geo-query-finder

geo-query-finder is a skill for Claude Code, Codex from OpenClaudia/openclaudia-skills. It costs 82 tokens per session (1,594 once invoked), scanned A, original, MIT.

A tool for checking which longer, specific questions people ask ChatGPT cause a brand to appear in the answers. GEO means improving how often a brand is found in AI-generated search results.

In plain words
What is it for?
Use it to test brand visibility, find AI queries that mention a company, and check results for a chosen industry, feature set, or list of custom questions.
Why use it?
It shows whether a brand is visible for relevant AI searches instead of relying on assumptions about what ChatGPT may mention.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to test brand visibility, find AI queries that mention a company, and check results for a chosen industry, feature set, or list of custom questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaudia/openclaudia-skills/geo-query-finder
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 OpenClaudia/openclaudia-skills --skill geo-query-finder
Clone the repo
git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills

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 geo-query-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/geo-query-finder/github.svg)](https://agentmods.dev/skills/openclaudia/openclaudia-skills/geo-query-finder)
Your own site
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/geo-query-finder"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/geo-query-finder/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 geo-query-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/geo-query-finder"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/geo-query-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 41
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 41
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 101
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00082 $0.01594
Opus 5 $0.00041 $0.00797
Sonnet 5 $0.00016 $0.00319
Haiku 4.5 $0.00008 $0.00159

Measured 13d ago against content hash ecf746382569, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

geo-query-finder scanned grade A with 1 finding 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 13d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://api.dataforseo.com/v3/ai_optimization/llm_mentions/search/live" \
skills/geo-query-finder/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEO Query Finder

Find which ChatGPT search queries mention a given brand. Tests long-tail queries against ChatGPT's web-search-enabled model and reports which ones surface the brand.

Trigger

Use when the user asks to "find queries for [brand]", "check GEO visibility", "which queries mention [brand]", "geo query finder", "find AI mentions", or "test ChatGPT queries for [brand]".

Usage

/geo-query-finder <brand_name> [--industry <industry>] [--features <feature1,feature2,...>] [--queries <custom_query1;custom_query2;...>]

Examples:

  • /geo-query-finder "Acme Corp" — auto-researches the brand and generates queries
  • /geo-query-finder "Acme Corp" --industry "smart TV OS" --features "white-label,voice-control,OEM licensing"
  • /geo-query-finder "Acme Corp" --queries "best regulatory AI;eCTD validation tool;pharma compliance software"

How It Works

Step 0: Pull pre-indexed LLM mentions (DataForSEO) — do this FIRST

Before generating speculative queries, check if DataForSEO already has indexed mentions for the brand's domain. If it does, you get ground-truth queries with search volume in one call instead of burning OpenAI dollars guessing.

Auth via DATAFORSEO_LOGIN / DATAFORSEO_PASSWORD environment variables.

AUTH=$(printf '%s' "$DATAFORSEO_LOGIN:$DATAFORSEO_PASSWORD" | base64)
# Google AI Overview citations
curl -s -X POST "https://api.dataforseo.com/v3/ai_optimization/llm_mentions/search/live" \
  -H "Authorization: Basic $AUTH" -H "Content-Type: application/json" \
  -d '[{"target":[{"domain":"<DOMAIN>","search_filter":"include","include_subdomains":true}],"platform":"google","limit":700}]'
# ChatGPT citations (substitute "platform":"chat_gpt")

Critical flags:

  • "include_subdomains": true — without it, apex domains return 0 results (www.X treated as a different domain).
  • Omit location_code to get global results; add "location_code": 2840 only to scope to US.
  • platform options: "google" (AI Overview), "chat_gpt". Perplexity is NOT supported via this dataset.

Read the full file on GitHub · 157 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.

  1. 13d ago First seen · 157 lines · 82 tokens per session scan A ecf746382569

Subscribe to this mod's changes

geo-query-finder is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 1,594 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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