feat(seo/geo): WebSite+SearchAction, HowTo, DefinedTermSet, TechArticle, 20+ AI crawlers
SEO structured data (layout.tsx):
- WebSite schema with potentialAction/SearchAction → enables sitelinks
search box in Google results
- SoftwareApplication: added alternateName array, applicationSubCategory,
isAccessibleForFree, availability, screenshot, aggregateRating, expanded
featureList with specifics
- Organization: added logo, contactPoint
- HowTo schema (6 steps, estimatedCost $0, tools list) for "how to set up
Trump Alpha auto-trader" — gets HowTo rich result + cited by AI assistants
- DefinedTermSet in root layout (AHR999, Pi Cycle, Talks-vs-Trades, Funding
Reversal) — LLMs use this for entity definitions
- FAQPage: added 6 search-intent questions ("how do I auto trade trump tweets",
"bot that trades based on Trump posts", "how to know if KOL is dumping",
"best time to buy Bitcoin in bear market", "what is AHR999", "funding rate")
- All uses of siteUrl + today refactored to _base/_today constants
Per-page structured data:
- methodology/page.tsx: TechArticle JSON-LD (headline, about[], author, dateModified)
- glossary/page.tsx: DefinedTermSet with all terms + URL anchors per term;
buildGlossaryJsonLd() generates one DefinedTerm per entry; canonical fixed
to /en/ (was /${locale}/)
Missing metadata added:
- contact: metadata with robots noindex (no SEO value in contact form)
- privacy: metadata + canonical /en/privacy
- terms: metadata + canonical /en/terms
robots.ts — 20+ AI crawler rules:
Added: OAI-SearchBot, Google-Extended, Googlebot-Extended,
meta-externalagent, FacebookBot, Applebot, Applebot-Extended,
cohere-ai, MistralAI-User, YouBot, Brave, CCBot, Slurp, DuckDuckBot,
YandexBot. Now covers Gemini/Google AI Overviews, Meta AI, Apple Siri,
Cohere, Mistral, Brave Leo, and Common Crawl training datasets.
tsc + next build clean.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -294,7 +294,7 @@ export async function generateMetadata({
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description: copy.ogDescription,
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},
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alternates: {
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canonical: `${siteUrl}/${locale}/glossary`,
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canonical: `${siteUrl}/en/glossary`,
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languages: {
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en: `${siteUrl}/en/glossary`,
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'x-default': `${siteUrl}/en/glossary`,
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@@ -303,6 +303,29 @@ export async function generateMetadata({
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}
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}
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// Glossary JSON-LD: DefinedTermSet + individual DefinedTerm entries.
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// LLMs and Google's Knowledge Graph use this to understand what each term
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// means *in context of this product*, which improves citation accuracy when
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// users ask "what is [term]" in ChatGPT/Perplexity.
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function buildGlossaryJsonLd(terms: { term: string; definition: string; extra?: string }[]) {
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return {
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'@context': 'https://schema.org',
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'@type': 'DefinedTermSet',
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'@id': `${siteUrl}/en/glossary#termset`,
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name: 'Trump Alpha Crypto Glossary',
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url: `${siteUrl}/en/glossary`,
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description: 'Definitions of key terms, indicators, and signal concepts used in the Trump Alpha crypto intelligence platform.',
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inLanguage: 'en',
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hasDefinedTerm: terms.map(t => ({
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'@type': 'DefinedTerm',
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name: t.term,
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description: t.extra ? `${t.definition} ${t.extra}` : t.definition,
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url: `${siteUrl}/en/glossary#${t.term.toLowerCase().replace(/[^a-z0-9]+/g, '-')}`,
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inDefinedTermSet: `${siteUrl}/en/glossary#termset`,
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})),
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}
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}
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const CATEGORY_COLOR: Record<string, string> = {
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'Macro-bottom metric': '#a78bfa',
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'宏观底部指标': '#a78bfa',
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@@ -325,7 +348,15 @@ export default async function GlossaryPage({ params }: { params: Promise<{ local
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const copy = getCopy(locale)
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const categories = Array.from(new Set(copy.terms.map(t => t.category)))
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const enTerms = locale === 'en' ? copy.terms : getCopy('en').terms
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const glossaryJsonLd = buildGlossaryJsonLd(enTerms)
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return (
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<>
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<script
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type="application/ld+json"
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dangerouslySetInnerHTML={{ __html: JSON.stringify(glossaryJsonLd) }}
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/>
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<div className="page" style={{ maxWidth: 760 }}>
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<div className="page-head">
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<div>
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@@ -421,5 +452,6 @@ export default async function GlossaryPage({ params }: { params: Promise<{ local
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</p>
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</div>
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</div>
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</>
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)
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}
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