Find Connections between People and Companies
Corporation Wiki (corporationwiki.com) earns a Brand Analyzer score of 64 out of 100, placing it in the Developing tier among SaaS brands, Legal brands. Among 12358 SaaS brands analyzed, Corporation Wiki ranks in the 23rd percentile (category average 69, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 85/100, Digital Presence 65/100, Visual Identity 91/100, Messaging Clarity 100/100, Trust Foundation 42/100, AI Discoverability 73/100, Brand Authority 33/100.
Corporation Wiki (corporationwiki.com) is a SaaS and legal-category platform that provides information on corporate histories and business relationships. Its stated mission is to help users discover more about the companies and people they do business with. The platform reveals connections between people and companies, positioning itself as a tool for business professionals seeking insights into corporate structures and key personnel to support informed decision-making.
| Brand Name | Corporation Wiki |
|---|---|
| Domain | corporationwiki.com |
| Industry | SaaS, Legal |
| Main Competitors | OpenCorporates, Dun & Bradstreet (89/100), ZoomInfo (87/100), Owler, Crunchbase (89/100), LinkedIn (84/100) |
Moz Domain Authority 61/100 vs category average 28 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #45,819 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "The future of corporate history. Discover more about the companies and people that you do business with." (Meta description: 17 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on Instagram; no detected presence on X (Twitter), LinkedIn, Facebook, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Corporation Wiki scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Corporation Wiki has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is visibility (10/100). It benefits from a global traffic rank of #45,819 (Tranco), a Moz Domain Authority of 61/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Corporation Wiki's main competitors include OpenCorporates, Dun & Bradstreet (89/100), ZoomInfo (88/100), Owler, Crunchbase (89/100). These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: Corporation Wiki official site
Corporation Wiki and Dun & Bradstreet are competitors in SaaS. Brand Analyzer scores Corporation Wiki at 64/100 and Dun & Bradstreet at 89/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Corporation Wiki official site
Popular alternatives to Corporation Wiki include OpenCorporates, Dun & Bradstreet (89/100), ZoomInfo (88/100), Owler, Crunchbase (89/100). Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: Corporation Wiki official site
Corporation Wiki has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 10, trust 45, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Corporation Wiki official site
Corporation Wiki scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Corporation Wiki official site
Corporation Wiki is a SaaS and legal-category platform available at corporationwiki.com. It describes itself as the platform for 'the future of corporate history,' designed to help users discover more about the companies and people they do business with. It functions as a research tool that maps and reveals connections between individuals and corporate entities, positioning itself as the leading platform for exploring corporate connections and histories.
Sources: Corporation Wiki official site
Corporation Wiki uncovers corporate histories and reveals connections between people and companies. It provides users with insights into business relationships, enabling them to research companies and their key personnel. The platform is designed to support informed decision-making by surfacing the organizational and relational data that links individuals to corporate structures. Its mission is to help users discover more about the companies and people they do business with.
Sources: Corporation Wiki official site
Corporation Wiki can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Corporation Wiki official site
Corporation Wiki offers a platform that provides access to corporate history data and maps connections between people and companies. It is categorized under SaaS and Legal, suggesting it delivers its service via a web-based subscription or access model. The core service is research-oriented, enabling users to discover relationships between individuals and corporate entities to support business due diligence and decision-making. No specific named product tiers or features are detailed in the available facts.
Sources: Corporation Wiki official site
Corporation Wiki's target audience is business professionals who research companies and their key personnel. This includes individuals and organizations that need to vet potential business partners, clients, or counterparties by understanding corporate structures and the connections between people and companies. The platform's legal category classification also suggests use by legal professionals conducting due diligence or corporate research.
Sources: Corporation Wiki official site
Corporation Wiki is known for revealing connections between people and companies, and for providing access to corporate history and relationship data. It positions itself as a leading platform for exploring how individuals are linked to corporate entities, making it a resource for those seeking to understand the structure and relationships within businesses. Its value proposition centers on uncovering these corporate connections to inform business decisions.
Sources: Corporation Wiki official site
Ranked closest to Corporation Wiki: Coreserver (64/100), Cool Running Software (64/100), CorrLinks (64/100), CoStar Group (64/100).
A step up - brands to learn from: ZyG (71/100), Zuant (71/100).
Category leader: Accenture (97/100).