Live healthier, longer
Levels (levels.link) earns a Brand Analyzer score of 76 out of 100, placing it in the Brand-Ready tier among Healthcare brands, Technology brands. Among 4617 Healthcare brands analyzed, Levels ranks in the 58th percentile (category average 74, leader 96). 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. Dimension scores: Name Quality 100/100, Digital Presence 88/100, Visual Identity 94/100, Messaging Clarity 95/100, Trust Foundation 68/100, AI Discoverability 73/100, Brand Authority 40/100.
Levels is a healthcare technology company that helps individuals understand how food, sleep, exercise, and stress affect their bodies. Using continuous glucose monitoring, comprehensive lab data, and personalized insights, Levels enables users to see how their unique biology responds to lifestyle choices. The company positions itself as a data-driven alternative to generic nutrition advice, targeting health-conscious individuals who want to improve energy, appetite, and long-term metabolic health through personalized biometric data.
| Brand Name | Levels |
|---|---|
| Domain | levels.link |
| Industry | Healthcare, Technology |
| Main Competitors | Nutrisense (80/100), Signos (86/100), Veri (84/100), Supersapiens (80/100), January AI (80/100), Abbott Lingo (84/100), Dexcom Stelo |
Moz Domain Authority 31/100 vs category average 38 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Levels appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Levels helps you understand how food, sleep, exercise, and stress affect your body, so you can make changes that improve energy, appetite, and long-term metabolic health." (Meta description: 26 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, Twitter cards. 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.
Detected tech stack: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Levels scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Levels 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 (58/100) and its weakest is trust (12/100). 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 31/100 and thin schema.org structured data. In a live check (August 2026), Claude could not identify Levels from memory, confirming the gaps above.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is Levels?", Claude could not identify the brand as of August 2026. I don't recognize a company called Levels at the domain levels.link; there's a well-known metabolic health startup called Levels (levels.com) focused on continuous glucose monitoring, but this appears to be a different, less prominent entity that I don't have reliable information
When asked "Best brands similar to Levels?", Claude would not surface Levels as of August 2026. I can't confidently recommend a company I can't verify, especially since it may be easily confused with the similarly named glucose monitoring brand Levels.com.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Levels's main competitors include Nutrisense, Signos (86/100), Veri, Supersapiens (80/100), January AI. These companies compete in the Healthcare space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
Levels and Signos are competitors in Healthcare. Brand Analyzer scores Levels at 76/100 and Signos at 86/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to Levels include Nutrisense, Signos (86/100), Veri, Supersapiens (80/100), January AI. Each is an established option in the Healthcare space; the best fit depends on your specific needs, budget, and required features.
Sources: Brand Analyzer scan
Levels has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 12, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Levels official site
Levels offers a platform that integrates continuous glucose monitoring (CGM), comprehensive lab data, and personalized insights. Through this combination, users can track how factors like food, sleep, exercise, and stress affect their metabolic health, receiving individualized data and feedback rather than generic recommendations.
Sources: Levels official site
Levels scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Levels official site
Levels is a healthcare technology company that provides a platform combining continuous glucose monitoring, comprehensive lab data, and personalized insights to help people understand how food and lifestyle choices affect their bodies. It focuses on metabolic health, giving users data-driven visibility into their unique biological responses rather than relying on generic health advice.
Sources: Levels official site
Levels helps people understand how food, sleep, exercise, and stress affect their bodies by combining continuous glucose monitoring (CGM) technology with comprehensive lab data and personalized insights. This allows users to see the specific effects of their lifestyle choices on their own biology, supporting informed decisions aimed at improving energy, appetite regulation, and long-term metabolic health.
Sources: Levels official site
Levels 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: Levels official site
Levels is used by health-conscious individuals who want to optimize their energy, appetite, and long-term metabolic health. These users seek personalized data on how their unique bodies respond to food and lifestyle factors such as sleep, exercise, and stress, rather than relying on generic health advice.
Sources: Levels official site
Levels is known for using continuous glucose monitoring (CGM) technology combined with lab data and personalized insights to help individuals track and understand their metabolic health. It is positioned as a data-driven alternative to generic nutrition advice, focusing on how food, sleep, exercise, and stress uniquely affect each person's body.
Sources: Levels official site
Ranked closest to Levels: LegitScript (76/100), Leavitt Partners (76/100), LHC Group (76/100), LifeLearn (76/100).
A step up - brands to learn from: Zurich Insurance Group (81/100), Zimmer Biomet (81/100).
Category leader: Elsevier (96/100).