Literaturoznawca, socjolog, cyfrowy humanista
Maciej Maryl (maryl.org) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Other brands, in the 47th percentile of 29016 Education brands.
Maciej Maryl is a Polish literary scholar, sociologist, and translator affiliated with the Institute of Literary Research at the Polish Academy of Sciences (IBL PAN), where he founded and leads the Centre for Digital Humanities. His personal academic website presents his research, publications, and professional activities, including collaboration with OPERAS, a European research infrastructure for open scholarly communication. The site serves as a hub for his academic identity, linking to his ORCID, Mastodon, X, and LinkedIn profiles.
| Brand Name | Maciej Maryl |
|---|---|
| Domain | maryl.org |
| Industry | Education, Other |
| Founded | 1788 |
| Main Competitors | DARIAH-EU (73/100), CLARIN (74/100), OPERAS, Stanford Literary Lab, Alan Turing Institute (69/100) |
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 "Email: Maciej.Maryl (at) ibl.waw.pl Mastodon: @mmaryl@hcommons.social X: @maciejmaryl Linkedin: maciejmaryl ORCID ID 0000-0002-2639-041X Maciej Maryl, dr, adiunkt w Instytucie Bada…" (No meta description. 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.
Content is PL-only, limiting citation in English-language AI answers.
Detected tech stack: Apache, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, GitHub; no detected presence on YouTube - 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 October 2026.
When asked "What is Maciej Maryl?", Claude could identify the brand as of October 2026. Maciej Maryl is a Polish scholar specializing in digital humanities and literary studies, associated with the Institute of Literary Research at the Polish Academy of Sciences, where he works on topics like digital scholarly editing, open access, and computational text analysis. Best known for His work in digital humanities and open science advocacy within Polish and European academic circles.
When asked "Best brands similar to Maciej Maryl?", Claude would not surface Maciej Maryl as of October 2026. This is an individual academic's personal website rather than a company or education brand, so it wouldn't come up in a list of similar businesses.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Maciej Maryl's main competitors in Education: DARIAH-EU (73/100), CLARIN (74/100), Alan Turing Institute (69/100).
Sources: Brand Analyzer scan
Maciej Maryl has limited AI-search visibility, scoring 30/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 24, recommendation 61). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Maciej Maryl official site
Maciej Maryl was founded in 1788. Maciej Maryl operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Maciej Maryl scores 61/100 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.
Sources: Maciej Maryl official site
Maciej Maryl is a Polish scholar, serving as an adiunkt (assistant professor) at the Institute of Literary Research of the Polish Academy of Sciences (IBL PAN). He is a literary scholar, sociologist, and translator, and the founder and head of the Centre for Digital Humanities at IBL PAN.
Sources: Maciej Maryl official site
Maciej Maryl conducts academic research in literary studies, sociology, and digital humanities. He leads the Centre for Digital Humanities at IBL PAN, translates literary works, and authors radio dramas (słuchowiska). He also collaborates with OPERAS, a research infrastructure for open scholarly communication in the social sciences and humanities, as a member of its General Assembly.
Sources: Maciej Maryl official site
Maciej Maryl 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: Maciej Maryl official site
Maciej Maryl is known for founding and directing the Centre for Digital Humanities at the Institute of Literary Research, Polish Academy of Sciences, and for his interdisciplinary work bridging literary scholarship, sociology, and digital research methods. He is also recognized for his involvement with OPERAS, a pan-European open scholarly communication initiative.
Sources: Maciej Maryl official site
Maciej Maryl scores 30/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Maciej Maryl has a weak AI-visibility profile at 30/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (61/100) and its weakest is visibility (17/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Maciej Maryl from memory (October 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 Maciej Maryl: Mark Morris Dance Group (74/100), Marist School (74/100), Match Charter Public School (74/100), MathsWatch (74/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
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