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rivals

rivals is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 15 tokens per session (440 once invoked), scanned A, original, MIT.

A competitor brief that explains how one competing brand appears in AI answers, including the prompts it wins and the pages AI cites.

In plain words
What is it for?
Use it to compare visibility, find questions where a competitor leads, review how AI describes them, and identify actions for your brand.
Why use it?
It brings competitor evidence into one short report instead of making you compare platforms, questions, mentions, and cited pages yourself.

Skill for Claude CodeCodex

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

not rated 449repo +57 yesterday A scan 15 tokens original MIT

Good fit Use it to compare visibility, find questions where a competitor leads, review how AI describes them, and identify actions for your brand.

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/rivals
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 rivals
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 rivals

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/rivals"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/rivals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 440 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 $0.00015 $0.00440
Opus 5.5 $0.00006 $0.00176
Sonnet 5.5 $0.00003 $0.00088
Haiku 4.5 $0.00002 $0.00044

Measured yesterday against content hash ec02c0ead577, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rivals 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:

  • rivals — 100% identical, 0 lines differ
skills/rivals/SKILL.md · 46 lines

What it actually says

Rival brief

A one-page brief on one competitor in AI answers: where they lead, the prompts they win, the pages AI cites for them, how AI describes them, and what the brand can do.

When to use

  • "Tell me about Northwind in AI search", "Why does AI recommend them over us?", "Competitor moves."
  • To work on one prompt they win, the Beat a competitor skill fits better.

What to read

  1. list_competitors: the tracked competitors. When the person names none, ask, with these as the options.
  2. get_competitor_comparison for the period: where they lead, per platform.
  3. get_visibility_trend: how their visibility and the brand's moved.
  4. get_prompt_performance and list_ai_answers: the prompts they win, and the answers that recommend them.
  5. list_citations with the competitor filter: the pages AI cites for them.
  6. get_mention_competitors and list_mentions: how AI describes them beside the brand.

Steps

  1. Summarise where they stand against the brand in three lines.
  2. By platform: who leads, and by how much.
  3. The prompts they win that the brand doesn't, with the pages AI cites for them there.
  4. How AI describes them, quoted, and what it credits them with.
  5. Three moves for the brand, each tied to a prompt or a page.

Output

  1. One page: Summary, By platform, Prompts they win, Pages AI cites for them, How AI describes them, What to do next.
  2. Every number with the period it covers.

Don't

  • Don't disparage the competitor, and claim nothing about them a read page or answer doesn't say.
  • Don't copy their text: say what their pages answer.
  • Never promise the moves will win.
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 · 46 lines · 15 tokens per session scan A ec02c0ead577

Subscribe to this mod's changes

rivals 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 15 tokens to every session and 440 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.

Analytics and metricsMarketing and SEOai-search-optimizationansweranswer-engine-optimizationchatgptclaudegenerative-engine-optimization
Related

rivals compared with skills from other repositories

rivals next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
rivalsai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA15Claude 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