Turn scattered brand materials into enforceable AI guardrails so every piece of content Claude generates sounds like your company wrote it.
Brand Voice searches your existing knowledge platforms — Notion, Confluence, Google Drive, Box, SharePoint, Gong, Granola, Slack, and Figma — to find the brand materials your team already has but no one can find quickly. It distills those scattered documents, pitch decks, call transcripts, and style guides into a single set of guidelines that Claude can enforce automatically. Every time you ask Claude to write a cold email, proposal, or LinkedIn post, the output matches your company’s voice from the start rather than sounding like generic AI copy.
“Discover our brand voice across all our platforms”
A discovery report listing every brand material found, ranked by reliability, with conflicts and gaps flagged for your review.
“Generate brand guidelines from the discovery report and these PDFs”
A structured guideline document with voice attributes, a tone-by-context matrix, terminology standards, and confidence scores per section.
“Write a cold email to a VP of Sales at a mid-market SaaS company”
A brand-aligned email with the right formality, energy, and terminology for that audience, plus notes explaining which guidelines were applied.
Connects to nine platforms via MCP connectors and native integrations: Notion (which federates across Google Drive, SharePoint, Slack, and Jira), Atlassian Confluence, Box, Microsoft 365 (SharePoint and OneDrive), Figma, Gong, and Granola. Google Drive and Slack are available natively through Claude Desktop without additional setup. The plugin works standalone with uploaded documents if no platforms are connected, but discovery requires at least one document storage platform.
Federated platform search — Runs parallel searches across all connected platforms using brand-specific query patterns, so materials are found regardless of where teams stored them.
Five-tier source ranking — Categorizes every source from official brand guides down to stale documents and scores them on recency, authority, and specificity, so the most trustworthy materials drive the guidelines.
Conversation pattern recognition — Analyzes sales call transcripts to surface how top performers actually speak, extracting phrases that win deals and language patterns that stall them.
Voice-constant, tone-flex enforcement — Keeps the brand’s personality fixed while adjusting formality, energy, and technical depth for each content type, so a cold email and an enterprise proposal both sound like the same company.
Confidence scoring with open questions — Rates every guideline section by the strength of its evidence and surfaces unresolved ambiguities as confirm-or-override decisions, so teams know exactly where to focus their review.