Geo Difficulty

Organization

OpenClaudia

geo-difficulty

Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword> to rank', 'geo difficulty for <keyword>', or 'keyword difficulty for <domain>'.

Overview

Publisher	OpenClaudia
Repository	`openclaudia-skills`
Skill name	`geo-difficulty`
Stars	714
Forks	60
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OpenClaudia on GitHub. Read the source before you install it.

Installation

Install the Geo Difficulty AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills.git /tmp/openclaudia-skills
mkdir -p .claude/skills
cp -r /tmp/openclaudia-skills/skills/geo-difficulty .claude/skills/geo-difficulty

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Geo Difficulty in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Geo Difficulty on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Geo Difficulty is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GEO Difficulty

Score keyword ranking difficulty for the AI-search era. Unlike plain Ahrefs KD or domain DR, this:

uses page-level URL Rating (UR) of the results that actually target the query — so a generic article on a huge domain (e.g. mckinsey.com) stops inflating the score;
is client-relative — the same SERP is a wall for a no-name site but ~won for a site already ranking or cited in Google's AI Overview;
folds in the AI Overview citation as a first-class signal.

Disclosure: contributed by Enception AI. Backed by the free public API behind https://www.enception.ai/tools/geo-difficulty (POST https://www.enception.ai/api/tools/geo-difficulty, no API key). Server-side data comes from Ahrefs and SerpAPI.

Usage

bash
bash scripts/score.sh "ai form real estate" "ai slide legal" --client example.com

Pass one or more keywords (quote each). Up to 10 per call.
--client <domain> is optional; add it to get the client-relative verdict (WON / FOOTHOLD / NOT RANKING).
GEO_DIFFICULTY_URL env var overrides the endpoint (rarely needed).

Or call the API directly:

bash
curl -s -X POST https://www.enception.ai/api/tools/geo-difficulty \
  -H 'content-type: application/json' \
  -d '{"keywords":["ai presentation maker"],"client":"example.com"}' --max-time 150

Output columns

absolute — difficulty 0–100 for a brand-new site (0.35·KD + 0.40·median competitor page-UR + 0.25·targeting%).
client_verdict / client_diff — only with --client. WON (top-3 or AI-Overview cited), FOOTHOLD (ranks 4–10), NOT RANKING (with the gap to close, credited for the client's DR).
KD — Ahrefs keyword difficulty; - for zero-volume long-tail.
UR — median page-level URL Rating of the real competitors.
tgt% — share of the top-10 that actually target the query.
AIO — cited (client in the AI Overview), Nsrc (AIO shown, N sources), none, or n/a (AIO not available for this query).
competitors — the targeting results with their UR.

Notes

The AI Overview leg depends on Google actually showing an AIO for the query (intermittent); it degrades gracefully to none/n/a.
Numbers shift day to day as SERPs and UR change — treat as a current snapshot, not a fixed grade.
Each keyword takes a few seconds server-side; keep --max-time generous for batches.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/score.sh2 KB

Frequently asked questions

What does the Geo Difficulty AI skill do?

Why use Geo Difficulty on TypingMind?

Because you install it once and use it with any model. Geo Difficulty is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Geo Difficulty in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-difficulty. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Geo Difficulty?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Geo Difficulty?

As many as you like. As long as a model supports skills, you can use Geo Difficulty with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Geo Difficulty AI skill free?

Yes. It is published on GitHub by OpenClaudia under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GEO Difficulty

Usage

Output columns

Notes

Bundled files

Frequently asked questions

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