# Raphael Guilhem

Raphael Guilhem builds AI-powered creative workflows for eCommerce advertising, including systems for generating UGC-style videos, product demos, motion ads, and fashion imagery.

- Profile: https://b2binfluencer.marketing/creators/raphael-guilhem/
- LinkedIn: https://www.linkedin.com/in/raphael-guilhem
- LinkedIn followers: 43,982
- Topics: artificial-intelligence
- Based on 15 dated posts, latest 2026-10-05

## Summary

Raphael Guilhem is most useful for building repeatable AI creative production systems for eCommerce ads, especially UGC-style video variants.

- Best for: Established DTC eCommerce brands with one converting UGC ad and an internal creative or growth hire.
- Not for: Wellness or beauty creator-partnership campaigns needing disclosed sponsored placements and consumer reach estimates.
- Check first: Ask for commercial terms, availability, and measured cost, quality, and performance results.

### Takeaways

- A process turns one product image into an ad concept, storyboard, and prompts.
- Inexpensive storyboards can be approved before paying to generate a finished UGC-style video.
- A pose system for fashion imagery was tested across more than 50 brands.

## Main ideas

- **Put AI tools into a brand-specific process**: Guilhem argues that models become useful when connected to research, brand context, concepts and production steps. The process—not any one model—is the unit of work.
- **Review the idea before paying to generate the final video**: Guilhem presents storyboards and concepts as a low-cost checkpoint: teams can inspect an idea and approve it before committing to a more expensive video-generation step. This puts control and iteration ahead of volume for its own sake.
- **Make variations by changing one part of proven creative**: Rather than rebuilding an ad from scratch, Guilhem describes workflows that preserve its structure while changing a targeted element. The aim is to expand creative options without losing the original sequence or brand assets.
- **Treat visual direction as a system, not a vague prompt**: Guilhem argues that technically convincing AI imagery can still fail creatively: a model may render the product, face and fabric well but leave the person in a dull pose. They favor specific, reusable direction that can be tested and repeated.

## Work to read

- [Building a full AI UGC ad factory with Sora 2, Gemini, and Pletor](https://www.linkedin.com/posts/raphael-guilhem_sora-2-gemini-pletor-the-only-stack-activity-7391428855133278208-2vQe)
- [Turning one product image into a complete ad concept with a Claude Skill](https://www.linkedin.com/posts/raphael-guilhem_seedance-2-is-insane-for-product-demo-advertising-activity-7487798410289512448-9U_v)
- [Swapping the person in a winning ad without reshooting](https://www.linkedin.com/posts/raphael-guilhem_seedance-25-is-insane-for-ai-ugc-i-built-activity-7501219567806074881-z3xa)
- [Creating a realistic AI UGC influencer from storyboard to video](https://www.linkedin.com/posts/raphael-guilhem_i-just-created-this-realistic-ai-ugc-influencer-activity-7497951495389368321-dfLC)
- [Turning static ads into motion design without breaking the text](https://www.linkedin.com/posts/raphael-guilhem_seedance-25-is-insane-for-motion-design-activity-7495411179054514176-hiRe)
- [Open-sourcing a pose library for AI fashion and e-commerce shoots](https://www.linkedin.com/posts/raphael-guilhem_a-pose-is-what-makes-people-stop-scrolling-activity-7496147728624844800-HZaZ)
- [Building an infinite on-brand hook factory with Claude Code, Social Growth Engineers, and Pletor](https://www.linkedin.com/posts/raphael-guilhem_wowclaude-code-social-growth-engineers-activity-7442514727622180867-4Voo)
- [Generating hundreds of hyper-targeted Amazon static ads with Claude Code, Pletor, and Nanobanana PRO](https://www.linkedin.com/posts/raphael-guilhem_claude-code-pletor-nanobanana-pro-infinite-activity-7447568291251843072-gWTb)

## Brand relationships

- **Pletor** (disclosed_partnership)
- **Anthropic** (mention)
- **Seedance 2.5** (mention)
- **Gemini** (mention)
- **Sora 2** (mention)
- **ElevenLabs** (mention)
- **Nanobanana Pro** (mention)

## Partnerships

The nine posts describe Raphael Guilhem’s own systems — Claude skills, Pletor agent setups and video-model pipelines — rather than a sponsoring or brand-partnership offer. The closest thing to a call to action is comment-gated lead capture: like a post, comment a keyword such as "STORYBOARD", "AGENT" or "library", and connect on LinkedIn to receive the file. That promotes their own materials, not a rate card or sponsorship package. The posts name the tools they use — Claude Code, Seedance 2 and 2.5, Sora 2, Gemini, Nanobanana Pro and ElevenLabs — and credit a collaborator for pose inspiration, but disclose no paid placements, sponsored-post terms or commercial integrations. Buyers cannot quote deliverables, pricing, exclusivity, turnaround or usage terms from these posts; any arrangement would require direct negotiation. Ask for an official sponsor page, media kit or verified business inquiry route.

## Alternatives

- Mike Futia: Mike Futia is the better choice when the campaign decision is to multiply static ad creative rather than video. Raphael Guilhem’s posts show a process that turns one product photo into 50+ campaign-ready images using Nano Banana Pro and Nano Banana 2: virtual photoshoots, instant model swaps for persona testing, text rendered inside the image, relighting to fight fatigue, and localization. If a DTC brand’s bottleneck is static lifestyle and persona variants, not video UGC, this addresses the same scaling problem in a different format. It fits best when the brand already has product photography and needs many static variations quickly.
- Josh Cavalier: Josh Cavalier is the better choice when the campaign decision is to produce one polished AI-assisted promotional video from scratch, or to work through how AI tasks are allocated inside a larger organization. The posts include a 48-second promo built with Claude Opus 5.5, an ElevenLabs voice clone, coded animation in HyperFrames, and browser-controlled final assembly, plus a breakdown of AT&T’s AI gateway, token budgets and human-machine task routing. If the brand wants a scripted, narrated, animated explainer or course promo rather than a set of UGC ad variants, this background is closer to the task.
- Roop Gill: Roop Gill is the better choice when the campaign decision is to fix the strategy before generating anything: defining who the ad is for, what emotion it sells, and what triggers make someone stop. The posts lay out a persona method built on emotional job-to-be-done, external and internal triggers, and three core motivators, plus a Sora 2 argument that the bottleneck is clarity, not content volume. For a DTC brand whose variants are generating but not performing, this is the upstream work that decides which hooks and angles are worth scaling. It complements a production system rather than replacing it.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/