| 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
Outputs
status: ok | blocked
blocked-reason: null | [string]
primary-claim: "[single extractable sentence]"
claim-in-500: true | false
token-estimate: [integer]
entities: [ ]
[ ]
[ ]
[ ]
[ ]
