lemlist is an AI outbound platform for relevant outreach at scale.
Each model independently rates lemlist on a 1–5 star scale.
lemlist is a well-established French SaaS platform for cold email outreach and sales engagement, founded in 2018. It has a strong user community, transparent pricing, and generally positive reviews, though some users report occasional bugs and support delays.
lemlist is an AI outbound platform with a focus on scalable outreach. Limited public information affects scoring.
lemlist is an AI outbound platform. As TrustRating has limited specific information on its operational history, regulatory standing, product specifics, customer support quality, and public sentiment, scores are set to a neutral baseline.
lemlist is a known AI outbound/email outreach SaaS with solid features and deliverability tools. Generally positive reviews, though some note pricing shifts, learning curve, and variable deliverability/support. Typical SaaS compliance (e.g., GDPR), limited formal certifications publicized.
lemlist.com is a legitimate B2B SaaS tool for AI email outreach and cold campaigns. No major scandals found, but limited regulatory oversight applies. User reviews on G2/Capterra are generally positive yet mixed on support and deliverability. Conservative scores due to modest public transparency.
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lemlist is rated 2.9 out of 5 (“Poor”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
TrustRating doesn't issue scam verdicts — we publish the data instead: lemlist scores 2.9 out of 5 (“Poor”) based on 5 independent AI model assessments. Every review passes TrustGuard, our fraud-screening system that blocks fake and paid reviews, so the score reflects genuine customer experience. Read the most recent reviews below before you decide.
lemlist currently has a TrustScore of 2.9 out of 5 (“Poor”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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