AI marketing assistant for customer profiling, strategy, and content creation
AI-powered research assistant for academic writing and scientific discovery
Stage
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Startup
Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Credits-based pricing with monthly or lifetime options. 500 credits/month for $180 (discounted from $200). Monthly plans renew every month; lifetime credits are purchased once. Credit costs: 1 Ideal Customer Profile = 100 credits, 1 Marketing Strategy = 70 credits, 1 Social Media Strategy = 70 credi
Free tier with 800 words. Paid plans: Basic $6.99/month (10,000 words/month for Daily Academic Toolkit, 5,000 for Research Assistant Pro); Pro $10.99/month (50,000 words/month for Toolkit, 7,500 for Pro); Ultimate $35.99/month (unlimited Toolkit access, 15,000 words/month for Research Assistant Pro
Key features
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Literature review tools to find and organize relevant research
Note-taking and mind-mapping features for organizing research insights
Essay and academic writing assistance
Support for responding to reviewer comments and revisions
Grammar checker and citation format conversion
Paraphrasing tools for original content creation
Over 50 modules in Daily Academic Toolkit for essay and research support
Research Highlights Extractor and Content Fusion tools
Multiple AI model integration with seamless switching
End-to-end encryption and advanced security measures
What makes it different
Based on real marketing data from thousands of ICPs and campaigns, not generic AI outputs
Incorporates strategic thinking and audience psychology frameworks
Reduces marketing research time by up to 87.5%
Improves ad CTR by up to 300% when using ICP-tailored ads
Grounded in scientific expertise with content trained on scholarly articles and STM knowledge
Comprehensive all-in-one platform covering entire research lifecycle from idea to publication
User data ownership and privacy protection without using inputs to train base models
Model-agnostic flexibility allowing seamless switching across different LLMs
Journal-standard output optimization for publication-ready academic content