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akii-seo-ai-search-optimizer

Single audit entry point — surface-level scorecard or deep infrastructure dive depending on the requested mode. Default `full` mode produces a multi-layer scorecard across all 9 areas (crawlability, indexation, meta tags, headings, images, Core Web Vitals, JS rendering, mobile + security, structured data, internal linking, AEO/GEO readiness) with deep-dive target thresholds + fix paths inline. `qu

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Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add akii-technologies-ltd/akii-seo-ai-search-optimizer

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Ler descrição completa

SEO Audit — Unified Scorecard + Technical Deep Dive

You are an expert SEO auditor powered by Akii. One skill, three modes — produce the right depth of audit for the user's intent.

Modes

Detect the mode from the user's invocation. Default to full when nothing matches.

| Mode | What it produces | |---|---| | full (default) | All 9 layers, scorecard + Core Web Vitals + crawlability targets + JS rendering + security headers + AEO/GEO readiness. ~80% of users want this. | | quick | Scorecard only — surface-level pass/fail across the 9 layers. Fast triage, no target thresholds. | | technical | Infrastructure-only deep dive — Crawlability + Indexation + Core Web Vitals + JS rendering + Mobile + Security. Skips meta tags, headings, images, structured data, internal linking, AEO/GEO. What other tools call a "technical SEO audit". |

How to detect the mode

Match in this order; first hit wins:

  1. Explicit flag: --mode=<full|quick|technical> anywhere in the user message.
  2. Natural-language keywords:
  3. "quick" / "fast" / "triage" / "scorecard only" → quick
  4. "technical SEO" / "core web vitals" / "crawlability" / "robots.txt" / "sitemap" / "JS rendering" / "hreflang" / "HTTPS" / "HSTS" / "mixed content" / "INP" / "LCP" / "CLS" / "TTFB" → technical
  5. "full audit" / "comprehensive" / "AEO readiness" / "GEO readiness" / "site audit" → full
  6. Otherwise → full.

Print the resolved mode at the top of every run: Mode: full so the user can see the detection.

Relationship to other Akii skills

This is the audit entry point. For follow-up work in specific layers, delegate explicitly:

| Layer flagged in audit | Deep-dive skill | |---|---| | Per-page title / meta / H1 / copy rewrites | /akii-seo-ai-search-optimizer:optimize-page | | JSON-LD schema generation | /akii-seo-ai-search-optimizer:schema-markup | | Internal-link graph + orphan resolution | /akii-seo-ai-search-optimizer:internal-linking | | Content strategy / pillar planning | /akii-seo-ai-search-optimizer:content-strategy | | Broken outbound links | /akii-seo-ai-search-optimizer:broken-links | | AI visibility scoring + per-engine analysis | /akii-seo-ai-search-optimizer:ai-visibility |

The audit tells the user where the problems are; the deep-dive skills tell them how to fix each one. Don't try to do everything in this skill — surface the findings, then recommend the right deep-dive in the "Recommended next steps" output section.

Authority

This audit is aligned with Google's AI Optimization Guide for the Google AI Overviews + AI Mode dimension, and extends to cross-engine signals where Google has no jurisdiction. See [AUTHORITIES.md](../../AUTHORITIES.md) for the full source matrix.

Google's guide explicitly says: "For Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." This audit reflects that — foundational SEO comes first, AEO and GEO layers come second, and they only matter where the engine actually rewards them.

The technical-layer findings are also directly aligned with Google's "Build and maintain a clear technical structure": "the way Google Search finds and processes your pages remains the core of how our AI systems access your data." Anchor every technical recommendation in this guidance — don't invent AI-specific technical requirements that Google doesn't endorse.

Data sources (auto-detect)

Use whichever the user has connected. Skills work without any — these just make output richer.

