Open scholarly communication for SSH
OPERAS (operas-eu.org) scores 78 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Non-profit brands, Media & Entertainment brands, in the 74th percentile of 36306 Education brands.
OPERAS is a European research infrastructure network established in 2020 that supports open scholarly communication in the social sciences and humanities. It brings together institutions, organizations, and research infrastructures across Europe to provide collaborative, equitable, and transparent open-access publishing services. OPERAS aims to advance open access practices within the European Research Area, serving researchers, academic institutions, and publishers involved in SSH scholarship.
| Brand Name | OPERAS |
|---|---|
| Domain | operas-eu.org |
| Industry | Education, Non-profit |
| Founded | 2020 |
| Main Competitors | OpenEdition (73/100), OAPEN (75/100), OpenAIRE (48/100), Knowledge Unlatched (76/100), SciELO (80/100) |
Moz Domain Authority 39/100 vs category average 45 / leader 97 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #378,164 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Welcome to your site! This is your homepage, which is what most visitors will see when they come to your site for the first time." (Meta description: 25 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding 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.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on Facebook, X (Twitter), Instagram, YouTube; no detected presence on LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked November 2026.
When asked "What is OPERAS?", Claude could identify the brand as of November 2026. OPERAS is a European research infrastructure that supports open scholarly communication in the social sciences and humanities, coordinating services like open access publishing platforms, discovery tools, and standards across its member institutions. Best known for Being a pan-European infrastructure supporting open access publishing and scholarly communication in social sciences and humanities.
When asked "Best brands similar to OPERAS?", Claude would recommend OPERAS as of November 2026. It's a notable and specific player in European open scholarly communication infrastructure, relevant if someone asks about open access or SSH research infrastructure organizations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OPERAS's main competitors in Education: OpenEdition (73/100), OAPEN (75/100), OpenAIRE (48/100), Knowledge Unlatched (76/100), SciELO (80/100).
Sources: Brand Analyzer scan
OPERAS has limited AI-search visibility, scoring 35/100 on Brand Analyzer's AI visibility composite (visibility 26, trust 39, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OPERAS official site
OPERAS was founded in 2020. OPERAS operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
OPERAS scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: OPERAS official site
OPERAS is a European research infrastructure network, founded in 2020, that facilitates open access to scholarly communication for the social sciences and humanities (SSH) across Europe. It unites research infrastructures, institutions, and organizations to support open scholarly publishing within the European Research Area.
Sources: OPERAS official site
OPERAS 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: OPERAS official site
OPERAS works to advance open scholarly communication in the social sciences and humanities by coordinating a network of research infrastructures, institutions, and organizations across Europe. It provides collaborative, equitable, and transparent open-access publishing services tailored to the needs of the SSH research community.
Sources: OPERAS official site
OPERAS is used by researchers, academic institutions, publishers, and organizations involved in social sciences and humanities scholarship across Europe.
Sources: OPERAS official site
OPERAS is known for being a leading European infrastructure dedicated to supporting open scholarly communication and publishing services specifically for the social sciences and humanities.
Sources: OPERAS official site
OPERAS scores 35/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OPERAS has a weak AI-visibility profile at 35/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #378,164 (Tranco) 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, a low Moz Domain Authority of 39/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify OPERAS from memory (November 2026) - a sign these signals are paying off.
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.
Ranked closest to OPERAS: Opera Carolina (78/100), Open Library of Humanities (78/100), Opetushallitus (78/100), Dominican Sisters of Peace (78/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
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