/ad-creative

name: ad-creative
description: "Write ad copy variants to each platform's specs, policy-checked and in brand voice. \"write ad copy for Meta\""
argument-hint: "[platform]"

/digital-marketing-pro:ad-creative

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Purpose

Generate high-performing ad copy variations tailored to specific platforms and formats. Each variation is scored for quality and compliance, with recommendations for testing strategy.

Input Required

The user must provide (or will be prompted for):

• **Product/service**: What is being advertised
• **Platform(s)**: Google Ads, Meta (Facebook/Instagram), LinkedIn, TikTok, X, Pinterest
• **Ad format**: RSA, single image, carousel, video script, story, etc. For video ad scripts (6s bumper, 15s skippable, 30s spot, UGC-style), route to /digital-marketing-pro:video-script — its step 2.4 carries the per-format structural rules (the 5-second skip deadline, one-message bumpers, native-style disclosure) and its output passes the /check gate. This skill owns the copy layer around the video: headlines, descriptions, and CTAs.
• **Campaign objective**: Awareness, traffic, leads, conversions, app installs
• **Target audience**: Who the ads are for
• **Key offer/CTA**: Promotion, value prop, or desired action
• **Landing page URL**: Where the ad will drive traffic (optional)

Process

1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults. 2. Identify platform-specific constraints: character limits, format requirements, policy restrictions. For X, read the ad-text rows in `scripts/paid_products.json` (reported: no hashtag in the ad text, at most one emoji, the URL in the card, not the text) 3. Generate 3-5 ad copy variations per platform, each with a distinct angle (benefit, urgency, social proof, curiosity, direct) 4. Score each variation on: brand alignment, clarity, emotional impact, CTA strength, policy compliance 5. Flag any potential policy violations (restricted claims, prohibited language) 6. Recommend A/B testing groupings and priority order 7. If landing page URL is provided, check message match between ad and page

Output

Per platform, a set of ad copy variations including:

• Headlines, descriptions, and CTAs formatted to platform specifications
• Quality score (1-10) with reasoning per variation
• Policy compliance check with flagged issues
• A/B testing recommendation with hypothesis for each test
• Message match assessment (if landing page provided)
• Creative direction notes for visual/video assets (see AI image/video generation guidance below)

AI image & video generation guidance (May 2026)

When the brief includes static visuals or short-form video, recommend the model that fits the use case and call out the compliance overhead:

| Asset type | Recommended model (May 2026) | When to use | Compliance note | |---|---|---|---| | Product hero stills, lifestyle photography, e-commerce tiles | **Google Nano Banana Pro** (Gemini 3 Pro Image, multi-image composition, character/object consistency) | Strong text rendering inside images (logos, on-pack copy), brand-character consistency across a campaign, high-fidelity product realism. | Outputs ship with SynthID watermarking by default; ALSO sign with C2PA via `/digital-marketing-pro:c2pa-metadata` before any EU distribution. | | Short-form social video (≤8s reels, organic vertical) | **A video model with synchronized native audio.** The model depends on the backend: resolve `latest-video-google` (Vertex AI) or `latest-video-gemini-api` (Gemini API) with `resolve_model.py`; a Gemini API key alone can't call the Vertex model | Reels, TikTok, Shorts cut-downs, ad-creative experimentation. | Synthetic-voice / synthetic-human content must carry a visible deepfake disclosure under EU Article 50 — see `skills/context-engine/compliance-rules.md` §1.1b. | | Long-form video with native audio / multi-modal storytelling | **Gemini Omni** (multimodal generation, May 2026 I/O launch — text + image + audio + video unified) | Connected-content campaigns where a single brief produces a hero film, social cut-downs, audio version, and stills consistently. Best for brands with disciplined creative governance — Omni's range outpaces most brand-safety review processes. | Default Omni outputs carry SynthID + Gemini provenance markers. Add C2PA before EU publish. Run synthetic-person outputs past Legal — Omni's photoreal humans frequently hit "substantial AI manipulation" thresholds under Article 50. | | Static image — fast iteration / mood-boarding | OpenAI gpt-image-2, Midjourney v7, Adobe Firefly | Internal mood boards, concept exploration. Not for shipped EU creative without C2PA. | Adobe Firefly applies Content Credentials to images it fully generates ("where 100% of the pixels are generated using Adobe Firefly", helpx.adobe.com); for the others, check the file with `embed-c2pa.py --verify` instead of assuming. Before EU publish, sign with `/digital-marketing-pro:c2pa-metadata` to add the `c2pa.ai-disclosure` assertion. |

**Workflo