openclaudia/openclaudia-skills

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.

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How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/openclaudia/openclaudia-skills --skill geo-analysis

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

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.

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