OtterlyAI, a platform that tracks how brands show up across AI search engines, has opened a public API, shipped a Claude Skill, and launched a marketplace of more than 100 prebuilt workflows. The platform monitors brand mentions, share of voice, citations, and a Brand Visibility Index across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot. With the API, teams can pull that data into their own reporting and automation; the Claude Skill lets a marketer ask Claude for brand performance without leaving the chat. An MCP server is planned next.
Why it matters: visibility inside AI answers is becoming something you measure and pipe, not something you guess at. For two years marketers have worried about being cited by chatbots that increasingly sit between them and the customer. Turning that worry into an API and a share-of-voice index makes AI-search optimization an operational practice with numbers attached, the way SEO became a dashboard discipline a generation ago.
The signal underneath: answer-engine optimization is maturing from buzzword to budget line. Once visibility is a feed that flows into reporting stacks and automations, it stops being a quarterly audit and becomes continuous, and it starts competing with classic SEO spend. We saw the same move when HubSpot put a price tag on AI-search visibility. The tooling layer forming around AI search is the clearest sign the channel is real. Source: OtterlyAI.
