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Otterly.ai

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About this tool

Otterly.ai is a brand monitoring and optimization platform for the AI search era. According to its official description, it is positioned as an AI search monitoring platform used to track brand mentions, citations, and visibility in AI-generated answers, and to help with Generative Engine Optimization (GEO).

Purpose The core purpose of Otterly.ai is to analyze how AI search engines mention and cite brands, covering platforms such as ChatGPT, Google AI Overviews, Google AI Mode, Claude, Perplexity, Gemini, and Microsoft Copilot. It is designed to let marketing teams understand whether a brand is recommended by AI, under which questions it appears, and how it performs compared with competitors, so they can formulate content and PR strategies accordingly.

Main capabilities

  1. AI prompt research: discover the prompts, topics, and intent patterns that drive AI-generated answers.
  2. AI search analytics: monitor when brands and websites appear or disappear across major AI search engines.
  3. Content intelligence and optimization: provide crawlability checks, content audits and predictions, and content briefs to help turn pages that are not cited by AI into AI sources.
  4. GEO optimization: provide intelligent recommendations to make content more likely to be cited by AI engines.
  5. Multi-AI search engine coverage: the official description says it currently covers ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, and AI Mode, and states that it continues to expand.
  6. Brand mention tracking and competitor comparison: by defining a prompt library, it automatically runs across multiple AI engines, identifies which brands are cited, with what frequency and in what context, and reveals Share of AI Voice (the proportion of AI citations a brand receives).
  7. Citation and sentiment analysis: monitor link citations and brand sentiment, and provide dashboards and alerts.
  8. Public API: the OtterlyAI Public API allows programmatic access to brand reports, prompts, citations, and workspace data.

How to use After users register an account, they can define search prompts that simulate real user queries and build a prompt library. The platform will automatically run these prompts across multiple AI engines, identify the situations, frequency, and context in which the brand is cited, and generate reports and dashboards. The platform offers a 7-day free trial with no credit card required, and pricing starts at $29 per month. The official description says users can start monitoring immediately after registration, and mentions that the first batch of brand- and product-specifictrigger monitoring setup can be completed within one hour.

Use cases Suitable for marketing teams, content strategists, agencies, and brands, especially teams investing in Generative Engine Optimization (GEO). It can be used to track brand visibility in AI search, benchmark against competitors, discover content gaps, optimize pages and third-party source coverage, and demonstrate AI search performance to clients.

Limitations and notes The official description states that OtterlyAI may produce different results from manually searching in ChatGPT or Perplexity, because those platforms use Memory RAG to store user information and search history and personalize based on factors such as location, whereas OtterlyAI is designed to provide the most neutral and objective monitoring. The official description also points out that LLM monitoring solutions usually only track the direct output of large language models and do not provide insights into link citations, whereas OtterlyAI directly analyzes AI search platforms, so it can provide insights into link citations, sentiment, and visibility.

Other information According to the official description, OtterlyAI is recognized by G2, OMR, and Gartner, and is said to be used by 40,000+ marketing professionals. The platform also provides learning resources about GEO experiments, such as comparisons between Markdown and HTML formats and the impact of Schema markup on AI search. Some specific feature details, the complete pricing tiers, and all supported platforms are not yet available in the materials.