What is Wikidata?

Wikidata is a free, multilingual knowledge base run by the Wikimedia Foundation that stores facts about people, companies, places, and concepts as structured, machine-readable statements. Every entry carries a permanent identifier with the prefix Q, such as Q2013 for Wikidata itself. Search engines and AI systems use these identifiers to recognize an entity unambiguously and to cross-check facts about it against other sources.

Term profile at a glance

How is a Wikidata entry structured?

A Wikidata entry consists of an identifier, a description in several languages, and a list of statements, each backed by a source. Wikidata calls such an entry an item. It is made up of individual facts that a program can read without interpretation.

An item has 5 building blocks:

• QID: The identifier made of the letter Q and a number. It stays the same even when the name or description changes, which makes it the fixed anchor for the entity.
• Label, description, and aliases: The name, a short classification, and alternative spellings, kept separately for each language.
• Statements: Each statement connects a property with a value. Properties carry the prefix P, such as P856 for the official website.
• Qualifiers and references: Qualifiers refine a statement (for example with a time period), references back it up with a source.
• Sitelinks: Links to the matching articles on Wikipedia and other Wikimedia projects, where such articles exist.

For a company, these properties are the most common:

The value of a statement is often an item in its own right. The statement “headquarters location: Munich” points to the item for the city of Munich with its own QID. These connections form a knowledge graph in which every entity is described through its relationships to other entities. In early 2025, Wikidata held more than 1.6 billion such statements.

Why does a company need a Wikidata entry?

A Wikidata entry makes a company unambiguously identifiable for machines and provides an independent, openly readable confirmation of its core facts. That pays off in 4 places:

• Disambiguation: When several companies or people share a similar name, the QID reliably separates them. Search systems no longer have to guess from context which company is meant.
• Knowledge Graph and knowledge panel: Wikidata is one of the structured sources from which Google takes facts for its Knowledge Graph. In December 2014, Google announced that it would shut down its own database Freebase and move its content to Wikidata. An entry strengthens the data available for a knowledge panel, but it does not guarantee one.
• AI answers: Wikidata is freely licensed and fully accessible by machine. Its data therefore flows into many datasets that language models work with, and into systems that look up facts at answer time. An LLM that knows a company by its QID is less likely to confuse it with a namesake.
• Consistency: Name, headquarters, founding year, and website sit in one place that other sources reference. When the website, directories, and Wikidata contradict each other, trust in all three drops. The same logic applies to NAP data in local search.

A Wikidata entry is therefore one building block of entity work. It takes effect together with structured data on your own website, consistent profiles, and brand mentions in independent sources. This interplay is the core of GEO, optimization for AI visibility.

Which companies are allowed to create a Wikidata entry?

Any company that can be described unambiguously with serious, publicly available sources can have a Wikidata entry. Wikidata’s notability policy names 3 criteria, and meeting one is enough:

1. Sitelink: The item has an article on Wikipedia or another Wikimedia project.
2. Verifiable entity: The item is a clearly identifiable entity that can be described using serious and publicly available references.
3. Structural need: The item is needed to make statements in other entries useful, for example as the employer of a person who is already recorded.

For most mid-sized companies, the path runs through the second criterion. Suitable references include the commercial register entry, authority identifiers such as an ISNI, press coverage, industry directories, and chamber or association memberships. Your own website alone rarely counts as a reference, because it is not an independent source.

The community decides on disputed entries through deletion requests. Entries that read like advertising or whose statements lack a reference are regularly deleted. A Wikidata entry therefore stays sober, factual, and referenced in every statement.

How do you create a Wikidata entry for a company?

A Wikidata entry is created in 6 steps, from the duplicate check to the link back from your own website. The biggest effort is gathering the references.

