seo-report

SEO Report Generator — File-Persisted Reports

Generates complete, AI-analyzed SEO reports and saves them to disk as markdown files. Supports four report types: monthly, weekly, audit, and competitor. This is the first sub-skill in the project that uses the Write tool for file persistence.

References

@skills/seo/references/mcp-degradation.md @skills/seo/references/ahrefs-api-reference.md @skills/seo/references/gsc-api-reference.md

Inputs

• type: Report type — one of: monthly, weekly, audit, competitor (required)
• domain: The domain to report on, bare domain e.g. example.com (required).

Strip https://, http://, and trailing slashes.

• site (optional): GSC property URL for including Google Search Console data.

Format: https://example.com/ or sc-domain:example.com

• competitor (optional, required for competitor type): Competitor domain to

compare against, e.g. competitor.com

• output_dir (optional): Directory path to save the report file.

Default: current working directory (pwd).

MCP Check

Before proceeding, check MCP availability:

1. Ahrefs (required for all report types):

Use ToolSearch with query +ahrefs

• If tools returned → Ahrefs available, proceed
• If no tools returned → display Ahrefs error template from mcp-degradation.md and stop

1. GSC (optional — only if site parameter is provided):

Use ToolSearch with query +google-search-console

• If tools returned → GSC available, include GSC data in report
• If no tools returned → continue with Ahrefs-only, note missing GSC data in report

Execution

Step 0 — Generate Filename and Resolve Output Path

Use Bash to generate the absolute file path:

echo "$(pwd)/seo-report-$(date +%Y-%m-%d)-{domain}-{type}.md"

If output_dir is provided, replace $(pwd) with the provided directory path. Store this absolute path — it is used in Step 4 (Write) and Step 5 (confirmation).

Filename convention: seo-report-YYYY-MM-DD-domain-type.md Example: seo-report-2026-03-02-example.com-monthly.md

Step 1 — Gather Data (varies by report type)

For each tool call: if a rate-limit error or tool-not-found error occurs, log Data unavailable: {tool} — {error} and continue. The report notes all skipped data sources clearly.

Monthly Report Data

a) Ahrefs Overview:

• Call mcp__claude_ai_ahrefs__site-explorer-metrics with target: {domain}

Returns: organic_traffic, traffic_cost (CENTS — divide by 100), organic_keywords, backlinks, referring_domains

• Call mcp__claude_ai_ahrefs__site-explorer-domain-rating with target: {domain}

Returns: domain_rating (0-100), ahrefs_rank

b) Ahrefs Top Keywords:

• Call mcp__claude_ai_ahrefs__site-explorer-organic-keywords with target: {domain}

Request top 20 results. Returns: keyword, position, traffic, volume, difficulty.

c) Ahrefs DR History:

• Call mcp__claude_ai_ahrefs__site-explorer-domain-rating-history with target: {domain}

Request last 12 months. Returns: date series with domain_rating values.

d) GSC Month-over-Month (only if site provided and GSC available):

• Query query_search_analytics (or equivalent GSC tool discovered via ToolSearch)

for current month vs previous month. Compare: clicks, impressions, CTR, average position. CTR from GSC is a decimal — multiply by 100 for display (0.0523 → 5.23%).

Weekly Report Data

a) GSC Traffic Drops (only if site provided and GSC available):

• Query GSC search analytics for last 7 days vs prior 7 days.

Identify pages/queries with significant traffic decline (>20% drop). CTR is decimal — multiply by 100 for display.

b) GSC Opportunities (only if site provided and GSC available):

• Query GSC for queries with high impressions (>100/week) and low CTR (<5%).

These are quick-win opportunities. CTR is decimal — multiply by 100 for display.

c) Ahrefs New Referring Domains:

• Call mcp__claude_ai_ahrefs__site-explorer-referring-domains with target: {domain}

Filter or sort by date to surface domains added in the last 7 days. Note: If the tool lacks a native date filter, sort by first_seen descending and take entries from the last 7 days based on the first_seen field.

Audit Report Data

a) Ahrefs Overview:

• Same as Monthly step (a) above — site-explorer-metrics + domain-rating.

b) Ahrefs Backlinks:

• Call mcp__claude_ai_ahrefs__site-explorer-all-backlinks with target: {domain}

Request top 20. Returns: source URL, anchor text, DR of source, dofollow status.

c) Ahrefs Broken Backlinks:

• Call mcp__claude_ai_ahrefs__site-explorer-broken-backlinks with target: {domain}

Returns: source URLs linking to 404/gone pages — reclamation opportunities.

d) Ahrefs Anchor Analysis:

• Call mcp__claude_ai_ahrefs__site-explorer-anchors with target: {domain}

Returns: anchor text distribution — identify over-optimized exact-match patterns.

e) Ahrefs Top Pages:

• Call mcp__claude_ai_ahrefs__site-explorer-top-pages with target: {domain}

Request top 10. Returns: URL, organic traffic, keywords count, top keyword.

Competitor Report Data

a) Ahrefs Overview — Both Domains:

• Call site-explorer-metrics + domain-rating for BOTH {domain} and {competitor}.

Display side-by-side for comparison.

b) Ahrefs Organic Competitors:

• Call mcp__claude_ai_ahrefs__site-explorer-organic-competitors with target: {domain}

Returns: list of organic competitors with overlap metrics.

c) Ahrefs Content Gap:

• Call mcp__claude_ai_ahrefs__keywords-explorer-matching-terms with filters to

find keywords where competitor ranks but domain does not. Note: Use ToolSearch to discover this tool's exact parameter schema first if content-gap filtering is not straightforward.

d) Ahrefs Anchor Analysis — Both Domains:

• Call site-explorer-anchors for BOTH {domain} and {competitor}.

Compare anchor text strategies.

Step 2 — Generate AI Executive Summary

Before assembling the report, analyze ALL gathered data and write an executive summary paragraph of 3-5 sentences that:

1. Identifies the single most important finding from the data
2. Interprets what the data patterns mean for the domain's SEO health
3. Suggests one concrete priority action

This is NOT a raw data dump. It is Claude's analytical interpretation.

Example for monthly: "Domain authority has grown from DR 45 to DR 52 over the past 6 months, driven primarily by 340 new referring domains. However, organic traffic declined 12% month-over-month, suggesting a potential Google algorithm impact on the /blog section which lost 8 high-ranking positions. Priority: Investigate the traffic drop using /seo gsc drops for affected pages before making any content changes."

Step 3 — Assemble Report Document

Build the full markdown report with sections appropriate to the report type:

# SEO {Type} Report: {domain}
**Generated:** {date}
**Report Type:** {type}
**Data Sources:** {list of MCPs actually used, e.g. "Ahrefs, Google Search Console"}
**Covers:** {date range, e.g. "Last 30 days" or "Month-over-month comparison"}

---

## Executive Summary

{AI-generated narrative from Step 2}

---

## {Section per data source gathered — use appropriate headings per report type}

{Tables with actual data}

{For monetary values: ALL Ahrefs cost/value fields are in CENTS — divide by 100 and
display as $X,XXX before including in report}

---

## Data Gaps

{List any tools that were skipped due to errors or unavailable MCPs}
{If no gaps: "All requested data sources returned successfully."}

---
*Generated by /seo report — Claude SEO Skill*
*Data sources: {Ahrefs | Google Search Console | both}*
*Timestamp: {ISO 8601 timestamp}*

Step 4 — Save Report to Disk

Use the Write tool:

• file_path: the absolute path generated in Step 0
• content: the complete markdown report from Step 3

Step 5 — Confirm to User

After Wri