Geochemistry of Rocks of the Oceans and Continents
GEOROC (georoc.eu) scores 50 out of 100 on Brand Analyzer, placing it in the Early Stage tier among Education brands, Other brands, in the 2nd percentile of 18889 Education brands.
GEOROC is a freely accessible online database that compiles published geochemical analyses of rocks, minerals, and inclusions from around the world. It serves the global geoscience community by centralizing data on rock composition drawn from scientific literature, enabling researchers to search, compare, and analyze geochemical information without cost. The platform positions itself as a leading open-access resource in earth sciences, primarily used by geologists, geochemists, and academic researchers.
| Brand Name | GEOROC |
|---|---|
| Domain | georoc.eu |
| Industry | Education, Other |
| Founded | 1900 |
| Main Competitors | EarthChem (76/100), PetDB, Mindat, Global Volcanism Program, USGS Mineral Resources Data System (77/100) |
Moz Domain Authority 27/100 vs category average 48 / leader 97 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "GEOROC aims to provide a comprehensive, freely accessible database of published geochemical analyses of rocks, minerals, and inclusions for the global geoscience community." (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: 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 LinkedIn, Facebook, Instagram, YouTube, GitHub; no detected presence on X (Twitter) - 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 September 2026.
When asked "What is GEOROC?", Claude could identify the brand as of September 2026. GEOROC is a geochemical database of rock and mineral analyses, originally developed at the Max Planck Institute for Chemistry, used widely by geoscientists and students to access published igneous and metamorphic rock geochemistry data. Best known for being a comprehensive open-access geochemical rock data repository for the earth sciences community.
When asked "Best brands similar to GEOROC?", Claude would recommend GEOROC as of September 2026. It's a well-known and widely cited resource in geoscience research and education, so I'd mention it if someone asked about geochemical data databases.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
GEOROC's main competitors in Education: EarthChem (76/100), USGS Mineral Resources Data System (77/100).
Sources: Brand Analyzer scan
GEOROC has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 19, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: GEOROC official site
GEOROC was founded in 1900. GEOROC operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
GEOROC scores 42/100 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: GEOROC official site
GEOROC offers a curated, searchable database of geochemical analyses covering rocks, minerals, and inclusions, compiled from published scientific sources, available free of charge to users.
Sources: GEOROC official site
GEOROC is a freely accessible, comprehensive database of published geochemical analyses of rocks, minerals, and inclusions, designed for use by the global geoscience research community.
Sources: GEOROC official site
GEOROC compiles and curates geochemical data extracted from scientific literature on rocks, minerals, and inclusions, making this information searchable and accessible in a centralized online platform for researchers.
Sources: GEOROC official site
GEOROC 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: GEOROC official site
GEOROC is used by geologists, geochemists, earth scientists, and academic researchers who study the chemical composition of rocks and minerals.
Sources: GEOROC official site
GEOROC is known for being an extensive, open-access compilation of geochemical data on rock and mineral composition sourced from published scientific studies, serving as a key reference tool for earth scientists worldwide.
Sources: GEOROC official site
GEOROC scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
GEOROC has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (17/100). It benefits from a Wikidata knowledge-graph entry 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 27/100 and thin schema.org structured data. In a live check, Claude could already identify GEOROC from memory (September 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 GEOROC: GenomeNet (50/100), GDS Predictor (50/100), Indian Institute of Management Bangalore (IIMB) (50/100), KoreaScience (50/100).
A step up - brands to learn from: Yuansouti (56/100), WikiCFP (56/100).
Category leader: Canva (97/100).
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