Creator · OpenClaudia
Last updated · Sep 5, 2026
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
Sandbox only
Install targets
Codex install prompt
Install the "ai-citations-report" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/ai-citations-report. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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>'. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"openclaudia-ai-citations-report","task":"Install ai-citations-report","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-report
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
677
75/100 Quality · 68/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
677 GitHub stars
Repo activity
677 stars, 51 forks
Maintenance
13d since push
License
MIT
Install
npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-report
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-reportDo not use when
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Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20ai-citations-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ai-citations-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/openclaudia-ai-citations-report/install
Agent should check
Copy prompt
Task: Use ai-citations-report in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-citations-report%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/openclaudia-ai-citations-report/install
Install command: npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-report
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/openclaudia-ai-citations-report/install
LLM text format
/api/skills/openclaudia-ai-citations-report/install?format=text
Find alternatives
/api/skills/search?q=ai-citations-report&limit=3
Agent prompt
Use ai-citations-report for this task. Review https://www.openagentskill.com/api/skills/openclaudia-ai-citations-report/install, then install with: npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-reportRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/openclaudia-ai-citations-report
LLM text
/api/registry/manifest/openclaudia-ai-citations-report?format=text
Install alias
/api/registry/install/openclaudia-ai-citations-report
Recommend
/api/registry/recommend?task=Use%20ai-citations-report%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO677 GitHub stars
Stars/forks activity
INFO677 stars, 51 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
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--- name: ai-citations-report description: "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>'." ---
# 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
```bash 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.
Source provenance
Decision snapshot
677 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for ai-citations-report, ready for a manual X post.
ai-citations-report: Generate an AI Citations Report (GEO) for a domain — which AI-search prompts cite the site ac... 677 stars https://www.openagentskill.com/skills/openclaudia-ai-citations-report?ref=x
Listing + install path for ai-citations-report: https://www.openagentskill.com/skills/openclaudia-ai-citations-report?ref=x Install: npx skills add OpenClaudia/openclaudia-skills --skill ai-citations-report
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Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness