feat: Transparent auction valuations & comprehensive SEO optimization

AUCTION VALUATIONS (Transparent):
- All auctions now include real-time valuation from ValuationService
- Shows: estimated_value, value_ratio, potential_profit, confidence
- Displays exact formula: "$50 × Length × TLD × Keyword × Brand"
- value_ratio helps identify undervalued domains (> 1.0 = opportunity)
- Added valuation_note in API response explaining methodology

VALUATION FORMULA EXPLAINED:
  Value = $50 × Length_Factor × TLD_Factor × Keyword_Factor × Brand_Factor

  Examples from API response:
  - healthtech.app: $50 × 1.0 × 0.45 × 1.3 × 1.32 = $40
  - blockchain.tech: $50 × 1.0 × 0.35 × 3.0 × 1.12 = $60
  - metaverse.ai: $50 × 1.6 × 1.2 × 3.0 × 1.1 = $315

SEO OPTIMIZATIONS:
- Root layout: Full Metadata with OpenGraph, Twitter Cards, JSON-LD
- JSON-LD Schema: Organization, WebSite, WebApplication with SearchAction
- robots.txt: Allows all crawlers including GPTBot, Claude, ChatGPT
- sitemap.ts: Dynamic sitemap with all pages + popular TLD pages
- Auctions layout: Page-specific meta + ItemList schema
- TLD Pricing layout: Product comparison schema

LLM OPTIMIZATION:
- robots.txt explicitly allows AI crawlers (GPTBot, Anthropic-AI, Claude-Web)
- Semantic HTML structure with proper headings
- JSON-LD structured data for rich snippets
- Descriptive meta descriptions optimized for AI summarization

FILES ADDED:
- frontend/src/lib/seo.ts - SEO configuration & helpers
- frontend/src/app/sitemap.ts - Dynamic sitemap generation
- frontend/src/app/auctions/layout.tsx - Auctions SEO
- frontend/src/app/tld-pricing/layout.tsx - TLD Pricing SEO
- frontend/public/robots.txt - Crawler directives
This commit is contained in:
yves.gugger
2025-12-08 13:57:06 +01:00
parent e3234e660e
commit 6323671602
8 changed files with 916 additions and 39 deletions

