Seo plan
Skill indranilbanerjee/digital-marketing-pro/skills/seo-plan
Open-source AI marketing plugin for agencies & in-house teams — 158 skills, 25 specialist agents, 12-Part Strategy Flow, Cowork team-persistent, EU AI Act Article 50 ready, 6-platform AEO/GEO incl. Google AI Mode. Installs on Claude Code, Cowork, Codex, Cursor, Copilot CLI, Antigravity. MIT-licensed.
npx -y skills add indranilbanerjee/digital-marketing-pro --skill seo-planAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Build SEO strategy and roadmap. Use when: planning site architecture, content strategy, or phased implementation.
SKILL.md
14.7 KB, as published. Nobody here has run it
/digital-marketing-pro:seo-plan
Purpose
Generate a comprehensive SEO strategy with industry-specific templates, competitive analysis, content roadmap, and phased implementation plan. Covers both traditional SEO and AI search readiness.
Dispatcher mode (Confirm-Then-Dispatch)
When invoked on a brand that already has recent specialist outputs in ${CLAUDE_PLUGIN_DATA}/{brand}/seo/, this skill operates as an orchestrator — it reads those outputs as inputs, scores the brand across four pillars, and uses the weakest pillar to drive the lead theme of the plan.
Step D0 — detect fresh outputs (≤ 30 days)
Look under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/ for the latest dated subfolder of each:
| Specialist skill | Output folder |
|---|---|
/digital-marketing-pro:tech-seo-audit | seo/tech-seo-audit/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:content-decay-scan | seo/content-decay-scan/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:aeo-audit | seo/aeo-audit/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:backlink-gap | seo/backlink-gap/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:gsc-ai-performance | seo/gsc-ai-performance/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:keyword-cluster | seo/keyword-cluster/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:seo-drift | seo/seo-drift/{YYYY-MM-DD}/PLAN.md |
Any folder dated within the last 30 days counts as fresh — its PLAN.md becomes a primary input.
Step D1 — confirm before dispatching missing specialists
If some specialists have no fresh output, do not silently re-run them. Print exactly:
The following specialist outputs are missing or stale (>30 days old):
- tech-seo-audit (last: 2026-05-12 — 23 days old)
- backlink-gap (no run found)
- gsc-ai-performance (no run found)
Running these now will use approximately N MCP credits / API calls.
Run them now in this session? (y / N — default N)
- If
y— dispatch in this order:- Parallel batch 1:
tech-seo-audit,backlink-gap,aeo-audit,gsc-ai-performance(independent) - Sequential after:
content-decay-scan(depends ontech-seo-audit's URL inventory),keyword-cluster(depends onaeo-auditquery set) - Each specialist runs its own budget guard; surface aborts back to the user
- Parallel batch 1:
- If
Nor default — fall through; treat missing pieces as Phase 0 ("Discovery") work in the final plan
Step D2 — pillar scoring (the heart of the dispatcher)
Score each of four pillars 1–10 based on the available specialist outputs:
| Pillar | Sources | What 10 looks like |
|---|---|---|
| Technical | tech-seo-audit / gsc-ai-performance / Core Web Vitals data | Clean crawlability, all CWV pass, schema validates, sitemap accurate |
| Content | content-decay-scan / seo-audit / content-engine outputs | Topic coverage matches search demand, no cannibalisation, freshness ≥ 80% |
| Topical | keyword-cluster / aeo-geo / entity-audit | Clear pillar+spokes structure, entity consistency across Knowledge Graph |
| AI Search | aeo-audit / gsc-ai-performance / aeo-geo | Cited in AI Mode + AI Overviews + ChatGPT + Perplexity for target queries |
The lowest-scoring pillar becomes the LEAD THEME of the next quarter's plan. Everything else is supporting work. This forces focus.
Step D3 — dispatcher output
Produce ${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-plan/{YYYY-MM-DD}/00-pillar-scorecard.md:
Pillar scorecard for {brand} ({date})
=====================================
Technical : 8 / 10 ✓ healthy
Content : 6 / 10 ⚠ moderate gaps
Topical : 4 / 10 ⚠ LEAD THEME — weakest pillar
AI Search : 7 / 10 ✓ trending up
Lead theme this quarter: Topical authority build-out
(keyword cluster expansion + entity consistency + Knowledge Graph optimisation)
The rest of the plan (sections 1-6 below) is then framed around the lead theme — supporting work for the other 3 pillars stays in the plan but doesn't drive timeline / budget.
