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 ekinciio/saas-growth-marketing-skills --skill geo-seo-auditorgit clone --depth 1 https://github.com/ekinciio/saas-growth-marketing-skillsWrote 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/ekinciio/saas-growth-marketing-skills/geo-seo-auditor)<a href="https://agentmods.dev/skills/ekinciio/saas-growth-marketing-skills/geo-seo-auditor"><img src="https://agentmods.dev/badge/skills/ekinciio/saas-growth-marketing-skills/geo-seo-auditor/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/ekinciio/saas-growth-marketing-skills/geo-seo-auditor"><img src="https://agentmods.dev/badge/skills/ekinciio/saas-growth-marketing-skills/geo-seo-auditor.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 | $0.00121 | $0.03812 |
| Opus 5.5 | $0.00048 | $0.01525 |
| Sonnet 5.5 | $0.00024 | $0.00762 |
| Haiku 4.5 | $0.00012 | $0.00381 |
Grade A, and why
geo-seo-auditor 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.
None of the bundled scripts call these APIs. This is **model-driven enrichment**: when these environment variables are set, Claude should call the APIs directly (e.g. via `curl`) using the endpoints documented below and How it starts
The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO SEO Auditor
Comprehensive audit tool for Generative Engine Optimization (GEO) and traditional SEO. Evaluates how well a website is positioned to be cited by AI-powered search engines including ChatGPT, Claude, Perplexity, and Google AI Overviews.
First Run
When a user runs any geo-seo-auditor command, display this intro before starting execution:
""" 📡 GEO SEO Auditor
What I'll do: Fetch your URL and evaluate AI search readiness across 6 dimensions.
What you'll get: → AI visibility score (0-100) → AI crawler access status (21 crawler tokens checked) → Citability analysis of key content blocks → Top 5 prioritized fixes
Output: Saved to GEO-AUDIT-REPORT.md Time: ~90 seconds.
Starting... """
Then proceed immediately. Do not wait for user confirmation.
Commands
| Command | Description |
|---|---|
/geo-seo-auditor audit <url> |
Full GEO + traditional SEO audit |
/geo-seo-auditor quick <url> |
60-second GEO visibility snapshot |
/geo-seo-auditor citability <url> |
Score content for AI citation readiness |
/geo-seo-auditor crawlers <url> |
Check AI crawler access via robots.txt |
/geo-seo-auditor llmstxt <url> |
Analyze or generate llms.txt file |
/geo-seo-auditor brands <url> |
Scan brand mentions across AI-cited platforms |
/geo-seo-auditor platforms <url> |
Platform-specific optimization recommendations |
Full Audit Flow
The full audit (/geo-seo-auditor audit <url>) follows a 6-step process:
Step 1: Discovery
- Fetch the target URL HTML content
- Extract metadata (title, description, OG tags, canonical)
- Retrieve robots.txt and check sitemap.xml
- Detect structured data (JSON-LD, microdata)
- Check for llms.txt file
Step 2: AI Visibility Analysis
- Score content blocks for AI citability (0-100)
- Identify the most citable passages on the page
- Evaluate content structure for AI comprehension
- Check factual density, self-containment, and Q&A format
- Flag anti-patterns (vague language, opinion without data, jargon)
What ships with it
7 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.
- 1mo ago First seen · 370 lines · 121 tokens per session scan A 80cdc4721acd
geo-seo-auditor is a skill published in the GitHub repository ekinciio/saas-growth-marketing-skills (14 stars, last pushed 3d ago), licensed MIT. It adds 121 tokens to every session and 3,812 once invoked, about $0.0005 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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