Your gateway to astronomical object data
SIMBAD (u-strasbg.fr) scores 67 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Technology brands, Other brands, in the 14th percentile of 14789 Education brands.
SIMBAD is an astronomical database maintained by the Strasbourg Astronomical Data Center that provides basic data, cross-identifications, bibliography, and measurements for astronomical objects outside the solar system. It is designed to give astronomers, astrophysicists, researchers, and students a centralized, continuously updated source of reliable scientific data and literature references on celestial objects, supporting research and study in astronomy and astrophysics.
| Brand Name | SIMBAD |
|---|---|
| Domain | u-strasbg.fr |
| Industry | Education, Technology |
| Parent Company / Owner | Strasbourg Astronomical Data Center |
| Main Competitors | NASA/IPAC Extragalactic Database (NED), VizieR, NASA Astrophysics Data System (ADS), Aladin Sky Atlas, Sloan Digital Sky Survey (SDSS) SkyServer |
Moz Domain Authority 67/100 vs category average 49 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
SIMBAD appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "The SIMBAD astronomical database provides basic data, cross-identifications, bibliography and measurements for astronomical objects outside the solar system." (Meta description: 18 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Microdata (Schema.org). 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 YouTube, GitHub, Instagram; no detected presence on Facebook, X (Twitter), LinkedIn - 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 SIMBAD Astronomical Database?", Claude could identify the brand as of October 2026. SIMBAD is a widely used astronomical database maintained by the Centre de Données astronomiques de Strasbourg (CDS) that provides basic data, cross-identifications, bibliography, and measurements for millions of astronomical objects outside the solar system. It's a core reference Best known for being the standard reference database for identifying and cross-referencing astronomical objects (stars, galaxies, nebulae, etc.) used by astronomers globally.
When asked "Best brands similar to SIMBAD Astronomical Database?", Claude would recommend SIMBAD as of October 2026. If someone asked about astronomical databases or tools for research/education in astronomy, SIMBAD is one of the most authoritative and commonly cited resources I'd mention.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SIMBAD is an astronomical database that provides basic data, cross-identifications, bibliography, and measurements for astronomical objects located outside the solar system. It is maintained by the Strasbourg Astronomical Data Center and serves as a centralized reference resource for the astronomical community.
Sources: SIMBAD official site
SIMBAD has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 38, recommendation 52). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SIMBAD official site
SIMBAD offers a database service providing basic data, cross-identifications, bibliography, and measurements for astronomical objects outside the solar system. It functions as a research tool rather than a commercial product, giving users access to compiled scientific literature references and object-specific data.
Sources: SIMBAD official site
SIMBAD aggregates and continuously updates information on astronomical objects studied in scientific literature. It compiles basic data such as object classifications and identifiers, links multiple naming conventions through cross-identifications, gathers bibliographic references to relevant scientific papers, and records measurements associated with each object, making this information accessible in one centralized database.
Sources: SIMBAD official site
SIMBAD scores 52/100 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.
Sources: SIMBAD official site
SIMBAD 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: SIMBAD official site
SIMBAD is used by astronomers, astrophysicists, researchers, and students who require detailed scientific data and literature references on astronomical objects outside the solar system.
Sources: SIMBAD official site
SIMBAD is owned by or part of Strasbourg Astronomical Data Center. SIMBAD operates in the Education category.
Sources: Wikidata
SIMBAD is known for being a comprehensive, authoritative reference database for astronomical objects outside the solar system, particularly valued for its cross-identification system that links different names and catalog designations for the same celestial object, as well as its extensive bibliographic references tied to scientific literature.
Sources: SIMBAD official site
SIMBAD scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SIMBAD has a limited AI-visibility profile at 40/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (52/100) and its weakest is visibility (35/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 67/100 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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify SIMBAD 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 SIMBAD: Ustc.edu (67/100), United States Merchant Marine Academy (67/100), University of West London (67/100), Verlag Franz Vahlen (67/100).
A step up - brands to learn from: Ziyouz (71/100), ZiyoNET (71/100).
Category leader: Canva (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.