As AI-powered search platforms increasingly influence how consumers discover brands and information online, marketers are facing a new challenge: understanding how their organizations appear across AI-generated answers. OtterlyAI is betting that visibility into those emerging search environments will become a core marketing metric, and the company is expanding its platform accordingly.

The AI Search Optimization provider has introduced a Public API, a Claude Skill, and a new workflow marketplace, allowing marketing teams to access and operationalize AI search visibility data directly within the tools they already use. The launch reflects a broader shift toward Generative Engine Optimization (GEO), an emerging discipline focused on improving brand presence across AI-powered search experiences.

OtterlyAI has announced a major expansion of its AI Search Optimization platform with three new products designed to integrate brand visibility insights into marketing workflows beyond its native dashboard.

The release includes a Public API, a Claude Skill for Anthropic's AI assistant, and the OtterlyAI Marketplace, a repository of more than 100 prebuilt workflows, prompts, and automation frameworks aimed at helping marketers monitor and improve their presence across AI search platforms.

The move comes as AI-powered discovery continues to reshape digital marketing strategies. Search experiences from Google, Microsoft, Anthropic, and other AI developers are increasingly delivering direct answers rather than traditional lists of website links. As a result, marketers are seeking new ways to measure whether their brands appear in AI-generated responses and which sources influence those recommendations.

Historically, AI visibility metrics have remained siloed inside specialized monitoring platforms. OtterlyAI's new Public API is designed to address that limitation by enabling organizations to programmatically access brand performance data, citations, tracked prompts, visibility reports, and optimization recommendations.

For enterprise marketing teams, this means AI search performance can be integrated directly into business intelligence platforms, analytics dashboards, reporting systems, customer data environments, and workflow automation tools.

The launch aligns with a broader trend across the MarTech sector. Modern marketing organizations increasingly favor composable technology stacks where data can move freely between applications rather than remaining isolated within individual platforms.

The Claude Skill extends that philosophy into conversational AI workflows. Through integration with Anthropic's Claude assistant, users can access OtterlyAI visibility data directly within chat-based environments. Marketers can ask questions about brand performance, identify citation opportunities, generate executive reports, and create content recommendations without switching platforms.

One practical use case highlighted by the company involves generating content briefs based on search prompts where a brand is currently absent from AI-generated answers. This capability reflects growing demand for AI-assisted content planning as organizations adapt to emerging search behaviors.

The third component of the release, the OtterlyAI Marketplace, introduces a community-driven ecosystem focused on AI Search Optimization workflows. The marketplace launches with more than 100 resources, including prompts, automation templates, agents, research frameworks, and optimization workflows designed for Generative Engine Optimization.

Workflows cover areas such as share-of-voice analysis, citation monitoring, brand visibility audits, competitive benchmarking, prompt research, and GEO performance assessments. Many of the templates integrate with platforms such as Claude and n8n, allowing teams to automate portions of their AI search optimization process.

The marketplace also introduces a collaborative element. Users can submit their own workflows, which OtterlyAI plans to review and publish, creating a growing repository of real-world optimization strategies contributed by the broader GEO community.

The announcement reflects a significant evolution in search marketing.

For decades, marketers primarily focused on ranking web pages within traditional search engine results. Today, AI-generated answers are becoming an increasingly influential layer between users and information sources. Instead of competing solely for rankings, brands now compete for inclusion within AI-generated responses.

This shift has given rise to metrics such as AI Share of Voice, Brand Visibility Index, citation frequency, source authority, and AI answer inclusion rates.

According to research from Gartner, search behavior is expected to continue evolving as generative AI becomes integrated into mainstream discovery experiences. Similarly, analysts at Forrester have noted growing enterprise interest in AI-powered customer journeys and conversational search interfaces.

OtterlyAI positions its platform as an intelligence layer that helps marketers understand these new dynamics across major AI ecosystems, including ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Microsoft Copilot.

The company also revealed plans to launch a Model Context Protocol (MCP) server in the coming weeks. MCP has emerged as an increasingly important standard for connecting AI agents with external data sources and applications. An MCP integration would allow autonomous AI systems to access OtterlyAI visibility data through a standardized framework, potentially expanding its role within agentic marketing workflows.

As AI search platforms continue to gain adoption, the ability to measure and optimize brand visibility within AI-generated answers is becoming an increasingly important component of modern search strategy. OtterlyAI's latest release signals that AI Search Optimization is evolving from a niche capability into a broader operational discipline integrated directly into marketing technology stacks.

Market Landscape

The rise of AI-powered search experiences is creating a new category within marketing technology known as Generative Engine Optimization (GEO). Unlike traditional SEO, which focuses on ranking web pages, GEO focuses on increasing brand visibility, citations, and authority within AI-generated responses.

Major technology companies including Google, Microsoft, Anthropic, OpenAI, and Perplexity are investing heavily in conversational search experiences, prompting marketers to develop new measurement frameworks. According to Gartner and Forrester, organizations are increasingly exploring AI search analytics, citation tracking, and conversational discovery metrics as search behavior evolves.

As a result, AI Search Optimization platforms are emerging as a new layer within enterprise MarTech stacks, complementing traditional SEO, analytics, and content optimization tools.

Top Insights

• OtterlyAI launched a Public API, Claude Skill, and Marketplace to bring AI search visibility data directly into enterprise marketing workflows.
• The new Marketplace includes more than 100 workflows covering GEO audits, citation analysis, share-of-voice monitoring, and AI search research.
• Claude integration allows marketers to generate reports, recommendations, and content briefs using AI search performance data within conversational workflows.
• The Public API enables organizations to integrate AI visibility metrics into reporting platforms, analytics systems, and automation tools.
• The company plans to release an MCP server, supporting deeper integration with AI agents and agentic marketing workflows.

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