Numbered output convention
The full dispatcher run produces, under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-plan/{YYYY-MM-DD}/:
00-pillar-scorecard.md (from Step D2)
01-discovery.md (business type, audience, competitors — from §1 below)
02-competitive-analysis.md (competitors + gap synthesis — from §2 + backlink-gap if fresh)
03-architecture.md (URL hierarchy, internal-link strategy — from §3 + keyword-cluster if fresh)
04-content-strategy.md (content gaps, calendar, E-E-A-T — from §4 + content-decay-scan if fresh)
05-technical-foundation.md (hosting, schema, CWV — from §5 + tech-seo-audit if fresh)
06-roadmap.md (phased 12-month — from §6, framed around lead theme)
07-industry-template.md (which template applied — from §Industry Templates)
08-kpi-dashboard.md (metrics + cadence — what gets re-measured next drift)
PLAN.md (the deliverable)
Input Required
- Business type: SaaS, ecommerce, local service, publisher/media, agency, or general
- Website URL: Existing site (if any) to assess
- Target audience and markets: Geographic, demographic, and intent profiles
- Competitors: 3-5 competitor URLs for gap analysis
- Budget and timeline: Resource constraints
- KPIs: What success looks like (traffic, rankings, conversions, AI visibility)
Process
1. Discovery
- Business type, target audience, competitors, goals
- Current site assessment (if exists) — crawl health, content inventory, authority signals
- Budget and timeline constraints
- Key performance indicators (KPIs) aligned to business objectives
2. Competitive Analysis
- Identify top 5 competitors
- Analyze their content strategy, schema usage, technical setup
- Identify keyword gaps and content opportunities
- Assess their E-E-A-T signals
- Estimate domain authority and link profiles
- AI visibility comparison — which competitors appear in AI overviews
3. Architecture Design
- Design URL hierarchy and content pillars based on business model
- Plan internal linking strategy (hub/spoke, topic clusters)
- Sitemap structure with quality gates applied
- Information architecture for user journeys
- Navigation and breadcrumb planning
4. Content Strategy
- Content gaps vs competitors
- Page types and estimated counts
- Blog/resource topics and publishing cadence
- E-E-A-T building plan (author bios, credentials, experience signals)
- Content calendar with priorities
- AI-optimized content structure (entity consistency, citation-worthy formatting)
5. Technical Foundation
- Hosting and performance requirements
- Schema markup plan per page type
- Core Web Vitals baseline targets (LCP <2.5s, INP <200ms, CLS <0.1)
- AI search readiness requirements
- Mobile-first considerations
- International SEO setup (if applicable)
6. Implementation Roadmap (4 phases)
Phase 1: Foundation (weeks 1-4)
- Technical setup and infrastructure
- Core pages (home, about, contact, main services/products)
- Essential schema implementation (Organization, LocalBusiness, BreadcrumbList)
- Analytics and tracking setup (GA4, GSC, rank tracking)
Phase 2: Expansion (weeks 5-12)
- Content creation for primary pages
- Blog launch with initial posts
- Internal linking structure buildout
- Local SEO setup (if applicable)
- First E-E-A-T improvements (author pages, credentials)
Phase 3: Scale (weeks 13-24)
- Advanced content development (pillar pages, topic clusters)
- Link building and digital PR outreach
- GEO/AEO optimization for AI search visibility
- Performance optimization (CWV, page speed)
- Schema expansion (FAQ, Product, VideoObject as applicable)
Phase 4: Authority (months 7-12)
- Thought leadership content
- PR and media mentions
- Advanced schema implementation
- Continuous optimization based on data
- Competitive gap monitoring
Industry Templates
SaaS
- Primary pages: features, pricing, integrations, use cases, solutions by role
- Content pillars: product education, industry trends, comparison content, technical guides
- Schema focus: SoftwareApplication, Product, FAQPage (if eligible), HowTo (deprecated — use article format instead)
- Link strategy: integration partner pages, guest posts on tech blogs, product directories
Local Service
- Primary pages: services, service areas, about, contact, testimonials
- Content pillars: service guides, local area content, FAQ content, case studies
- Schema focus: LocalBusiness, Service, Review, BreadcrumbList, GeoCircle
- Link strategy: local directories, chamber of commerce, local press, community involvement
eCommerce
- Primary pages: categories, products, brands, collections, buying guides
- Content pillars: product education, comparison content, buying guides, trend content
- Schema focus: Product, ProductGroup, Offer, AggregateRating, BreadcrumbList, ItemList
- Link strategy: product reviews, affiliate partnerships, manufacturer relationships
Publisher/Media
- Primary pages: sections, topic pages, author pages, about, editorial standards
- Content pillars: news coverage, analysis, opinion, investigative, data journalism
- Schema focus: Article, NewsArticle, Person (authors), Organization, VideoObject
- Link strategy: original research citations, expert sourcing, data exclusives
