Geo Analysis logo

Geo Analysis

Organization
OpenClaudia
geo-analysis

Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and competitors. Use when the user says 'run a client analysis', 'analyze <domain> for GEO', 'GEO analysis for <domain>', or 'check analysis status'.

Overview

PublisherOpenClaudia
Repositoryopenclaudia-skills
Skill namegeo-analysis
Stars
714
Forks
60
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OpenClaudia on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/geo-analysis
  4. 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.
2

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-analysis .claude/skills/geo-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Geo Analysis 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 Analysis 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 Analysis 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 Analysis

Run a full GEO/SEO analysis for a domain and get a client-ready PDF report: AI visibility (is the brand recommended by ChatGPT / Google AI), deep market research, and competitor landscape.

Thin wrapper over the Enception client-analysis API. Three operations: start, status, report (plus an optional brand-name correction).

Disclosure: contributed by Enception AI and calls Enception's paid external API. Docs: https://www.enception.ai/doc/api-client-analysis

Requirements

  • ENCEPTION_ANALYSIS_API_KEY — sent as the x-api-key header. Self-serve: sign up at https://www.enception.ai, then generate a free-tier key under Account → API Key (2 analyses/month free; contact the team for higher limits). Rate limit: 10 requests/minute.

1. Start

POST https://www.enception.ai/api/external/client-analysis/start

Required: website_url, primary_region, core_goals. Sensible defaults: primary_region=us, core_goals=traffic, output_language=en, competitors=[]. The API normalizes URLs to a bare domain and rejects IPs. Returns { id, message } — save the id.

Pick output_language from an explicit request first, then the user's conversation language, then the domain TLD (.cn → zh; otherwise en).

bash
curl -s -X POST "https://www.enception.ai/api/external/client-analysis/start" \
  -H "x-api-key: $ENCEPTION_ANALYSIS_API_KEY" -H "Content-Type: application/json" \
  -d '{"website_url":"https://example.com/","primary_region":"us","competitors":[],"core_goals":"traffic","output_language":"en"}'

Only override primary_region / core_goals / competitors if the user specifies. core_goals is free text (e.g. traffic, ranking). Competitors: [{"name":"X","domain":"x.com"}, ...] (max 5). For multiple domains, fire one POST each and collect the ids.

2. Status

POST https://www.enception.ai/api/external/client-analysis/status with body { "id": "<id>" } and the same x-api-key header. Returns { status: 'pending' | 'failed' | 'succeeded', progress_percent?, pdf_url? }.

A full run takes ~20–45 minutes — the bottleneck is the deep market-research step. Poll on a long interval (minutes, not seconds). succeeded ⇒ ready to fetch the report. If a run fails or stalls indefinitely, report that to the user rather than inventing results.

3. Report

GET https://www.enception.ai/api/external/client-analysis/report/<id> — public, no auth; shareable by id. Works once status is succeeded (also serves partial runs).

bash
curl -s -o geo-analysis-example.pdf \
  "https://www.enception.ai/api/external/client-analysis/report/<id>"

Confirm it's a real PDF (file geo-analysis-example.pdf), then give the user the file and/or the public URL.

4. Fix "zero visibility" (brand-name correction)

POST https://www.enception.ai/api/external/client-analysis/update-brand with body { "id", "brand_name"?, "alternative_names": [...] } and the x-api-key header.

When a report shows zero/low AI visibility but the brand IS recommended by ChatGPT/Google, it's almost always because the brand is only known by its fused domain label (e.g. pudurobotics) while AI engines say "Pudu Robotics". Supply the real name + aliases and the route recomputes visibility from the already-stored answers (no re-query — fast), then re-fetch the report.

bash
curl -s -X POST "https://www.enception.ai/api/external/client-analysis/update-brand" \
  -H "x-api-key: $ENCEPTION_ANALYSIS_API_KEY" -H "Content-Type: application/json" \
  -d '{"id":"<id>","brand_name":"Pudu Robotics","alternative_names":["Pudu","PuduBot"]}'

Returns { success, mention_rate, overall_score, average_position, analysis_regenerated }. New analyses resolve the brand name automatically; this is the manual correction path for existing reports.

Frequently asked questions

What does the Geo Analysis AI skill do?

Run a full GEO/SEO client analysis for a domain via the Enception external API — start the analysis, poll its status, and download the PDF report covering AI visibility, market research, and competitors. Use when the user says 'run a client analysis', 'analyze <domain> for GEO', 'GEO analysis for <domain>', or 'check analysis status'.

Why use Geo Analysis on TypingMind?

Because you install it once and use it with any model. Geo Analysis 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 Analysis in TypingMind?

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

Which AI models can use Geo Analysis?

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 Analysis?

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

Is the Geo Analysis 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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