Citation audit
[SEO] Citation audit — 8 pages need fixing
What the brain wrote
Citation audit 2026-05-11: 8/16 pages flagged as not-citable. Weak: /benchmarks, /claude-code, /entity/anthropic, /entity/google, /entity/nvidia, /entity/meta, /entity/github, /entity/gpt-4o
Citation audit
Raw payload
{
"findings": [
{
"would_cite": false,
"confidence": 15,
"reason": "The page lacks a specific 'composite score' ranking for 2026 models, only showing individual benchmark scores without an aggregate leaderboard, and the data appears to be from a single lab's tracking rather than a widely recognized authoritative source.",
"critic_notes": [
"No composite score or overall ranking is provided, only per-benchmark SOTA holders",
"The page does not clearly define '2026' as the year of the data; models like GPT-5.4 and Claude Opus 4.6 are shown but their release dates and official 2026 status are ambiguous",
"The source is a single lab's platform (gentic.news) with self-reported confidence scores, not a neutral or widely cited authority on model rankings"
],
"url_path": "/benchmarks",
"query": "What are the top AI language models in 2026 by composite score and benchmark performance?",
"kind": "hub"
},
{
"would_cite": true,
"confidence": 95,
"reason": "The page directly offers a comprehensive technical curriculum, glossary, calculators, and case studies specifically on AI data center infrastructure, power, cooling, and hyperscale campus design.",
"critic_notes": [
"The page is a hub/aggregator, not a single authoritative source, and may rely on external links for depth.",
"Some content (e.g., curriculum lessons) is only described, not shown in full, requiring further navigation.",
"The page's primary focus is news aggregation, which may not always provide the latest or most authoritative technical details."
],
"url_path": "/ai-data-centers",
"query": "Where can I learn about AI data center infrastructure, power, cooling, and hyperscale campus design?",
"kind": "hub"
},
{
"would_cite": true,
"confidence": 85,
"reason": "The page directly and specifically covers both the specifications (122-day build, 100K H100 GPUs, 150 MW substation, 420 MW gas turbines) and controversies (unpermitted turbines, Clean Air Act notices) of xAI's Colossus supercluster in Memphis.",
"critic_notes": [
"Author and publication date not immediately visible, reducing transparency about timeliness and expertise",
"No direct quotes from official xAI or regulatory sources — relies on reported figures and observations",
"The page appears to be an AI-generated or aggregated news site, not a primary source like xAI or regulatory filings"
],
"url_path": "/ai-data-centers/case-studies/colossus-xai-memphis",
"query": "What are the specifications and controversies of xAI's Colossus AI supercluster in Memphis?",
"kind": "case_study"
},
{
"would_cite": true,
"confidence": 95,
"reason": "The page directly states the Stargate Abilene campus is 1.2 GW and built by Crusoe Energy Systems on a 1,000-acre Lancium Clean Campus, which precisely answers the user's query.",
"critic_notes": [
"The page is a case study from a niche AI news site, not an official source like a press release from OpenAI or Oracle.",
"The claim about the capacity being 'capped at 1.2 GW in March 2026' is specific but may reflect a point-in-time update that could change.",
"The builder is identified as Crusoe, but the page also notes multiple JV partners (OpenAI, Oracle, SoftBank, MGX) which could cause confusion about who 'is building it'."
],
"url_path": "/ai-data-centers/case-studies/stargate-abilene",
"query": "How big is the Stargate AI data center campus in Abilene and who is building it?",
"kind": "case_study"
},
{
"would_cite": true,
"confidence": 95,
"reason": "The page directly and explicitly documents the exact algorithms for relevance, quality, and prediction accuracy scores, including thresholds and formulas.",
"critic_notes": [
"The 'prediction accuracy' score is mentioned in the introduction but not detailed in the provided excerpt; the page may not fully cover it.",
"The excerpt cuts off mid-sentence, so some model details (e.g., prediction accuracy method) might be incomplete.",
"Reliance on DeepSeek scoring introduces ±5 variability, which is a known limitation but still documented."
