ai-citations-report

v2026.09.24

Generate an AI Citations Report (GEO) for a domain — which AI-search prompts cite the site across Google AI Overview and ChatGPT, plus organic-traffic context and per-article citation coverage. Use when the user asks for an 'AI citations report', 'GEO citations report', or 'which AI prompts cite <domain>'.

GitHub
安装命令
npx skhub add openclaudia/ai-citations-report
Markdown
SKILL.md

AI Citations Report

Generate a styled, client-ready GEO report showing which AI-search prompts cite a domain across Google AI Overview and ChatGPT.

This skill is a thin client over the Enception AI Citations API (POST https://www.enception.ai/api/external/ai-citations). Do not re-implement the data pull or report HTML locally — all logic (LLM Mentions pull, cited-vs-retrieved classification, traffic trend, content coverage, HTML→PDF) runs server-side.

Disclosure: This skill was contributed by Enception AI and calls Enception's paid API. Citation data comes from DataForSEO LLM Mentions; traffic figures are modelled estimates.

API docs: https://www.enception.ai/doc/api-ai-citations

Requirements

  • ENCEPTION_API_KEY — access key for the Enception API. Self-serve: sign up at https://www.enception.ai, then generate a free-tier key under Account → API Key (10 reports/month free; contact the team for higher limits).

What it produces

A styled PDF (or HTML/JSON) with:

  • Summary table of every prompt that cited or retrieved the domain
  • Organic traffic, 12-month month-over-month trend, and position distribution
  • Full cited-prompt answer cards with the domain's source highlighted
  • Retrieved-but-not-cited gap cards (content opportunities)
  • Optional per-article citation coverage for URLs you pass in

How to run

curl -X POST https://www.enception.ai/api/external/ai-citations \
  -H 'Content-Type: application/json' \
  -d '{
    "domain": "example.com",
    "brandName": "Example Inc",
    "locationCode": 2840,
    "articles": ["my-article-slug", "https://example.com/articles/another-post"],
    "passcode": "'"$ENCEPTION_API_KEY"'"
  }' \
  -o ai-citations-example.com.pdf

Then open the PDF and visually verify (traffic cards, trend deltas, source highlights) before presenting it.

Options

  • domain (required) — the site to analyze.
  • brandName, locationCode, languageCode, genDate (optional) — default to the domain, 2840 (US), en, and today. Common location codes: 2840 = US, 2826 = UK, 2124 = Canada.
  • articles[] (optional) — article slugs or full URLs for the content-coverage section. Omit to skip that section.
  • format (optional) — pdf (default), html, or json (json returns {citedCount, retrievedCount, promptCount, html}; useful for debugging or piping counts elsewhere).

Honesty guardrails (enforced in the report template)

  • Says "not yet cited in AI answers", never "not indexed" — LLM Mentions verifies AI citations, not Google indexation.
  • Traffic is labelled modelled estimates (DataForSEO), not measured analytics.
  • Never promise future AI citations in client-facing docs — citations are an emergent outcome of content quality, not a deliverable you can guarantee.

Notes

  • Rate limit: 20 requests/hour.
  • A domain with zero AI citations still gets a valid report — the gap cards and traffic context are the value in that case.
发现
标签

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/ai-citations-report

默认分支

main

最新提交

28bf209

Tree SHA

1921387