMediaTracking` — Reddit and social platform monitoring
- `shoppingTracking` — product visibility in AI shopping
- `multiLanguage` — multi-language support
- `actionRecommendations` — prioritized action items
- `contentGapAnalysis` — detect content gaps vs competitors
- `siteAudits` — AI site readiness audits
- `keywordResearch` — AI keyword/prompt discovery
- `emailAlerts` — automated alerts
- `dataExportApi` — CSV export or API access
- `biConnectors` — Looker Studio, NinjaCat, etc.
- `whiteLabelAgency` — white-label or agency features
- `openSource` — source code available
- `contentGeneration` — AI content creation

Be conservative — only mark features as `true` if you can confirm them from the website.

## 3. Fetch the domain rating

Extract the domain from the URL (e.g. `https://www.example.com/foo` → `example.com`). Then run:
```bash
cd apps/www && node scripts/fetch-domain-rating.mjs "<domain>"
```

This returns JSON with `ahrefsDR`, from Ahrefs' free public API (no API key required). Use it for the competitor entry.

## 4. Generate the slug

Create a URL-friendly slug from the product name (lowercase, hyphens, no special chars). For example: "Otterly.ai" → "otterly", "SE Ranking" → "se-ranking".

## 5. Take the screenshot and upload

Run the screenshot script:
```bash
cd apps/www && node scripts/screenshot-competitor.mjs "<slug>" "<url>"
```

This requires `SCREENSHOT_ONE_ACCESS_KEY` and `BLOB_READ_WRITE_TOKEN` in `apps/www/.env`.

If the script fails, inform the user and continue with the data entry — the screenshot can be added later.

**Verify the capture — don't trust it blindly.** ScreenshotOne uploads whatever the site serves, and sites with bot protection (Cloudflare, etc.) frequently return a captcha or block page to the headless browser, which then gets stored as the "screenshot." After a successful upload, download the blob URL the script printed and actually view the image:

```bash
curl -s -o /tmp/<slug>.jpg "<blob URL printed by the script>"
```

Open `/tmp/<slug>.jpg` and confirm it's genuinely the competitor's homepage/product — **not** a bot challenge ("Checking your browser…", "Select all squares with…", "verify you are human"), an access-denied / 403 page, or a blank/error page. If it's a challenge or error page, do NOT keep it: tell the user automated capture was blocked and ask them to send a real screenshot to upload manually (the script sets `allowOverwrite: true`, so re-uploading replaces the bad image).

## 6. Insert into data.ts

Read `apps/www/src/lib/competitors/data.ts` and insert the new `Competitor` object into the `competitors` array (position in this array doesn't matter for display order).

Use the same code style as the existing entries. Example entry:

```typescript
{
    slug: "example-tool",
    name: "Example Tool",
    domain: "example.com",
    url: "https://example.com",
    tagline: "Short one-line description of what they do",
    description:
        "Longer 2-3 sentence description of the tool, its approach, and what makes it notable.",
    category: "tracking",
    ahrefsDR: 55,
    status: "active",
    features: {
        multiLlmTracking: true,
        visibilityScore: true,
        citationAnalytics: true,
    },
    pricing: { hasFree: true, startingPrice: "$49/mo", hasEnterprise: false },
    highlights: [
        "First highlight",
        "Second highlight",
        "Third highlight",
    ],
},
```

## 7. Add to AEO popularity ranking

In the same file (`data.ts`), find the `aeoPopularityRanking` array. This is a hardcoded list of slugs ordered from most popular to least popular **as an AEO tool specifically**. It determines both the display order in the directory and the A–F popularity grade.

Insert the new tool's slug at the appropriate position based on these criteria (in priority order):

1. **Is AI visibility / AEO the tool's PRIMARY product?** Pure AEO trackers rank above SEO suites or content platforms that bolted on AEO features.
2. **Market traction as an AEO tool** — funding rounds, notable enterprise customers, press coverage (Fortune, WSJ, TechCrunch, etc.), user counts, industry recognition (G2, Gartner, etc.).
3. **Feature depth in core AEO capabilities** — multi-LLM tracking, visibility scores, citation analytics, competitor benchmarking, brand mention tracking.

From EthanYoQ/Skill-hub, MIT.

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