optimize-seo-geo

optimize-seo-geo is a skill for Claude Code, Codex from TOKTOKHAN-DEV/agent-company. It costs 6 tokens per session (629 once invoked), scanned A, original, MIT.

A workflow for filling only the SEO and GEO sections of a post's front matter. SEO helps a page appear in search results, while GEO prepares information for answer systems that may quote or cite it.

In plain words
What is it for?
Use it to add a search title, description, keywords, canonical URL, answer summary, FAQ entries, related names, citations, and location targeting to a post.
Why use it?
It improves the page's search metadata without changing the article itself. It also requires summaries, questions, entities, and citations to be supported by the existing content.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to add a search title, description, keywords, canonical URL, answer summary, FAQ entries, related names, citations, and location targeting to a post.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/toktokhan-dev/agent-company/optimize-seo-geo
Install

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.

Any agent
npx skills add TOKTOKHAN-DEV/agent-company --skill optimize-seo-geo
Clone the repo
git clone --depth 1 https://github.com/TOKTOKHAN-DEV/agent-company

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for optimize-seo-geo

README.md
[![agentmods](https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/optimize-seo-geo/github.svg)](https://agentmods.dev/skills/toktokhan-dev/agent-company/optimize-seo-geo)
Your own site
<a href="https://agentmods.dev/skills/toktokhan-dev/agent-company/optimize-seo-geo"><img src="https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/optimize-seo-geo/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.

agentmods 80×15 button for optimize-seo-geo

Your own site · 80×15
<a href="https://agentmods.dev/skills/toktokhan-dev/agent-company/optimize-seo-geo"><img src="https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/optimize-seo-geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00006 $0.00629
Opus 5.5 $0.00002 $0.00252
Sonnet 5.5 $0.00001 $0.00126
Haiku 4.5 $0.00001 $0.00063

Measured 1mo ago against content hash 765009ddb0c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optimize-seo-geo 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 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.

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.

templates/blog/files/agents/blog-writer/skills/optimize-seo-geo/SKILL.md · 68 lines

What it actually says

optimize-seo-geo

먼저

wiki/04-seo-geo-playbook.md를 읽는다. SEO와 GEO는 다른 게임이다 — 전자는 순위, 후자는 인용.

SEO

필드 규칙
seo.title ≤60자. 비우면 title이 쓰인다
seo.description ≤160자. 검색 결과에 그대로 노출된다고 생각하고 쓴다
seo.keywords 3~6개. 주 키워드 하나에 집중
seo.canonical 다른 곳에도 실린 글이면 원본 URL
seo.ogImage 비우면 cover.src가 쓰인다

키워드를 억지로 늘리지 않는다. 관련 없는 키워드는 순위를 오히려 해친다.

GEO

필드 규칙
geo.answerSummary 답변 엔진이 통째로 인용할 2~3문장. 결론부터.
geo.faq 최소 2쌍. 실제로 검색되는 질문 형태로
geo.entities 이 글이 연결되어야 할 고유명사 (제품·기술·회사명)
geo.citations 본문이 인용한 1차 출처
geo.locale / targetMarkets 지역 타깃팅

faq는 FAQPage JSON-LD로, answerSummary는 페이지 상단 요약 블록으로 렌더링된다.

원칙

요약은 추출이지 창작이 아니다. 본문에 없는 내용을 answerSummary에 넣지 않는다. FAQ 답변도 본문에서 근거를 찾을 수 있어야 한다. 근거가 없으면 FAQ를 만들지 말고 본문을 보강해야 한다고 보고한다.

검증

pnpm audit:content <slug>

[seo]와 [geo] lane에 error가 없어야 한다.

git diff content/posts/<slug>.md

본문에 diff가 있으면 안 된다. 있으면 되돌린다.

완료 조건

  • SEO/GEO lane error 0개
  • geo.faq 2쌍 이상, geo.answerSummary 존재
  • 본문 diff 없음

하지 않을 것

  • 본문을 수정하지 않는다. 문제가 있으면 write-draft로 돌아간다.
  • status를 바꾸지 않는다.
  • 검증하지 않은 URL을 citations에 넣지 않는다.
Changes

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.

  1. 1mo ago First seen · 68 lines · 6 tokens per session scan A 765009ddb0c9

Subscribe to this mod's changes

optimize-seo-geo is a skill published in the GitHub repository TOKTOKHAN-DEV/agent-company (85 stars, last pushed 2mo ago), licensed MIT. It adds 6 tokens to every session and 629 once invoked, about $0.0000 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.

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