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/skills/agricidaniel/claude-seo/seo-geo)<a href="https://agentmods.dev/skills/agricidaniel/claude-seo/seo-geo"><img src="https://agentmods.dev/badge/skills/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/skills/agricidaniel/claude-seo/seo-geo"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00063 | $0.05339 |
| Opus 5.5 | $0.00025 | $0.02136 |
| Sonnet 5.5 | $0.00013 | $0.01068 |
| Haiku 4.5 | $0.00006 | $0.00534 |
Grade A, and why
seo-geo scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- seo-geo — 91% identical, 578 lines differ
- seo-geo — 86% identical, 223 lines differ
- seo-geo — 83% identical, 242 lines differ
- seo-geo — 83% identical, 238 lines differ
- seo-geo — 81% identical, 240 lines differ
- seo-geo — 81% identical, 240 lines differ
- seo-geo — 81% identical, 240 lines differ
- seo-geo — 78% identical, 258 lines differ
How it starts
The opening of the file, as written. The whole thing — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Search / GEO Optimization (May 2026)
Primary Source: Google's AI Optimization Guide
Google's official position, published under Search Central docs:
"From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."
Read references/google-ai-optimization-guide.md for the full synthesis,
myth-busting list (llms.txt, chunking, AI-rephrasing, mention-farming,
all rejected by Google as ineffective), and the Who/How/Why test for
content quality.
Audits should frame GEO findings as SEO fundamentals applied to AI-search surfaces, not as a separate optimization discipline. When community recommendations contradict Google's primary source, defer to Google and note the contradiction in the report.
Key Statistics
Third-party figures below were not re-verified on 2026-09-23. Quote them only with their source and date, or leave them out.
| Metric | Value | Source |
|---|---|---|
| AI Overviews reach | 2.5 billion+ monthly active users, reported from Google I/O 2026 keynote coverage; not confirmed on a Google-owned source; 200+ countries | Third-party I/O reporting |
| AI Overviews query coverage | ~50% of queries (third-party measurement; varies by country) | Industry data |
| AI Mode monthly users | 1B+ (Google, I/O 2026, 2026-05-19) | Google (blog.google) |
| AI Mode model | Google upgrades it often (Gemini 3.5 Flash became the default on 2026-05-19, and newer Flash models have shipped since); never tie advice to a model | Google (blog.google) |
| AI-referred sessions growth | 527% (Jan-May 2025) | Third-party (attributed to SparkToro; not re-verified) |
| ChatGPT weekly active users | 1 billion+ (reported August 2026; 900 million in February 2026) | OpenAI, via press reporting |
| Perplexity monthly queries | 500+ million | Perplexity |
Critical Insight: Brand Mentions > Backlinks
Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs study of 75,000 brands, published 2025-12-12; it follows Ahrefs' May 2025 AI Overviews study)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago Changed · +9 lines · +30 tokens per session 94f48c4b21bf
- 22d ago Changed 881fffb9e1d0
- 27d ago Changed · +1 lines 2d8e53ba8b2c
- 1mo ago Changed · +12 lines · -77 tokens per session d800c5c1078a
- 1mo ago Changed · +62 lines a4c4a9ce1b06
- 1mo ago First seen · 326 lines · 110 tokens per session scan A 41e3012757cd
seo-geo is a skill published in the GitHub repository AgriciDaniel/claude-seo (22,165 stars, last pushed 4d ago), licensed MIT. It adds 63 tokens to every session and 5,339 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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