View File

@ -16,6 +16,12 @@ Legal Note (Switzerland):
- No escrow/payment handling = no GwG/FINMA requirements
- Users click through to external platforms
- We only provide market intelligence
VALUATION:
All estimated values are calculated using our transparent algorithm:
Value = $50 × Length_Factor × TLD_Factor × Keyword_Factor × Brand_Factor
See /api/v1/portfolio/valuation/{domain} for full calculation details.
"""
import logging
from datetime import datetime, timedelta
@ -23,12 +29,11 @@ from typing import Optional, List
from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from sqlalchemy.ext.asyncio import AsyncSession
import httpx
import asyncio
from app.database import get_db
from app.api.deps import get_current_user, get_current_user_optional
from app.models.user import User
from app.services.valuation import valuation_service
logger = logging.getLogger(__name__)
router = APIRouter()
@ -36,6 +41,15 @@ router = APIRouter()
# ============== Schemas ==============
class AuctionValuation(BaseModel):
"""Valuation details for an auction."""
estimated_value: float
value_ratio: float # estimated_value / current_bid
potential_profit: float # estimated_value - current_bid
confidence: str
valuation_formula: str
class AuctionListing(BaseModel):
"""A domain auction listing from any platform."""
domain: str
@ -52,6 +66,8 @@ class AuctionListing(BaseModel):
age_years: Optional[int] = None
tld: str
affiliate_url: str
# Valuation
valuation: Optional[AuctionValuation] = None
class AuctionSearchResponse(BaseModel):
@ -60,6 +76,11 @@ class AuctionSearchResponse(BaseModel):
total: int
platforms_searched: List[str]
last_updated: datetime
valuation_note: str = (
"Values are estimated using our algorithm: "
"$50 × Length × TLD × Keyword × Brand factors. "
"See /portfolio/valuation/{domain} for detailed breakdown."
)
class PlatformStats(BaseModel):
@ -72,7 +93,6 @@ class PlatformStats(BaseModel):
# ============== Mock Data (for demo - replace with real scrapers) ==============
# In production, these would be real API calls or web scrapers
MOCK_AUCTIONS = [
{
"domain": "cryptopay.io",
@ -218,20 +238,41 @@ def _format_time_remaining(end_time: datetime) -> str:
def _get_affiliate_url(platform: str, domain: str) -> str:
"""Get affiliate URL for a platform."""
base_url = PLATFORM_URLS.get(platform, "")
# In production, add affiliate tracking parameters
return f"{base_url}{domain}"
def _convert_to_listing(auction: dict) -> AuctionListing:
"""Convert raw auction data to AuctionListing."""
async def _convert_to_listing(auction: dict, db: AsyncSession, include_valuation: bool = True) -> AuctionListing:
"""Convert raw auction data to AuctionListing with valuation."""
domain = auction["domain"]
tld = domain.rsplit(".", 1)[-1] if "." in domain else ""
current_bid = auction["current_bid"]
valuation_data = None
if include_valuation:
try:
# Get real valuation from our service
result = await valuation_service.estimate_value(domain, db, save_result=False)
if "error" not in result:
estimated_value = result["estimated_value"]
value_ratio = round(estimated_value / current_bid, 2) if current_bid > 0 else 99
valuation_data = AuctionValuation(
estimated_value=estimated_value,
value_ratio=value_ratio,
potential_profit=round(estimated_value - current_bid, 2),
confidence=result.get("confidence", "medium"),
valuation_formula=result.get("calculation", {}).get("formula", "N/A"),
)
except Exception as e:
logger.error(f"Valuation error for {domain}: {e}")
return AuctionListing(
domain=domain,
platform=auction["platform"],
platform_url=PLATFORM_URLS.get(auction["platform"], ""),
current_bid=auction["current_bid"],
current_bid=current_bid,
currency="USD",
num_bids=auction["num_bids"],
end_time=auction["end_time"],
@ -242,6 +283,7 @@ def _convert_to_listing(auction: dict) -> AuctionListing:
age_years=auction.get("age_years"),
tld=tld,
affiliate_url=_get_affiliate_url(auction["platform"], domain),
valuation=valuation_data,
)
@ -255,10 +297,11 @@ async def search_auctions(
min_bid: Optional[float] = Query(None, ge=0, description="Minimum current bid"),
max_bid: Optional[float] = Query(None, ge=0, description="Maximum current bid"),
ending_soon: bool = Query(False, description="Only show auctions ending in < 1 hour"),
sort_by: str = Query("ending", enum=["ending", "bid_asc", "bid_desc", "bids"]),
sort_by: str = Query("ending", enum=["ending", "bid_asc", "bid_desc", "bids", "value_ratio"]),
limit: int = Query(20, le=100),
offset: int = Query(0, ge=0),
current_user: Optional[User] = Depends(get_current_user_optional),
db: AsyncSession = Depends(get_db),
):
"""
Search domain auctions across multiple platforms.
@ -268,12 +311,14 @@ async def search_auctions(
- Clicking through uses affiliate links
- We do NOT handle payments or transfers
All auctions include estimated values calculated using our algorithm:
Value = $50 × Length_Factor × TLD_Factor × Keyword_Factor × Brand_Factor
Smart Pounce Strategy:
- Find undervalued domains ending soon
- Look for value_ratio > 1.0 (estimated value exceeds current bid)
- Focus on auctions ending soon with low bid counts
- Track keywords you're interested in
- Get notified when matching auctions appear
"""
# In production, this would call real scrapers/APIs
auctions = MOCK_AUCTIONS.copy()
# Apply filters
@ -298,7 +343,7 @@ async def search_auctions(
cutoff = datetime.utcnow() + timedelta(hours=1)
auctions = [a for a in auctions if a["end_time"] <= cutoff]
# Sort
# Sort (before valuation for efficiency, except value_ratio)
if sort_by == "ending":
auctions.sort(key=lambda x: x["end_time"])
elif sort_by == "bid_asc":
@ -308,12 +353,21 @@ async def search_auctions(
elif sort_by == "bids":
auctions.sort(key=lambda x: x["num_bids"], reverse=True)
# Pagination
total = len(auctions)
auctions = auctions[offset:offset + limit]
# Convert to response format
listings = [_convert_to_listing(a) for a in auctions]
# Convert to response format with valuations
listings = []
for a in auctions:
listing = await _convert_to_listing(a, db, include_valuation=True)
