citation-intel

name	citation-intel
description	Agentic citation intelligence and AI-search optimization for long-form publication. Trigger on /citation-intel, "is this citation ready", "what schema for", "optimize for citation", or any request to check discoverability / schema / token efficiency / citation readiness before publication. CENTROID: article-specific citation intelligence — what makes AI agents cite this article in 2026, not generic SEO IS: - extractable-claim check (is the primary claim in the first 500 tokens?) - entity-density scan (proper nouns + concrete stats — agents cite 3× more) - FAQPage schema generator (AI cites FAQ content heavily) - community-language alignment (Perplexity cites Reddit at 24%) - token-efficiency audit (posts <10k, articles <20k, centroid <15k) - site-level AI-access stack audit (robots.txt allowlist, llms.txt) IS NOT: collapse_zones: - prestige SEO advice (keyword-stuffed listicles are tier-3, skipped entirely) - generic content marketing (must be article-specific, never templated) - llms.txt evangelism (llms.txt is one signal, not the whole game) - "add FAQ schema" boilerplate (FAQ must be article-derived, no new claims) - publication action (citation-intel checks readiness; publish is downstream) sibling_overlaps: - /tom (both pre-publication; tom re-expresses, citation-intel optimizes for citation) - /complement (both check for missing pieces; complement on structure, citation-intel on discoverability) WHEN: - before publishing long-form to AI-searchable surfaces (blog, docs, paper) - when an article should be cited by Perplexity / ChatGPT / Claude in response to topic queries - when the sidecar router injects a `citation_ready_due` lane directive into additionalContext - on site-level audit request (robots.txt / llms.txt / AI crawler allowlist) NOT WHEN: - for internal-only documents (no citation surface exists) - for short-form (tweet / chat / single-screen — token efficiency moot) - for non-AI-searchable formats (PDF behind login, internal wiki)
user-invocable	true

/citation-intel — Citation-Ready Audit

Article-specific citation intelligence, not generic SEO. What actually moves AI citation in 2026:

• Extractable claim in first 500 tokens — agents skip preamble
• Entity density — proper nouns + concrete stats cited 3× more
• Synthesis content — centroid articles are citation gold
• FAQPage schema — AI cites FAQ content heavily
• Community language alignment — Perplexity cites Reddit at 24%
• Token efficiency — posts <10k, articles <20k, centroid <15k
• robots.txt AI allowlist — 96% of top domains haven't done this

Inputs

slug:          [identifier]
article-type:  BIZ | INFRA | CENTROID
headline:      [plain text]
lede:          [plain text]
draft-body:    [full draft]
skip-research: false  # set true to return schema only (quick mode)

Outputs

status:          ok | blocked
blocked-reason:  null | [string]

primary-claim:   "[single extractable sentence]"
claim-in-500:    true | false
token-estimate:  [integer]
entities:        [      ]
  [       ]


    
     

       
  
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