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Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• How do you handle outdated statistics or data on a Wikipedia page?

  File a Talk-page edit request that pairs the current figure with its new citation, and community editors review and implement it once the sourcing supports the change. The figure and the citation have to move together - updating the number while leaving the old reference attached gets reverted on verifiability grounds.

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• What is the role of Wikipedia references in establishing credibility?

  On Wikipedia, references are visible authority signals. An article cited to multiple authoritative, independent sources demonstrates notability, resists vandalism and bias, and gives AI engines a strong, credible signal to draw on.

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• What is the Arbitration Committee on Wikipedia and when does it matter?

  ArbCom is Wikipedia's highest-level dispute resolution body, handling intractable conduct disputes that standard processes cannot resolve. It matters only in rare, entrenched cases, essentially never in routine reputation work.

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• How do you handle Wikipedia content that appears in AI-generated answers?

  Fix the Wikipedia article, not the engine: correct it through a disclosed conflict-of-interest edit request, base the change on reliable secondary sources, then track how each AI engine picks it up. Retrieval engines (Perplexity, Google AI Overviews, ChatGPT Search) reflect the edit within hours to days; pre-training-based responses shift over months.

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• How do you manage a Wikipedia page for a company that operates across multiple countries?

  Cover global operations on the English article with region-specific sourcing (trade publications, language-specific press, regulatory filings), build articles on the language Wikipedias where each community's notability rules support them, and link every version to one canonical Wikidata entity through sitelinks so the company reads as one coherent entity for AI engines and the Knowledge Graph in any language.

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