Paste a public domain. Get scroll-stopping, on-brand ads in seconds.

Make it yours: fork Branda into your own ad maker, or integrate its brand-research pipeline into an existing repo. Sign up for Context.dev to get your API key, then follow the quick start.

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Built by the Context.dev team 🥠

Branda is an open-source ad generator that turns a public website domain into four to six polished, on-brand marketing creatives. The hosted experience needs no login, brief, or settings — the domain is the only input. Branda pulls the brand's identity from the Context.dev Brand API, uses its extracted styleguide palette and Google Font when available, and grounds one to three distinct products with structured web extraction. It then morphs the page in place into a gallery: three company ads followed by one ad for each extracted product.

Paste notion.com and Branda will:

• 🎨 Pull the brand's logo and industry plus its styleguide palette and eligible Google Font
• 👀 Read the homepage as Markdown so the copy can reflect the brand's real voice
• 📦 Extract one to three distinct, fact-checked products with Context.dev web.extract and a JSON Schema generated from Zod
• 🧠 Have an LLM pick a distinct creative direction and write tailored copy for three company ads plus one ad per extracted product
• 🖼️ Render 4–6 distinct 1:1 ads in parallel — every ad uses a different image model (OpenAI, xAI, Google, ByteDance, Recraft)
• ⚡ Mark successful briefs and ads for shared-CDN caching to reduce duplicate generation while entries are fresh
• 📥 Download each ad (or every finished ad) and share to X, with best-effort clipboard copying when the browser permits it

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Examples

Real outputs, straight from Branda — one public domain in, 4–6 ads out:

stripe.com	notion.com	linear.app
vercel.com	openai.com	webflow.com

Example outputs are illustrative. Product names, logos, and trademarks belong to their respective owners; their appearance here does not imply sponsorship or endorsement, and the MIT license does not grant rights to those third-party marks.

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Table of contents

• What you get
• The 12 creative directions
• How it works
• Context.dev APIs used
• Quick start
• Configuration
• Customize or integrate
• Deploy safely
• Scripts
• Project structure
• Tech stack
• Contributing
• Built using Context.dev
• License

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What you get

• Domain → 4–6 ads, one input — no formats to pick, no messages to write, no style dropdowns. Paste a domain and the page morphs into a live gallery as each ad lands.
• Grounded in the real brand — logo and industry come from the Brand API; colors and an eligible Google Font come from the site's extracted styleguide, not a generic palette.
• Company plus products — every Ad Run starts with exactly three company ads, followed by one to three ads for distinct products extracted and fact-checked against the site with Context.dev.
• 12 creative directions — an LLM picks one distinct direction per ad, then writes a tailored headline and subheadline for the company or specific product being advertised.
• Up to 6 image models racing — gpt-image-1, gpt-image-2, and grok-imagine-image take the three company slots; one to three of imagen-4.0, seedream-4.5, and recraft-v4.1 render the product slots. Every ad streams in the moment its model finishes.
• Fact-grounded copy — company headlines draw from the real homepage, while Product headlines draw from structured extraction and prompts that require factual positioning.
• CDN-cacheable — successful brief and ad responses include shared-cache headers, reducing duplicate generation work behind Vercel or another compatible CDN.
• All downloadable — every ad individually, or every finished ad at once. Sharing opens the X composer and copies the first finished image when the browser supports clipboard images.

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The 12 creative directions

Every generation picks 4–6 distinct directions from these:

Key	Style	Best for
product_hero	Editorial product shot, dramatic studio lighting	Physical products, hardware
isometric	SaaS-landing-page isometric diagram	B2B SaaS, dev tools, APIs
typographic	Swiss-design poster, massive type	Statement-driven or abstract products
macro_material	Extreme close-up of a material/surface	Beauty, food, fashion, premium finishes
gradient_field	Pure atmospheric gradient	AI products, fintech, abstract services
editorial_spread	Magazine spread (Kinfolk/Monocle vibe)	Lifestyle, food/drink, travel
sculptural_object	Abstract 3D object in studio space	Tech/AI with no physical product
data_viz	Chart-as-art	Analytics, BI, observability
blueprint	Technical schematic drawing	Engineering, hardware, infrastructure
retro_arcade	Late-80s neon/grid aesthetic	Gaming, playful brands
monochrome_crop	Tight single-hue detail crop	Luxury, watches, minimalist brands
collage	Cut-paper layered collage	Agencies, education, media

All twelve prompt templates share a strict typography spec (the only text allowed is the headline, subheadline, and wordmark) and hard rules (no hex codes, no placeholder text, no people/faces/hands). Styleguide colors are converted to phrases like "vivid purple", because image models literally print strings like #543cfc onto the art when given raw codes. When the styleguide's primary typography references a verified Google Font, its family name is passed into every image prompt; otherwise the prompt uses a neutral sans-serif fallback.

