Run a site-wide SEO audit into a ranked PLAN.md: technical, content, links, local.

MITAuto-check passedMarketing & SEO

Install SEO Audit

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro seo-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-audit .claude/skills/seo-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-audit
GitHub stars
862
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
1,018 words
Files
3
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Run a site-wide SEO audit into a ranked PLAN.md: technical, content, links, local.

  • Works in 9 steps: Load brand context: Read… → Technical audit: Crawlability,… → On-page audit: Title tags, meta… → …
  • Tasks that involve SEO audit
  • SKILL.md covers Purpose, Input Required, Process and Output, plus 5 more sections
  • Calls python

What it does

SEO Audit is an agent skill from indranilbanerjee/digital-marketing-pro. Run a site-wide SEO audit into a ranked PLAN.md: technical, content, links, local. A single page → page-seo-analysis. "why did our traffic drop"

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `dimension-checklists.md` and `evals/evals.json`).

It sits in Marketing & SEO, covering SEO audit. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • Tasks that involve SEO audit

Example prompts

  • “why did our traffic drop”
  • “/seo-audit”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load…
  2. Technical audit: Crawlability, indexation, Core Web Vitals, mobile usability, structured data, HTTPS, XML sitemap, robots.txt, canonical…
  3. On-page audit: Title tags, meta descriptions, heading hierarchy, keyword usage, image alt text, internal linking structure, URL structure
  4. Content audit: Thin content, duplicate content, content gaps, freshness, E-E-A-T signals (author pages, citations, credentials, first-hand…
  5. Local SEO (if applicable): Google Business Profile, NAP consistency, local schema, reviews, local link profile
  6. Link profile: Domain authority, backlink quality, toxic links, anchor text distribution, link velocity, competitor link gap. Score the…
  7. Score each dimension on a 1-10 scale
  8. Prioritize findings by impact (high/medium/low) and effort (quick win/medium/major project)
  9. Generate the audit report with actionable recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit 9e949f3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • status.search.google.com
    • developers.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Audit loads about 2.4k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 1,018 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 1,018 words, ~2,400 tokens.

Download SKILL.mdSave it as .claude/skills/seo-audit/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
seo-audit
description
Run a site-wide SEO audit into a ranked PLAN.md: technical, content, links, local. A single page → page-seo-analysis. "why did our traffic drop"
argument-hint
[URL]

/digital-marketing-pro:seo-audit

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/.

Purpose

Perform a comprehensive SEO audit that evaluates a website across all major ranking dimensions. Produces a prioritized action plan with estimated impact and effort for each recommendation.

Algorithm-update context (read before triaging volatility)

Status as of 2026-10-04 (time-boxed — re-check after ~2026-12): per the Google Search Status Dashboard, the most recent core update began 21 May 2026 (completed after ~12 days). Since then Google has run only spam updates: the August 2026 spam update (18–21 Aug) and the September 2026 spam update (started 24 Sep; not yet marked complete on 2026-10-04). There was no September 2026 core update — several SEO blogs reported one; the dashboard lists none. Attribute only to updates the dashboard lists. Separately, Google's site reputation abuse policy has split at the EEA border since 30 Aug 2026: outside the EEA a manual action demotes the affected section; inside the EEA the section is separated and ranks on its own instead (Search Central) — word audit findings on third-party/"parasite" sections per region.

When an audit runs inside a listed update's rollout window (or the 4 weeks after) and the brand shows ranking volatility:

  • Do not make reactive changes during a rollout. Wait for the dashboard to mark the update complete, plus 7–14 days of settling, before drawing conclusions.
  • Diagnose direction before scope. A site-wide drop vs a single-section drop vs a single-template drop have very different root causes. Compare pre-rollout (21 days before the start date) vs in-rollout vs post-rollout impressions and clicks, segmented by page-group.
  • Match the response to the update type. Core updates re-weight existing quality signals — the answer is deeper E-E-A-T, unique value, and pruning thin/duplicated/AI-spam pages, not chasing rumoured signals. Spam updates target policy violations — check the affected pages against Google's spam policies (scaled content abuse, site reputation abuse, expired-domain abuse) before touching anything else.
  • Flag in the executive summary whether ranking deltas pre-date a listed update (likely site-specific issues) or coincide with one — this decides between quick wins and a multi-quarter quality program.

Input Required

The user must provide (or will be prompted for):

  • Website URL: The domain or specific pages to audit
  • Target keywords: Primary keywords the site should rank for (optional — can be researched)
  • Competitors: 2-3 competitor URLs for benchmarking (optional)
  • Audit scope: Full site or specific area (technical, content, local, links)
  • Known issues: Any existing problems the user is aware of

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Technical audit: Crawlability, indexation, Core Web Vitals, mobile usability, structured data, HTTPS, XML sitemap, robots.txt, canonical tags, redirect chains
  3. On-page audit: Title tags, meta descriptions, heading hierarchy, keyword usage, image alt text, internal linking structure, URL structure
  4. Content audit: Thin content, duplicate content, content gaps, freshness, E-E-A-T signals (author pages, citations, credentials, first-hand experience)
  5. Local SEO (if applicable): Google Business Profile, NAP consistency, local schema, reviews, local link profile
  6. Link profile: Domain authority, backlink quality, toxic links, anchor text distribution, link velocity, competitor link gap. Score the own-domain profile with the analyzer (feeds 05-link-profile.md):
    bash
    python "${CLAUDE_PLUGIN_ROOT}/scripts/link-profile-analyzer.py" \
        --file "${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-audit/{date}/links-export.json" \
        --brand-domain {brand-domain}
    (--file is a JSON array of link objects [{"url","anchor_text","domain","da","follow"}], or pass --links '<json>' inline; --brand-domain excludes internal links.) For competitor link-gap prospecting, hand off to /digital-marketing-pro:backlink-gap.
  7. Score each dimension on a 1-10 scale
  8. Prioritize findings by impact (high/medium/low) and effort (quick win/medium/major project)
  9. Generate the audit report with actionable recommendations

For the per-dimension checklists (incl. keyword research), the findings and action-plan table layouts, the after-audit follow-up menu, and the parallel-dispatch rules (independent dimensions concurrently; the action plan stays sequential), read dimension-checklists.md beside this file.

