Agrici Daniel
Agrici Daniel is an individual AI Workflow Architect and Marketing Automation Expert who builds open-source AI systems for SEO, paid media, content, knowledge management, and marketing automation. He also teaches practical workflows through YouTube and the AI Marketing Hub community.
At a Glance
- SEO agencies
- In-house SaaS, publishing, and e-commerce marketing teams
- Freelance SEO consultants
- Developers and technical builders using Claude Code or OpenAI Codex
- +1 more
AI Tools by Agrici Daniel
(3)
Claude SEO
SEO Analysis Plugin for Claude Code
claude-obsidian
Claude Code Knowledge Plugin
Claude Ads
AI Ads Audit for Claude Code
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Latest News
claude-obsidian v2.1.1 released with legacy migration safety fixes and Windows/WSL guidance
Published DeepSeek Harness Explained, describing the evidence-gated Obsidian brain he built to vet the open-source agent framework
Published a walkthrough of automating YouTube keyword research with one Claude prompt and browser control
Released claude-blog v2.1.1 and documented what changed
Products & Services
Free MIT-licensed SEO toolkit/plugin for Claude Code with 25 sub-skills, 18 specialist agents, 32 commands, and optional extensions for technical SEO, content, schema, GEO/AI search, local SEO, links, performance, and more.
Source-grounded paid-media audit and planning system for Claude Code covering Google Ads, Meta Ads, Amazon Ads, YouTube, LinkedIn, TikTok, Microsoft Ads, and Apple Search Ads.
Research-first Claude Code skill for creating SEO-oriented blog content optimized for useful answers, organic search, and AI citations.
AI-powered Obsidian knowledge system with ingestion, retrieval, cross-references, linting, canvas workflows, and compound-memory capabilities.
Market Position
Daniel positions his work as free, inspectable, open-source, terminal-native alternatives to manual SEO/marketing workflows, agency spreadsheet processes, and conventional paid SEO, content, and advertising suites. The differentiation is parallel specialist agents, primary-source/evidence grounding, research-first content workflows, and MIT licensing rather than a closed SaaS-only product.
Leadership
Founders
Daniel Agrici
AI Workflow Architect and Marketing Automation Expert. Former agency client and developer who transitioned to building open-source AI marketing systems.
Executive Team
Daniel Agrici
AI Systems Architect & Founder
Specializes in building intelligent automation systems for SEO and digital marketing.
Benjamin Samar
Co-Founder & Technical Director (Rankenstein)
Leads SEO content architecture for B2B SaaS clients.
Founding Story
Daniel says he began exploring AI-powered marketing automation in 2024, building n8n workflows and integrating OpenAI, Gemini, and Claude into production systems. He started publishing open-source work in July 2025 to share practical automation workflows with developers and marketers; the stated initial vision was to replace repetitive, spreadsheet-heavy SEO and marketing work with inspectable, production-grade AI systems.
Business Model
Revenue Model
Open-source tools are distributed free under the MIT license. Monetization is through the AI Marketing Hub Pro paid community at $88/month and, separately, the managed Rankenstein.pro platform co-founded with Benjamin Samar.
Pricing Tiers
Public repositories are free to use, modify, and redistribute under the MIT license.
Free Skool community with starter kits, workflow templates, and peer support.
Production-ready automation blueprints, priority support, monthly live calls, and private community access.
Target Markets
- SEO agencies
- In-house SaaS, publishing, and e-commerce marketing teams
- Freelance SEO consultants
- Developers and technical builders using Claude Code or OpenAI Codex
- Agency owners, SEOs, marketers, and creators
- SEO agencies running recurring audits across client sites
- In-house SEO leads at SaaS, publisher, and e-commerce companies
- Freelance SEO consultants
- Developers, marketers, and agencies building AI-assisted marketing workflows
- Paid-media teams auditing Google, Meta, Amazon, YouTube, LinkedIn, TikTok, Microsoft, and Apple campaigns
- Content teams researching, drafting, reviewing, and publishing SEO articles
- AI Marketing Hub free community
- AI Marketing Hub Pro community
- 100+ agencies for which Rankenstein's about page says Daniel built automation systems