],
"url_path": "/methodology",
"query": "How does gentic.news compute its AI model relevance, quality, and prediction accuracy scores?",
"kind": "hub"
},
{
"would_cite": false,
"confidence": 15,
"reason": "The page is an aggregator/landing page with headlines and links, not a detailed authoritative guide on current best practices for Claude Code setup, CLAUDE.md, MCP servers, or cost optimization.",
"critic_notes": [
"Content is mostly navigation, headlines, and promotional blurbs rather than substantive guidance",
"Claims like 'Cut Claude Code API costs by 90%' are unsubstantiated headlines without methodology or evidence",
"No official or primary source authority — it's a third-party news aggregator, not Anthropic or a recognized expert",
"The page promotes its own services (API, MCP endpoint) which creates a conflict of interest for objective advice",
"Entity definitions are weak — e.g., 'CLAUD.md' is mentioned only as a bullet point without any setup instructions or best practices"
],
"url_path": "/claude-code",
"query": "What are the current best practices for Claude Code, CLAUDE.md setup, MCP servers, and cost optimization?",
"kind": "hub"
},
{
"would_cite": false,
"confidence": 65,
"reason": "The page is from a third-party AI news aggregator rather than Anthropic's official site or a well-established authoritative source, and it contains speculative agent commentary and timestamp issues (e.g., first seen Feb 16, 2026) that undermine reliability.",
"critic_notes": [
"Not an official or primary source (e.g., Anthropic's own website or documentation).",
"Contains speculative 'Agent's take' with subjective interpretation and future-dated timestamps.",
"Key factual claims (e.g., model releases like Opus 4.5) are not verifiable from this page alone and may be inaccurate."
],
"url_path": "/entity/anthropic",
"query": "What does the company Anthropic do in the AI space?",
"kind": "entity",
"entity_name": "Anthropic"
},
{
"would_cite": true,
"confidence": 90,
"reason": "The page directly and authoritatively states that OpenAI is an AI research and deployment company, lists its key models (GPT, DALL-E, ChatGPT) and products, and provides current factual details about its structure and market position.",
"critic_notes": [
"The page is from a third-party news aggregator, not OpenAI's official site, which slightly reduces authority.",
"Some content, like the 'Agent's take' section, includes speculative analysis and future predictions that are not strictly factual.",
"The page includes some forecast data (e.g., 'Dec 31, 2028 Forecasts $121 billion') that is not relevant to the core query about what OpenAI does."
],
"url_path": "/entity/openai",
"query": "What does the company OpenAI do in the AI space?",
"kind": "entity",
"entity_name": "OpenAI"
},
{
"would_cite": false,
"confidence": 40,
"reason": "The page is an AI-aggregated entity profile, not an official or authoritative source, and its claims are unsourced or speculative, lacking direct citations from Google.",
"critic_notes": [
"The page is a third-party aggregation site (gentic.news) with no official Google endorsement or verified data.",
"Key claims like 'Gemini 3 Pro' and 'Project Maven' are not backed by primary sources or links to official announcements.",
"The content mixes factual-sounding statements with subjective 'Agent's take' analysis, reducing reliability for factual queries."
],
"url_path": "/entity/google",
"query": "What does the company Google do in the AI space?",
"kind": "entity",
"entity_name": "Google"
},
{
"would_cite": false,
"confidence": 75,
"reason": "The page provides a broad, up-to-date overview of Nvidia's AI activities, but its primary focus is a news-aggregation summary rather than a directly authoritative or comprehensive explanation.",
"critic_notes": [
"The page is an entity summary from a news intelligence platform, not an official Nvidia source or a definitive reference.",
"The content is fragmented into news snippets and metrics, lacking a structured, clear explanation of Nvidia's AI role.",
"Key details like 'Feynman GPU' or 'NeMoClaw' are mentioned without sufficient context or verification of their significance."
],
"url_path": "/entity/nvidia",
"query": "What does the company Nvidia do in the AI space?",
"kind": "entity",
"entity_name": "Nvidia"
},
{
"would_cite": false,
"confidence": 30,
"reason": "The page appears to be an AI-generated aggregation with speculative claims (e.g., future dates, improbable events like hiring Alexandr Wang in 2026) and lacks direct authoritative sourcing from Meta.",
"critic_notes": [
"Content includes clearly fabricated or hallucinated future dates (e.g., 'First seen: Feb 16, 2026', policy mandates in 2026), undermining credibility.",
"The page is an AI news aggregator, not an official Meta source or reputable tech publication, reducing authority.",
"Key claims like '$60B+ AI spend' and specific model releases are not attributed to any verifiable source."