Show full SKILL.md (354 more words)Show less

Output

A structured SEO audit report containing:

  • Executive summary with overall health score
  • Technical SEO scorecard with specific issues and fixes
  • On-page optimization findings per page/template
  • Content quality assessment with gap analysis
  • E-E-A-T evaluation and improvement recommendations
  • Local SEO assessment (if applicable)
  • Link profile analysis with opportunities
  • Prioritized action plan sorted by impact-to-effort ratio

Numbered output convention

All audit outputs go to ${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-audit/{YYYY-MM-DD}/:

00-input.md                    target URL, audit scope, brand context, Core Update window flag
01-crawl-inventory.md          discovered URLs, status codes, redirect chains
02-technical-scorecard.md      Core Web Vitals, crawlability, schema validity (1-10 per dimension)
03-onpage-findings.md          per-template issues with affected URL list
04-content-quality.md          E-E-A-T, thin/duplicate, topical coverage
05-link-profile.md             own backlink health (hand off to backlink-gap for prospect work)
06-eeat-evaluation.md          author signals, expertise indicators, trust elements
07-local-seo.md                only if business profile.target_markets has local intent
08-quality-scorecard.md        the gates below — must pass for status: ready
09-prioritised-actions.md      impact × effort matrix, top 20 actions
PLAN.md                        single-page deliverable

Downstream skills (seo-implement, seo-plan, content-engine) consume PLAN.md and the relevant numbered file rather than re-querying.

Quality scorecard

GateWhat it checks
crawl_coverage≥ 90% of sitemap URLs successfully crawled (else input data is incomplete)
dimension_completenessScores filled for all 6 mandatory dimensions (technical, on-page, content, E-E-A-T, link, local-if-applicable)
finding_actionabilityEvery "high impact" finding has a named owner + effort estimate (else it's not actionable)
core_update_flag_setIf running inside a Core Update window, 00-input.md flags it AND PLAN.md carries the "wait 7-14 days before reactive changes" callout

status: ready requires all four gates pass.

Chain handoffs

  • Upstream: brand profile + (optional) prior tech-seo-audit, aeo-audit outputs
  • Downstream:
    • /digital-marketing-pro:seo-implement — applies the top-N findings to CMS / dev backlog
    • /digital-marketing-pro:seo-plan — consumes via dispatcher pillar scoring
    • /digital-marketing-pro:backlink-gap — for the link-prospect side that 05-link-profile.md only covers from the own-domain angle
    • /digital-marketing-pro:seo-drift — next quarter, compare two audit snapshots

Tips & caveats

  • Run during a Core Update? Mark it loudly in 00-input.md and don't recommend reactive changes. The audit findings stay valid; the timing of action does not.
  • Don't audit at the URL level for sites > 10k pages. Sample template-typically (cluster by template, audit one representative URL per template, generalise).
  • E-E-A-T scoring is judgement, not measurement. Two senior SEOs will disagree by ~1 point per dimension on the same site. Calibrate against the brand's industry: a 7/10 author signal is excellent for SaaS but minimum-viable for a YMYL health publisher.
  • Local SEO dimension only applies if the brand profile has business_model: local or target_markets includes specific geographies with physical service. Otherwise skip.
  • The link-profile dimension here is own-domain health (broken links, redirect chains, anchor-text distribution on inbound links). For competitor link-gap analysis, hand off to /digital-marketing-pro:backlink-gap — don't try to do both in this audit.

Agents Used

  • seo-specialist — All audit dimensions, scoring, prioritization, and recommendations

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/seo-audit of indranilbanerjee/digital-marketing-pro.

  • SKILL.md
  • dimension-checklists.md
  • evals/evals.json

Open the folder on GitHubat commit 9e949f3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT

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Categories

Questions about SEO Audit

What does SEO Audit do?

Run a site-wide SEO audit into a ranked PLAN.md: technical, content, links, local. SEO Audit is an agent skill from indranilbanerjee/digital-marketing-pro.md: technical, content, links, local.

When should I use SEO Audit?

SEO Audit fits situations like: tasks that involve SEO audit.

How do I install SEO Audit in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit -a claude-code`. Or copy the skill folder (skills/seo-audit in indranilbanerjee/digital-marketing-pro) into .claude/skills/seo-audit in your project. Claude Code loads it when a task matches its description.

How do I install SEO Audit in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit -a codex`. Or copy the skill folder (skills/seo-audit in indranilbanerjee/digital-marketing-pro) into .agents/skills/seo-audit in your project. Codex loads it when a task matches its description.

Can I use SEO Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-audit, .gemini/skills/seo-audit, .github/skills/seo-audit and .opencode/skills/seo-audit in your project.

What does SEO Audit need to run?

Going by SKILL.md and its folder, SEO Audit needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does SEO Audit access the network?

SKILL.md names 2 domains. As links in the text: status.search.google.com and developers.google.com. This is read from the text; nothing was executed.

Is SEO Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does SEO Audit use?

SEO Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO Audit use?

About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SEO Audit?

Skills that share tags, products or a category with SEO Audit: Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars), Google SEO APIs (AgriciDaniel/claude-seo, 19k stars), Evaluate Skill (every-app/open-seo, 23k stars) and FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Audit?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 862 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 9, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.