Claude Skills for SEO

Skill 1: Technical SEO Audit

What it does: Performs a full site audit by taking a page's HTML source or a Screaming Frog export, and supports full site crawling for comprehensive technical SEO analysis. The audit covers title tag, meta description, H1-H3 hierarchy, schema markup, image alt text, internal links, canonical tag, and Core Web Vitals signals. It also includes search readiness checks and ongoing SEO drift monitoring to track changes in on-page SEO factors over time. Output is a prioritized action list, not a generic checklist.

Input needed: Paste the page HTML or Screaming Frog CSV. Optionally include target keyword and competitor URL for comparison.

Output: PASS/WARN/FAIL table with a one-line fix recommendation for every WARN and FAIL item, prioritized by ranking impact. The audit can help generate valid schema markup and diagnose indexing issues. Schema markup and structured data generated by the audit can help earn rich snippets in search results.

Best for: Comprehensive technical SEO audits, ongoing SEO health monitoring, weekly page audits, pre-publish checks, and client site reviews.

For a step-by-step workflow outside of Claude skills, use the 30-minute technical SEO audit checklist.

See the full audit workflow guide with copy-paste prompts for this skill.

Skill 2: Keyword Research and Clustering

What it does: Takes a seed keyword and generates a topic cluster map with intent labels (commercial, informational, navigational), suggested content formats, and a prioritized content calendar. Utilizes semantic clustering and semantic topic clustering to organize keywords for better search visibility and relevance. Also takes a bulk keyword export (up to 500 keywords) and groups them into logical clusters with primary and secondary keyword assignments per cluster. Intent-based keyword clustering is used to categorize large keyword lists by search intent, not just by shared text modifiers.

Input needed: One seed keyword for expansion, or paste a CSV of keywords from Google Keyword Planner, Ahrefs, or Semrush.

Output: Cluster map organized by topic pillar, with intent label, suggested URL, and content format for each cluster. The map is built using data-driven keyword and intent mapping, leveraging Google Search Console data to identify keyword gaps and enhance page performance.

Best for: Content strategy planning, new site architecture, topical authority building.

Skill 3: Content Brief Builder

What it does: Generates a complete, ready-to-assign content brief for any target keyword. Supports answer engine optimization by structuring content for featured snippets, voice search, and direct answers, using answer-first formatting and Direct-Answer Structural Editing to maximize zero-click traffic by placing the main answer in the first two sentences. Includes: recommended word count, H2 and H3 structure, must-cover subtopics, People Also Ask questions to answer, internal linking targets, and E-E-A-T signal requirements. Built for B2B and professional services content where generic AI briefs consistently underperform.

Input needed: Target keyword, business type, target audience, and optionally 2 to 3 competitor URLs to analyze.

Output: Full content brief document ready to hand to a writer or use directly in Claude for drafting, with guidance for Human-Tone writing to improve content quality.

Best for: Blog post planning, service page creation, content teams needing consistent brief quality.

Skill 4: Schema Markup Generator

What it does: Generates technically accurate, validated JSON-LD schema markup for any page type: Article, FAQPage, Service, Review, HowTo, LocalBusiness, Organization, Person, BreadcrumbList, and nested combinations. The skill produces structured data that supports building a knowledge graph, improving search relevance and contextual understanding for both search engine optimization and large language model outputs. The schema markup generator also aids in engine optimization by structuring content for AI features like featured snippets, voice search, and AI citation systems. Output can be pasted directly into a page head or validated with Google's Rich Results Test before deploying.

Input needed: Page type, page content, business details. Can also take existing schema and audit it for errors and missing fields.

Output: Valid JSON-LD block ready to implement. Zero hallucinated fields. Claude confirms schema.org compliance for each property.

Best for: Service pages, blog posts, FAQ pages, local business pages, case study pages.

See Prompts 26 to 31 in the 47 prompts guide for copy-paste schema prompts for every page type.

Skill 5: Internal Linking Audit

What it does: Takes your sitemap or a list of pages and performs internal linking optimization to improve crawlability and link equity. It identifies internal linking gaps: orphan pages with no inbound links, high-priority pages with too few internal links, anchor text over-optimization issues, and missed linking opportunities between topically related pages, following the Claude SEO audit playbook workflows. Output is a prioritized fix list with suggested anchor text for each new link.

Input needed: Paste your sitemap XML or page list. Optionally include the Screaming Frog internal links export for deeper analysis.

Output: Orphan page list. Top 10 link gap opportunities with suggested source page, target page, and anchor text for each.

Skill 6: GSC Quick-Win Analyzer

What it does: Takes your Google Search Console performance export (CSV) and leverages live SERP data by analyzing Google search results to identify the top quick-win opportunities: queries ranking between position 8 and 20 with 50+ impressions where a targeted content update could move the page to page one. Output includes the specific change recommended for each opportunity page, based on current search volumes and SERP trends.

Input needed: Export your GSC performance data as CSV (Performance tab, export button, last 90 days). Paste into Claude with this skill active.

Output: Top 10 quick-win pages ranked by opportunity size, with specific title tag, meta description, and content recommendations for each.

Best for: Monthly SEO reviews, client reporting, fast wins without building new content.

The GSC + Claude MCP setup guide connects this skill directly to live Search Console data without manual CSV exports.

Skill 7: GEO and AI Overview Optimization

What it does: Optimizes your content for AI search and AI-powered search engines by focusing on generative engine optimization (GEO) and answer engine optimization and overall search readiness. Evaluates your content from the perspective of how an LLM would extract and cite it, scoring each paragraph for extractability, identifying answer-first formatting gaps, flagging missing named statistics, checking for FAQPage schema, and evaluating entity authority signals. The skill helps design content to answer specific questions directly, using concise structured content and FAQ schema to improve chances of appearing in featured snippets and direct answers. Unique to Claude: it is the only free tool that evaluates your content from inside an LLM perspective.

Input needed: Paste your page content. Optionally include the target query you want to rank in AI Overviews for more specific recommendations.

Output: Citability score per section, specific rewrites for low-scoring paragraphs, schema additions needed, and a priority order for changes.

Best for: Any page where you want to appear in Google AI Overviews, ChatGPT search results, Perplexity citations, or other AI-powered search engines.

See the full AI Overviews citation guide for the complete 7-step implementation, plus this guide on building backlinks that get you cited by ChatGPT and Perplexity.

Skill 8: Competitor Content Gap Analyzer

What it does: Compares your content against 2 to 3 competitor pages on the same keyword to identify content gaps and performs content gap analysis by evaluating discrepancies between your existing content and competitors'. The skill systematically builds a search intent graph to understand audience interests and maps it against your existing content to identify content gaps and areas for improvement. This skill assesses content quality by examining factors such as readability, topical depth, keyword integration, and semantic relevance to ensure alignment with search intent. It generates a prioritized list of content gaps along with actionable recommendations to boost ranking potential and increase chances of AI citations.

Input required: Your page content along with content from 2 to 3 competitor pages, either pasted directly or retrieved via Perplexity.

Output provided: Gap analysis table highlighting topics competitors cover that your content lacks, with specific suggestions to add, expand, or deprioritize each gap.

This method helps identify low-competition, high-volume topics, offering valuable opportunities to strengthen your topical authority.