OtterlyAI's New API Aims to Automate AI Search Optimization

VIENNA, AUSTRIA – June 01, 2026 – As brands grapple with the seismic shift towards AI-powered search, Vienna-based OtterlyAI today launched a trio of products designed to move critical visibility data out of isolated dashboards and directly into marketers' hands. The release includes a Public API, a dedicated Skill for Anthropic's Claude, and a Marketplace of over 100 pre-built marketing workflows, signaling a new phase in the battle for brand presence in the "zero-click" era.

From Data Silos to Integrated Workflows

Until now, insights into how a brand appears across generative AI platforms like ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot were largely confined within the OtterlyAI platform. The launch of its Public API dismantles this barrier, allowing marketing and development teams to programmatically pull brand reports, citation data, and search prompt performance. This enables direct integration into internal reporting stacks, automation platforms like Zapier, and custom-built tools.

"AI Search is already a major channel for many brands," said Thomas Peham, CEO and co-founder of OtterlyAI, in a statement. "The API and the Claude Skill let people build with their visibility data directly."

This move addresses a significant market need. With the AI in marketing sector projected to grow at a compound annual rate of 36.6% through 2028, enterprises are rapidly moving from experimentation to full integration of AI into their core operations. OtterlyAI's API is positioned to facilitate this transition for search marketers.

Complementing the API is the new Claude Skill. This allows users within Anthropic's popular AI chat interface to query OtterlyAI's data directly. A marketing manager, for example, can now ask Claude to summarize their brand's performance in AI search for the last quarter, identify prompts where competitors are mentioned but they are not, and even generate a content brief to address those gaps—all without leaving the chat window. This seamless integration leverages Claude's advanced reasoning to turn raw visibility data into strategic action.

Winning in the 'Zero-Click' Era

The strategic importance of these tools is underscored by the dramatic changes in user search behavior. The rise of AI Overviews and other direct-answer features has accelerated the trend of "zero-click" searches, where users get their answers on the results page without clicking through to a website. Some industry reports have noted a nearly 35% drop in click-through rates for some informational queries since the broad rollout of AI summaries. With over half of consumers now intentionally using AI for search, the core challenge for brands has shifted from ranking in a list of links to being the cited authority within an AI-generated answer.

This is the domain of Generative Engine Optimization (GEO), a new discipline focused on ensuring AI models discover, understand, and trust a brand's content. OtterlyAI's platform is built to provide the necessary intelligence for GEO, tracking brand mentions, source citations, and share of voice across the AI search landscape.

The new tools take this a step further. By making the data accessible via an API, a brand can automate the monitoring of its GEO efforts. For instance, a workflow could be created to trigger an alert in Slack whenever a competitor is cited for a key industry term, or automatically generate a task in a project management tool for a content writer to update an article that an AI engine has misinterpreted. This level of automation moves teams from a reactive posture of reviewing monthly reports to a proactive, real-time optimization cycle.

A Marketplace of Collective Intelligence

Perhaps the most ambitious part of today's launch is the OtterlyAI Marketplace. Debuting with over 101 production-tested workflows, the marketplace provides a library of prompts, tools, and automation templates for tasks like brand visibility audits, citation gap analysis, and share of voice comparisons.

Crucially, the marketplace is not a closed system. OtterlyAI is inviting its customers and the broader marketing community to submit their own successful workflows. This open, community-driven approach has the potential to create a powerful ecosystem of shared knowledge. It mirrors the success of platforms like Zapier and n8n, whose value grew exponentially as their communities contributed solutions for a vast array of use cases.

"The Marketplace gives them a head start with workflows that already work," Peham noted.

For marketing teams, this could dramatically lower the barrier to entry for sophisticated AI search strategies. Instead of building a complex citation gap analysis from scratch, a team can now download a pre-built template, connect it to their OtterlyAI data via the API, and get actionable insights in minutes. As the community contributes new solutions for emerging AI platforms and challenges, the marketplace could become an indispensable resource for staying ahead of the curve.

This strategy also positions OtterlyAI cleverly in a competitive field. While several tools have emerged to offer AI search visibility monitoring, OtterlyAI is betting that providing the tools for integration, automation, and community collaboration will be the key differentiator. The company also announced that a Model Context Protocol (MCP) server is planned for the coming weeks, which would create a standardized way for autonomous AI agents to connect to and utilize OtterlyAI's data, further cementing its role as a foundational data layer for the future of AI-driven marketing.