akii-technologies-ltd/akii-seo-ai-search-optimizer/seo-audit
Claude Code and agent skill by akii-technologies-ltd/akii-seo-ai-search-optimizer
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Checking that the SKILL.md file is still in the repository.
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. `quick` mode = scorecard only, surface-level pass/fail. `technical` mode = infrastructure-only deep di…
Install
npx vskill@latest install akii-technologies-ltd/akii-seo-ai-search-optimizer/seo-auditSKILL.md
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:
- Explicit flag:
--mode=<full|quick|technical>anywhere in the user message. - Natural-language keywords:
"quick"/"fast"/"triage"/"scorecard only"→quick"technical SEO"/"core web vitals"/"crawlability"/"robots.txt"/"sitemap"/"JS rendering"/"hreflang"/"HTTPS"/"HSTS"/"mixed content"/"INP"/"LCP"/"CLS"/"TTFB"→technical"full audit"/"comprehensive"/"AEO readiness"/"GEO readiness"/"site audit"→full
- 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 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 datamcp__plugin_marketing_ahrefs__gsc-*— for real Google Search Console clicks, impressions, positionsmcp__plugin_marketing_ahrefs__site-audit-*— for real crawl issue data when availablemcp__Apify__*— for richer SERP scraping (Google, Bing)- PageSpeed Insights — if
AKII_PSI_KEYenv var is set, fetch real Core Web Vitals viaBash:
```bash curl -s "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=<url>&key=${AKII_PSI_KEY}&strategy=mobile&category=performance" \
`` 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+technicalonly —quickskips) - Pagination:
rel="next"/rel="prev"(deprecated by Google but still valid signal for some engines) (full+technicalonly)
Layer 2 — Indexation (runs in full, quick, technical)
noindexaudit — find pages that shouldn't be excluded- Canonical URLs set + consistent
- Canonical chain validation — no cross-domain canonical, no canonical loops (
full+technicalonly) - Hreflang correctness if multilingual (matches
/akii-seo-ai-search-optimizer:content-translation) (full+technicalonly) - 404 / soft-404 / 5xx patterns (
full+technicalonly) - 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+technicalonly): 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)
- Keywords in
h1andh2 - No empty headings
Layer 9 — Images (runs in full + quick, SKIPPED in technical)
- All
<img>havealt - Alt text descriptive (not
image1.png) - Modern formats (WebP, AVIF) or framework image optimization
- Width/height set to prevent CLS
Layer 10 — Structured data (runs in full + quick, SKIPPED in technical)
- JSON-LD schema markup present
- Schema type matches content
- Required + recommended properties filled
sameAslinking entity to Wikipedia, social, directories- For schema generation, delegate to
/akii-seo-ai-search-optimizer:schema-markup
Layer 11 — Internal linking (runs in full + quick, SKIPPED in technical)
- Anchor text descriptive (avoid "click here")
- Internal link depth ≤ 3 from homepage
- Orphan detection
- For full link-graph analysis, delegate to
/akii-seo-ai-search-optimizer:internal-linking
Layer 12 — AEO + GEO readiness (runs in full + quick, SKIPPED in technical)
Akii adds this — SEO tools don't.
- Direct-answer lead paragraph present on key pages?
- Chunks self-contained (could be lifted into ChatGPT/Perplexity answer)?
- 5–7 step checklists with imperative verbs?
- FAQ sections with FAQPage schema?
llms.txtexists at site root?- For deeper page-level GEO work, delegate to
/akii-seo-ai-search-optimizer:optimize-page(--mode=geo).
Output
Mode full output (default)
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/seo-audit/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
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