AI radiology for lung cancer care
Aidence (aidence.com) scores 78 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Technology brands, SaaS brands, in the 59th percentile of 7410 Healthcare brands.
Aidence is a provider of AI-based radiology solutions focused on the lung cancer pathway. It offers diagnostic and operational tools integrated into a unified radiology workspace, aiming to help physicians improve patient care. Aidence operates as a subsidiary of RadNet, functioning within the RadNet/DeepHealth ecosystem. Its solutions are designed for radiologists, healthcare providers, and imaging centers seeking AI-driven support for lung cancer detection and management.
| Brand Name | Aidence |
|---|---|
| Domain | aidence.com |
| Industry | Healthcare, Technology |
| Parent Company / Owner | RadNet |
| Main Competitors | Riverain Technologies, Optellum (84/100), Qure.ai (83/100), Lunit (84/100), Aidoc (89/100), ClariPi, Siemens Healthineers (88/100) |
Moz Domain Authority 36/100 vs category average 40 / leader 95 - 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 "Aidence provides AI radiology solutions for the lung cancer pathway, empowering physicians to deliver better patient care. RadNet subsidiary." (Meta description: 19 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:type, Twitter cards, canonical. Adding 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, WordPress.
Social footprint: verified profiles on LinkedIn, YouTube, X (Twitter), Instagram, GitHub; no detected presence on Facebook - 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 Aidence?", Claude could identify the brand as of September 2026. Aidence is a healthcare AI company based in Amsterdam that develops deep learning software for medical imaging, most notably lung nodule detection and management to support early lung cancer diagnosis. Their flagship product, Veye Lung Nodules, assists radiologists in detecting, Best known for AI-powered lung nodule detection software (Veye Lung Nodules) for early lung cancer screening.
When asked "Best brands similar to Aidence?", Claude would recommend Aidence as of September 2026. It's a recognized player in AI-driven radiology and lung cancer screening, so it would come up naturally alongside other medical imaging AI companies.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Aidence's main competitors in Healthcare: Optellum (84/100), Qure.ai (83/100), Lunit (84/100), Aidoc (89/100), Siemens Healthineers (88/100).
Sources: Brand Analyzer scan
Aidence offers AI-powered diagnostic and operational tools integrated into a unified radiology workspace, specifically designed for the lung cancer pathway. These tools support detection and management of lung cancer as part of the broader RadNet/DeepHealth ecosystem.
Sources: Aidence official site
Aidence is a company that provides AI radiology solutions for the lung cancer pathway. It operates as a subsidiary of RadNet and works within the RadNet/DeepHealth ecosystem to deliver AI-powered diagnostic and operational tools to radiology providers.
Sources: Aidence official site
Aidence has low AI-search visibility, scoring 21/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 42, recommendation 32). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Aidence official site
Aidence develops AI-powered diagnostic and operational tools that are combined into a unified radiology workspace. These tools are designed to streamline the detection and management of lung cancer, supporting radiologists and healthcare providers throughout the lung cancer pathway.
Sources: Aidence official site
Aidence scores 32/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Aidence official site
Aidence 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: Aidence official site
Aidence's tools are used by radiologists, healthcare providers, and imaging centers that seek AI-driven diagnostic and operational solutions for lung cancer detection.
Sources: Aidence official site
Aidence is known for its specialization in AI radiology solutions for the lung cancer pathway, and for being a subsidiary of RadNet, which provides enterprise imaging expertise to support its technology.
Sources: Aidence official site
Aidence scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Aidence has a weak AI-visibility profile at 21/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (42/100) and its weakest is visibility (0/100). It benefits from 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, no strong Wikidata entry and a low Moz Domain Authority of 36/100. In a live check, Claude could already identify Aidence 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 Aidence: ahm (78/100), AGFA HealthCare (78/100), Nestlé Health Science (78/100), Aktana (78/100).
A step up - brands to learn from: Zurich Insurance Group (81/100), ZOLL Data Systems (81/100).
Category leader: Booksy (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.