claude-obsidian vs Claude SEO
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A free plugin that makes Claude Code build a linked Markdown wiki in your Obsidian vault.
Open source · MIT
A Claude Code plugin that runs SEO audits on a website and produces an action plan.
The short answer
Choose claude-obsidian if you need…
- People who already use Obsidian and want an AI assistant to organize incoming notes
- Users comfortable running Claude Code in a terminal
- Anyone who wants their notes kept as plain Markdown files they own
- Researchers who want answers with citations drawn from their own vault
Choose Claude SEO if you need…
- SEO consultants who want a quick first-call audit with a prioritized fix list
- In-house SEO teams that want a second review before publishing or site changes
- Agencies that want recurring audits and change monitoring for clients
- Developers who already use Claude Code and want SEO checks inside it
Side-by-side
| claude-obsidian | Claude SEO | |
|---|---|---|
| Type | Dev tool | Dev tool |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 16.1k | 25.8k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Clone and build from source |
| Main language | Python | Python |
| Last code update | 12 days ago | 6 days ago |
What each one is
claude-obsidian
claude-obsidian is a plugin for Claude Code that works with Obsidian, a note-taking app. You drop sources such as articles, papers or notes into an inbox folder, and Claude reads them, writes linked notes with source references, and files them into one connected graph of plain Markdown files stored on your own computer. It is based on Andrej Karpathy's LLM Wiki pattern as described in the README.
Claude SEO
Claude SEO is an open-source plugin for Claude Code, Anthropic's coding assistant. You point it at a website and it runs an SEO audit covering technical health, content quality, structured data, and how likely AI search tools are to cite your pages. The README says a full audit takes 10 to 15 minutes and ends with a prioritized action plan. It is built from 26 sub-skills and 19 specialist agents.
Best for
claude-obsidian
- People who already use Obsidian and want an AI assistant to organize incoming notes
- Users comfortable running Claude Code in a terminal
- Anyone who wants their notes kept as plain Markdown files they own
- Researchers who want answers with citations drawn from their own vault
Claude SEO
- SEO consultants who want a quick first-call audit with a prioritized fix list
- In-house SEO teams that want a second review before publishing or site changes
- Agencies that want recurring audits and change monitoring for clients
- Developers who already use Claude Code and want SEO checks inside it
Strengths
claude-obsidian
- Notes stay as plain Markdown files on your computer, with no telemetry described in the README
- Originals in inbox/ are kept untouched so summaries can point back to sources
- MIT licensed and free, with a health-check skill for keeping the vault tidy
Claude SEO
- Free and MIT licensed, with the source code public on GitHub
- Covers a wide range of SEO areas in one tool, from technical checks to AI search and reporting
- Commands are documented in the README with clear descriptions
Not ideal for
claude-obsidian
- People who do not use Claude Code, since the plugin is built for it (other hosts are listed but need extra setup)
- Windows users who want to write to the vault natively, since the README says WSL is needed for writes
- Anyone wanting a hosted, cloud-synced note app, since the README stresses local files and no cloud database
Claude SEO
- People without Claude Code, since the README presents it as a Claude Code plugin
- Users who need live search data without setting up optional extensions, which the README describes as separate and optional
- Anyone expecting guaranteed rankings; the README makes no such promise and the audit is advisory
Trade-offs
claude-obsidian
- Requires Claude Code and Python 3.11 or newer, so it has setup costs and an ongoing AI tool dependency
- The README says Windows writes need WSL, which adds friction on that platform
- The README's own feature list is long (15 skills, 3 agents); some pieces are optional and not fully explained in the truncated text
Claude SEO
- Requires a Claude Code setup, so it is not a standalone app
- Optional extensions for live SEO data are extra setup beyond the core plugin
- Results shown in the README, such as traffic numbers, are from the project's own site and are not a general guarantee
Getting started
claude-obsidian
Add the plugin marketplace
claude plugin marketplace add AgriciDaniel/claude-obsidianInstall the plugin
claude plugin install claude-obsidian@agricidaniel-claude-obsidianClaude SEO
Clone the repository
git clone https://github.com/AgriciDaniel/claude-seoFrequently asked questions
What is the difference between claude-obsidian and Claude SEO?
claude-obsidian: A free plugin that makes Claude Code build a linked Markdown wiki in your Obsidian vault. Claude SEO: A Claude Code plugin that runs SEO audits on a website and produces an action plan. claude-obsidian suits people who already use obsidian and want an ai assistant to organize incoming notes, while Claude SEO suits seo consultants who want a quick first-call audit with a prioritized fix list.
Are claude-obsidian and Claude SEO free?
claude-obsidian: Free and open source. Claude SEO: Free and open source.
Is claude-obsidian or Claude SEO more popular?
Claude SEO has more GitHub stars (25.8k) than claude-obsidian (16.1k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to claude-obsidian and Claude SEO?
Other options people compare them with include book-to-skill, Understand Anything, codebase-memory-mcp, code-review-graph, Trail-code.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.