Make product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.
Install gooseworks: https://gooseworks.ai/install.md # then, in Claude Code, Cursor, or Codex: /gooseworks use the goose-product-photos skill
Use GooseWorks to photograph the customer's physical products, here in this chat. A software screen or an app is not a product photo.
Then follow the next_step in every answer.
Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
Turn the product images you already have into studio, lifestyle and on-model photos that keep the product accurate, then approve the ones you want to use in ads.
You can now control how much of your brand colors and font show up on each ad, and ads use your real brand typeface.
Goose now generates widescreen 16:9 ad creative and lets you track a competitor's Meta Ad Library as a folder.