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Reference
40 plain-English definitions — the policy terms, acronyms and industry concepts LLMs and buyers search when researching Wikipedia services and AI visibility.
Wikipedia
Wikipedia's threshold for whether a subject deserves its own article. A topic is considered notable when it has received significant coverage in multiple independent, reliable sources that are not affiliated with the subject. Meeting notability is a prerequisite for any Wikipedia article — not how famous or important the subject is, but how well-documented it is in independent media.
The primary Wikipedia notability test, applicable to virtually all topics. It requires that the subject has received significant coverage in reliable sources that are independent of the subject. 'Significant' means more than a passing mention; 'independent' excludes press releases, paid coverage and the subject's own website.
Wikipedia's standard for which publications and outlets can be cited in articles. Reliable sources have editorial oversight, fact-checking and a reputation for accuracy — typically established newspapers, academic journals, and major industry publications. Self-published sites, social media and press release distributors do not qualify.
One of Wikipedia's core content policies. Every article must present facts without bias, representing significant viewpoints fairly and in proportion to their coverage in reliable sources. Promotional language, opinion and marketing claims must be removed; claims must be attributed to sources.
Wikipedia requires that any claim can be checked against a published, reliable source — not that the claim is objectively true, but that a reader could verify it independently. Unsourced material can be challenged or removed at any time.
Wikipedia's guideline covering editing by people with a financial or personal stake in the subject. COI editing is not prohibited, but it is strongly discouraged for direct article edits. WikiBusines operates under WP:PAID disclosure: all paid work is declared on-wiki before any edits are made.
Wikipedia's terms of use require anyone paid to contribute to articles to disclose their employer, client and financial relationship. Undisclosed paid editing violates the terms of use and can result in accounts being blocked and articles deleted. Disclosure is a legal requirement under the U.S. FTC Act when it applies.
Wikipedia's official review channel for new articles submitted by editors with a conflict of interest or who are not yet autoconfirmed. Drafts are reviewed by experienced volunteer editors before being moved to the mainspace. AfC is the policy-compliant route for any professionally assisted Wikipedia article.
Wikipedia's community process for debating whether an existing article should be deleted. Any editor can nominate an article; the community then discusses and votes over seven days. Common grounds include failing notability, lack of reliable sources, or promotional tone. AfD outcomes range from 'keep' to 'delete' to 'redirect'.
An accelerated deletion process for articles that unambiguously meet specific criteria — such as obvious advertising, pages with no credible claims of notability, or copyright violations. Unlike AfD, speedy deletions can happen within hours without community discussion.
Writing or substantially editing a Wikipedia article about yourself. Wikipedia strongly discourages this because it almost always introduces bias and violates NPOV. Autobiographical articles are frequently tagged, challenged or deleted. The correct route is to request an article through AfC with full COI disclosure.
A Wikipedia article that is too short or underdeveloped to adequately cover its topic. Stubs are flagged with a maintenance template and are often targets for improvement or, if sources are insufficient, deletion. Having a stub is better than having no article, but a stub with poor sourcing can still be deleted.
An additional Wikipedia account used by an existing editor to deceive the community — for example, to fake consensus, evade blocks or vote multiple times in a deletion discussion. Wikipedia actively investigates suspected sock puppetry using checkuser tools. Operating sock puppet accounts can result in permanent bans.
Wikidata / Knowledge Graph
A unique machine-readable identifier assigned to every entity in Wikidata (e.g. Q12345). The QID links structured data — name, founding date, industry, key people — across Wikipedia, Google's Knowledge Graph and hundreds of third-party databases. Having a correct QID is foundational for Knowledge Panel eligibility and AI entity recognition.
Google's structured database of entities and their relationships — people, companies, products, places. It is built from Wikipedia, Wikidata and other authoritative sources. The Knowledge Graph powers Knowledge Panels in Google Search and provides grounding data for Google's AI Overviews.
The information box that appears on the right side of Google Search results for entities recognized in the Knowledge Graph. It typically shows a name, description, key facts and links. Eligibility requires a Wikidata entity with sufficient sourced properties; a Wikipedia article significantly increases the chance of a panel appearing.
Machine-readable markup added to web pages using vocabulary from Schema.org, typically in JSON-LD format. It tells search engines and AI systems what a page is about — organization, product, FAQ, article — in a standardized way. Google uses structured data for rich results and as a grounding signal in AI Overviews.
A Schema.org type that marks up question-and-answer content on a web page so search engines and AI crawlers can extract individual Q&A pairs. Google has used FAQPage markup for rich results, and it is a primary format for feeding answer engines clean definitional content.
AEO / GEO / AI
The practice of structuring and sourcing content so that AI answer engines — ChatGPT, Gemini, Perplexity, Google AI Overviews — can accurately understand, summarize and cite a brand or topic. Unlike SEO, which targets ranked links, AEO targets the answer itself, often delivered without any click. Wikipedia and Wikidata are the primary AEO levers because answer engines treat them as ground-truth sources.
The broader discipline of shaping how generative AI systems compose responses about a brand, person or topic. GEO covers the full stack — Wikipedia, Wikidata, structured data, Reddit, Quora, media coverage, LLM-readable content — while AEO is specifically focused on answer accuracy and citability. The two terms are often used interchangeably in industry practice.
