Coveo vs Gemini Notebook

Coveo is a cloud AI-Relevance Platform for search, recommendations, personalization, and discovery across commerce, service, website, and workplace experiences. Its hybrid search combines advanced rules, business logic, A/B testing, and query pipeline management. A unified index, native and universal connectors, document-level security, permissions, and refresh controls support indexed content. Behavioral features include query suggestions, Automatic Relevance Tuning, dynamic navigation, and content recommendations. Generative and agentic options include conversational search, generative answering, Answer API, Coveo for Agentforce, Passage Retrieval API, and Smart Snippets; the pricing page marks this suite as an add-on. Commerce capabilities cover catalog indexing, recommendations, listing optimization, merchandising, and conversational product discovery, with some add-ons. Integrations include Adobe, Salesforce, ServiceNow, Sitecore, Zendesk, SAP, Shopify, and OpenAI ChatGPT Enterprise, plus open APIs. Hosted data uses AES-256 at rest and TLS 1.3 in transit. Pricing is on request, and a trial organization lasts 14 days.

Gemini Notebook, formerly NotebookLM, is a standalone research tool for organizing sources and answering questions grounded in those materials. It accepts PDFs, websites, YouTube videos, audio files, Google Docs, Google Slides, and other content. Answers include citations that point to exact source quotes. Audio Overview turns notebook material into a podcast-style discussion, while study notebooks can produce quizzes, interactive lessons, flashcards, and infographics from course materials. Notebooks can sync with Gemini Apps, where users can manage them and ask questions. A secure cloud computer can write and run code for source-grounded data analysis, with availability rolling out by plan. The Free plan costs nothing and includes 50 sources per notebook, 100 notebooks, 50 chat queries per day, and three audio generations per day. Named Google AI Plus, Pro, and Ultra plans list 2 TB, 5 TB, and 20 TB of storage, respectively, but no prices are listed. Individual data is not used to train the tool unless users provide feedback, which may permit review of the full interaction context. Workspace and Enterprise privacy terms differ, and some features require Keep Activity enabled.