1. Check for duplicates: Search wikidata.org for the company name, former names, and spelling variants. If an entry already exists, you extend that one.
2. Create a user account: A registered account makes edits traceable and comes across as more trustworthy to the community than an anonymous IP address.
3. Create a new item: Use “Create a new Item” to enter the label, description, and aliases, at least in German and English. The description is short and neutral, for example “search engine optimization company from Munich”.
4. Add statements with references: Type of organization, official name, inception, headquarters, website, and industry. Every statement gets a reference, for example the URL of the register entry.
5. Link identifiers: Add external identifiers such as ISNI, OpenCorporates, or the LinkedIn company page as separate statements. Each identifier connects the entry with another source that describes the same entity.
6. Link back from your website: Add the QID to the Organization schema on your own website as sameAs. Only this link back closes the loop between your website and Wikidata.

This is what the link back looks like in JSON-LD, with placeholders for the domain and the QID:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://www.example.com/#organization",
  "name": "Example Inc.",
  "url": "https://www.example.com/",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q999999999",
    "https://www.linkedin.com/company/example/"
  ]
}

After that, the same rule applies as for any source about your company: When the headquarters, name, or website changes, update the entry. An outdated Wikidata entry contradicts your own website and weakens exactly the signal it is meant to strengthen.

What is the difference between Wikidata and Wikipedia?

Wikipedia explains a topic in prose, Wikidata stores the facts behind it as individual, language-independent records. Both projects belong to the Wikimedia family and are closely connected: Many Wikipedia infoboxes pull their values directly from Wikidata.

For a company without a Wikipedia article, Wikidata is the realistic way into the Wikimedia world. A Wikipedia article cannot simply be created, because the German-language Wikipedia only includes companies with high figures such as headcount and revenue or with outstanding significance. A Wikidata entry only requires that the facts can be verified.

Frequently asked questions about Wikidata

Does a Wikidata entry cost anything?
No. Creating and editing entries is free, and anyone with internet access can contribute. Costs only arise when a service provider takes over researching the references and maintaining the entry.

Do I need a Wikipedia article to get a Wikidata entry?
No. A sitelink to Wikipedia is only one of 3 ways to meet the notability criteria. A company that can be described unambiguously with serious, public sources meets them without an article as well.

Can I edit my company’s Wikidata entry myself?
Yes. Wikidata is freely editable, including by the company itself. Every change appears in the revision history, and the community reviews it. Stick to neutral, referenced facts, and the entry will stay.

What is white hat SEO?

White hat SEO covers all search engine optimization practices that comply with search engine guidelines, above all the spam policies of Google Search. White hat SEO relies on high-quality content, clean technology, and honestly earned links instead of manipulation. The term comes from Western movies: the hero wears the white hat, the villain the black one.

Term profile at a glance

How does white hat SEO differ from black hat SEO?

White hat SEO follows search engine guidelines, black hat SEO deliberately violates them. The difference shows in 4 points:

What is grey hat SEO?

Grey hat SEO covers tactics in the grey area between allowed and forbidden: they do not clearly violate the guidelines, but nobody would use them without ranking intent. Three typical examples are paid guest posts with follow links, rebuilding expired domains for their backlinks, and mass-produced pages with little value of their own.

The risk lies in time: what is grey today can be black tomorrow. Search engines refine their guidelines continuously, and spam updates hit grey-area tactics retroactively. If you build your business on grey hat effects, your visibility depends on the next rule change.

Which practices count as white hat SEO?

White hat SEO rests on 5 pillars:

1. Content that fully serves the search intent: The text answers the question behind the query instead of repeating a keyword.
2. Clean technology: Fast load times, crawlability, mobile rendering, and a clear site structure.
3. Honest link building: Links appear because content is worth citing, for example through data, studies, and digital PR.
4. Traceable authorship: Sources, evidence, and recognizable expertise in the sense of E-E-A-T.
5. Structured data: Machine-readable markup that describes content correctly without faking anything.

Sustainable search engine optimization is white hat at its core: serious SEO services build visibility that survives updates instead of gambling with it.