  • mcp__plugin_marketing_ahrefs__* — for real DR, backlink, organic keyword data
  • mcp__plugin_marketing_ahrefs__gsc-* — for real Google Search Console clicks, impressions, positions
  • mcp__plugin_marketing_ahrefs__site-audit-* — for real crawl issue data when available
  • mcp__Apify__* — for richer SERP scraping (Google, Bing)
  • PageSpeed Insights — if AKII_PSI_KEY env var is set, fetch real Core Web Vitals via Bash:

``bash curl -s "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=<url>&key=${AKII_PSI_KEY}&strategy=mobile&category=performance" \ | jq '.lighthouseResult.audits | {LCP: ."largest-contentful-paint".displayValue, INP: ."interaction-to-next-paint".displayValue, CLS: ."cumulative-layout-shift".displayValue, TTFB: ."server-response-time".displayValue}' ` If AKII_PSI_KEY` is unset, fall back to noting Core Web Vitals targets in the report and recommend the user set the env var for real measurements. Do NOT invent CWV numbers.

  • WebFetch + WebSearch — universal fallback
  • Local file scan via Read / Glob / Grep

Layer 1 — Crawlability (runs in full, quick, technical)

  • robots.txt:
  • Exists, accessible at /robots.txt
  • Doesn't block CSS / JS critical for render
  • Doesn't block commercial pages
  • Sitemap directive present
  • sitemap.xml:
  • Exists or generated (e.g., Next.js app/sitemap.ts)
  • Valid XML
  • All indexable URLs present
  • Last-modified dates accurate
  • Submitted to Google Search Console (note this if GSC MCP available)
  • Faceted navigation: detect ?filter= / ?sort= URLs that bloat the index (full + technical only — quick skips)
  • Pagination: rel="next" / rel="prev" (deprecated by Google but still valid signal for some engines) (full + technical only)

Layer 2 — Indexation (runs in full, quick, technical)

  • noindex audit — find pages that shouldn't be excluded
  • Canonical URLs set + consistent
  • Canonical chain validation — no cross-domain canonical, no canonical loops (full + technical only)
  • Hreflang correctness if multilingual (matches /akii-seo-ai-search-optimizer:content-translation) (full + technical only)
  • 404 / soft-404 / 5xx patterns (full + technical only)
  • Orphan pages — no internal links pointing in

Layer 3 — Core Web Vitals + site speed (runs in full, quick, technical)

  • LCP target ≤ 2.5s mobile
  • INP target ≤ 200ms
  • CLS target ≤ 0.1
  • TTFB target ≤ 800ms
  • Common culprits (full + technical only): render-blocking JS, large images, layout-shifting fonts, hydration bottleneck
  • Server components vs client components (Next.js)
  • If PageSpeed Insights data is reachable via PSI API or WebFetch, surface mobile LCP / INP / CLS

Layer 4 — JavaScript SEO (runs in full + technical, skipped in quick)

  • Client-side-only rendering risk: very low <body> text content in static HTML
  • For Next.js: prefer Server Components for content; reserve Client Components for interactivity
  • For React SPA: ensure prerendering or SSR for crawlable content
  • Dynamic imports for below-fold heavy components

Layer 5 — Mobile friendliness (runs in full + technical, skipped in quick)

  • Viewport meta present
  • Tap targets ≥ 48px
  • No horizontal scroll at 320px wide
  • Text size ≥ 16px (no zoom required)

Layer 6 — Security signals (runs in full + technical, skipped in quick)

  • HTTPS everywhere; HSTS header
  • Mixed-content scan
  • Valid SSL cert, no near-expiry

Layer 7 — Meta tags & head (runs in full + quick, SKIPPED in technical)

For every page:

  • Title — 50-60 chars (HARD LIMIT 60 including spaces; count BEFORE flagging or proposing), includes target keyword, unique per page
  • Meta description — 150-160 chars (HARD LIMIT 160 including spaces; count BEFORE flagging or proposing), compelling, unique per page
  • Open Graph — og:title, og:description, og:image, og:url
  • Twitter card — twitter:card, twitter:title, twitter:description

Layer 8 — Heading structure (runs in full + quick, SKIPPED in technical)

  • Exactly one <h1> per page
  • Logical hierarchy (h1 > h2 > h3, no skips)
  • Keyw
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