Automated Multi-Modal Marketing Tools
Generate on-brand text and image ads across Meta, LinkedIn, and Google in one AI workflow — with brand-safety checks. For marketers and small businesses.
A performance marketer at an eight-person ecommerce brand kicks off a Tuesday launch with four tabs open: ChatGPT for headlines, Canva for the square and the story, HubSpot for the nurture email, Meta Ads Manager for the placement. By Thursday the copy says “clean, clinical, dermatologist-backed” and the image is a lifestyle shot with a serif overlay the brand has never used. The email uses a third voice because the intern ran a different prompt. Last quarter’s catalog creative is still the top spender because nobody had hours left to swap the set. The experiment never happened. Production ate the week.
Built for Marketers, Small Business Owners, Solo Founders.
$1.6B → $27B multimodal AI (2024–2034), 32.7% CAGR — MarketsandMarkets; GM Insights as the second print. Foundation models finally emit coherent copy and image from one brief.
Suggested stack: Next.js (App Router) + Vercel, Supabase (Auth + Postgres + Storage), OpenAI + Flux (Replicate or Together), Critic pass (Claude Haiku or GPT-4o-mini), Stripe Billing, Meta Marketing API + Google Ads API (month two). Weekend scope: about 10 hours.
The Problem
A performance marketer at an eight-person ecommerce brand kicks off a Tuesday launch with four tabs open: ChatGPT for headlines, Canva for the square and the story, HubSpot for…
The Solution
Crossform is a campaign workspace, not a canvas and not a chatbot. You load a brand kit once — voice rules, forbidden claims, fonts, hex colors, product shots, offer — then drop a…
Market Research
$1.6B → $27B multimodal AI (2024–2034), 32.7% CAGR — MarketsandMarkets; GM Insights as the second print. Foundation models finally emit coherent copy and image from one brief.
Competitive Landscape
HubSpot — SMB automation default: email, CRM, landing pages, light AI copy. Ecosystem is the moat; image generation and multi-modal campaign objects are not. Freemium, then…
Business Model
Bait — Sample generator ($0) — 5 matched pairs, 1 brand kit, watermarked exports. The sales call is the product in a Meta feed in 90 seconds.
Recommended Tech Stack
Next.js (App Router) + Vercel — Marketing site, app shell, webhook endpoints. One repo. Vercel AI SDK for the copy stream; generation jobs on Fluid compute or a queue so the UI…
AI Prompts to Build This
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1. Project Setup
Build the weekend MVP of "Crossform": a campaign workspace that makes matched ad pairs, copy and image from the same brief and brand kit, and checks them for brand safety. Stack: Next.js (App Router), TypeScript, Tailwind, Supabase (Postgres, Row Level Security, Storage, Auth with email magic link), the OpenAI API (a small model) for the copy and the critic pass, Flux through Replicate for the images. Generation runs in a route handler with a status the page polls. No keys in client components. Deploy on Vercel. Channels this weekend: meta_feed and linkedin. Meta story and Google display come next. Tables (Row Level Security on, each user reads only their own rows): - brand_kits(id, user_id, voice_rules, forbidden_claims, hex_colors, product_shot_paths, version) - campaigns(id, kit_id, brief, channels, status) - variants(id, campaign_id, channel, headline, primary_text, cta, image_path, critic jsonb, approved_at) - audit_events(id, campaign_id, action, model, kit_version) Screens: /login, /kit (the brand kit), /campaigns/[id] (the brief and the variants side by side). Env vars (names only): NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY (server only), OPENAI_API_KEY, REPLICATE_API_TOKEN. Do not build: billing, plans or image overage, Meta or Google Ads pushes, a job queue service, white-label, more than two channels. Done when: npm run dev starts, you can sign in, and the four tables exist with Row Level Security on.
2. Core Feature
Build the one feature that proves Crossform: copy and image that match, on brand, ready to review. 1. POST /api/campaigns/[id]/generate runs for each channel. Step 1: ask the small model for JSON { headline, primary_text, cta, alt, char_counts }. The system prompt includes the voice rules, the forbidden claims and the platform limits (Meta primary text 125 characters, headline 40). Retry once if a forbidden phrase appears. 2. Step 2: make the image with Flux img2img from the first product shot, with the hex colors as a style lock. Never put copy into the image itself. 3. Step 3: a critic pass on a second call returns { voice_drift: 0-1, claim_risk: 0-1, flags: string[] }. 4. Save the variants and one audit_events row per model call. Make 3 variants per channel, each changing one variable. Run at most 4 image jobs at once per user. 5. /campaigns/[id] shows each text and its image side by side with the critic flags, and an Approve button that sets approved_at. Rules: never approve a variant with a claim_risk over 0.7 without an explicit override that is logged. Empty state: with no brand kit, show the kit form first. Done when: a brief produces three matched pairs for each of the two channels, a forbidden claim is caught and retried, and approving a variant is logged.3. Landing Page
Build a one-page landing site for Crossform, matched ad pairs for marketers. Hero: "Text and image, same brief, same brand." Sub: "Stop pasting chat output into a design tool. Matched ad pairs for Meta and LinkedIn, with a compliance pass before export." One button: Generate a sample pair, which joins the waitlist. Sections: a live mock (the brief on the left, three pairs on the right), the problem (four tabs, three voices, zero tests), how it works in four steps (lock the brand kit, brief the campaign, review and comply, export or push), and an FAQ on copyright, the brand-kit lock and Ads Manager push. Waitlist: store the email in a waitlist table in Supabase. No other service. Style: Geist, near-black on off-white, one mint accent. Done when: the page renders on a phone and a submitted email appears in the waitlist table.
4. Branding Package
Use a design or image tool for this one. A coding agent cannot draw a logo. Brand for Crossform: a wordmark and an icon that suggest two halves that match. Colors: near-black, off-white and one mint accent. Type: Geist for the interface and a mono for character counts. Deliverables: wordmark, icon, a matched-pair card style, and one launch graphic. Done when: each deliverable is saved in one folder and the icon reads at 32 px.