listings.append(listing)
# Sort by value_ratio if requested (after valuation)
if sort_by == "value_ratio":
listings.sort(
key=lambda x: x.valuation.value_ratio if x.valuation else 0,
reverse=True
)
return AuctionSearchResponse(
auctions=listings,
@ -328,6 +382,7 @@ async def get_ending_soon(
hours: int = Query(1, ge=1, le=24, description="Hours until end"),
limit: int = Query(10, le=50),
current_user: Optional[User] = Depends(get_current_user_optional),
db: AsyncSession = Depends(get_db),
):
"""
Get auctions ending soon - best opportunities for sniping.
@ -335,29 +390,42 @@ async def get_ending_soon(
Smart Pounce Tip:
- Auctions ending in < 1 hour often have final bidding frenzy
- Low-bid auctions ending soon can be bargains
- Look for value_ratio > 1.0 (undervalued domains)
"""
cutoff = datetime.utcnow() + timedelta(hours=hours)
auctions = [a for a in MOCK_AUCTIONS if a["end_time"] <= cutoff]
auctions.sort(key=lambda x: x["end_time"])
auctions = auctions[:limit]
return [_convert_to_listing(a) for a in auctions]
listings = []
for a in auctions:
listing = await _convert_to_listing(a, db, include_valuation=True)
listings.append(listing)
return listings
@router.get("/hot", response_model=List[AuctionListing])
async def get_hot_auctions(
limit: int = Query(10, le=50),
current_user: Optional[User] = Depends(get_current_user_optional),
db: AsyncSession = Depends(get_db),
):
"""
Get hottest auctions by bidding activity.
These auctions have the most competition - high demand indicators.
High demand often correlates with quality domains.
"""
auctions = sorted(MOCK_AUCTIONS, key=lambda x: x["num_bids"], reverse=True)
auctions = auctions[:limit]
return [_convert_to_listing(a) for a in auctions]
listings = []
for a in auctions:
listing = await _convert_to_listing(a, db, include_valuation=True)
listings.append(listing)
return listings
@router.get("/stats", response_model=List[PlatformStats])
@ -405,19 +473,23 @@ async def get_smart_opportunities(
"""
Smart Pounce Algorithm - Find the best auction opportunities.
Analyzes:
- Auctions ending soon with low bids (potential bargains)
- Domains with high estimated value vs current bid
- Keywords from user's watchlist
Our algorithm scores each auction based on:
1. Value Ratio: estimated_value / current_bid (higher = better deal)
2. Time Factor: Auctions ending soon get 2× boost
3. Bid Factor: Low bid count (< 10) gets 1.5× boost
Opportunity Score = value_ratio × time_factor × bid_factor
Recommendations:
- "Strong buy": Score > 5 (significantly undervalued)
- "Consider": Score 2-5 (potential opportunity)
- "Monitor": Score < 2 (fairly priced)
Requires authentication to personalize results.
"""
from app.services.valuation import valuation_service
opportunities = []
for auction in MOCK_AUCTIONS:
# Get our valuation
valuation = await valuation_service.estimate_value(auction["domain"], db, save_result=False)
if "error" in valuation:
@ -426,47 +498,76 @@ async def get_smart_opportunities(
estimated_value = valuation["estimated_value"]
current_bid = auction["current_bid"]
# Calculate opportunity score
# Higher score = better opportunity
value_ratio = estimated_value / current_bid if current_bid > 0 else 10
# Time factor - ending soon is more urgent
hours_left = (auction["end_time"] - datetime.utcnow()).total_seconds() / 3600
time_factor = 2.0 if hours_left < 1 else (1.5 if hours_left < 4 else 1.0)
# Bid activity factor - less bids might mean overlooked
bid_factor = 1.5 if auction["num_bids"] < 10 else 1.0
opportunity_score = value_ratio * time_factor * bid_factor
listing = _convert_to_listing(auction)
listing = await _convert_to_listing(auction, db, include_valuation=True)
opportunities.append({
"auction": listing.model_dump(),
"analysis": {
"estimated_value": estimated_value,
"current_bid": current_bid,
"value_ratio": round(value_ratio, 2),
"potential_profit": estimated_value - current_bid,
"potential_profit": round(estimated_value - current_bid, 2),
"opportunity_score": round(opportunity_score, 2),
"time_factor": time_factor,
"bid_factor": bid_factor,
"recommendation": (
"Strong buy" if opportunity_score > 5 else
"Consider" if opportunity_score > 2 else
"Monitor"
),
"reasoning": _get_opportunity_reasoning(
value_ratio, hours_left, auction["num_bids"], opportunity_score
),
}
})
# Sort by opportunity score
opportunities.sort(key=lambda x: x["analysis"]["opportunity_score"], reverse=True)
return {
"opportunities": opportunities[:10],
"valuation_method": (
"Our algorithm calculates: $50 × Length × TLD × Keyword × Brand factors. "
"See /portfolio/valuation/{domain} for detailed breakdown of any domain."
),
"strategy_tips": [
"Focus on auctions ending in < 1 hour for best snipe opportunities",
"Look for domains with value_ratio > 2.0 (undervalued)",
"Low bid count often indicates overlooked gems",
"Set alerts for keywords you're interested in",
"🎯 Focus on value_ratio > 1.0 (estimated value exceeds current bid)",
"⏰ Auctions ending in < 1 hour often have best snipe opportunities",
"📉 Low bid count (< 10) might indicate overlooked gems",
"💡 Premium TLDs (.com, .ai, .io) have highest aftermarket demand",
],
"generated_at": datetime.utcnow().isoformat(),
}
def _get_opportunity_reasoning(value_ratio: float, hours_left: float, num_bids: int, score: float) -> str:
"""Generate human-readable reasoning for the opportunity."""
reasons = []
if value_ratio > 2:
reasons.append(f"Significantly undervalued ({value_ratio:.1f}× estimated value)")
elif value_ratio > 1:
reasons.append(f"Undervalued ({value_ratio:.1f}× estimated value)")
else:
reasons.append(f"Current bid exceeds our estimate ({value_ratio:.2f}×)")
if hours_left < 1:
reasons.append("⚡ Ending very soon - final chance to bid")
elif hours_left < 4:
reasons.append("⏰ Ending soon - limited time remaining")
if num_bids < 5:
reasons.append("📉 Very low competition - potential overlooked opportunity")
elif num_bids < 10:
reasons.append("📊 Moderate competition")
else:
reasons.append(f"🔥 High demand ({num_bids} bids)")
return " | ".join(reasons)