Frequently asked questions about white hat SEO

Is white hat SEO slower than black hat SEO?
At the start, often yes: black hat tactics can force rankings in the short term. White hat SEO, however, builds visibility that survives Google updates and manual reviews. Calculated over 12 to 24 months, the compliant path almost always comes out ahead, because penalties more than erase the short-term advantage.

Does white hat SEO guarantee good rankings?
No. No serious provider guarantees positions, because rankings depend on competition and algorithm updates. White hat SEO does, however, minimize the risk of losing built-up visibility to a penalty.

What role does white hat SEO play for AI visibility?
A big one: AI systems like ChatGPT and Google’s AI answers prefer to cite sources with clear, substantiated statements and traceable authorship. Exactly these quality signals come from white hat SEO, while manipulated content rarely appears as a citable source.

What is a WDF*IDF analysis?

A WDF*IDF analysis is an advanced method of text analysis used in search engine optimization (SEO). WDF*IDF stands for Within Document Frequency times Inverse Document Frequency. The goal of the analysis is to make a text more relevant for particular search terms by working out how much weight each keyword should carry.

The method shows which words a text uses more or less often than an average document from a given collection, a website or a news feed for example. The formula helps you find the optimal frequency for your keywords so that search engines rate the page higher, without walking into the trap of keyword stuffing.

How does a WDF*IDF analysis help my SEO?

A WDF*IDF analysis is a powerful tool in SEO because it helps you shape content that search engines read as particularly relevant for a given keyword.

By adjusting keyword weighting on the basis of the analysis, site owners can make sure their content stays natural and informative for search engines and for readers alike. That often leads to better placements in the search results, a higher click rate and, in the end, more traffic.

The method also helps you find and close content gaps, meaning topics your own content does not yet cover well enough although they matter to your target audience. If you would rather have that work done for you, it is part of our SEO services.

How do I run a WDF*IDF analysis?

To run a WDF*IDF analysis you first need a set of documents to serve as your reference, usually the top results a search engine returns for the keyword in question. You then look at how often each word appears in the document you want to improve (WDF) and how often those words appear on average across the reference set (IDF).

Dedicated SEO tools such as Ryte or Sistrix can automate that work and give you a simple interface for reading the data. The result is a list of words that should either be emphasized more or used less, so that the text gains in relevance and stays readable.

Which tools are there for WDF*IDF analysis?

Free tools for WDF*IDF analysis

• WDFIDF-Tool: a version limited to three free queries per day.
• Keyword Tool Dominator: has a limited free version for simple keyword frequency counts.
• SEOlyze (30 days free): offers a basic WDF*IDF analysis as part of its services.
• SEO PowerSuite: offers a free version with a reduced feature set.

Paid tools for WDF*IDF analysis

• Ryte: offers an extensive WDF*IDF toolbox that gives you a deep look at content optimization. Ryte is known for its detailed reports and its professional SEO features.
• Sistrix: a widely used SEO tool that offers detailed WDF*IDF analysis and stands out for its reporting.
• SEMrush: alongside its other SEO tools it also has a WDF*IDF feature. SEMrush is known for a broad range of tools and reports that suit large SEO campaigns.
• Surfer SEO: uses WDF*IDF analysis to improve web content and offers friendly features aimed at content marketing and SEO.
• Xovi: another all-in-one SEO tool with a WDF*IDF feature. It is particularly useful for detailed keyword work and for tuning online marketing strategies.

More terms around content and rankings are collected in our SEO glossary.

What is a web server?

A web server is a software or hardware solution that is installed on a computer or a dedicated device and whose job is to deliver web pages on request to the people who access them over the internet.

The web server accepts HTTP requests (HyperText Transfer Protocol) from web clients, typically web browsers, and sends HTTP responses back, often in the form of web pages in HTML (HyperText Markup Language). Beyond that, a web server also delivers other file types such as images, stylesheets and scripts that the page needs for its layout and its functions.

