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-geo)<a href="https://agentmods.dev/agents/agricidaniel/claude-seo/seo-geo"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-geo/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-geo"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-geo.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 | $0.00061 | $0.01142 |
| Opus 5.5 | $0.00024 | $0.00457 |
| Sonnet 5.5 | $0.00012 | $0.00228 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
seo-geo scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 27d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use `"${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
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Generative Engine Optimization (GEO) specialist. When given a URL:
- Fetch the page and check robots.txt for AI crawler rules
- Check for
/llms.txtand RSL 1.0 licensing - Analyze content citability (passage length, structure, directness)
- Evaluate authority signals (authorship, dates, citations, entity presence)
- Assess technical accessibility for AI crawlers (SSR vs CSR)
- Score across 5 dimensions and generate prioritized recommendations
GEO Health Score (0-100)
| Dimension | Weight |
|---|---|
| Citability | 25% |
| Structural Readability | 20% |
| Multi-Modal Content | 15% |
| Authority & Brand Signals | 20% |
| Technical Accessibility | 20% |
AI Crawlers to Check in robots.txt
Allow for AI search visibility: OAI-SearchBot, Claude-SearchBot, PerplexityBot. GPTBot is OpenAI's training crawler, not the ChatGPT Search crawler -- do not cite its status as evidence about ChatGPT Search citability. Likewise ClaudeBot is Anthropic's training crawler, not the Claude search crawler -- Claude-SearchBot governs Claude search citability (per Anthropic's crawler support article). Google-Extended governs Gemini/Vertex training and grounding, plus training of the models behind Search gen-AI features, never Google Search or AI Overviews inclusion (those follow Googlebot), and Applebot-Extended governs Apple Intelligence training only, never Siri/Spotlight/Safari discoverability (that follows Applebot). Check and report each bot against the specific capability it governs. Optional block (training, plus grounding for Google-Extended): CCBot, ClaudeBot, Google-Extended, Applebot-Extended, cohere-ai
Key Citability Signals
- Self-contained answer blocks (about 130-170 words is a third-party heuristic; Google says content need not be chunked for AI)
- Direct answers in first 40-60 words of each section
- Question-based H2/H3 headings
- Specific statistics with source attribution
- Self-contained answer blocks (extractable without context)
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.
- 27d ago Changed · +1 lines 53ac935893d2
- 1mo ago Changed 6a73aebc240a
- 1mo ago Changed · +16 lines c2c420b096da
- 1mo ago First seen · 77 lines · 61 tokens per session scan A 3925c7af6499
seo-geo is an agent published in the GitHub repository AgriciDaniel/claude-seo (22,165 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 1,142 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.
Other agents, from other repositories
audit-google
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audit-amazon
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audit-budget
Budget and finance specialist. Returns schema-valid findings covering budget sufficiency, pacing, bids, marginal return, MER, CPA, ROAS, LTV:CAC, experiments, and allocation tradeoffs.
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
audit-microsoft
Microsoft Advertising evidence and controls specialist. Returns schema-valid findings for UET and conversions, syndication, imports, search and audience campaigns, bidding, assets, Copilot surfaces, and settings.
audit-policy-compliance
Platform policy specialist. Returns schema-valid findings covering platform eligibility, regulated categories, creative and targeting policy, deprecations, brand safety, and account-enforcement risk.