Software for Macromolecular Structure Determination
Phenix (phenix-online.org) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, Education brands, Healthcare brands, in the 36th percentile of 45863 Technology brands.
Phenix is a software suite developed with sustained NIH funding for determining macromolecular structures from X-ray, neutron, and electron diffraction data as well as electron cryo-microscopy (cryo-EM) data. It serves structural biologists, crystallographers, and researchers in academic and industrial settings. Phenix integrates multiple computational tools into a single comprehensive package, positioning itself as a leading solution for researchers working across diverse experimental data modalities in structural biology.
| Brand Name | Phenix |
|---|---|
| Domain | phenix-online.org |
| Industry | Technology, Education |
| Main Competitors | CCP4, Global Phasing (BUSTER), RosettaCommons (76/100), cryoSPARC, CNS Suite |
Moz Domain Authority 41/100 vs category average 40 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,317,203 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Phenix appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Phenix online main site" (Meta description too short (4 words). No OG description (falling back to meta)) - 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.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn, Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Phenix has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 26, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Phenix official site
Phenix offers a comprehensive software suite for macromolecular structure determination. Its tools support processing and analysis of data from X-ray diffraction, neutron diffraction, electron diffraction, and electron cryo-microscopy (cryo-EM), providing researchers with an integrated platform to determine structures across these different experimental techniques.
Sources: Phenix official site
Phenix scores 42/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Phenix official site
Phenix is a comprehensive software suite used by structural biologists to determine macromolecular structures. It integrates computational tools for processing and interpreting data from X-ray crystallography, neutron diffraction, electron diffraction, and electron cryo-microscopy (cryo-EM). It is developed with sustained NIH funding and involves collaboration with industrial partners.
Sources: Phenix official site
Phenix provides software tools that enable researchers to determine macromolecular structures from diffraction and cryo-EM data. It handles multiple experimental data types-X-ray, neutron, and electron diffraction as well as cryo-EM-within a single integrated package, supporting the full workflow of structural determination for proteins and other macromolecules.
Sources: Phenix official site
Phenix 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: Phenix official site
Phenix is used by structural biologists, crystallographers, and other researchers in academic and industrial settings who work on determining macromolecular structures. This includes scientists using diffraction-based methods (X-ray, neutron, electron) and cryo-EM techniques to study the structure of proteins and other macromolecules.
Sources: Phenix official site
Phenix is known for being a comprehensive, integrated software package for macromolecular structure determination that supports multiple experimental data modalities, including X-ray, neutron, and electron diffraction as well as cryo-EM. Its sustained NIH funding and industrial collaboration contribute to its reputation as a robust, widely adopted tool in structural biology research.
Sources: Phenix official site
Phenix scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Phenix has a weak AI-visibility profile at 33/100 - 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 trust (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,317,203 (Tranco) and a Moz Domain Authority of 41/100. 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.
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 Phenix: PFM (74/100), Petex (74/100), phew (74/100), Phished (74/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
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