Archived report

en.wikipedia.org — AI Search Visibility Report

This report was generated automatically from publicly observable signals and cached data. TriRank is not affiliated with en.wikipedia.org.

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Data freshness
Audit report: Data as of Jul 29, 2026Authority: Data as of Jul 29, 2026Linking Websites History: No cached dataDomain Rating: Data as of Jul 29, 2026Traffic estimates: Data as of Jul 29, 2026AI citations: No cached dataWHOIS: No cached data

Data as of Jul 29, 2026

Archived reporten.wikipedia.org
Audit report

en.wikipedia.org

SEO visibility

Solid foundation. A few technical and content gaps are holding back ranking.

AI / GEO visibility

Not measured yet — run a free audit to see whether AI cites you.

Structure vs. citations — the same AI Visibility, two layers

Being built for AI to cite you is not the same as AI actually citing you. Here's how far each one goes.

Layer 139/100
Structurally ready

Largely invisible to AI answer engines — a major GEO opportunity.

Layer 2–
Cited on this query

Not measured yet — run a free audit to see whether AI cites you.

Structure is measured. The citation check hasn't returned a full verdict this run — run it to see whether AI actually cites you.

Authority: Data as of Jul 29, 2026 · Traffic estimates: Data as of Jul 29, 2026

Estimates · third-party

Domain overview

Recent third-party estimates for this domain — Domain Rating by Ahrefs, backlinks & keywords via DataForSEO, traffic estimates via Similarweb.

en.wikipedia.org
Domain Rating
Backlinks
1.4B
Linking Websites
4.9M
Monthly Visits
835.2M
Bounce Rate
Pages / Visit
4.68
Visit Duration
4m 40s
Global Rank
—Stored reading has no figure for this
Country Rank
—Stored reading has no figure for this

Domain Rating by Ahrefs · backlinks & keywords via DataForSEO · traffic estimates via Similarweb

Linking Websites History
via DataForSEO

No monthly link history for this domain

This source didn't return data for this domain yet.

Monthly Visits History
Estimates via Similarweb
Traffic Sources
Estimates via Similarweb
  • Direct9.1%
  • Organic Search81.2%
  • Social3.2%
  • Referrals5.8%
  • Display ads0.1%
  • AI traffic0.5%
  • Email0.2%
  • Paid referrals0.0%
Top Regions
Estimates via Similarweb
  • United States41.3%
  • United Kingdom8.4%
  • India4.8%
  • Canada4.8%
  • Australia3.5%
AI Referrers
Estimates via Similarweb

AI traffic is 0.5% of all visits — the figures below split that 0.5%.

  • 1ChatGPT68.3%
  • 2Gemini16.9%
  • 3Claude7.5%
  • 4Perplexity—
  • 5Copilot—
  • 6Grok—
  • 7DeepSeek—

Engines Similarweb ranks but reports no figure for are shown as —. Shares are of AI traffic, not of all visits.

Top Keywords
via DataForSEO

No data available

This source didn't return data for this domain yet.

Issues found

6
Gap
XML sitemap
No valid sitemap.xml at the default path.
Gap
Meta description
Missing meta description.
Gap
llms.txt
No llms.txt — AI engines have no curated site summary.
Gap
FAQ schema
No FAQPage schema — answers are not machine-extractable.
Warn
Twitter card tags
0 Twitter card tag(s) found.
Warn
H1 heading
The page has 2 H1 tags. Use exactly one.
AI Insight
How en.wikipedia.org reads to AI search

From a GEO (generative engine optimization) standpoint, en.wikipedia.org currently sits in the strong authority band: a Domain Rating of 97 backed by 4.9M linking websites is what answer engines weigh when they pick citation candidates.

Its visits lean on Organic Search (81.2%). AI answer engines cite pages that resolve questions directly — a profile like this usually gains more AI citations from answer-shaped content and entity clarity than from chasing more links.

Where to optimize next

  • Add FAQ/Q&A blocks that answer the exact queries in Top Keywords.
  • Publish llms.txt and verify AI-crawler access so engines can read and attribute the site.
  • Tighten Organization schema and consistent entity naming so models connect the domain to its brand.

General GEO recommendations, the same for any site — not derived from this scan, with one exception: the llms.txt item is dropped when this scan already graded llms.txt and AI-crawler access a pass.

The two paragraphs above are templated from the third-party metrics on this page.

Homepage analysis

What we parsed from your homepage's server-rendered HTML. Descriptive detail — none of it changes your scores above.

Heading outline
H1 2H2 9H3 0H4 0H5 0H6 0
Level skips0
Keyword density
Total words2,143
wikipedia21 · 1.0%
featured17 · 0.8%
today11 · 0.5%
article10 · 0.5%
main10 · 0.5%
Images
Images found23
With title attribute0 / 23
Lazy placeholders0
Links
Internal / external208 / 459
Dofollow665
Nofollow2
hreflang
Declared alternates0
x-default fallbackNo
ads.txt
StatusNot published

No ads.txt is served at the default path. That is normal for sites that don't sell ads.

Parsed from the HTML as served to our crawler — not from a JavaScript-rendered browser view. That is what most AI crawlers read.

Cited by AI?

ChatGPT (web search)Not measured in this run
PerplexityNot measured in this run
Google (Gemini grounding)Not measured in this run
Claude (web search)Not measured in this run
Google AI OverviewNot measured in this run
Citations weren't measured in this run — three things that decide them+

A page that is missing from an AI answer usually failed at one of three stages, in this order. Each stage only matters once the one before it passes.

  1. 1 · Access — can AI crawlers reach the page?

    An engine can only cite a page its crawler is allowed to fetch. A robots.txt rule against GPTBot, ClaudeBot, PerplexityBot or Google-Extended, a noindex tag, or content behind a login removes the page from consideration before anything else is weighed. The AI-crawler and robots.txt checks above cover this stage.

  2. 2 · Extraction — can the content be parsed once fetched?

    A fetched page still has to yield clean, machine-readable text. Copy that appears only after client-side rendering, an unclear heading structure, or absent structured data all make the answer harder to lift cleanly. The JSON-LD, FAQ-schema and llms.txt checks above cover this stage.

  3. 3 · Grounding — is the page worth citing for that question?

    Reachable and parseable is not the same as chosen. Engines tend to cite the source that answers the question most directly and carries the clearest authority signals: a specific answer near the top of the page, a stated author or methodology, and corroboration elsewhere on the web. This is the stage a single scan can see the least of.

    See how TriRank writes citation-ready content

This is a diagnostic order, not a guarantee. Which sources an engine cites varies by question, by engine, and between runs of the same query — nothing on this list can promise a citation.

Needs a connection to measure

Core Web VitalsBacklink profileSearch Console indexingAI citation tracking

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