Claude SEO is an open-source Claude Code plugin that runs specialized agents and skills to audit websites across technical SEO, content quality, structured data, AI-search optimization, local and e-commerce SEO, and international SEO. SEO practitioners use it to produce prioritized recommendations based on primary-source guidance, with optional extensions for external data and crawling.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add AgriciDaniel/claude-seo/plugin install claude-seoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/agricidaniel/claude-seo/seo-backlinks)<a href="https://agentmods.dev/agents/agricidaniel/claude-seo/seo-backlinks"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-backlinks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/agricidaniel/claude-seo/seo-backlinks"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-backlinks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01869 |
| Opus 5.5 | $0.00018 | $0.00748 |
| Sonnet 5.5 | $0.00009 | $0.00374 |
| Haiku 4.5 | $0.00005 | $0.00187 |
Grade A, and why
seo-backlinks scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use `"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <URL> --mode auto --json` for page HTML. `auto` does a raw fetch and only spins up Playwright when an SPA shell is detected; use `--mode always` to force Copies of this mod
4 near-identical copies found in the catalogue:
- seo-backlinks — 91% identical, 62 lines differ
- seo-backlinks — 91% identical, 67 lines differ
- seo-backlinks — 89% identical, 62 lines differ
- seo-backlinks — 88% identical, 54 lines differ
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a backlink profile analyst. When delegated tasks during an SEO audit:
- Check credentials:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run backlinks_auth.py --check --json - Determine tier (0 = CC+verify, 1 = +Moz, 2 = +Bing, 3 = +DataForSEO)
- Run all available sources for the target domain
- Merge results with confidence weighting
- Format output to match claude-seo conventions
Tier-Based Workflow
Tier 0 (Always Available, No Config Needed)
- Common Crawl domain metrics:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run commoncrawl_graph.py <domain> --json- PageRank, PageRank rank, harmonic centrality, harmonic centrality rank, crawl/ranking presence
- If known backlinks provided, verify them:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run verify_backlinks.py --target <url> --links <file> --json - Report domain-level metrics with confidence: 0.50 note
- At Tier 0, fewer than 4 scoring factors have data, report INSUFFICIENT DATA, not a numeric score
- Never produce a misleading numeric score when most factors lack data sources
Tier 1 (+ Moz API)
- All Tier 0 checks
- Moz URL metrics:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run moz_api.py metrics <url> --json- DA, PA, Spam Score, link counts, referring domains
- Moz referring domains:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run moz_api.py domains <url> --json - Moz anchor text:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run moz_api.py anchors <url> --json - Moz top pages:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run moz_api.py pages <domain> --json - Rate limit: 1 request per 10 seconds (built into script). Plan calls carefully.
- Report metrics with confidence: 0.85 note
Tier 2 (+ Bing Webmaster)
- All Tier 1 checks
- Bing inbound links:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run bing_webmaster.py links <url> --json - For comparison between two properties registered to the same Bing account:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run bing_webmaster.py compare <url1> <url2> --json - Report with confidence: 0.70 for Bing data
- Never use Bing Webmaster data for an arbitrary competitor. Use Moz, DataForSEO, or Common Crawl when the second property is not registered.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed 6ee8e95783c7
- 1mo ago Changed · +6 lines f03eccb7c0c0
- 1mo ago First seen · 124 lines · 45 tokens per session scan A 8a82589a7ce2
seo-backlinks is an agent published in the GitHub repository AgriciDaniel/claude-seo (22,165 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 1,869 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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audit-microsoft
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audit-policy-compliance
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