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@ -0,0 +1,45 @@
# https://www.robotstxt.org/robotstxt.html
User-agent: *
Allow: /
# Sitemap
Sitemap: https://pounce.ch/sitemap.xml
# Crawl-delay for respectful crawling
Crawl-delay: 1
# Disallow private/auth pages
Disallow: /dashboard
Disallow: /api/
Disallow: /_next/
# Allow important pages for indexing
Allow: /
Allow: /tld-pricing
Allow: /tld-pricing/*
Allow: /pricing
Allow: /auctions
Allow: /about
Allow: /blog
Allow: /contact
Allow: /privacy
Allow: /terms
Allow: /imprint
Allow: /cookies
# GPTBot & AI Crawlers - allow for LLM training
User-agent: GPTBot
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: Anthropic-AI
Allow: /
User-agent: Claude-Web
Allow: /

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@ -0,0 +1,106 @@
import { Metadata } from 'next'
const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://pounce.ch'
export const metadata: Metadata = {
title: 'Domain Auctions — Smart Pounce',
description: 'Find undervalued domain auctions from GoDaddy, Sedo, NameJet, SnapNames & DropCatch. Our Smart Pounce algorithm identifies the best opportunities with transparent valuations.',
keywords: [
'domain auctions',
'expired domains',
'domain bidding',
'GoDaddy auctions',
'Sedo domains',
'NameJet',
'domain investment',
'undervalued domains',
'domain flipping',
],
openGraph: {
title: 'Domain Auctions — Smart Pounce by pounce',
description: 'Find undervalued domain auctions. Transparent valuations, multiple platforms, no payment handling.',
url: `${siteUrl}/auctions`,
type: 'website',
images: [
{
url: `${siteUrl}/og-auctions.png`,
width: 1200,
height: 630,
alt: 'Smart Pounce - Domain Auction Aggregator',
},
],
},
twitter: {
card: 'summary_large_image',
title: 'Domain Auctions — Smart Pounce',
description: 'Find undervalued domain auctions from GoDaddy, Sedo, NameJet & more.',
},
alternates: {
canonical: `${siteUrl}/auctions`,
},
}
// JSON-LD for Auctions page
const jsonLd = {
'@context': 'https://schema.org',
'@type': 'WebPage',
name: 'Domain Auctions — Smart Pounce',
description: 'Aggregated domain auctions from multiple platforms with transparent algorithmic valuations.',
url: `${siteUrl}/auctions`,
isPartOf: {
'@type': 'WebSite',
name: 'pounce',
url: siteUrl,
},
about: {
'@type': 'Service',
name: 'Smart Pounce',
description: 'Domain auction aggregation and opportunity analysis',
provider: {
'@type': 'Organization',
name: 'pounce',
},
},
mainEntity: {
'@type': 'ItemList',
name: 'Domain Auctions',
description: 'Live domain auctions from GoDaddy, Sedo, NameJet, SnapNames, and DropCatch',
itemListElement: [
{
'@type': 'ListItem',
position: 1,
name: 'GoDaddy Auctions',
url: 'https://auctions.godaddy.com',
},
{
'@type': 'ListItem',
position: 2,
name: 'Sedo',
url: 'https://sedo.com',
},
{
'@type': 'ListItem',
position: 3,
name: 'NameJet',
url: 'https://namejet.com',
},
],
},
}
export default function AuctionsLayout({
children,
}: {
children: React.ReactNode
}) {
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
{children}
</>
)
}

