GoSearch Analytics

GoSearch Analytics combines enterprise-wide search with AI chat, custom agents and no-code workflows for organizations whose information is spread across many workplace apps. It is strongest for knowledge workers and administrators who need both retrieval and automation while retaining control over connectors, permissions and deployment. The main trade-off is clear: the free tier is suitable for light evaluation, while serious usage and advanced governance require paid plans.

Overview

GoSearch acts as a knowledge layer over connected applications instead of requiring a new central repository. Semantic search uses context, intent and relationships to locate resources and answers, which suits teams dealing with fragmented information across multiple hubs. Its value depends on whether the services a company relies on can be connected and governed as required.

The product is aimed at enterprises and knowledge workers. It supports deployment in a customer's own cloud, and customers can use their own large-language-model provider and API key. That flexibility will matter to organizations with infrastructure or model-control requirements, but it also makes GoSearch a more deliberate platform choice than a simple consumer search tool.

Key features

AI chat can answer questions, summarize insights, analyze data and generate files from company knowledge. Users can create role-specific agents with custom instructions, knowledge, tools and skills. These functions extend GoSearch beyond finding documents, although they will deliver the most benefit to teams prepared to define, maintain and review specialized assistants.

A visual drag-and-drop builder and natural-language prompting support multi-step workflows across apps without code. GoSearch says it connects to more than 100 apps through native, MCP and custom connectors, including Slack, Google Drive, Jira, Notion and Salesforce. Indexed synchronization creates a searchable index; federated connectors fetch current information without copying source data to GoSearch's servers; MCP connectors provide another integration route.

Governance is unusually prominent. GoSearch says it preserves source permissions, provides indexing controls, lets administrators hide or verify content and flags personally identifiable information for review. It also states that queries and data are not stored or used to train AI models, and that the service is SOC 2 Type II certified and compliant with GDPR, CCPA and HIPAA. Those assurances make the platform more plausible for regulated environments, subject to an organization's own assessment.

Zero-result reporting can reveal searches that return nothing, giving administrators a practical way to identify missing content or connector coverage.

Pricing

Free is billed per user/month, with no price listed. It includes basic private connectors, 10 searches per day, three GoAI queries per day, one 5 MB file upload, standard LLMs, basic agents and one AI task. Slack and Teams integrations, the browser extension and Google SSO are included. These caps make Free useful for a small pilot or occasional lookup, not for a busy team or sustained workflow automation.

Pro costs $20 a month, billed user/month. It includes everything in Free, all private connectors, unlimited searches and GoAI conversations, unlimited private agents, unlimited AI answers and summaries, advanced LLMs, workflows and tasks, unlimited file uploads with an 80 MB limit per file, and role-based access control. This is the practical starting point for teams that expect regular use and need to build automations rather than merely test search.

Enterprise has custom pricing and includes everything in Pro, plus shared and private connectors, configurable LLMs, file verification and deprecation, the GoSearch API, SSO, SAML and SCIM, advanced permissions, an audit log, and bring-your-own LLM and cloud options. It is the appropriate tier for larger deployments with identity, lifecycle and infrastructure requirements. Enterprise trials or proofs of concept are handled case by case, with demos through sales.

Platforms

GoSearch is offered through an API, browser extension and web application. That combination supports both direct employee use and integration into internal systems.

Who it's for

Choose GoSearch when employees work across numerous knowledge hubs and the organization wants search, AI assistance and cross-application workflows in one layer. Pro fits teams that have outgrown daily query and upload caps. Enterprise is the better match for regulated or larger organizations needing auditability, provisioning, shared connectors or customer-controlled cloud and models. It is less suitable for a simple standalone search need or for users who will not invest in governing agents and workflows.

Pros and cons

• Pros: Search, chat, agents and no-code workflows share one knowledge layer, reducing the need to assemble separate tools.
• Pros: More than 100 app connections and indexed, federated and MCP connector modes accommodate varied data-access strategies.
• Pros: Source-permission preservation, PII flagging, compliance claims and customer-cloud deployment address enterprise oversight.
• Cons: Free permits only 10 searches and three GoAI queries daily, one 5 MB upload and one AI task, so evaluation is constrained.
• Cons: Advanced permissions, audit logs, API access and identity provisioning are reserved for custom-priced Enterprise.
• Cons: The platform's breadth creates an ongoing need to design and maintain agents, connectors and workflows.

Alternatives

AI Enterprise Search Software is the broader category to compare when you want to survey similar enterprise search products. Search Analytics Software is a better comparison point when search measurement is the primary requirement.

Korra is worth considering if you need broad desktop and mobile platform coverage, including self-hosting, and a free tier capped at 100 MB. Fess suits buyers seeking a free, Apache-licensed option with self-hosted and major desktop/server platforms. Viglet Turing ES is another free, Apache 2.0 self-hosted choice.

Elastic Search AI fits organizations wanting the full self-managed Elastic Stack and a free trial, with serverless usage-based pricing also offered. OpenSearch is the straightforward free, Apache 2.0 option with no licensing fees. PipesHub is preferable when a forever-free, Docker-deployed community edition with BYO models and embeddings is the priority. Onyx offers a $20 a month annual-billing Business plan and 40-plus connectors. Guru is an alternative for organizations seeking a custom-investment enterprise knowledge solution.

Verdict

GoSearch is a strong choice for enterprises that need connected-app search to lead into governed AI agents and no-code workflows, especially when customer-controlled cloud or models matter. Pro removes the free tier's severe usage limits at a clear $20 per user/month. Look elsewhere if you want an entirely free self-hosted search stack, or if Enterprise-only governance and deployment controls exceed your needs or budget.