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seo-internal-linking

seo-internal-linking

github.com/hainrixzMarketing & growth79207 installsUpdated 3d ago
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About seo-internal-linking

A Claude skill for auditing a site's internal-link structure from page snapshots and crawl data. It identifies link and semantic-HTML issues and proposes specific fixes without inventing URLs or anchors.

Key features

  1. 01Pillar and cluster link checks
  2. 02Contextual in-body link audits
  3. 03Anchor text quality checks
  4. 04Orphan page and template checks
  5. 05Semantic HTML review
  6. 06Proposed link edits with evidence

Use cases

  1. 01Find pages without incoming internal links
  2. 02Review generic or repetitive anchor text
  3. 03Check links between pillar and cluster pages

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/hainrixz/claude-seo-ai --skill seo-internal-linking

After installing, type/seo-internal-linkingin Claude Code to confirm it loaded.

Details

From the project README

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.

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