geo-seo-claude is a Claude Code skill for improving how websites appear in AI-powered search while retaining traditional search-engine optimization. It is used by marketers and website practitioners for analysis such as citation scoring, crawler review, authority assessment, structured data, and platform-specific recommendations. The catalogue entries are skills and agents that carry out this optimization workflow.
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 zubair-trabzada/geo-seo-claude --skill geogit clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claudeWrote 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/zubair-trabzada/geo-seo-claude/geo)<a href="https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/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/zubair-trabzada/geo-seo-claude/geo"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00139 | $0.02883 |
| Opus 5 | $0.00069 | $0.01442 |
| Sonnet 5 | $0.00028 | $0.00577 |
| Haiku 4.5 | $0.00014 | $0.00288 |
Grade A, and why
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 13d 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.
1. Fetch homepage HTML (curl or WebFetch) How it starts
The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO-SEO Analysis Tool — Claude Code Skill (February 2026)
Philosophy: GEO-first, SEO-supported. AI search is eating traditional search. This tool optimizes for where traffic is going, not where it was.
Quick Reference
| Command | What It Does |
|---|---|
/geo audit <url> |
Full GEO + SEO audit with parallel subagents |
/geo page <url> |
Deep single-page GEO analysis |
/geo citability <url> |
Score content for AI citation readiness |
/geo crawlers <url> |
Check AI crawler access (robots.txt analysis) |
/geo llmstxt <url> |
Analyze or generate llms.txt file |
/geo brands <url> |
Scan brand mentions across AI-cited platforms |
/geo platforms <url> |
Platform-specific optimization (ChatGPT, Perplexity, Google AIO) |
/geo schema <url> |
Detect, validate, and generate structured data |
/geo technical <url> |
Traditional technical SEO audit |
/geo content <url> |
Content quality and E-E-A-T assessment |
/geo report <url> |
Generate client-ready GEO deliverable |
/geo report-pdf <url> |
Generate professional PDF report with charts and scores |
/geo quick <url> |
60-second GEO visibility snapshot |
/geo prospect <cmd> |
CRM-lite: manage prospects through the sales pipeline |
/geo proposal <domain> |
Auto-generate client proposal from audit data |
/geo compare <domain> |
Monthly delta report: show score improvements to client |
/geo update |
Pull latest GEO skill updates from upstream |
Market Context (Why GEO Matters)
| Metric | Value | Source |
|---|---|---|
| GEO services market (2025) | $850M-$886M | Yahoo Finance / Superlines |
| Projected GEO market (2031) | $7.3B (34% CAGR) | Industry analysts |
| AI-referred sessions growth | +527% (Jan-May 2025) | SparkToro |
| AI traffic conversion vs organic | 4.4x higher | Industry data |
| Google AI Overviews reach | 1.5B users/month, 200+ countries | |
| ChatGPT weekly active users | 900M+ | OpenAI |
| Perplexity monthly queries | 500M+ | Perplexity |
| Gartner: search traffic drop by 2028 | -50% | Gartner |
| Marketers investing in GEO | Only 23% | Industry surveys |
| Brand mentions vs backlinks for AI | 3x stronger correlation | Ahrefs (Dec 2025) |
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.
- 13d ago First seen · 252 lines · 139 tokens per session scan A 52c5c3ff91ee
geo is a skill published in the GitHub repository zubair-trabzada/geo-seo-claude (10,540 stars, last pushed yesterday), licensed MIT. It adds 139 tokens to every session and 2,883 once invoked, about $0.0007 per session on Opus 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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