Generates 3-5 caption variants from a content brief or image description, each scored 0-100 on predicted shareability based on share-triggering psychological patterns (relatability, utility, identity signaling, controversy, humor).

Analyzes captions for search-discoverable keywords that align with Google/Bing indexing of Instagram captions and Instagram's native search, suggesting keyword insertions that feel natural.

Breaks down any existing caption into share-trigger categories (save-worthy tips, relatable humor, hot takes, identity badges) and shows which triggers are present or missing.

Provides tested call-to-action templates specifically designed to prompt shares and DM sends rather than generic 'like and comment' CTAs.

Users paste 10-20 of their best-performing captions to train the AI on their voice, tone, and audience so generated captions match their brand.

Generate and schedule a week's worth of optimized captions in one session, exportable to clipboard or CSV for use in scheduling tools.

Users manually log shares, saves, and DM sends from Instagram Insights for each caption to build a personal performance dataset that improves future recommendations.

Paste a competitor's caption URL to analyze their share-trigger patterns, keyword strategy, and CTA approach with actionable improvement suggestions.

Suggests hashtags and alt-text optimized for discoverability that complement the share-optimized caption strategy.

Generate share-optimized captions directly from Instagram's web composer or scheduling tools without switching tabs.