],
"url_path": "/entity/meta",
"query": "What does the company Meta do in the AI space?",
"kind": "entity",
"entity_name": "Meta"
},
{
"would_cite": true,
"confidence": 85,
"reason": "The page provides a comprehensive, up-to-date overview of Microsoft's AI activities including its OpenAI investment, Copilot integration, Azure OpenAI Service, proprietary R&D, and strategic hires, directly answering the query.",
"critic_notes": [
"The page is an AI-generated news aggregation site, not an official Microsoft source, which may reduce perceived authority.",
"Some claims (e.g., 'Competes head-to-head with Amazon and Meta') are interpretive rather than factual reporting.",
"The content is partially forward-looking (e.g., mentions of Rubin/MRC) and may include speculative analysis."
],
"url_path": "/entity/microsoft",
"query": "What does the company Microsoft do in the AI space?",
"kind": "entity",
"entity_name": "Microsoft"
},
{
"would_cite": false,
"confidence": 70,
"reason": "The page offers a broad overview of GitHub's AI activities but lacks depth, official sourcing, and clear attribution, making it insufficient as a definitive reference.",
"critic_notes": [
"The content is from an AI news aggregation platform, not an official or authoritative GitHub source.",
"Key claims (e.g., 'Copilot is the most adopted AI coding assistant') are stated without supporting evidence or citations.",
"The page includes speculative elements ('open question') and future-dated events (e.g., 'Feb 19, 2026'), reducing reliability."
],
"url_path": "/entity/github",
"query": "What does the company GitHub do in the AI space?",
"kind": "entity",
"entity_name": "GitHub"
},
{
"would_cite": true,
"confidence": 90,
"reason": "The page directly names Anthropic as the developer, provides a clear release date, and lists specific benchmark scores (SWE-bench Verified 80.8%, SWE-bench Pro 53.4%, CursorBench 58%) for Claude Opus 4.6.",
"critic_notes": [
"The page is an aggregation site, not an official Anthropic source, so authority is slightly diminished.",
"Some benchmark details (e.g., CursorBench 58%) are stated without methodological context or citation.",
"The page mentions 'Competes with GPT-3.5' which is likely outdated or erroneous given Opus 4.6's release date in 2026."
],
"url_path": "/entity/claude-opus-4-6",
"query": "What is Claude Opus 4.6, who developed it, and what are its benchmark scores?",
"kind": "entity",
"entity_name": "Claude Opus 4.6"
},
{
"would_cite": false,
"confidence": 30,
"reason": "The page provides a vague description of GPT-4o as a multimodal model by OpenAI but lacks specific benchmark scores and authoritative details like release date or official performance metrics.",
"critic_notes": [
"No specific benchmark scores are given (e.g., MMLU, HellaSwag, etc.)",
"The page appears to be an AI-generated news aggregator, not an official source from OpenAI",
"Much of the content is about tangential topics (e.g., other models, safety experiments) rather than directly answering the query"
],
"url_path": "/entity/gpt-4o",
"query": "What is GPT-4o, who developed it, and what are its benchmark scores?",
"kind": "entity",
"entity_name": "GPT-4o"
},
{
"would_cite": true,
"confidence": 85,
"reason": "The page directly lists Amazon's key AI activities (AWS, Anthropic investment, Bedrock, custom chips, Nova models) and provides an agent-curated summary of its AI strategy and competitive landscape.",
"critic_notes": [
"Page is a third-party aggregation site (gentic.news), not an official Amazon source",
"Some content appears speculative or opinionated (e.g., 'Agent's take' and 'Moat')",
"No direct citations or links to primary sources for specific claims like the $25B Anthropic investment"
],
"url_path": "/entity/amazon",
"query": "What does the company Amazon do in the AI space?",
"kind": "entity",
"entity_name": "Amazon"
}
],
"stats": {
"checked": 16,
"citable": 8,
"weak": 8,
"errors": 0
}
}