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 seo-geo-auditgit 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/seo-geo-audit)<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-geo-audit"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-geo-audit/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/seo-geo-audit"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-geo-audit.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 | $0.00103 | $0.02811 |
| Opus 5 | $0.00051 | $0.01406 |
| Sonnet 5 | $0.00021 | $0.00562 |
| Haiku 4.5 | $0.00010 | $0.00281 |
Grade A, and why
seo-geo-audit 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full SEO + GEO site audit
Audit a website the way a senior practitioner does: collect verifiable facts first, judge them against a field-tested checklist, benchmark against the competitors that actually rank, and deliver a short list of fixes ordered by impact. The methodology was distilled from 115+ real agency audit calls and updated with sourced 2025-2026 evidence on AI search.
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.
Why this audit is different
- Facts before judgment. Every claim in the final report must trace back to something measured (by the bundled script, a browser check, or data the owner provided). Never guess a title length or assume a sitemap exists.
- Competitors over abstract thresholds. "Your page has 400 words" means nothing alone. "The three sites outranking you average 1200 words on this query" is a finding. When competitors are known, benchmark page versus page.
- Two search worlds at once. Every category is checked twice: does it help Google rankings, and does it help the site get retrieved and cited by ChatGPT, Perplexity and Google AI Overviews. These overlap but do not coincide (AI Mode answers show only about 32 percent URL overlap with the top 10 organic results).
- The audit is a pricing tool for agencies. The counted error volume doubles as a quote: "500 errors on this site, that is roughly 3000 euros of work" scopes the project the prospect is buying. The score is a ratio of errors to pages, so one template-level error repeats across every page using that template and a single fix corrects it everywhere, which is why a low score is rarely a catastrophe. Frame both up front so the owner reads the report as a plan, not a verdict (field heuristic from 115+ agency audits).
What ships with it
4 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.
- 12d ago First seen · 149 lines · 103 tokens per session scan A 9ea396f14bc3
seo-geo-audit is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (16 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 2,811 once invoked, about $0.0005 per session on Opus 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.
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.