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LEAD THE CONTENT REVOLUTION.
MEET LARA®
LARA can
LARA is an artificial assistant that learns over 90% of a brand’s claims and identifies 95% of potential compliance and editorial errors in marketing content. Marketers can onboard LARA to their team in days and immediately have consistent brand knowledge, automated quality checks, and content relevancy insights. With LARA, quality is threaded throughout campaign planning, creative, copy, editorial, assembly, and production.
An AI review assistant that catches 90% or more of errors based on its exceptional understanding of a brand’s claims, references, safety, and editorial criteria. Getting content reviewed and approved as quickly and accurately as possible will allow marketing strategies, such as modular content, to effectively scale.
Specific, actionable feedback across claims, references, safety, and editorial to get content right the first time.
INCREASE BRAND AGILITY...Side by side version viewing, collaborative commenting, and other features to enable real-time issue resolution avoiding downstream rework cycles.
IMPROVE CONTENT QUALITY...An AI generated library that harvests more than 90% of claims, safety, and reference content. When leveraged alongside LARA Review, a brand team can save an average of $763K annually spent throughout the content development lifecycle.
Self-maintained single source of truth for faster onboarding, consistent content quality, and validated data to source your content engine.
SINGLE SOURCE OF TRUTH...Auto-tagged claims to find compliant messaging fast and save time building your modular content foundation.
ENABLE MODULAR CONTENT...An automated daily assessment of your marketing strategy. Within minutes, see how well your content answers customer’s top questions and stands up against competition.
Side by side comparison of website messaging to increase your marketing effectiveness.
BEAT COMPETITORS...Measure the relevance of your content by evaluating top Google searches from customers and their overlap with your existing content library.
ASSESS CONTENT RELEVANCE...