Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Run a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO / Audit SEO menyeluruh (Technical, On-Page, Schema, Sitemap, E-E-A-T, GEO)
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
Comprehensive SEO audit covering technical SEO, on-page optimization, structured data, sitemaps, Core Web Vitals, E-E-A-T signals, and Generative Engine Optimization (GEO) for AI-powered search (Google AI Mode, ChatGPT Search, Perplexity).
robots.txt.| 2024 (Old) | 2026 (Current) |
|---|---|
| AI Overviews (SGE) | Google AI Mode — integrated AI answers |
| FID metric (deprecated) | INP (Interaction to Next Paint) |
| Keyword density focus | Topical authority + E-E-A-T |
| Backlinks only | Citations in AI responses |
robots.txt only | robots.txt + /llms.txt |
LCP (Largest Contentful Paint) < 2.5s
INP (Interaction to Next Paint) < 200ms ← replaced FID
CLS (Cumulative Layout Shift) < 0.1
TTFB (Time to First Byte) < 600ms
INP Optimization (the new critical metric):
// INP is degraded by long tasks blocking the main thread
// Solution: Use React's useTransition to defer non-critical updates
import { useTransition } from 'react';
function SearchInput() {
const [isPending, startTransition] = useTransition();
const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {
startTransition(() => {
// Defer the expensive filtering to not block INP
setFilteredResults(filterData(e.target.value));
});
};
return <input onChange={handleChange} />;
}
// Next.js 15 — metadata API for complete SEO
// app/layout.tsx
export const metadata: Metadata = {
metadataBase: new URL('https://myapp.com'),
title: {
default: 'My SaaS — One-line value proposition',
template: '%s | My SaaS',
},
description: '150 characters max. Include primary keyword naturally.',
openGraph: {
type: 'website',
url: 'https://myapp.com',
siteName: 'My SaaS',
images: [{ url: '/og.png', width: 1200, height: 630 }],
},
twitter: { card: 'summary_large_image', creator: '@handle' },
robots: { index: true, follow: true },
alternates: { canonical: 'https://myapp.com' },
};
// Dynamic sitemap.ts (Next.js App Router)
// app/sitemap.ts
import { MetadataRoute } from 'next';
export default async function sitemap(): Promise<MetadataRoute.Sitemap> {
const posts = await getBlogPosts();
return [
{ url: 'https://myapp.com', lastModified: new Date(), changeFrequency: 'weekly', priority: 1 },
{ url: 'https://myapp.com/features', lastModified: new Date(), changeFrequency: 'monthly', priority: 0.8 },
...posts.map(p => ({
url: `https://myapp.com/blog/${p.slug}`,
lastModified: new Date(p.updatedAt),
changeFrequency: 'monthly' as const,
priority: 0.6,
})),
];
}
<!-- Organization schema — establishes brand entity -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "My SaaS",
"url": "https://myapp.com",
"logo": "https://myapp.com/logo.png",
"sameAs": [
"https://twitter.com/myapp",
"https://linkedin.com/company/myapp"
],
"contactPoint": {
"@type": "ContactPoint",
"contactType": "customer support",
"email": "support@myapp.com"
}
}
</script>
<!-- SoftwareApplication schema for SaaS products -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "My SaaS",
"applicationCategory": "BusinessApplication",
"operatingSystem": "Web",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD",
"description": "Free tier available"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.8",
"reviewCount": "247"
}
}
</script>
Google AI Mode (formerly AI Overviews) now powers the top of search results:
| AI Engine | Source | Citable Content | Key Signal |
|---|---|---|---|
| Google AI Mode | Google index + Gemini | Yes — with source links | E-E-A-T, structured data |
| ChatGPT Search | Bing index + GPT-4o | Yes — with citations | Bing ranking, freshness |
| Perplexity | Real-time web crawl | Yes — prominent citations | Authority, specificity |
/llms.txt — AI Indexing ProtocolAdd an /llms.txt file at your domain root:
# /llms.txt
# AI-friendly site map for LLM indexers
## Product
- [Features](/features): Complete feature list with pricing
## Content
- [Blog](/blog): Technical articles
Follow this exact order for landing pages:
H1: One per page — primary keyword, compelling, < 60 chars
H2: Section headers — secondary keywords
H3: Sub-sections — long-tail keywords, FAQ answers
Meta Title: < 60 chars — keyword + brand
Meta Description: < 155 chars — keyword + CTA + benefit
URL: lowercase, hyphens, keyword-in-slug, < 5 segments
Images: Descriptive alt text, WebP format, lazy loading
Internal links: 3-5 per long-form page to related content
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Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
Audit SEO komprehensif mencakup SEO teknikal, optimasi on-page, data terstruktur, sitemap, Core Web Vitals, sinyal E-E-A-T, dan Generative Engine Optimization (GEO) untuk pencarian bertenaga AI (Google AI Mode, ChatGPT Search, Perplexity).
| 2024 (Lama) | 2026 (Sekarang) |
|---|---|
| AI Overviews (SGE) | Google AI Mode — jawaban AI terintegrasi |
| Metrik FID (dihentikan) | INP (Interaction to Next Paint) |
| Fokus kepadatan keyword | Otoritas topikal + E-E-A-T |
| Hanya backlink | Kutipan dalam respons AI |
Hanya robots.txt | robots.txt + /llms.txt |
Optimasi INP: Metrik kritis baru yang mengukur responsivitas interaksi. Gunakan useTransition React untuk menunda pembaruan non-kritis agar tidak memblokir thread utama.
Gunakan Metadata API Next.js 15 untuk SEO lengkap: title, description, openGraph, twitter, robots, alternates.canonical. Buat sitemap dinamis dengan app/sitemap.ts yang menyertakan semua halaman statis dan konten dinamis.
Tambahkan schema Organization untuk membangun entitas merek dan schema SoftwareApplication untuk produk SaaS — termasuk aggregateRating jika tersedia.
Google AI Mode (sebelumnya AI Overviews) dan Perplexity sangat menyukai format berikut:
/llms.txt sebagai indeks situs yang dapat dibaca AI.H1 satu per halaman, H2 untuk header seksi, meta title < 60 karakter, meta deskripsi < 155 karakter, URL lowercase dengan tanda hubung dan keyword di slug, alt text deskriptif untuk semua gambar, 3-5 internal link per halaman long-form.
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概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
日本語の概要は準備中です。原文の説明を表示しています。