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A dune-like landscape of folded warm linen and paper, lit at dusk, an abstract metaphor for daily content shipped at volume.
Use case — Social media

Post across five platforms a day without sounding like five different brands.

AI makes daily posting across five platforms possible. Aravi AI makes sure every post still sounds like you: it reads your brand profile before a tool drafts anything, then scores what comes back before it publishes.

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The problem

Why AI social content goes off-brand.

Same root cause as ad creative: the tool never saw your brand before it started drafting.

Every draft reads like the model's default voice
Ask ChatGPT for a LinkedIn post and you get the model's average voice, not yours. Aravi AI feeds your actual tone, vocabulary, and messaging pillars into the tool before it drafts a word.
Visual identity resets every time you switch apps
Your palette, type, and imagery rules travel with the profile, not the platform. Instagram, LinkedIn, and TikTok all read the same source.
Five people on your team get five different results
Everyone hits the same brand profile, whether it's the intern drafting a caption or the founder drafting a thread. One source of truth, not five interpretations of a two-year-old deck.
Volume outruns your ability to check it by hand
Every post gets scored against your brand profile automatically, the same 0–100 check Validate runs on ad creative and everything else your team ships.
Platforms

Consistent across every social platform.

Instagram posts & stories
LinkedIn articles & posts
X / Twitter threads
TikTok captions & scripts
Facebook posts & ads
Pinterest pins
How it works

Every social tool reads the profile before it drafts.

When someone on your team asks an AI tool to draft a caption or a thread, that tool checks your brand profile first, over MCP or REST, the same endpoint every other tool on your stack calls.

mcp · brand-profile
Request
GET /mcp/brand-profile
agent: "linkedin-post-draft"
scope: voice, terms, tone
Response · 200 · 84ms
{
  "voice": ["confident","direct","no jargon"],
  "terms": {"customers":"teammates"},
  "tone": {"exclamation_points": false},
  "profile_version": "2.3"
}

The draft comes back sounding like the last ten posts you actually published, not the model's generic register. Then it gets checked: off-brand tone, wrong colors, or messaging that drifts from your positioning is flagged before it goes out, the same job Validate does on every other AI output your team ships.

Before you join

What teams ask before they switch.

No. Aravi AI doesn't post for you or replace Buffer, Hootsuite, or whatever you schedule with. It sits earlier in the process, feeding your brand profile to whatever AI tool drafts the copy or visuals, then scoring the result before it goes into your scheduler.

Any platform your team posts to: Instagram, LinkedIn, X, TikTok, Facebook, and Pinterest. The profile isn't platform-specific, so switching where you post doesn't reset your voice or visual identity.

They read the same brand profile every other tool on the team already queries. No ramp-up deck, no waiting for a designer to walk them through the palette.

A 0–100 score against your voice, palette, and imagery rules, the same scoring Validate runs on ad creative and every other AI-generated asset your team ships.

Post more without losing your voice.

Join the waitlist to generate on-brand social content across every platform you run.

Join the waitlist