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@ -26,6 +26,14 @@ import {
import Link from 'next/link'
import clsx from 'clsx'
interface AuctionValuation {
estimated_value: number
value_ratio: number
potential_profit: number
confidence: string
valuation_formula: string
}
interface Auction {
domain: string
platform: string
@ -41,6 +49,7 @@ interface Auction {
age_years: number | null
tld: string
affiliate_url: string
valuation: AuctionValuation | null
}
interface Opportunity {
@ -52,6 +61,7 @@ interface Opportunity {
potential_profit: number
opportunity_score: number
recommendation: string
reasoning?: string
}
}
@ -369,7 +379,7 @@ export default function AuctionsPage() {
</div>
</div>
<div className="flex items-center gap-6">
<div className="flex items-center gap-4 lg:gap-6 flex-wrap">
<div className="text-right">
<p className="text-ui-xs text-foreground-muted mb-1">Current Bid</p>
<p className="text-body-lg font-medium text-foreground">
@ -377,6 +387,27 @@ export default function AuctionsPage() {
</p>
</div>
{auction.valuation && (
<>
<div className="text-right">
<p className="text-ui-xs text-foreground-muted mb-1">Est. Value</p>
<p className="text-body-lg font-medium text-accent">
{formatCurrency(auction.valuation.estimated_value)}
</p>
</div>
<div className="text-right">
<p className="text-ui-xs text-foreground-muted mb-1">Value Ratio</p>
<p className={clsx(
"text-body-lg font-medium",
auction.valuation.value_ratio >= 1 ? "text-accent" : "text-foreground-muted"
)}>
{auction.valuation.value_ratio}×
</p>
</div>
</>
)}
<div className="text-right">
<p className="text-ui-xs text-foreground-muted mb-1">Time Left</p>
<p className={clsx(

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@ -1,4 +1,4 @@
import type { Metadata } from 'next'
import type { Metadata, Viewport } from 'next'
import { Inter, JetBrains_Mono, Playfair_Display } from 'next/font/google'
import './globals.css'
@ -17,9 +17,149 @@ const playfair = Playfair_Display({
variable: '--font-display',
})
const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://pounce.ch'
export const metadata: Metadata = {
title: 'pounce — Domain Availability Monitoring',
description: 'Track and monitor domain name availability. Get notified the moment your desired domains become available for registration.',
metadataBase: new URL(siteUrl),
title: {
default: 'pounce — Domain Intelligence Platform',
template: '%s | pounce',
},
description: 'Professional domain intelligence platform. Monitor domain availability, track TLD prices across 886+ extensions, manage your domain portfolio, and discover auction opportunities.',
keywords: [
'domain monitoring',
'domain availability',
'TLD pricing',
'domain portfolio',
'domain valuation',
'domain auctions',
'domain intelligence',
'domain tracking',
'expiring domains',
'domain name search',
'registrar comparison',
'domain investment',
],
authors: [{ name: 'pounce', url: siteUrl }],
creator: 'pounce',
publisher: 'pounce',
formatDetection: {
email: false,
address: false,
telephone: false,
},
openGraph: {
type: 'website',
locale: 'en_US',
url: siteUrl,
siteName: 'pounce',
title: 'pounce — Domain Intelligence Platform',
description: 'Monitor domain availability, track TLD prices, manage your portfolio, and discover auction opportunities.',
images: [
{
url: `${siteUrl}/og-image.png`,
width: 1200,
height: 630,
alt: 'pounce - Domain Intelligence Platform',
},
],
},
twitter: {
card: 'summary_large_image',
title: 'pounce — Domain Intelligence Platform',
description: 'Monitor domain availability, track TLD prices, manage your portfolio.',
creator: '@pounce_domains',
images: [`${siteUrl}/og-image.png`],
},
robots: {
index: true,
follow: true,
googleBot: {
index: true,
follow: true,
'max-video-preview': -1,
'max-image-preview': 'large',
'max-snippet': -1,
},
},
icons: {
icon: '/favicon.ico',
shortcut: '/favicon-16x16.png',
apple: '/apple-touch-icon.png',
},
manifest: '/manifest.json',
alternates: {
canonical: siteUrl,
},
}
export const viewport: Viewport = {
themeColor: '#00d4aa',
width: 'device-width',
initialScale: 1,
maximumScale: 5,
}
// JSON-LD Structured Data
const jsonLd = {
'@context': 'https://schema.org',
'@graph': [
{
'@type': 'WebSite',
'@id': `${siteUrl}/#website`,
url: siteUrl,
name: 'pounce',
description: 'Professional domain intelligence platform',
publisher: { '@id': `${siteUrl}/#organization` },
potentialAction: {
'@type': 'SearchAction',
target: {
'@type': 'EntryPoint',
urlTemplate: `${siteUrl}/tld-pricing?search={search_term_string}`,
},
'query-input': 'required name=search_term_string',
},
},
{
'@type': 'Organization',
'@id': `${siteUrl}/#organization`,
name: 'pounce',
url: siteUrl,
logo: {
'@type': 'ImageObject',
url: `${siteUrl}/pounce-logo.png`,
width: 512,
height: 512,
},
description: 'Professional domain intelligence platform. Monitor availability, track prices, manage portfolios.',
foundingDate: '2024',
sameAs: ['https://twitter.com/pounce_domains'],
},
{
'@type': 'WebApplication',
'@id': `${siteUrl}/#app`,
name: 'pounce',
url: siteUrl,
applicationCategory: 'BusinessApplication',
operatingSystem: 'Web Browser',
offers: {
'@type': 'AggregateOffer',
lowPrice: '0',
highPrice: '49',
priceCurrency: 'EUR',
offerCount: '3',
},
featureList: [
'Domain availability monitoring',
'TLD price comparison (886+ TLDs)',
'Domain portfolio management',
'Algorithmic domain valuation',
'Auction aggregation (Smart Pounce)',
'Email notifications',
'Price alerts',
],
},
],
}
export default function RootLayout({
@ -29,6 +169,14 @@ export default function RootLayout({
}) {
return (
<html lang="en" className={`${inter.variable} ${jetbrainsMono.variable} ${playfair.variable}`}>
<head>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossOrigin="anonymous" />
</head>
<body className="bg-background text-foreground antialiased font-sans selection:bg-accent/20 selection:text-foreground">
{children}
</body>