A web server is therefore a central part of the World Wide Web and is what makes web content available and accessible in the first place.

What is the Apache web server?

The Apache web server is one of the best known and most widely used web server solutions. It is an open-source project maintained by the Apache Software Foundation. The Apache web server is known for its reliability, scalability and extensibility.

It supports a wide range of operating systems, including Unix, Linux and Windows, and offers a broad selection of modules and extensions that let administrators adapt and extend what the server does. The Apache web server also supports a large number of programming languages and databases, which makes it a flexible answer to many different web hosting requirements.

On top of that, Apache has a strong community of developers and administrators who provide support and keep the software moving forward.

What alternatives are there to Apache?

1. Nginx: a very popular web server, known for its performance and its ability to handle a large number of simultaneous connections.
2. Microsoft Internet Information Services (IIS): a web server for Windows server systems that fits neatly into the Microsoft technology stack.
3. LiteSpeed: a commercial web server known for its speed and its light footprint.
4. OpenLiteSpeed: the open-source version of LiteSpeed, also known for its speed and its simple configuration.
5. Caddy: a relatively new web server that stands out for its simple configuration and automation.
6. Tomcat: a web server from Apache designed specifically to run Java code.
7. Node.js (with Express.js or other frameworks): although Node.js is really a runtime environment for JavaScript, it is often combined with frameworks such as Express.js and used as a web server.
8. Jetty: a web server and servlet container that can also run Java-based web applications.

How does the choice of web server affect SEO?

The choice of web server touches several aspects of search engine optimization (SEO). Among the factors it influences are the speed of the website, its security, its availability and how far the server configuration can be adapted. Short loading times are decisive for a positive user experience and for a good position in search, which is why PageSpeed starts at the server.

With its modules and extensions, Apache offers ways to optimize the performance of a website. Security factors such as implementing HTTPS are important SEO elements too, and Apache provides robust security functions. The high adaptability of the Apache web server also lets administrators build SEO-friendly URL structures and tune the server configuration to improve how visible the website is in search engines.

Choosing a reliable and configurable web server such as Apache can therefore have a positive effect on the SEO performance of a website. Whether your server is currently helping or hurting is one of the questions an SEO audit answers with measurements instead of assumptions.

What is a 301 redirect?

A 301 redirect is a method of sending both users and search engines to a new URL when the original URL has been changed. The status code “301” signals that the move of the URL is permanent.

That is important, because it helps search engines understand that the old URL has been permanently replaced by a new one and that they should update their search result entries accordingly. A 301 redirect is often used to make sure that links pointing at the old URL do not lose their value and are passed on to the new URL instead. That is decisive for preserving link authority and search engine rankings.

How do I set up a 301 redirect?

Setting up a 301 redirect works in several ways, depending on the server software you use. On Apache web servers the redirect is usually set up in the .htaccess file, where you add the following line:

Redirect 301 /old-url https://www.example.com/new-url

On Nginx servers you set it up in the server configuration file. Here is an example of how the redirect is written:

server {
    ...
    location /old-url {
        return 301 https://www.example.com/new-url;
    }
    ...
}

If you work with a content management system (CMS) such as WordPress, plugins make setting up 301 redirects easier: they offer a user friendly interface that lets you create redirects directly in the admin area.

When do 301 redirects matter for SEO?

301 redirects are decisive for search engine optimization (SEO) for several reasons. First, they help preserve the link juice (the authority that is passed on through links) and the ranking of a page when the URL of that page is changed. That matters especially when you restructure a website and old URLs are no longer in use.

Second, they prevent the problem of duplicate content, because they make sure that search engines and users are sent to the current version of a page, even when they could reach it over several different URLs. Finally, 301 redirects improve the user experience: visitors do not land on error pages (404 errors) but are redirected to the page they were looking for. Redirect chains, stale targets and forgotten old URLs are among the first things an SEO audit brings to light.