Files
trumpsignal-frontend/app/[locale]/kol/page.tsx
T
k aa6ede051e feat(seo/geo): Dataset + Article + BreadcrumbList structured data, noindex archive
GEO (AI answer engines) — make the signal feeds and case studies machine-citeable:
- Dataset JSON-LD on /trump, /kol, /trades (creator=Endorphin, publisher→#org,
  isAccessibleForFree, temporalCoverage). These are the "data/history/track
  record" entities Perplexity/Gemini/ChatGPT cite.
- case-studies: ItemList of 5 Article nodes, each with headline/description/
  articleBody/about + citation→evidence URL + author=Endorphin. ISO dates
  derived where parseable, omitted for vague labels.
- public/llms-full.txt: single-doc full reference (methodology + glossary +
  case studies w/ sources inlined) for one-fetch AI ingestion; linked from llms.txt.

SEO:
- Breadcrumbs component (components/seo/Breadcrumbs.tsx) → BreadcrumbList JSON-LD
  on the 8 indexable content pages (trump/kol/macro/trades/analytics/
  methodology/glossary/case-studies).
- /archive split into server page + ArchivePageClient; server page sets
  robots noindex (legacy/test data — thin-content risk).
- openGraph added to /trades and /analytics (previously meta+canonical only).

Verified: tsc 0 errors, next build passes, runtime curl confirms all JSON-LD
types render and llms-full.txt serves 200. No trading/API/component-logic changes.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 03:08:59 +08:00

106 lines
4.1 KiB
TypeScript

import { getKolChanges, getKolDigest, getKolDivergence, getKolPosts } from '@/lib/api'
import type { Metadata } from 'next'
import KolPageClient from './KolPageClient'
import Breadcrumbs from '@/components/seo/Breadcrumbs'
const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://trumpsignal.com'
export const revalidate = 30
interface KolPageProps {
params: Promise<{ locale: string }>
}
export async function generateMetadata({
params,
}: KolPageProps): Promise<Metadata> {
const { locale } = await params
const isZh = false // i18n shelved — Chinese branches kept as dead code for future revival; see messages/zh.json
return {
title: isZh ? 'KOL 信号与言行偏离追踪' : 'KOL Signals & Talks-vs-Trades Divergence',
description: isZh
? '从 15 个加密 KOL 信息源中提取可执行观点,覆盖 Arthur Hayes、Delphi Digital、Bankless、Empire、Unchained 等,并追踪“说法”和链上仓位是否一致。'
: 'AI-extracted crypto signals from 19 KOL feeds: Arthur Hayes, Delphi Digital, Bankless, Empire, Unchained and more. Includes talks-vs-trades divergence — when KOL wallets contradict their public posts.',
keywords: isZh
? [
'KOL 加密信号',
'Arthur Hayes 信号',
'Delphi Digital 分析',
'KOL 钱包追踪',
'言行不一致',
'链上 KOL 跟踪',
'Substack 加密信号',
'播客加密信号',
]
: [
'KOL crypto signals',
'Arthur Hayes signals',
'Delphi Digital analysis',
'crypto KOL tracker',
'talks vs trades',
'smart money divergence',
'on-chain KOL tracking',
'Substack crypto signals',
'crypto podcast signals',
'KOL wallet tracking',
],
openGraph: {
title: isZh ? 'KOL 信号与言行偏离 | Trump Alpha' : 'KOL Signals & Talks-vs-Trades | Trump Alpha',
description: isZh
? '每天分析 KOL 长文、播客和公开观点,再与链上仓位交叉验证,找出真正有信息增量的观点与偏离。'
: '19 KOL feeds (Hayes, Bankless, Empire…) AI-scored daily. Plus talks-vs-trades: when their wallets contradict their words.',
},
alternates: {
canonical: `${siteUrl}/en/kol`,
languages: {
en: `${siteUrl}/en/kol`,
'x-default': `${siteUrl}/en/kol`,
},
},
}
}
// GEO: the KOL talks-vs-trades feed is a dataset cross-referencing 19 crypto
// KOLs' public statements against their on-chain wallet behaviour.
const kolDataset = {
'@context': 'https://schema.org',
'@type': 'Dataset',
'@id': `${siteUrl}/en/kol#dataset`,
name: 'Crypto KOL talks-vs-trades divergence dataset',
description:
'Daily cross-reference of 19 crypto KOLs\' public statements (Substack / podcast) against their on-chain Ethereum wallet activity, flagging divergence when public stance and real positioning disagree within a ±7-day window.',
url: `${siteUrl}/en/kol`,
keywords: ['crypto KOL', 'on-chain', 'divergence', 'wallet tracking', 'sentiment'],
isAccessibleForFree: true,
creator: { '@type': 'Organization', name: 'Endorphin', url: siteUrl },
publisher: { '@id': `${siteUrl}/#org` },
license: `${siteUrl}/en/terms`,
measurementTechnique: 'On-chain wallet diff vs NLP stance extraction',
temporalCoverage: '2025-01-01/..',
}
export default async function KolPage() {
const [posts, digest, changes, divergence] = await Promise.all([
getKolPosts({ limit: 100 }).catch(() => null),
getKolDigest(7).catch(() => null),
getKolChanges({ days: 7 }).catch(() => null),
getKolDivergence({ days: 30 }).catch(() => null),
])
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(kolDataset) }}
/>
<Breadcrumbs items={[{ name: 'KOL talks-vs-trades', path: '/en/kol' }]} />
<KolPageClient
initialPosts={posts?.items ?? null}
initialDigest={digest}
initialChanges={changes?.changes ?? null}
initialDivergence={divergence?.items ?? null}
/>
</>
)
}