Agency
- Primary pages: services, industries, case studies, team, methodology
- Content pillars: industry expertise, methodology content, case studies, thought leadership
- Schema focus: Organization, Service, Person (team), Article
- Link strategy: case study features, speaking engagements, industry publications, client co-marketing
Output
Deliverables
- SEO Strategy Document: Complete strategic plan with business context, competitive landscape, and strategic direction
- Competitive Analysis: Keyword gaps, content gaps, authority comparison, AI visibility comparison
- Content Calendar: 12-week content roadmap with topics, formats, keywords, and publishing schedule
- Implementation Roadmap: Phased action plan with milestones, responsibilities, and measurement checkpoints
- Site Architecture Plan: URL hierarchy, content pillar structure, internal linking strategy
- Schema Markup Plan: Per-page-type schema recommendations with JSON-LD templates
- KPI Dashboard Specification: Metrics to track, tools needed, reporting cadence
Agents Used
- seo-specialist — Strategy, competitive analysis, technical planning
- content-creator — Content strategy and calendar planning
- competitive-intel — Competitor analysis and gap identification
- marketing-strategist — Business alignment and KPI framework
Scripts Used
- competitor-scraper.py — Competitor site analysis
- tech-seo-auditor.py — Current site technical assessment
- keyword_cluster.py — Keyword clustering with SERP-overlap + quality scorecard (use via
/digital-marketing-pro:keyword-cluster) - content-scorer.py — Current content quality baseline
Quality scorecard
Every PLAN.md this skill produces must pass these gates before being declared ready:
| Gate | What it checks |
|---|---|
| lead_theme_named | 00-pillar-scorecard.md exists and names exactly one weakest pillar as lead theme |
| specialist_coverage | At least 3 of the 7 specialist sources have fresh outputs (≤30 days) |
| roadmap_phased | Roadmap has explicit Phase 1/2/3/4 dates with owners |
| kpi_attached | 08-kpi-dashboard.md lists ≥3 lagging + ≥3 leading metrics |
| drift_re-measure_scheduled | The KPI dashboard includes a recurring seo-drift cadence (default: quarterly) |
If any gate fails, surface the failure prominently in PLAN.md rather than silently shipping. (The dispatcher is skill-driven — there is no separate orchestrator script; the gate check is part of assembling PLAN.md.)
Chain handoffs
This skill is both a consumer (of specialists) and a producer (of the master plan):
Upstream (specialists this skill reads from):
/digital-marketing-pro:tech-seo-audit/digital-marketing-pro:content-decay-scan/digital-marketing-pro:aeo-audit/digital-marketing-pro:backlink-gap/digital-marketing-pro:gsc-ai-performance/digital-marketing-pro:keyword-cluster/digital-marketing-pro:seo-drift
Downstream (skills that consume this plan):
/digital-marketing-pro:content-engine— drafts the content scheduled in04-content-strategy.md/digital-marketing-pro:campaign-plan— turns the roadmap into a sprint plan with owners/digital-marketing-pro:performance-report— re-measures against08-kpi-dashboard.mdcadence
Tips & caveats
- The dispatcher's default is not to dispatch. If specialists are missing, the default answer is
N— list them as Phase 0 work. Only auto-dispatch on explicity. This prevents accidental credit / API spend. - Pillar scoring is opinionated, not measured. A
4/10Topical pillar means "we don't have a clear authority structure", not "Google said so". The numbers are heuristic. Use them to focus the lead theme, not as KPIs. - The lead theme should change quarterly. If the same pillar wins lead theme two quarters in a row, either the work isn't moving the needle (escalate) or the scoring is wrong (recalibrate with current data).
- Don't run this on Day 1 of an engagement. Run the specialists first so the dispatcher has fresh inputs. The first
seo-planrun on a new brand will mostly be Phase 0 (Discovery) work. - For YMYL clients, add E-E-A-T as a 5th pillar manually (the standard 4-pillar scoring doesn't separately weight authority signals).
- The 30-day freshness window is a default, not a rule. For high-velocity industries (news, SaaS launches), shorten to 14 days. For slow-moving categories (manufacturing, B2B services), 60 days is fine.
Context efficiency
This skill's reference docs (skills/<this-skill>/*.md) sum to ~30-50KB. Don't load them eagerly — pick targeted sections:
- Grep before Read. Find the keyword or section heading first, then Read with
offset+limitto pull just that range. - Walk
${CLAUDE_SKILL_DIR}once. Use a single directory listing to see what's there, then Read only the files that match your current step. - One source at a time. If the workflow says "consult three reference files," read them sequentially after deciding what you need from each. Bulk-loading all three blows the per-skill 5K-token budget that auto-compaction reserves.
- Strip noise from CSV inputs. If the input is a large CSV, grep the header line first to pick columns, then process row-by-row — do not Read the whole file into context.