Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 01clauding/claude-seo-skill --skill seo-geogit clone --depth 1 https://github.com/01clauding/claude-seo-skillWrote 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/01clauding/claude-seo-skill/seo-geo)<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-geo"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/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/01clauding/claude-seo-skill/seo-geo"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/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 | $0.00110 | $0.02562 |
| Opus 5 | $0.00055 | $0.01281 |
| Sonnet 5 | $0.00022 | $0.00512 |
| Haiku 4.5 | $0.00011 | $0.00256 |
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 10d 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.
This is a copy
70% identical to seo-geo — 205 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Search / GEO Optimization (February 2026)
Key Statistics
| Metric | Value | Source |
|---|---|---|
| AI Overviews reach | 1.5 billion users/month across 200+ countries | |
| AI Overviews query coverage | 48% of all queries (58% YoY growth) | BrightEdge/Semrush 2025 |
| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |
| ChatGPT weekly active users | 900 million | OpenAI |
| Perplexity monthly queries | 500+ million | Perplexity |
| Perplexity Sonar response speed | 10x faster than Gemini 2.0 Flash | Perplexity |
| Google AI Mode | Zero blue links, 180+ countries | Google, May 2025 |
Critical Insight: Brand Mentions > Backlinks
Brand mentions correlate 3× more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)
| Signal | Correlation with AI Citations |
|---|---|
| YouTube mentions | ~0.737 (strongest) |
| Reddit mentions | High |
| Wikipedia presence | High |
| LinkedIn presence | Moderate |
| Domain Rating (backlinks) | ~0.266 (weak) |
Only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query — platform-specific optimization is essential.
Answer-First Content & Earned Mentions
Answer-First Content
AI search engines extract answers from the first 200 words of content. Structure every page with:
- Direct answer to the primary query in the opening paragraph
- Key statistics and facts front-loaded
- Self-contained answer blocks (134-167 words) that can be cited independently
Earned Mentions > Owned Content
For AI citation, earned mentions (third-party references to your brand/product) carry significantly more weight than owned content:
| Signal Type | AI Citation Weight | Example |
|---|---|---|
| Earned mentions | Highest | Reddit discussions, YouTube reviews, Wikipedia entries mentioning your brand |
| Expert citations | High | Industry analysts, academic papers citing your research |
| Owned authoritative | Medium | Your blog with E-E-A-T signals, documentation |
| Owned generic | Low | Marketing pages, press releases |
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.
- 10d ago First seen · 299 lines · 110 tokens per session scan A 1f17f6e5ad14
seo-geo is a skill published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 6mo ago), licensed MIT. It adds 110 tokens to every session and 2,562 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 70% identical to seo-geo, differing in 205 lines, and is treated as a copy.
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