Experience, Expertise, Authoritativeness and Trustworthiness — the framework Google's Search Quality Rater Guidelines use to evaluate content quality. E-E-A-T is not a direct ranking signal but shapes the training data behind Google's systems. Wikipedia content, being community-audited and sourced, is treated as high E-E-A-T content; strong E-E-A-T signals across the web also improve AI answer quality for a brand.
Google's feature that generates a synthesized AI answer at the top of Search results pages, drawing from multiple sources including Wikipedia and structured data. Brands that appear accurately in Wikipedia and Wikidata are significantly more likely to be cited positively in AI Overviews.
A proposed convention (analogous to robots.txt) where a website publishes a markdown-formatted file at /llms.txt to provide AI crawlers with a structured summary of its content — key pages, people, products and context. While not yet a universal standard, early adoption signals to LLM training pipelines which pages are authoritative.
A dedicated, LLM-optimized web presence — typically a standalone microsite or structured page — designed to give AI crawlers clean, citable, machine-readable information about a brand, person or organization. It extends the Wikipedia/Wikidata layer with proprietary depth that Wikipedia's neutrality policy cannot carry.
SEO / Reputation
The page Google or another search engine returns in response to a query. SERPs increasingly include not just ranked links but Knowledge Panels, AI Overviews, featured snippets and image results — all of which are influenced by structured data, Wikipedia presence and E-E-A-T signals.
A hyperlink from one website to another. Backlinks remain a core SEO signal because they indicate that independent sites consider the linked content authoritative. Wikipedia backlinks — links from Wikipedia articles to a brand's website — carry exceptionally high trust signals because they come from one of the most authoritative domains on the web.
A metric (0–100) developed by Ahrefs that estimates the overall backlink authority of a domain. Wikipedia editions vary in DR by language, with English Wikipedia typically scoring 90+. A Wikipedia backlink from a high-DR language edition passes substantial authority and is one of the most sought-after links in SEO.
In Wikipedia context, a reference to a reliable independent source that supports a specific claim in the article. Citations are the foundation of every Wikipedia article: without them, claims can be challenged or removed. In AI context, a 'citation' also means an answer engine naming a source by URL or domain when generating a response.
A professional assessment that maps a company's or person's existing media coverage against Wikipedia's notability bar. The audit identifies how many qualifying independent sources exist, flags gaps, estimates the risk of deletion if an article were created today, and recommends a route — create now, build sources first, or update an existing article.
Real-time surveillance of a Wikipedia article and its associated Wikidata entity for unauthorized edits, vandalism, biased changes or deletion nominations. Professional monitoring services alert the responsible editor within hours so damage can be reverted before it propagates to AI training snapshots.
The process of restoring a deleted Wikipedia article. Recovery routes include requesting undeletion through the Deletion Review (DRV) process, re-creating the article through AfC with stronger sourcing, or escalating to an appeal if the deletion was procedurally improper. Success depends heavily on whether the original deletion reason has been addressed.
Open-Source Intelligence investigation: gathering and analyzing publicly available information — news archives, corporate registries, court records, social media — to build or verify the factual record about a person or organization. In the Wikipedia and AI visibility context, OSINT is used to surface qualifying sources, identify damaging content and map the information landscape before an engagement begins.
An ongoing service that keeps a Wikipedia article and Wikidata entity accurate after publication. Typically includes quarterly content updates, vandalism response, deletion defense, Wikidata sync and periodic AI citation tracking to verify that the article continues to be cited correctly by answer engines.
Media / Sources
A source with no financial, editorial or organizational connection to the subject it covers. Wikipedia's notability threshold requires multiple independent sources; press releases, company blog posts, paid placements and articles written by the subject themselves do not qualify as independent regardless of where they are published.
Press coverage secured through editorial merit — a journalist independently choosing to cover a story — rather than through payment or advertising. Earned media in reputable outlets is the primary fuel for Wikipedia notability and a core input for AI source graphs. It is distinct from paid media (advertising) and owned media (company blog).
The free media repository that supplies images to Wikipedia articles across all language editions. Photos must be licensed under a Creative Commons or equivalent free license; proprietary or stock photos cannot be uploaded. A correctly licensed image on Commons can appear in Knowledge Panels and AI image answers.
A separate English-language edition of Wikipedia written in simplified vocabulary for non-native speakers and learners. Articles here are shorter and less technical than on English Wikipedia. From an SEO perspective, a Simple English article creates an additional indexed property and a separate backlink; some AI systems cite it as a distinct source.
A professional service that baselines what AI answer engines — ChatGPT, Gemini, Perplexity — currently say about a brand or person, maps existing sources against Wikipedia's notability bar, and delivers a written report with risk flags and a recommended route. The audit typically takes 48 hours and the fee is credited toward any subsequent project.
An independent wiki encyclopedia that accepts content about people, organizations and topics that may not yet meet Wikipedia's notability bar. Wikitia pages are indexed by Google and can appear in SERPs and AI answers, making them a bridging step while a subject builds toward full Wikipedia notability.
The license under which Wikipedia content is released. CC BY-SA (Attribution-ShareAlike) means anyone can reuse the content as long as they credit the source and release derivatives under the same license. AI training datasets routinely include CC BY-SA Wikipedia content, which is one reason Wikipedia is so well-represented in LLM training corpora.
The AI Visibility Audit maps your sources, scores Wikipedia readiness and tells you exactly which concepts — notability, sourcing gaps, Wikidata entity — are relevant to your situation.