Verifying health claims with science
Health Feedback (healthfeedback.org) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Media & Entertainment brands, Non-profit brands, in the 37th percentile of 20770 Healthcare brands.
Health Feedback is a fact-checking website focused on verifying the credibility of claims related to medical, health, and life sciences. It provides expert-reviewed analyses of viral health claims to help the public, journalists, educators, and other audiences distinguish accurate information from misinformation. The site positions itself as a science-based authority combating health misinformation through rigorous review by subject-matter experts.
| Brand Name | Health Feedback |
|---|---|
| Domain | healthfeedback.org |
| Industry | Healthcare, Media & Entertainment |
| Main Competitors | Snopes (96/100), PolitiFact (83/100), FactCheck.org (84/100), Full Fact (86/100), Reuters Fact Check (73/100), AP Fact Check (91/100) |
Moz Domain Authority 58/100 vs category average 40 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #270,137 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Health Feedback Verifying the credibility of claims related to medical, health and life sciences. Latest reviews Sorry, there are no "Health" reviews to show at the momen…" (Meta description: 46 words. 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:type, Twitter cards, canonical. 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, WordPress, Ghost.
Social footprint: verified profiles on Facebook, LinkedIn, X (Twitter), Instagram, GitHub; no detected presence on YouTube - 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 November 2026.
When asked "What is Health Feedback?", Claude could identify the brand as of November 2026. Health Feedback is a fact-checking website that reviews the scientific accuracy of health-related media claims and news articles, run by scientists and researchers who assess claims against the current state of scientific evidence. It's part of the Science Feedback network, which Best known for Scientific fact-checking of viral health news and claims using panels of qualified scientists.
When asked "Best brands similar to Health Feedback?", Claude would recommend Health Feedback as of November 2026. It's a well-regarded source for debunking health misinformation and is often cited alongside other fact-checking organizations like Snopes or FactCheck.org.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Health Feedback's main competitors in Healthcare: Snopes (96/100), PolitiFact (83/100), FactCheck.org (84/100), Full Fact (86/100), Reuters Fact Check (73/100).
Sources: Brand Analyzer scan
Health Feedback has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 18, trust 26, recommendation 37). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Health Feedback official site
Health Feedback scores 37/100 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: Health Feedback official site
Health Feedback is a fact-checking website that verifies the credibility of claims related to medical, health, and life sciences. It is described in its knowledge-graph entry as a fact-checking website and its stated mission is to assess the accuracy of health-related claims circulating publicly.
Sources: Health Feedback official site
Health Feedback 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: Health Feedback official site
Health Feedback reviews viral and publicly circulating claims about medical, health, and life sciences topics, subjecting them to expert scientific analysis to determine their accuracy. It publishes fact-checks and insight articles intended to help readers separate credible health information from misinformation.
Sources: Health Feedback official site
According to the stated target audience, Health Feedback is used by health-conscious individuals, journalists, educators, and the general public seeking reliable, science-backed information on medical and health claims.
Sources: Health Feedback official site
Health Feedback scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Health Feedback has a weak AI-visibility profile at 25/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (37/100) and its weakest is visibility (18/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #270,137 (Tranco) and a Moz Domain Authority of 58/100. 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. In a live check, Claude could already identify Health Feedback from memory (November 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.
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