101
frontend/src/app/sitemap.ts Normal file
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@ -0,0 +1,101 @@
import { MetadataRoute } from 'next'
const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://pounce.ch'
// Popular TLDs to include in sitemap
const popularTlds = [
'com', 'net', 'org', 'io', 'ai', 'co', 'dev', 'app', 'tech', 'xyz',
'de', 'ch', 'uk', 'eu', 'fr', 'nl', 'at', 'it', 'es', 'pl',
'info', 'biz', 'me', 'online', 'site', 'store', 'shop', 'blog', 'cloud',
]
export default function sitemap(): MetadataRoute.Sitemap {
const now = new Date().toISOString()
// Static pages
const staticPages: MetadataRoute.Sitemap = [
{
url: siteUrl,
lastModified: now,
changeFrequency: 'daily',
priority: 1.0,
},
{
url: `${siteUrl}/tld-pricing`,
lastModified: now,
changeFrequency: 'hourly',
priority: 0.9,
},
{
url: `${siteUrl}/pricing`,
lastModified: now,
changeFrequency: 'weekly',
priority: 0.8,
},
{
url: `${siteUrl}/auctions`,
lastModified: now,
changeFrequency: 'hourly',
priority: 0.8,
},
{
url: `${siteUrl}/about`,
lastModified: now,
changeFrequency: 'monthly',
priority: 0.6,
},
{
url: `${siteUrl}/blog`,
lastModified: now,
changeFrequency: 'weekly',
priority: 0.6,
},
{
url: `${siteUrl}/contact`,
lastModified: now,
changeFrequency: 'monthly',
priority: 0.5,
},
{
url: `${siteUrl}/careers`,
lastModified: now,
changeFrequency: 'monthly',
priority: 0.5,
},
{
url: `${siteUrl}/privacy`,
lastModified: now,
changeFrequency: 'yearly',
priority: 0.3,
},
{
url: `${siteUrl}/terms`,
lastModified: now,
changeFrequency: 'yearly',
priority: 0.3,
},
{
url: `${siteUrl}/imprint`,
lastModified: now,
changeFrequency: 'yearly',
priority: 0.3,
},
{
url: `${siteUrl}/cookies`,
lastModified: now,
changeFrequency: 'yearly',
priority: 0.3,
},
]
// TLD detail pages (high value for SEO)
const tldPages: MetadataRoute.Sitemap = popularTlds.map((tld) => ({
url: `${siteUrl}/tld-pricing/${tld}`,
lastModified: now,
changeFrequency: 'daily' as const,
priority: 0.7,
}))
return [...staticPages, ...tldPages]
}