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How it works

┌──────────────┐ GET /api/brief?domain=…&v=3 ┌──────────────────┐
│ Paste domain │ ──────────────────────────▶ │ Context.dev API │
└──────────────┘ └──────────────────┘
│ brand + homepage md + styleguide palette/typography
│ + 1–3 fact-grounded products via web.extract + Zod JSON Schema
▼
┌────────────────────────────────────────────────────┐
│ one LLM call plans 3 company concepts followed by │ gpt-5.4-mini
│ 1–3 product concepts, with grounded copy for each; │
│ distinct models: 3 primary, then 1–3 secondary │
└────────────────────────────────────────────────────┘
│ { brief, concepts[4..6] } ← cached on Vercel CDN
▼
4–6 × GET /api/ad?domain=…&concept=…&model=…&headline=…
│ each returns one 1:1 image ← cached on Vercel CDN
▼
Ads stream into the gallery · Download · Share on X

1. The brief — GET /api/brief makes four Context.dev calls in parallel: Brand data, homepage Markdown, styleguide extraction, and structured web extraction. Product extraction uses a JSON Schema generated from Zod and Context.dev fact checking. The planner derives two describable colors from the styleguide's accent/background/text palette and carries a typography family only when the styleguide marks it as a Google Font. One LLM call then writes three company concepts followed by one concept for each of the one to three distinct Products. Successful responses are shared-cacheable per versioned domain key (s-maxage=3600, one-day stale-while-revalidate).
2. The ads — the client fires 4–6 parallel GET /api/ad requests, one per Planned Concept. Everything the prompt needs — including whether the subject is the company or a specific Product — travels in the query string, so compatible CDNs can cache each finished image by its full URL (s-maxage=86400, seven-day stale-while-revalidate). The three primary models can receive a validated raster logo as an image reference; unsupported or rejected logo inputs fall back to text-only generation. Transient failures retry with backoff; failed slots expose a per-ad Retry button, and errors are never cached.
3. Ship — each ad fades into the dynamically sized gallery as its model finishes. Download one, download every finished ad, or share to X.

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Context.dev APIs used

Branda makes exactly four Context.dev calls, all isolated in src/lib/context.ts. These links are the canonical API pages listed in the Context.dev documentation sitemap.

SDK operation	What Branda uses it for	API reference
client.brand.retrieve	Brand name, description, slogan, industry, and logo	Retrieve Brand Data
client.web.webScrapeMd	Homepage Markdown for grounded company copy and reachability checks	Scrape Markdown
client.web.extractStyleguide	Accent/background/text colors, visual mood, and eligible Google Font metadata	Extract Styleguide
client.web.extract	One to three Products against a Zod-derived JSON Schema, with fact checking	Extract Structured Data

Want to use the same APIs in your own app? Create a Context.dev API key.

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Quick start

Prerequisites:

• Node.js ≥ 20
• A free Context.dev API key — Brand data, Markdown scraping, styleguide extraction, and structured Product extraction
• A Vercel AI Gateway key — copy + image generation

# 1. Clone
git clone https://github.com/context-dot-dev/ad-maker.git
cd ad-maker
# 2. Install
npm install
# 3. Configure
cp .env.example .env
# add CONTEXT_DEV_API_KEY and AI_GATEWAY_API_KEY to .env# 4. Run
npm run dev # http://localhost:3000

Open http://localhost:3000, paste a domain, and watch 4–6 ads roll in. That's it.

Note

A single Vercel AI Gateway key serves everything Branda uses — concept picking, copy, and up to six image models — from one credit balance, with no per-provider keys to manage.

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Configuration

All configuration is environment variables (see .env.example).

Variable	Required	Description
CONTEXT_DEV_API_KEY	Yes	Context.dev key — powers all four Context.dev API calls
AI_GATEWAY_API_KEY	Yes	Vercel AI Gateway key — powers concept picking + copy (gpt-5.4-mini) and up to six image models

API keys are read only by server code. Never prefix either secret with NEXT_PUBLIC_, commit .env, or paste a key into an issue, log, or screenshot.

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Customize or integrate

• Run your own Branda: fork the repo, replace the branding and example assets, configure your keys, and deploy the complete Next.js app.
• Add brand research to an existing repo: start with src/lib/context.ts, which keeps all four Context.dev operations behind small typed adapters. The Ad Run contract is in src/lib/ad-run.ts, and orchestration is in src/lib/generate/planner.ts.
• Change the creative system: edit the Creative Direction catalog in src/lib/generate/directions.ts, prompts in src/lib/generate/concepts.ts, or Image Models in src/lib/generate/models.ts.

The UI and renderer are separable from Context.dev enrichment, so you can reuse the adapter without adopting the gallery or image-generation stack.

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Deploy safely

npm run build && npm run start runs the production app. On Vercel, import the repo and set the two required environment variables; the route hints allow up to 120 seconds for brief planning and 300 seconds for image rendering, so other hosts need equivalent request limits.

