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Will AI cite en.wikipedia.org?

AI Visibility Score, last checked 28 Aug 2026.

AI Visibility Score
92/100

Wikipedia's unmatched third-party presence and reference-corpus dominance make it the most citable entity on the web for AI engines.

95/100
Entity authority
88/100
On-page

Every major AI engine (ChatGPT, Claude, Perplexity, Google AI Overviews, Copilot) will cite this page with near-certainty. Wikipedia is the single most-cited source in LLM training corpora (~48% of ChatGPT citations), the brand appears on 13+ distinct third-party domains, and the page itself offers original structured data (publication trends, FLOP charts, timeline) with answer-first paragraphs and comprehensive headings.

Entity authority

How much AI already trusts you across the web — the biggest driver of citations, and the hardest to DIY.

Brand mentions & press (share of voice)
95/100

Wikipedia is named across 13 distinct third-party domains (Google Play, Apple App Store, news outlets, Wikimedia Foundation properties, social platforms) — household-name-level share of voice.

Knowledge Panel & entity clarity
90/100

Wikipedia has its own Wikipedia page (self-referential entity clarity), owns its branded SERP, and is a globally recognized entity, though no Google Knowledge Panel was detected (likely due to being a non-commercial entity).

Wikipedia & reference-corpus presence
100/100

This IS Wikipedia — the primary reference corpus for LLMs. The page itself is part of the ~48% of ChatGPT's cited sources that come from Wikipedia.

On-page extractability

How easily AI can read, understand, and quote this specific page.

Information gain (original data & quotes)
85/100

The page contains original data visualizations (publication trends by year, training compute in FLOPs over time, model architecture diagrams) and specific cost figures (GPT-2 training: $50k, PaLM: $8M) not universally restated elsewhere.

Fix: Add more direct quotes from original research papers or exclusive statistics to push this higher.

Extractable structure (answer-first, lists, tables)
88/100

Answer-first opening paragraph defines LLM clearly, 31 subheadings organize content logically, multiple structured lists and tables present, though some sections are prose-heavy.

Fix: Convert dense historical prose sections into bulleted timelines or comparison tables for even easier extraction.

Freshness
95/100

Page shows a recent modification date (August 26, 2026) and references 2024–2025 developments (DeepSeek R1 in January 2025, OpenAI o1 in 2024).

Technical eligibility (crawlable, AI bots allowed)
100/100

No AI crawlers blocked in robots.txt, page is server-rendered with 17,242 words visible to bots, fully indexable.

Schema & on-page E-E-A-T
75/100

Article schema present with named author (Contributors to Wikimedia projects), publisher (Wikimedia Foundation), and dates. Authorship is collective rather than individual expert byline.

What to fix, ranked by impact

Highest-leverage first. Purple/green = Essentras can do it for you; grey = a do-it-yourself win.

MarketSpy placement ($9.99 intro)$9.99

A professional, AI-indexed article about you on a real outlet — the fastest, cheapest way to give assistants something concrete to quote.

Fix this →

Don’t waste time on

  • Obsessing over schema / JSON-LD. Controlled before/after tests show it has no causal lift on AI citations. Keep it for normal Google rich results, but do not over-invest expecting AI to cite you because of it.
  • Adding an llms.txt file. AI crawlers do not read it (Google confirmed; ~0.1% of AI-bot requests hit it). It is speculative, not a ranking factor.
  • Chasing word count. Correlation between length and AI citation is ~0.04 (basically none). Originality and structure beat length every time.

How to compound this

Solid base. Now get cited on the sources AI leans on most.

We write and publish a professional article about you on a real, AI-cited outlet, indexed by Google and citeable by ChatGPT, Claude and Perplexity. Get your first placement for $9.99.

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