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markets

markets is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 14 tokens per session (385 once invoked), scanned A, original, MIT.

A market-and-language report showing which brands AI systems recommend in each tracked location and language.

In plain words
What is it for?
Use it to compare AI recommendations across countries or other tracked segments and identify markets needing attention.
Why use it?
It reveals where your brand is visible, where competitors lead, and where there are too few answers to draw a conclusion.

Skill for Claude CodeCodex

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

not rated 449repo +57 yesterday A scan 14 tokens original MIT

Good fit Use it to compare AI recommendations across countries or other tracked segments and identify markets needing attention.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets
View source ↗ ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool demo.getcito.com
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 markets
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.

agentmods badge for markets

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets/github.svg)](https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets)
Your own site
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets/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 markets

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/markets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 385 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00385
Opus 5.5 $0.00006 $0.00154
Sonnet 5.5 $0.00003 $0.00077
Haiku 4.5 $0.00001 $0.00038

Measured yesterday against content hash d488b3f4107a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

markets 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:

  • markets — 100% identical, 0 lines differ
skills/markets/SKILL.md · 43 lines

What it actually says

Who AI recommends by market

Who AI engines recommend in each market the brand tracks, and where a competitor leads in one market but not in the others.

When to use

  • "Where in Germany does AI send buyers to rivals?", "Market snapshot", "How do we do in each country?"
  • For the sources AI cites in a market, the Listing gaps skill fits better.

What to read

  1. list_prompts: the locations each prompt tracks. A market is a location the brand's prompts track.
  2. get_visibility_summary and get_competitor_comparison for each market: the brand's place and the competitors'.
  3. list_ai_answers for the market's prompts: which brands each engine recommends there, and how buyers ask.
  4. list_citations for the market: the sources behind those answers.

Steps

  1. List the markets the brand tracks. With only one, compare languages or segments instead, and say so.
  2. For each market: the brands AI recommends most, and the brand's place.
  3. Where a competitor leads in one market but not in the others, say where, on which prompts, and which sources back it.
  4. Note the markets with too few answers to tell anything yet.

Output

  1. One table per market: Brand, Mentioned in, Recommended in, Top prompt.
  2. "Where to start": the market and prompts where a change would count most.

Don't

  • Don't name a market the brand doesn't track.
  • Don't guess a market's size or the brand's sales there.
  • Don't compare markets with too few answers to tell.
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. yesterday First seen · 43 lines · 14 tokens per session scan A d488b3f4107a

Subscribe to this mod's changes

markets 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 14 tokens to every session and 385 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 SEOai-search-optimizationansweranswer-engine-optimizationchatgptclaudegenerative-engine-optimization
Related

markets compared with skills from other repositories

markets next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
marketsai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA14Claude Code, Codex
geo-platform-optimizerasale-ai/seo-geo-skillSkill62mo agononeA34Claude Code
ansvisor-aeo-coach-standaloneansvisor/ansvisorSkill232yesterdayMITA148Claude Code, Codex
geo-loopmverab/eGEOagentsSkill217yesterdayMITA62Claude Code
content-scoringmverab/eGEOagentsSkill217yesterdayMITA34Claude Code
competitive-analysismverab/eGEOagentsSkill217yesterdayMITA29Claude Code
schema-generatormverab/eGEOagentsSkill217yesterdayMITA35Claude Code