Figshare (figshare.com) earns a Brand Analyzer score of 80 out of 100, placing it in the Brand-Ready tier among Education brands, Technology brands, SaaS brands. Among 3400 Education brands analyzed, Figshare ranks in the 65th percentile (category average 75, 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 93/100, Digital Presence 100/100, Visual Identity 45/100, Messaging Clarity 95/100, Trust Foundation 93/100, AI Discoverability 28/100, Brand Authority 76/100.
AI Snapshot
Figshare is a cloud-based repository platform, founded in 2012 and headquartered in London, that helps researchers and institutions store, share, and manage research outputs such as datasets, figures, and papers. Owned by Digital Science and led by CEO Mark Hahnel, it supports open science by making research citable, shareable, and discoverable, while helping institutions, publishers, and funders comply with data-sharing mandates. It is categorized within education, technology, and SaaS.
Moz Domain Authority 79/100 vs category average 48 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #13,074 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Figshare has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Figshare aims to help researchers and institutions store, share, and manage research outputs to increase visibility and impact." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Score breakdown - 7 dimensions
Name Quality - 93/100
Digital Presence - 100/100
Visual Identity - 45/100
Messaging Clarity - 95/100
Trust Foundation - 93/100
AI Discoverability - 28/100
Brand Authority - 76/100
AI visibility
Figshare scores 58/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Figshare has a limited AI-visibility profile at 58/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (71/100) and its weakest is trust (37/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #13,074 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Figshare from memory (August 2026) - a sign these signals are paying off.
Visibility - 71/100
Wikipedia presence - 40/40
Wikidata entity - 21/25
Web popularity (Tranco) - 10/20
Reddit visibility - 0/15
Trust - 37/100
Domain Authority - 23/30
Backlink trust (spam score) - 10/10
Schema.org structured data - 0/25
Knowledge graph anchors (sameAs) - 0/15
llms.txt convention - 0/10
Reddit sentiment (heuristic) - 4/10
Recommendation likelihood - 59/100
robots.txt AI bot permissions - 22/30
Sitemap.xml presence - 10/10
Help center / Docs hub - 0/15
FAQ presence - 0/15
Category-relative authority - 20/20
Category leader signals - 7/10
Does AI know Figshare?
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is Figshare?", Claude could identify the brand as of August 2026. Figshare is an online repository platform that lets researchers, academic institutions, and publishers store, share, and cite research outputs like datasets, figures, code, and preprints. It's widely used to support open data and open science practices, including making research Best known for Being a repository for sharing and citing academic research outputs, especially datasets and supplementary materials, with DOI assignment.
When asked "Best brands similar to Figshare?", Claude would recommend Figshare as of August 2026. It's a well established and widely used platform in academic and research data management circles, so it would naturally come up alongside tools like Zenodo or Dryad.
People Also Ask About Figshare
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Who are Figshare's main competitors?
Figshare's main competitors include Zenodo (78/100), Dryad, Mendeley Data, Dataverse, OSF (Open Science Framework). These companies compete in the Education space for similar customers, offering comparable products or services.
Figshare and Zenodo are competitors in Education. Brand Analyzer scores Figshare at 80/100 and Zenodo at 78/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Popular alternatives to Figshare include Zenodo (78/100), Dryad, Mendeley Data, Dataverse, OSF (Open Science Framework). Each is an established option in the Education space; the best fit depends on your specific needs, budget, and required features.
Figshare offers a cloud-based repository platform for storing, managing, and sharing research outputs, including datasets, figures, media, and other research materials. It supports open access publishing and helps make these outputs citable and discoverable, serving the needs of researchers, institutions, publishers, and funders.
Figshare is a cloud-based research data repository and management platform founded in 2012, headquartered in London, and owned by Digital Science. It allows researchers and institutions to store, share, and manage research outputs, including datasets, figures, presentations, and papers, making them citable and discoverable.
Figshare has moderate AI-search visibility, scoring 58/100 on Brand Analyzer's AI visibility composite (visibility 71, trust 37, recommendation 59). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Figshare was founded in 2012. Figshare operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Figshare provides a platform for researchers and institutions to store, organize, and share research outputs such as data, figures, media, and papers. It helps make these outputs citable and discoverable, supports open science practices, and helps institutions and researchers comply with funder and publisher requirements for data sharing.
Figshare scores 59/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Figshare is used by researchers, academic institutions, publishers, and funders who need to manage, share, and preserve research data and outputs while meeting requirements for open access and funder compliance.
Figshare is known for being a leading repository platform in the research data management space, enabling researchers to make all types of research outputs-datasets, figures, code, posters, and more-citable, shareable, and discoverable in support of open science and funder compliance.
Figshare 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.
Figshare is used by researchers, institutions, publishers, and funders because it provides a cloud-based system for storing and sharing research outputs in a way that increases their visibility, citability, and discoverability, while helping meet open science and funder mandate requirements.
Define your brand colors - No brand colors were detected in your website CSS. Consistent colors increase brand recognition by up to 80%. (impact: high, effort: quick_win)
Improve meta descriptions for AI - Write clear, concise meta and Open Graph descriptions that answer 'what does this company do?' in 10-30 words. AI systems rely heavily on these to summarize your brand. (impact: high, effort: quick_win)
Add structured data and Open Graph tags - Add JSON-LD structured data (Organization, FAQ schemas) and complete Open Graph tags (og:title, og:description, og:image, og:type). This helps AI systems and social platforms accurately represent your brand. (impact: high, effort: moderate)
Add custom brand typography - No custom fonts were detected on your website. Choose a heading font and body font using a service like Google Fonts to establish typographic brand identity. (impact: medium, effort: quick_win)
Add an FAQ section - Create a Frequently Asked Questions section with FAQ schema markup. AI systems often source answers directly from FAQ content. (impact: medium, effort: moderate)