The included /api/brief and /api/ad routes invoke billable services and are intentionally callable by the browser. Before exposing your own deployment, add authentication and/or rate limiting appropriate to your audience, set provider spend alerts, and understand the cost of up to four Context.dev calls, one text-model call, and six image-model calls per uncached Ad Run. Successful responses benefit from a compatible shared CDN cache; failures use no-store.

The app loads Plausible (privacy-friendly, cookieless analytics) via a script tag in src/app/layout.tsx; forks should swap in their own Plausible script URL or remove the tag. The default UI also requests a Google-hosted font and Google favicon service; privacy-sensitive forks can self-host or remove those requests.

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Scripts

Command	What it does
npm run dev	Start the Next.js dev server
npm run build / npm run start	Production build / serve
npm run typecheck	TypeScript checks
npm test	Run the interface and policy test suite
npm run test:watch	Run tests in watch mode while developing
npm run verify	Run type checks, tests, and the production build

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Project structure

The canonical domain language and module relationships live in CONTEXT.md.

src/
app/
api/
brief/route.ts # domain → brand + products + 4–6 concepts w/ copy (CDN-cached)
ad/route.ts # one concept → one 1:1 ad image (CDN-cached by URL)
page.tsx # the single page — hero morphs into the gallery
components/
ad-maker.tsx # hero, brand bar, progress, dynamic 4–6-slot gallery
hooks/
use-ad-maker.ts # legal Gallery stages, parallel rendering, retries, URL ownership
lib/
ad-run-policy.ts # run composition, ordering, and shared field limits
ad-run.ts # shared Ad Run contract, invariants, and canonical GET codecs
brand-color.ts # canonical Brand color validation
font-family.ts # safe styleguide Google Font family validation
context.ts # Context.dev Brand, page, styleguide, and Product adapter
net.ts # canonical domain normalization
public-raster.ts # DNS-pinned, size-bounded public logo loading
public-url.ts # cross-runtime public URL syntax policy
generate/
directions.ts # cross-runtime Creative Direction catalog
models.ts # Image Model tiers, names, and capabilities
concepts.ts # server-only prompt implementations
brief.ts # homepage summary + concept copywriting
colors.ts # hex → describable color phrases
gateway.ts # internal Vercel AI Gateway adapter
planner.ts # domain → validated Brief + 4–6 Planned Concepts
renderer.ts # one Planned Concept → retried Rendered Ad
public/ # logo, cover, ad examples

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Tech stack

• ▲ Next.js 15 (App Router) + React 19 + TypeScript
• ⚡ Context.dev — Brand data, homepage Markdown, styleguide extraction, and structured Product extraction
• 🤖 Vercel AI SDK + AI Gateway — gpt-5.4-mini for concept picking & copy; gpt-image-1, gpt-image-2, grok-imagine-image, imagen-4.0, seedream-4.5, and recraft-v4.1 for the ads (one per ad)
• 🌍 Vercel CDN — briefs and finished ads cached at the edge via Cache-Control: s-maxage
• 🎨 Tailwind CSS + Geist font

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Contributing

Contributions are very welcome — new creative directions, better prompts, alternative image models, UI polish, you name it.

1. Fork the repo and create a branch: git checkout -b feat/my-feature
2. Make your change — keep it focused; small PRs get reviewed fast
3. Check it passes — npm run verify
4. Open a PR describing what changed and why (screenshots or generated ads are a huge plus)

Found a bug or have an idea? Open an issue — no contribution is too small.

See CONTRIBUTING.md for the full guide.

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Built using Context.dev

Branda gets its Brand metadata, logos, colors, homepage content, visual styleguide, and fact-grounded Products from a single API. Want to build your own brand-aware tool or agent?

importContextDevfrom"context.dev";import{zodSchema}from"ai";import{z}from"zod";constclient=newContextDev({apiKey: process.env.CONTEXT_DEV_API_KEY});constproductExtraction=z.object({products: z.array(z.object({name: z.string(),description: z.string(),}),).min(1).max(3),});constschema=awaitzodSchema(productExtraction).jsonSchema;const[brand,homepage,styleguide,productData]=awaitPromise.all([client.brand.retrieve({type: "by_domain",domain: "notion.com"}),client.web.webScrapeMd({url: "https://notion.com",useMainContentOnly: true,}),client.web.extractStyleguide({domain: "notion.com"}),client.web.extract({url: "https://notion.com",
schema,factCheck: true,}),]);const{ products }=productExtraction.parse(productData.data);

👉 Get your free API key →

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License

MIT © Context.dev

Built with 🥠 by the Context.dev team.

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Make it yours

Fork Branda to launch your own version, or copy the Context.dev adapter into an app you already maintain. Sign up for Context.dev and get your API key to start building.