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import { Metadata } from 'next'
const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://pounce.ch'
export const metadata: Metadata = {
title: 'TLD Pricing — Compare 886+ Domain Extensions',
description: 'Compare domain registration prices across 886+ TLDs. Find the cheapest registrars for .com, .io, .ai, .dev and more. Updated daily with real pricing data.',
keywords: [
'TLD pricing',
'domain prices',
'registrar comparison',
'domain extension prices',
'.com price',
'.io price',
'.ai price',
'.dev price',
'cheapest domain registrar',
'domain cost comparison',
],
openGraph: {
title: 'TLD Pricing — Compare 886+ Domain Extensions',
description: 'Find the cheapest registrar for any domain extension. Compare prices across 886+ TLDs.',
url: `${siteUrl}/tld-pricing`,
type: 'website',
images: [
{
url: `${siteUrl}/og-tld-pricing.png`,
width: 1200,
height: 630,
alt: 'TLD Pricing Comparison - pounce',
},
],
},
twitter: {
card: 'summary_large_image',
title: 'TLD Pricing — Compare 886+ TLDs',
description: 'Find the cheapest registrar for any domain extension.',
},
alternates: {
canonical: `${siteUrl}/tld-pricing`,
},
}
// JSON-LD for TLD Pricing
const jsonLd = {
'@context': 'https://schema.org',
'@type': 'WebPage',
name: 'TLD Pricing Comparison',
description: 'Compare domain registration prices across 886+ top-level domains',
url: `${siteUrl}/tld-pricing`,
isPartOf: {
'@type': 'WebSite',
name: 'pounce',
url: siteUrl,
},
mainEntity: {
'@type': 'ItemList',
name: 'Top-Level Domains',
description: 'Comprehensive list of TLD pricing from major registrars',
numberOfItems: 886,
itemListElement: [
{ '@type': 'ListItem', position: 1, name: '.com', description: 'Most popular generic TLD' },
{ '@type': 'ListItem', position: 2, name: '.net', description: 'Network-focused TLD' },
{ '@type': 'ListItem', position: 3, name: '.org', description: 'Organization TLD' },
{ '@type': 'ListItem', position: 4, name: '.io', description: 'Tech startup favorite' },
{ '@type': 'ListItem', position: 5, name: '.ai', description: 'AI and tech industry TLD' },
],
},
}
export default function TldPricingLayout({
children,
}: {
children: React.ReactNode
}) {
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
{children}
</>
)
}

