A content-writing workflow that uses the questions people ask AI systems and the pages those systems cite. It can produce briefs, articles, FAQ sections, comparison pages, and social posts.

Planning and drafting content aimed at answering tracked questions and being cited by AI systems.

It helps create content based on observed questions and sources rather than starting from an empty page or guesswork.

create — Skill for Claude Code and Codex by ai-search-guru

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 ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool --skill create

Clone the repo

git clone --depth 1 https://github.com/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create/github.svg)](https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create)

Your own site

<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 618 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.00618
Opus 5.5	$0.00009	$0.00247
Sonnet 5.5	$0.00005	$0.00124
Haiku 4.5	$0.00002	$0.00062

Measured yesterday against content hash 188647d2f9f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

create — 97% identical, 0 lines differ

skills/create/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create content

The playbook of the /create shortcut ("Create content for …"): a piece of content written to be cited by AI engines, from the brand's prompts, fan-outs and the pages AI cites now.

Data plan

Read only these, for the chat's brand and the topic or page the person names:

list_prompts, get_prompt_performance and list_topics: the prompts the piece should win, and how the brand does on them.
get_fanouts and get_prompt_insights: what the engines search for behind those prompts, and which matter most.
list_citations: the pages AI cites for them now.
fetch_page for one or two of those cited pages, and for the brand's own page when the piece updates it.
list_content_opportunities, when the person names no topic.
list_drafts and get_draft: a draft already open for the same page.

Use list_brands only when no brand is selected, and open_page to link the Content Library.

Scope: the last 30 days, every platform the plan tracks.

Questions

Ask the format (brief, article, FAQ block, comparison page or social post), the target page and the length only when the request doesn't say and the answer changes what you write. Two questions at most, together.

Steps

Pick the questions the piece must answer: the prompts and fan-outs with the most demand.
See what the cited pages answer, and what they leave out.
Write the piece answer-first: a direct answer under each heading, then detail. For an FAQ or a comparison page, add the structured data as a code block.
When the person wants it kept, save it as a draft with create_draft; the app asks them first when it should. In an agent's run nobody is there to ask: always save it with its tool, and the app holds it for approval where the agent's mode needs it.

Output

The piece as a document, with its structured data as code when it has some.

Next moves

Two or three, such as opening it in the Content Editor, or an FAQ block for the same prompts.

Don't

Read the full file on GitHub · 53 lines

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.

yesterday First seen · 53 lines · 23 tokens per session scan A 188647d2f9f1

Subscribe to this mod's changes

create is a skill published in the GitHub repository ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool (449 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 618 once invoked, about $0.0001 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 2026-11-05.

Marketing and SEO Writing and docs ai-search-optimization answer answer-engine-optimization chatgpt claude generative-engine-optimization

create next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
createai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool	Skill	449	yesterday	MIT	A	23	Claude Code, Codex
geo-platform-optimizerasale-ai/seo-geo-skill	Skill	6	2mo ago	none	A	34	Claude Code
ansvisor-aeo-coach-standaloneansvisor/ansvisor	Skill	232	yesterday	MIT	A	148	Claude Code, Codex
geo-loopmverab/eGEOagents	Skill	217	yesterday	MIT	A	62	Claude Code
content-scoringmverab/eGEOagents	Skill	217	yesterday	MIT	A	34	Claude Code
competitive-analysismverab/eGEOagents	Skill	217	yesterday	MIT	A	29	Claude Code
schema-generatormverab/eGEOagents	Skill	217	yesterday	MIT	A	35	Claude Code