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 Thibaultbm/claude-seo-geo --skill geo-visibilitygit clone --depth 1 https://github.com/Thibaultbm/claude-seo-geoWrote 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/thibaultbm/claude-seo-geo/geo-visibility)<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/geo-visibility"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/geo-visibility/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/thibaultbm/claude-seo-geo/geo-visibility"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/geo-visibility.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00133 | $0.06076 |
| Opus 5 | $0.00067 | $0.03038 |
| Sonnet 5 | $0.00027 | $0.01215 |
| Haiku 4.5 | $0.00013 | $0.00608 |
Grade A, and why
geo-visibility 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 12d 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 the raw HTML of the page (view-source or curl) and search for the page's key answers verbatim. How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Visibility: Getting Cited by AI Engines
Generative Engine Optimization (GEO) is the work of becoming a source AI engines retrieve, quote, and recommend. This skill is the canonical reference in this repo for passage-level citability rules: when another skill needs "how to write so AI engines cite it", the rules live here.
One framing governs everything below: AI engines do not rank 1000 pages, they sample a short list of sources per subquery and quote passages from them. That changes the job from "rank the page" to "make every passage quotable and make the brand legible everywhere models look". GEO sits on top of SEO, never instead of it: a page that is not indexed cannot be retrieved, and a page that is not retrieved cannot be cited.
Company knowledge first (Obsidian)
If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed. Vault structure, read-first and write-back protocols: the obsidian-brain skill.
Definitions
- GEO (Generative Engine Optimization): the practice of earning citations and recommendations inside AI-generated answers.
- AEO (Answer Engine Optimization): an earlier name for the same goal; treat the terms as interchangeable.
- Citability: how easily one passage can be lifted out of a page and quoted as a standalone, correct answer.
- Query fan-out: the engine-side decomposition of one prompt into multiple subqueries, each retrieved separately.
- Entity: the machine-readable identity of a brand (name, category, key facts) that models learn from co-occurrence across the web.
When to use this skill
What ships with it
1 file 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.
- 12d ago First seen · 303 lines · 133 tokens per session scan A 7a287e8e9028
geo-visibility is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (16 stars, last pushed yesterday), licensed MIT. It adds 133 tokens to every session and 6,076 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.
Other skills, from other repositories
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com — e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.