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 calm-north/seojuice-skills --skill optimize-for-aigit clone --depth 1 https://github.com/calm-north/seojuice-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/calm-north/seojuice-skills/optimize-for-ai)<a href="https://agentmods.dev/skills/calm-north/seojuice-skills/optimize-for-ai"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/optimize-for-ai/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/calm-north/seojuice-skills/optimize-for-ai"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/optimize-for-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00093 | $0.03889 |
| Opus 5.5 | $0.00037 | $0.01556 |
| Sonnet 5.5 | $0.00019 | $0.00778 |
| Haiku 4.5 | $0.00009 | $0.00389 |
Grade A, and why
optimize-for-ai 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 2mo 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimize for AI
Optimize for AI search engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews) using citation architecture, E-E-A-T signals, and brand entity building.
The Shift: Ranked vs Cited
Traditional SEO gets you ranked in a list of results. AI SEO gets you cited as a source in AI-generated answers. The difference matters:
- AI systems select sources based on content quality, structure, and authority — not just ranking position
- AI Overviews appear in a growing share of Google searches and can significantly reduce website clicks
- Well-structured, authoritative content gets cited far more often than unstructured content
- Being cited by AI builds brand trust in a way traditional rankings cannot
Content That Gets Cited
What AI Systems Look For
AI systems extract information from content. The easier it is to extract, the more likely it gets cited:
Definitions and clear statements
- "X is Y" format — unambiguous, extractable
- Place definitions early in the content, right after the heading
- Avoid burying answers in lengthy introductions
Structured data
- Comparison tables — among the most commonly cited content formats
- Step-by-step lists
- Statistical claims with sources
- Pro/con lists
Original insights
- Original research and data — unique data earns disproportionate citations
- Expert quotes with credentials
- First-hand experience descriptions
- Counterintuitive findings backed by evidence
Comprehensive coverage
- Definitive guides that cover a topic end-to-end
- FAQ sections with direct answers
- Content that answers follow-up questions proactively
Content Formats That Win (ranked by citation frequency)
| Format | Why It Works |
|---|---|
| Comparison articles | AI frequently answers "X vs Y" and "best X" queries — structured comparisons are easy to extract |
| Definitive guides | Comprehensive coverage signals authority to AI systems |
| Original research | Unique data that no one else has — AI systems prefer primary sources |
| How-to tutorials | Step-by-step structure maps directly to AI response format |
| Expert roundups | Multiple expert voices increase perceived authority |
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.
- 2mo ago First seen · 366 lines · 93 tokens per session scan A b8f4a57542b5
optimize-for-ai is a skill published in the GitHub repository calm-north/seojuice-skills (21 stars, last pushed 8mo ago), licensed MIT. It adds 93 tokens to every session and 3,889 once invoked, about $0.0004 per session on Opus 5.5. 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.
optimize-for-ai compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| optimize-for-aicalm-north/seojuice-skills | Skill | 21 | 8mo ago | MIT | A | 93 | Claude Code, Codex |
| content-amplifieraaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 202 | Claude Code |
| cold-outbound-sequenceraaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| inbox-placement-monitoraaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 166 | Claude Code |
| newsletter-monetization-planneraaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 139 | Claude Code |
| audience-mapperaaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 156 | Claude Code |
| pricing-packaging-planneraaron-he-zhu/aaron-marketing-skills | Skill | 3.1k | yesterday | Apache-2.0 | A | 166 | Claude Code |