AI search that prioritizes accuracy with cited sources, using GPT-5, Gemini, and Claude.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Liner — AI search that prioritizes accuracy with cited sources, using GPT-5, Gemini, and Claude. Best for Students conducting academic research, Professionals needing fact-checked answers, Researchers analyzing papers. Free to start; paid plans from $14.9917/mo.
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Liner stands out for its commitment to accuracy and source transparency, making it a strong choice for research-heavy workflows. The credit system can be a hassle, but the Pro and Max tiers offer good value for power users.
Compare with: Liner vs Claude, Liner vs Overchat AI, Liner vs Aithor
Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
63 mentions across 4 sources (Reddit, Hacker News, App Store, Lemmy).
How likely is Liner to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Liner is an AI-powered search engine designed to provide accurate, source-backed answers for daily questions, research, and problem-solving. Built for users who value verifiable information, it integrates multiple state-of-the-art models including GPT-5, Gemini, and Claude to return answers rooted in reputable sources. With over 13 million users, Liner offers a suite of tools: Liner Search for general queries, Liner Scholar for academic research, and Liner Write for writing assistance. The service is structured around a credit system. Free users get 100 Agent credits per month, while Pro ($14.99/mo billed annually) and Max ($29.99/mo billed annually) tiers offer 1,000 and 2,500 credits respectively. Credits are consumed per feature use—for example, Deep Research costs 40 credits, premium external models 30 credits. The platform also serves teams and enterprises with dedicated plans starting at $26.99/seat/mo. What sets Liner apart is its emphasis on accuracy: the company claims its Advanced Search outperforms ChatGPT and Perplexity Pro in OpenAI's SimpleQA benchmark. This is achieved by curating sources and leveraging multiple AI models. Users can upload files (PDFs, research papers) for analysis, generate images, and run Deep Research reports. The platform is accessible via web, Chrome extension, and mobile apps for iOS and Android. Liner is ideal for students, researchers, and professionals who need reliable, cited information quickly. However, heavy users may find the credit system limiting, and some advanced features are locked behind paid plans.
Liner is a compelling option if you prioritize verifiable, sourced information over the convenience of a single-model chatbot. The multiple-model approach (GPT-5, Gemini, Claude) reduces bias and improves accuracy, but the credit system introduces friction—especially for heavy users. Students and researchers will appreciate Liner Scholar's specialized tools, while casual users may find the free tier adequate. However, if you rely on unlimited AI interactions, the credit limits could be a dealbreaker. Overall, Liner fills a niche for evidence-driven search that most general-purpose AIs don't emphasize.
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