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 Kevin-Liu-01/Agent-Machines --skill seo-geo-optimizationgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/seo-geo-optimization)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/seo-geo-optimization"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/seo-geo-optimization/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/kevin-liu-01/agent-machines/seo-geo-optimization"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/seo-geo-optimization.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 | $0.00115 | $0.02557 |
| Opus 5 | $0.00057 | $0.01278 |
| Sonnet 5 | $0.00023 | $0.00511 |
| Haiku 4.5 | $0.00012 | $0.00256 |
Grade A, and why
seo-geo-optimization 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 9d 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.
curl -sL "https://example.com" | rg -i "<title>|<meta name=\"description\"|<meta property=\"og:|application/ld\+json" | head -20 How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO/GEO Optimization
GEO = Generative Engine Optimization. AI search engines don't rank pages — they cite sources. Being cited is the new "ranking #1."
Read wiki/tools/seo-geo.md for the full playbook if available.
The 9 Princeton GEO Methods
Ranked by measured visibility boost:
| Method | Boost | How to Apply |
|---|---|---|
| Cite Sources | +40% | Add authoritative citations and references |
| Statistics Addition | +37% | Include specific numbers and data points |
| Quotation Addition | +30% | Add expert quotes with attribution |
| Authoritative Tone | +25% | Use confident, expert language |
| Easy-to-understand | +20% | Simplify complex concepts |
| Technical Terms | +18% | Include domain-specific terminology |
| Unique Words | +15% | Increase vocabulary diversity |
| Fluency Optimization | +15-30% | Improve readability and flow |
| -10% | AVOID — hurts visibility |
Best combination: Fluency + Statistics = maximum boost.
Workflow
Step 1: Audit Current State
# Check meta tags and schema
curl -sL "https://example.com" | rg -i "<title>|<meta name=\"description\"|<meta property=\"og:|application/ld\+json" | head -20
# Check AI bot access
curl -s "https://example.com/robots.txt"
# Check sitemap
curl -s "https://example.com/sitemap.xml" | head -50
Verify AI bot access in robots.txt:
- Googlebot, Bingbot (required)
- GPTBot, ChatGPT-User (OpenAI/ChatGPT)
- ClaudeBot, anthropic-ai (Claude)
- PerplexityBot (Perplexity)
Blocking Google-Extended is not the same as blocking Googlebot. If the goal is AI visibility, blanket AI-bot blocking is self-sabotage.
Step 2: Entity Engineering
The 5 Required Rules (from Kevin's playbook):
- Keyword placement — primary keyword in at least 4 of 6: URL slug, title tag, meta/social title, H1, at least one H2, body copy intro
- Entity placement — primary entity + supporting entities in title, H1, intro, core sections, schema
- Entity gap analysis — extract entities from top competitors, add missing relevant entities. Do not add irrelevant brands.
- JSON-LD schema — place in page
<head>, not only through client-side injection - Schema entity reinforcement — mirror on-page entities inside schema fields (
name,description,about,sameAs,knowsAbout,mentions,author,publisher)
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.
- 9d ago First seen · 279 lines · 115 tokens per session scan A 3d3eb173b7d7
seo-geo-optimization is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 115 tokens to every session and 2,557 once invoked, about $0.0006 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 2026-09-03.
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