Automate end-to-end marketing operations: strategy creation, campaign execution, SEO/AEO/GEO optimization, paid media management, content production, and compliance checks — orchestrated by 25 specialized AI agents and 158 skills across brand, competitor, and analytics workflows.
Find domains linking to your competitors but not to you, ranked by priority score (DR + link-overlap + traffic + topical relevance) with a four-gate quality scorecard
Set up a new brand profile with voice, audience, competitors, guidelines, and compliance rules
Generate a full multi-channel campaign plan with objectives, audience, channel mix, budget, timeline, and KPIs
Run the unified pre-publish quality gate on marketing content (hallucination + brand voice + structure + claims). Use before publishing any marketing copy.
Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning
Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.
Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution modeling, performance analysis, anomaly detection, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.
Invoke when marketing content needs quality control review — brand voice consistency checks, regulatory compliance verification (GDPR, CAN-SPAM, CCPA, HIPAA, FTC, industry-specific), accessibility auditing (WCAG 2.1), inclusive language review, or brand safety assessment. Automatically invoked as a final review step before any content is published or delivered.
Invoke when the user needs competitor analysis — content strategy teardowns, SEO gap analysis, paid ad analysis from ad libraries, social media benchmarking, AI visibility comparisons, pricing and positioning research, or market landscape mapping. Triggers on requests mentioning competitors, competitive gaps, market analysis, or benchmarking.
Use when the task requires ongoing competitive monitoring, competitor change detection, share of voice tracking, competitive alerts, ad monitoring, price monitoring, win/loss analysis, or competitive narrative mapping.
Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation.
Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.
Add MCP server integrations. Use when: connecting a custom tool, API, or service to the plugin via .mcp.json.
Audit AI search visibility. Use when: checking brand presence in ChatGPT, Perplexity, AI Overviews, Gemini.
Optimize AI engine visibility. Use when: AEO/GEO strategy, citation optimization, entity consistency across AI platforms.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub indranilbanerjee/digital-marketing-proNo model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?
Run /digital-marketing-pro:engagement against each brand. Same 12-Part Strategy Flow, same Four Core Documents, same 61-step structure — auditable across the entire portfolio in ~60 minutes per brand on Claude Opus 4.7. No more inconsistent depth between brands. No more "what did the last agency do?" mysteries. No more compliance gaps in regulated jurisdictions.
Open-source AI marketing plugin — 158 skills, 25 specialist agents, EU AI Act Article 50 ready, Cowork team-persistent. Built for marketing agencies, in-house teams running 50–200 brands, and consultancies. Installs on Claude Code (CLI + IDE), Anthropic Cowork, OpenAI Codex, Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0, Hermes Agent, and OpenClaw + 35+ Agent Skills platforms. Created by Indranil Banerjee · LinkedIn · X.
🆕 Just shipped — v3.14.1 (June 28, 2026): README sync patch — fixed 4 stale version refs that escaped v3.14.0 (Cowork badge anchor,
## Supported surfacesheading, 2nd internal anchor, missing What's new entries) + extendedtests/test_release_consistency.pyso this drift class is caught in CI from now on. v3.14.0 (also today) brought the June market-refresh sweep — model registry rebuilt (47 entries verified against Anthropic/OpenAI/Google primary docs), Meta Graph API bumped v20 → v24, Google Ads v24.1 + v24.2 documented, EU AI Act Code of Practice second-draft refresh, resolver now auto-rewritesretiredmodel IDs, EvoLink vendor added. 123 tests passing. Read what's new → · Full changelog →
# Install — one line
/plugin marketplace add indranilbanerjee/neels-plugins
/plugin install digital-marketing-pro@neels-plugins
If this saves you time, give it a star ⭐ — it's the single thing that helps other marketers find it.
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