Brand.ai vs Brand Context Protocol

Brand.ai has no write-up on Specifiction yet; its figures are above.

Brand Context Protocol (BCP) converts brand guidelines into structured JSON that tools, AI agents, and platforms can read and enforce. It checks content for tone, visuals, claims, and policies before publication. Brand X-Ray audits a website and public social signals, then reports coherence across visual, verbal, and presence dimensions without requiring signup for a scan. Published changes receive versions and changelogs, with rollback to earlier versions. API keys can be scoped by permissions and brand sections, monitored by usage, and revoked. Through MCP clients, BCP exposes brand-context retrieval, text evaluation and rewriting, design evaluation, image analysis, and document evaluation. Its Global Policy Library covers more than 38 marketing tactics and 15 claim types, with allow, warn, escalate, or block enforcement. Listed connections include Claude Desktop, ChatGPT, Slack, Zendesk, and Canva; the Canva app is in review with early access available. BCP is a free open standard built by Aryabhatta Labs. Scraped website text is sent to OpenAI for analysis, scan results are retained indefinitely, and deletion can be requested by email.