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Catalog/SEO Audit/SEO Internal Linking

SEO Internal Linking

Audit and improve a site's internal-linking topology and semantic HTML: map pillar/cluster structure, count and grade contextual in-body links and anchor text, surface orphan pages and nav-heavy templates, and propose specific source→target link insertions.

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212 installs

Install data from skills.sh

Uses shared files

This skill is one module of the author's Claude Code plugin and runs the plugin's shared scripts, which a single-skill install does not copy. For the full audit, install the plugin: run "/plugin marketplace add Hainrixz/claude-seo-ai", then "/plugin install claude-seo-ai@claude-seo-ai". That works in Claude Code only.

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About this skill

SEO Internal Linking is an SEO Audit skill for AI agents, published in the seoskills.sh catalog. Reach for it when your work involves full technical and on-page audits with prioritized action plans. Install it with one command and it runs inside your own agent, so the work happens in your workflow, not a separate SEO tool.

SKILL.md

seo-internal-linking (M10)

Internal links distribute crawl priority and topical authority and tell search engines (and AI crawlers) how your pages relate. Reference: references/schema-tier1.md for the entity/@id linkage this topology should mirror; M6/seo-entity-linking owns external sameAs.

Inputs

Work from the PageSnapshot named in your dispatch envelope: read parsed from <run_dir>/pages/<slug>.json (anchors[] with region/internal/anchor, landmarks) and the crawl graph in <run_dir>/crawl.json (graph.edges, pages[].inlinks, templates[]); Grep pages/<slug>.html for verbatim evidence; site artifacts live in <run_dir>/site/{robots.json,sitemaps.json,discovery.json}. Deterministic findings already emitted by audit.mjs are listed in <run_dir>/findings.deterministic.json — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs" and use the printed snapshot path.

Audits

Working from the PageSnapshot (parsed_rendered when render.used is not none, else parsed):

  1. Pillar/cluster topology: classify each URL (pillar hub vs. cluster page) and confirm clusters link up to their pillar and the pillar links down to its cluster — gaps break the hub-and-spoke model.
  2. Contextual in-body links: count links inside <main>/<article> prose (target ~3-5 descriptive in-content links per page); flag pages with zero in-body internal links.
  3. Anchor-text descriptiveness: flag generic anchors ("click here", "read more", "learn more", bare URLs) and over-optimized exact-match repetition; anchors should describe the destination.
  4. Orphan pages: list URLs in the sitemap/crawl with no incoming internal links from other crawled pages.
  5. Nav-vs-in-content ratio: flag templates where boilerplate nav/footer links overwhelm contextual links, diluting per-page link signal.
  6. Semantic HTML: check for <main>, <article>, <nav>, <header>, <footer>, one <h1>, and a logical heading order — semantic structure helps both parsers and accessibility.

Fixes

  • PROPOSED (fixable: proposed): concrete internal-link insertions — a specific source page, the target URL, the suggested anchor text, and the sentence/selector to attach it to — emitted as a unified diff for fix. These require per-item accept because auto-injecting body links can alter meaning, tone, or reading flow.
  • ADVISORY (fixable: advisory): wrapping content in semantic tags (<main>/<article>/<nav>) and heading-order corrections — described, never written by the tool, since they touch template structure.
  • Never invent target URLs, anchor wording, or topology you cannot observe in the snapshot/crawl — ask the user or leave a clearly-marked TODO placeholder. (Severity for this module's findings: 3.)

Verification

  • Per page: node "${CLAUDE_PLUGIN_ROOT}/scripts/link-graph.mjs" --snapshot <pages/<slug>.json> (or --url <u> / --file <path> --base <origin>) returns that page's link profile (verification.method: link_graph): total_links, internal_unique, external_unique, in_content_target, generic_anchors, empty_anchors, dropped. It does not compute topology from one page.
  • Site topology: read <run_dir>/crawl.json (graph.edges, pages[].inlinks, templates[]) — the crawl already built it. --crawl [--max 25] [--max-depth 3] [--no-robots] [--ua <preset>] runs a fresh shallow same-site crawl and adds a crawl block with potential_orphans (a crawled page with no inbound internal link from another crawled page; the start page is never one, and the script itself calls the list non-authoritative). Pillar/cluster judgement is model work on top of those edges, not a script output.
  • The full topology/orphan check needs a site-wide crawl tier. When that crawl data is unavailable, status is needs_api — never a false pass.

Findings

Emit findings per schema/finding.schema.json. Examples:

  • M10.contextual.too_few_inbody_links — fewer than ~3 contextual in-body links (status warn, severity 3, fixable: proposed, axis search, confidence directional).
  • M10.anchor.generic_text — anchor reads "click here"/"read more" (status warn, severity 3, fixable: proposed, axis search, confidence directional).
  • M10.orphan.no_incoming_links — page has no internal inlinks from the crawl (status fail, severity 3, fixable: advisory, axis search, confidence established).
  • M10.semantic.missing_main — no <main>/<article> landmark around primary content (status warn, severity 3, fixable: advisory, axis search, confidence directional). Each finding: evidence.observed quotes the page (the anchor text, the link count, the offending element); verification.reproduce is the runnable link-graph.mjs command above; expected_impact is banded + confidence-tagged (no naked percentages).

Honesty

  • A fixed "3-5 links per page" is a usability/structure heuristic, not a ranking law — treat the count as directional and never cap a score on it alone.
  • Exact-match anchor stuffing and "more links = more authority" are myths: relevance and editorial context matter more than raw count, and excess can look manipulative. Recommend links only where they genuinely help the reader.

Not using the CLI? Copy the SKILL.md and paste it straight into ChatGPT, Claude, or any agent.

View hainrixz/claude-seo-ai on GitHub

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