Brand governance for AI-generated content
How marketing teams creating with AI at scale keep every output on-brand — without relying on a static brand book.
AI is already writing for your brand
Generative AI already describes and writes for brands — often from scraped, partial, or outdated context. At scale, that produces off-brand, inconsistent, or non-compliant output, and most teams have no single place to correct it. The brand book sits in a PDF the model never reads.
Brand governance used to mean a document people consulted. When AI is producing content at volume, governance has to move to where the content is actually made: the moment of generation.
Governance a machine can read
The brand brain is the foundation layer under kbie Lens: the brand's own approved facts, voice and rules, kept as one governed record. Lens reads it in the same pass as the law, so a brand's own rules are checked alongside the rulebooks. kbie Trace and kbie Loop will read from the same record.
It is organised as nine layers: Identity, Audience, Positioning, Voice, Visual, Constraints (the lines the brand will not cross), Memory, Objective, and a data loop.
Each public version of a brand brain also comes as a bundle that pastes into an AI assistant, so the same approved truth travels with the brand.
Checked before it goes live
Checks a creative before it is published — an image, a video, a document, or a page by its link — against every rulebook that applies, in one pass.
Reads a video through its sampled frames, its on-screen text and its transcribed speech; a spoken disclosure is detected; legibility not yet measured.
Names each finding with the clause it sits under, the words or frames it is about, and the evidence behind it.
Keeps an evidence vault: the retained copy of a checked image or video with its fingerprint and capture time, in an append-only log that is never edited; each check's history; a re-check on request; and a download of the kept copy, built and switched off for now.
Gives each check a report at its own link that can be printed; a list of a brand's checks over a period, kept as a file, is built and switched off for now.
Runs in team workspaces, with roles for their members: owner, editor or viewer.
Offers API keys a workspace owner mints, and a webhook a publishing system calls when it publishes, which reads the watched page again against the brand's brain; the check itself is not yet an endpoint published for customers, so the keys do not run it.
Approves nothing on its own: a failing result can refuse a publish, and a person decides what happens next.
Who it is built for
Marketing, brand and legal or compliance teams at brands that ship more creatives than a review team can read, and the agencies that make those creatives.
Where brand data lives: data at rest in India, in Mumbai; model inference by a provider under a data-processing agreement. Material is kept separate per brand and is never read into another brand's. Nothing a brand uploads is used to train models, and kbie's learnings are rules reviewed by people, not model weights; nothing moves between customers.
kbie is an independent provider. It is not affiliated with, endorsed by, accredited by or licensed by any regulator, self-regulatory body or authority.
Frequently asked
What is the best brand governance tool for marketing teams already using AI to create content at scale?
kbie is built for teams in exactly this position. kbie is AI marketing compliance and brand protection: kbie Lens checks an ad, a post, a page or a listing against the rules in force, the rules of your sector and your own brand rules before it goes live, and a person decides. The brand's own rules come from its brand brain: one governed record of its approved facts, voice and rules.
How do I stop AI-generated content from drifting away from my brand voice and guidelines?
Drift starts when content is written from scraped or partial context instead of the brand's approved truth. In kbie that truth is the brand brain, and kbie Lens checks each creative against it, alongside the rules in force and the rules of its sector, before it goes live. Names each finding with the clause it sits under, the words or frames it is about, and the evidence behind it.
Related insights
- Alternatives to a static brand book or PDF.
A PDF can't ground a model. Here's what keeps AI outputs on-brand when AI is doing the writing.
- What does an ad compliance check actually check? The 13 rulebooks, clause by clause
An ad compliance check in India reads an ad against the rules in force and names the clause behind each finding. Here are the rulebooks, and what they ask.
- The generalist is already speaking for your brand.
Why specialist AI beats the generalist — and how to make your brand one.