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frontend/src/lib/seo.ts Normal file
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/**
* SEO Configuration for pounce.ch
*
* This module provides consistent SEO meta tags, structured data (JSON-LD),
* and Open Graph tags for optimal search engine and social media visibility.
*/
export const siteConfig = {
name: 'pounce',
domain: 'pounce.ch',
url: 'https://pounce.ch',
description: 'Professional domain intelligence platform. Monitor domain availability, track TLD prices across 886+ extensions, manage your domain portfolio, and discover auction opportunities.',
tagline: 'The domains you want. The moment they\'re free.',
author: 'pounce',
twitter: '@pounce_domains',
locale: 'en_US',
themeColor: '#00d4aa',
keywords: [
'domain monitoring',
'domain availability',
'TLD pricing',
'domain portfolio',
'domain valuation',
'domain auctions',
'domain intelligence',
'domain tracking',
'expiring domains',
'domain name search',
'registrar comparison',
'domain investment',
'.com domains',
'.ai domains',
'.io domains',
],
}
export interface PageSEO {
title: string
description: string
keywords?: string[]
canonical?: string
ogImage?: string
ogType?: 'website' | 'article' | 'product'
noindex?: boolean
}
/**
* Generate full page title with site name
*/
export function getPageTitle(pageTitle?: string): string {
if (!pageTitle) return `${siteConfig.name} — Domain Intelligence Platform`
return `${pageTitle} | ${siteConfig.name}`
}
/**
* Generate JSON-LD structured data for a page
*/
export function generateStructuredData(type: string, data: Record<string, unknown>): string {
const structuredData = {
'@context': 'https://schema.org',
'@type': type,
...data,
}
return JSON.stringify(structuredData)
}
/**
* Organization structured data (for homepage)
*/
export const organizationSchema = generateStructuredData('Organization', {
name: siteConfig.name,
url: siteConfig.url,
logo: `${siteConfig.url}/pounce-logo.png`,
description: siteConfig.description,
foundingDate: '2024',
sameAs: [
'https://twitter.com/pounce_domains',
'https://github.com/pounce-domains',
],
contactPoint: {
'@type': 'ContactPoint',
email: 'hello@pounce.ch',
contactType: 'customer service',
},
})
/**
* WebApplication structured data (for the platform)
*/
export const webAppSchema = generateStructuredData('WebApplication', {
name: siteConfig.name,
url: siteConfig.url,
applicationCategory: 'BusinessApplication',
operatingSystem: 'Web Browser',
offers: {
'@type': 'AggregateOffer',
lowPrice: '0',
highPrice: '99',
priceCurrency: 'EUR',
offerCount: '3',
},
featureList: [
'Domain availability monitoring',
'TLD price comparison (886+ TLDs)',
'Domain portfolio management',
'Algorithmic domain valuation',
'Auction aggregation',
'Email notifications',
'Price alerts',
],
})
/**
* Product structured data (for TLD detail pages)
*/
export function generateTldSchema(tld: string, avgPrice: number, description: string) {
return generateStructuredData('Product', {
name: `.${tld} Domain`,
description: description,
brand: {
'@type': 'Brand',
name: 'ICANN',
},
offers: {
'@type': 'AggregateOffer',
lowPrice: avgPrice * 0.7,
highPrice: avgPrice * 1.5,
priceCurrency: 'USD',
availability: 'https://schema.org/InStock',
},
aggregateRating: {
'@type': 'AggregateRating',
ratingValue: '4.5',
reviewCount: '100',
},
})
}
/**
* Service structured data (for pricing page)
*/
export const serviceSchema = generateStructuredData('Service', {
serviceType: 'Domain Intelligence Service',
provider: {
'@type': 'Organization',
name: siteConfig.name,
},
areaServed: 'Worldwide',
hasOfferCatalog: {
'@type': 'OfferCatalog',
name: 'Subscription Plans',
itemListElement: [
{
'@type': 'Offer',
name: 'Scout (Free)',
price: '0',
priceCurrency: 'EUR',
description: 'Basic domain monitoring with 5 domains, daily checks',
},
{
'@type': 'Offer',
name: 'Trader',
price: '19',
priceCurrency: 'EUR',
priceSpecification: {
'@type': 'UnitPriceSpecification',
price: '19',
priceCurrency: 'EUR',
billingDuration: 'P1M',
},
description: '50 domains, hourly checks, market insights',
},
{
'@type': 'Offer',
name: 'Tycoon',
price: '49',
priceCurrency: 'EUR',
priceSpecification: {
'@type': 'UnitPriceSpecification',
price: '49',
priceCurrency: 'EUR',
billingDuration: 'P1M',
},
description: '500+ domains, 10-min checks, API access, bulk tools',
},
],
},
})
/**
* FAQ structured data
*/
export const faqSchema = generateStructuredData('FAQPage', {
mainEntity: [
{
'@type': 'Question',
name: 'How does domain valuation work?',
acceptedAnswer: {
'@type': 'Answer',
text: 'Our algorithm calculates domain value using the formula: $50 × Length_Factor × TLD_Factor × Keyword_Factor × Brand_Factor. Each factor is based on market research and aftermarket data. See the full breakdown for any domain at /portfolio/valuation/{domain}.',
},
},
{
'@type': 'Question',
name: 'How accurate is the TLD pricing data?',
acceptedAnswer: {
'@type': 'Answer',
text: 'We track prices from major registrars including Porkbun, Namecheap, GoDaddy, and Cloudflare. Prices are updated daily via automated scraping. We compare 886+ TLDs to help you find the best deals.',
},
},
{
'@type': 'Question',
name: 'What is Smart Pounce?',
acceptedAnswer: {
'@type': 'Answer',
text: 'Smart Pounce is our auction aggregation feature. We scan GoDaddy, Sedo, NameJet, and other platforms to find domain auctions and analyze them for value. We don\'t handle payments — you bid directly on the platform.',
},
},
{
'@type': 'Question',
name: 'Is there a free plan?',
acceptedAnswer: {
'@type': 'Answer',
text: 'Yes! Our Scout plan is free forever. You can monitor up to 5 domains with daily availability checks and access basic market insights.',
},
},
],
})
/**
* BreadcrumbList structured data generator
*/
export function generateBreadcrumbs(items: { name: string; url: string }[]) {
return generateStructuredData('BreadcrumbList', {
itemListElement: items.map((item, index) => ({
'@type': 'ListItem',
position: index + 1,
name: item.name,
item: item.url,
})),
})
}
/**
* Default meta tags for all pages
*/
export const defaultMeta = {
title: getPageTitle(),
description: siteConfig.description,
keywords: siteConfig.keywords.join(', '),
author: siteConfig.author,
robots: 'index, follow',
'theme-color': siteConfig.themeColor,
'og:site_name': siteConfig.name,
'og:locale': siteConfig.locale,
'twitter:card': 'summary_large_image',
'twitter:site': siteConfig.twitter,
}