Building agentic brand systems for
every team.

brand-record
NameDescription

Your competitors use the same AI.
Context is what sets yours apart.

One source of truth,
written for machines

Your voice, audience, terminology, approved claims, and design, in one private record you own, kept on GitHub.

brand
Shared by every team
  • company names
  • product and plan names
  • current and retired pricing
  • preferred and banned terms
  • date, number and currency style
  • approved URLs and CTA wording
Shared patterns
  • company boilerplate
  • press releases
  • bios and descriptions
Shared facts
  • positioning statement
  • proof points, with sources
  • customer logos, with permission
  • awards and certifications
  • claims never to make
What you ask
What it checks
  • Company and product names exact
  • Category matches the record
  • Founding year and headcount from record/company.md
  • No approved figure for customer count
What comes back
  • Names spelled as the record has them
  • One approved description, not three
  • Dates and numbers in house style

What changes when
AI knows your brand

Compounding accuracy

The longer the record is kept, the more of what AI says about you comes from you.

Less risk

Nothing wrong goes out under your name, from the tools you run or from the assistants describing you.

Less rework

Work comes back right the first time, because whatever made it read the same brief your reviewer will.

Faster sales

Reps know what’s claimable; fewer escalations, fewer retractions.

From audit to upkeep

Seven things we do, in the order they happen.

  1. Context audit

    01 / 07
    41 from your material47 stale or partial32 invented120 answers, 6 assistantsSample · illustrative

    Where your AI goes off-brand, and why.

  2. Brand context build

    02 / 07
    positioning.md9 sourcesclaims/pricing.mdapprovedclaims/security.mdno source

    Voice, audience, messaging, proof and guardrails, in one pack.

  3. Design context build

    03 / 07
    colortypespaceradiusmotionicongridelevation

    Your identity as tokens and rules an AI can apply.

  4. Deployment and setup

    04 / 07
    Claudeproject + skillsChatGPTworkspaceYour agentsreading the repo

    Your context, inside the tools your team already uses.

  5. Team training

    05 / 07
    BrandContentDesignProductSalesLegal
    one session, one guide, named owners

    One session, one guide, and everyone knows what to use.

  6. Testing and evaluation

    06 / 07
    description17/20recommendation15/20competitive position14/20contamination18/20evidence gaps12/20

    Before and after, on real tasks, scored.

  7. Context maintenance

    07 / 07
    findings per week, 12 weeks · falling

    A monthly retainer that keeps the record current.

Integrations

Your context works in all six

One context, not six integrations to keep in step. Each tool sees only what your brand has approved, and anything that should change comes back as a review — over the Model Context Protocol, not a plug-in written for each one.

ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot

Let’s build your department.

NewGood context is where AEO starts