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Ceramic vessels, a disc of raw clay, and a torn sheet of paper arranged on a sunlit studio table, a still life for creative work made by hand.
Use case — Ad creative

Scale ad creative across Meta, Google, and TikTok without the brand drift.

Performance teams need volume. Brand teams need consistency. Aravi AI gives you both: every ad your team generates reads your brand profile first, then gets scored against it before it ships.

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The problem

Why AI ad creative goes off-brand.

None of it is the tool's fault. It just never saw your brand before it started guessing.

Every model defaults to the same look
Ask an image tool for an ad and it reaches for the same blue gradients and stock-photo handshakes every other SaaS ad uses. Aravi AI serves your actual palette, type, and imagery rules before a single pixel renders.
Copy comes back in the model's voice, not yours
Aravi AI feeds your tone rules, vocabulary, and messaging pillars straight into the tool writing the headline, so the ad sounds like your last ten emails, not a generic best-practices template.
Every channel looks like a different company
One brand profile feeds Meta, Google, TikTok, LinkedIn, and email at once. Switch platforms and the palette, voice, and rules don't reset.
Nobody has time to check 200 variants by hand
Every output gets the same 0–100 score Validate runs on everything else your team ships. Off-brand creative gets flagged before a media buyer sees it, not after it's already spending budget.
Channels

On-brand across every ad platform you run.

Meta / Facebook Ads
Google Display & Search Ads
TikTok Ads
LinkedIn Sponsored Content
Email campaign banners
Programmatic display
How it works

Every ad tool reads the same profile before it makes anything.

Aravi AI sits between your brand and whatever tool your team already uses — Midjourney, Meta's own generator, ChatGPT for copy. Before it makes a single asset, the tool queries your brand profile over MCP or REST and gets your colors, type, voice, and imagery rules back.

mcp · brand-profile
Request
GET /mcp/brand-profile
agent: "meta-ads-generator"
scope: voice, palette, imagery
Response · 200 · 84ms
{
  "voice": ["confident","direct","no jargon"],
  "palette": {"ink":"#17100d","teal":"#45848d"},
  "imagery": ["no stock handshakes","warm dusk light"],
  "profile_version": "2.3"
}

After generation, that same ad gets scored against the profile before it ships. Copy that drifts from your tone is flagged. Visuals in the wrong palette are caught. What reaches your media buyer already passed the check a designer used to do by hand.

Before you join

What teams ask before they switch.

Neither replaces your ad tool. Aravi AI sits between your team and whatever you're already using — Midjourney, Meta's own generator, ChatGPT for copy — feeding it your brand profile first and scoring what comes back before it ships.

Any platform your team already generates creative for: Meta, Google, TikTok, LinkedIn, and email. Aravi AI reads your brand profile into the tool you're using — you don't switch ad platforms to use it.

Every output gets a 0–100 score against your brand profile, covering voice, palette, and imagery rules — the same scoring Validate runs across every AI-generated asset your team ships.

No. Aravi AI builds your profile from what you already have — decks, docs, and a style guide — not a new workshop.

Scale your ad creative without losing your brand.

Join the waitlist to generate on-brand ad creative across every platform you run.

Join the waitlist