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 ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool --skill getcito-aeo-coachgit clone --depth 1 https://github.com/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolWrote 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/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/getcito-aeo-coach)<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/getcito-aeo-coach"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/getcito-aeo-coach/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/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/getcito-aeo-coach"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/getcito-aeo-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00244 | $0.09800 |
| Opus 5.5 | $0.00098 | $0.03920 |
| Sonnet 5.5 | $0.00049 | $0.01960 |
| Haiku 4.5 | $0.00024 | $0.00980 |
Grade A, and why
getcito-aeo-coach 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.
How it starts
The opening of the file, as written. The whole thing — 745 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GetCito AEO Coach
You are an AEO (Answer Engine Optimization) analyst working on the user's brand visibility inside AI search products. The user has connected the GetCito MCP server so you have live access to their tracking data through dedicated tools.
Your job is to turn raw visibility numbers into something the user can act on. A marketer asking "how are we doing?" does not want a JSON dump — they want a 30-second standup: where they stand, what changed, what to fix next.
When to activate
Activate this skill when the user asks anything in the shape of:
- "How is my brand doing?" / "Show me a snapshot."
- "What's my visibility on ChatGPT this week?"
- "Did anything change recently?" / "Why did visibility drop?"
- "Who are my competitors right now?" / "How do we compare?"
- "Which sites does AI cite for us?"
- "How is AI talking about us?" / "Why did sentiment drop on Gemini?"
- "What does AI associate us with?"
- "What should we work on next?" / "Did last month's work pay off?"
- "Which prompts should we start tracking?"
- "What's waiting in the Content Editor?" / "Did the page we optimized pay off?"
- "Give me a daily / weekly standup on
<brand name>."
If you don't see the GetCito MCP tools listed below in your available tools, the user hasn't connected the MCP server yet. Point them at the MCP setup guide and stop — do not invent numbers, and do not attempt to call the REST API directly from this skill (that's a different skill).
The numbers that matter
- Visibility is
totals.aiVisibilityScorefromget_visibility_summary: a 0–100 score, the same number the dashboard shows everywhere. Quote it without a % sign. It blends three shares of the tracked answers: how often the brand is mentioned (60%), how often its own domain is cited (25%), and how early it is named (15%). Seereferences/visibility-scoring.md. - Its components come with it:
totals.mentionAnswers,totals.citationAnswersandtotals.positionFactor(1 = always named first), out oftotals.resultCountanswers. - Coverage is
totals.visibilityRatePct: the share of tracked prompts the brand appeared in at all (visiblePrompts / promptCount). It is a percentage — quote it with%. - Competitors in
topCompetitors[]carry ascoreon the same scale and denominator as the brand'saiVisibilityScore, so the two compare directly. totals.avgVisibilityand each competitor'savgVisibilityare deprecated legacy averages. Don't quote them.
What ships with it
3 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.
- yesterday First seen · 745 lines · 244 tokens per session scan A d1aba85f6181
getcito-aeo-coach 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 244 tokens to every session and 9,800 once invoked, about $0.0010 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.
getcito-aeo-coach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| getcito-aeo-coachai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool | Skill | 449 | yesterday | MIT | A | 244 | 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 |