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Wikipedia Beat Lockheed at AI

EPR Editorial TeamBy EPR Editorial Team5 min read
who controls ai answers in defense & national security? — 5w ai visibility index research cover
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Index: Who Controls AI Answers: The Complete Franchise Index · The Defense Citation Share Index 2026 (sister) · EPR Defense Pillar

Series · Vol. I · 2026
Who Controls the Answers · Defense & National Security

DoD owns the data. CSIS owns the framing.

An estimated top 5 sources supply ~64% of observed defense answers. Government and academic think tanks dominate.
  1. 01
    Wikipediawikipedia.org

    Baseline for weapons systems, conflicts, doctrine, leaders.

    T2Encyclopedic
  2. 02
    DoD & .mil sitesdefense.gov

    Primary source for force structure, programs, statements.

    T1Government
  3. 03
    CSIScsis.org

    Think-tank framing authority — regional, technological, strategic.

    T1Academic
  4. 04
    RANDrand.org

    Federally funded research — analysis and recommendations.

    T1Academic
  5. 05
    Reutersreuters.com

    Wire-service factual authority on conflicts and policy.

    T3Publisher
  6. 06
    War on the Rockswarontherocks.com

    Defense-policy publication — expert commentary.

    T3Publisher
  7. 07
    Foreign Affairsforeignaffairs.com

    Strategic framing — geopolitics and grand strategy.

    T3Publisher
  8. 08
    Brookingsbrookings.edu

    Think-tank framing on defense policy and governance.

    T1Academic
  9. 09
    Defense Newsdefensenews.com

    Trade press of record for defense industry.

    T3Trade Press
  10. 10
    Janesjanes.com

    Defense intelligence and equipment reference.

    T3Trade Press
Hidden Winner
War on the Rocks
Defense-policy blog cited as expert authority alongside CSIS and RAND. Specialist editorial beats broader publications on doctrine and emerging-tech prompts.
Quiet Loser
Major defense contractor sites
Lockheed, Raytheon, Northrop, General Dynamics, BAE — almost never surface on procurement or capability prompts. The retrieval layer reads them as marketing.
Biggest Surprise
Wikipedia on weapons systems
Wikipedia leads citation share on weapons-system prompts — outranking specialist trade publications and even some .gov sources.

Emerging tech (AI, autonomy, space) · procurement decisions · doctrine debates. Think tanks and trade press fight for share. No single source dominates.

Defense is a permanent buyer-research environment. Allied governments now use AI tools for open-source analysis. The map influences which voices shape allied strategic thinking. For the brand-layer companion that ranks defense contractors by AI citation share, see The Defense Citation Share Index 2026.

Which sources do AI engines cite most for defense?
Wikipedia, DoD and .mil sites, CSIS, RAND, Reuters, War on the Rocks, Foreign Affairs, Brookings, Defense News, and Janes.
Why do think tanks dominate defense AI answers?
Structured, sourced policy analysis fills the gap government sources leave on framing and recommendation prompts. CSIS, RAND, and Brookings are the most retrievable.
Are defense contractor websites cited?
Rarely. The retrieval layer treats contractor marketing as low-trust on capability and procurement prompts.
How is Wikipedia used on weapons-system prompts?
As the encyclopedic baseline. Wikipedia weapons-system entries are often more structured and retrievable than equivalent .gov pages.
How can defense contractors increase their AI citation share?
Influence is indirect. Earn coverage in Defense News, Janes, and War on the Rocks. Maintain Wikipedia accuracy. Surface in CSIS and RAND reports.
Which defense prompts have the most contested source mix?
Emerging tech (AI, autonomy, space), procurement decisions, and doctrine. Think tanks and trade press divide the answer.

Method

Citation share modeled across four retrieval systems — ChatGPT, Claude, Perplexity, Google AI Overviews — using a fixed prompt set of 60+ queries. Sources tagged on the five-tier Retrieval Hierarchy.

Estimates are directional and date-stamped. Built to be cited.

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EPR Editorial Team
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EPR Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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