GoSearch is an AI-driven enterprise search platform that unifies company knowledge across apps, providing real-time answers, summaries, and actionable insights using agentic AI.

Who is GoSearch designed for?

GoSearch serves both individuals and enterprise teams, including Engineering, IT, HR, Product, Marketing, Sales, GTM teams, and more, helping them discover insights, automate workflows, and make data-driven decisions.

What are GoSearch AI Agents?

AI Agents are no-code workflows that automate tasks and provide answers across connected tools and data sources, helping teams work faster and smarter.

How quickly can I start using GoSearch?

Teams and individuals can deploy GoSearch in hours to days, depending on the number of connected data sources and users.

What is GoSearch Free and who is it for?

GoSearch Free is a forever-free plan that connects personal apps (Gmail, Drive, Slack, Teams, etc.) for unified search across emails, docs, chats, and calendar. Ideal for individuals and small teams.

What is the difference between GoSearch Free and paid/enterprise plans?

Paid plans unlock broader integrations, team support, governance controls, and enhanced AI capabilities, while the free plan focuses on personal or small-scale use.

How does GoSearch pricing scale with users or data volume?

Enterprise pricing is typically usage-based or per-seat, scaling with the number of users, connected apps, and data volume.

Which data sources can GoSearch connect to?

GoSearch integrates with 100+ apps, including Slack, Gmail, Google Drive, Notion, Jira, Salesforce, and more.

Can GoSearch handle unstructured data like chats, tickets, and attachments?

Yes. Using AI-driven semantic search, GoSearch can interpret unstructured content to surface relevant results.

Can I add custom or internal data sources?

Yes. GoSearch supports custom connectors and integrations for enterprise systems, databases, and private repositories.

How quickly can new data sources be onboarded?

Many connectors can be added in hours, with minimal configuration, depending on access permissions.

What is federated search versus indexed enterprise search?

Federated search queries multiple live data sources directly; indexed search builds a consolidated searchable index.

What is a hybrid search architecture?

A hybrid approach indexes safe/static data while federating sensitive or real-time data, balancing speed, freshness, and governance.

When should I use federated, indexed, or hybrid search?

Federated: highly sensitive or dynamic data. Indexed: static, shared data needing fast results. Hybrid: most enterprise use cases.

What is Retrieval Augmented Generation (RAG)?

RAG combines retrieval of relevant documents with generative AI to produce coherent, summarized, context-aware answers.

Can RAG work with sensitive or regulated data?

Yes. In federated or hybrid models, RAG retrieves real-time data without duplicating it, maintaining privacy and compliance.

What AI models does GoSearch support?

GoSearch allows users to select from multiple large language models (LLMs) and customize AI workflows.

What are no-code AI Agents?

No-code Agents automate workflows, summarize data, or generate answers across apps without coding expertise.

Does GoSearch support summarization and insights extraction?

Yes. GoSearch can summarize documents, conversations, and tickets, and generate actionable insights for teams.

How does GoSearch handle security?

GoSearch supports role-based access, encryption, SSO/SAML, BYOC deployments, and zero-copy search to prevent data duplication.

How is user permission enforced?

Search results only show content the user is authorized to access. Permission checks are applied in real-time.

Does GoSearch comply with privacy regulations?

GoSearch is designed to meet enterprise compliance requirements, including GDPR, HIPAA, and other data governance standards.

Can GoSearch be deployed in a private cloud or VPC?

Yes. GoSearch supports enterprise deployment options for enhanced data control and compliance.

What makes GoSearch different from Glean or other enterprise search tools?

GoSearch offers lower TCO, hybrid search architecture, flexible AI workflows, real-time retrieval, broader integrations, and faster deployment.

Which other platforms are commonly evaluated as alternatives?

Common alternatives include Glean, Coveo, Lucidworks, Elastic Enterprise Search, Algolia, and Unleash.

Why might teams switch from Glean to GoSearch?

Teams often switch for lower cost, faster deployment, more AI customization, broader integrations, and stronger governance.

How does GoSearch compare to Unleash?

GoSearch offers self-serve AI agents, zero-copy real-time search, broader connectors, and transparent pricing, whereas Unleash often requires sales contact and indexed data.

Does GoSearch provide usage analytics?

Yes. Teams can see search trends, content gaps, and usage statistics to improve knowledge management.

Can GoSearch track which documents or sources are most accessed?

Yes. This helps identify valuable knowledge assets and optimize content strategy.

Can GoSearch search large attachments or multimedia files?

Yes, GoSearch can parse PDFs and text-based attachments, and videos. It can also search by image.

What are common trade-offs between federated vs indexed search?

Federated search is real-time and privacy-safe but can have latency. Indexed search is faster but may duplicate sensitive data. Hybrid often balances both.

Are there any limits on the number of connected apps or users?

Limits depend on the plan: Free accounts have personal usage limits; enterprise plans scale to hundreds or thousands of users.

Integrations PostHog

GoSearch integration for PostHog

Connect PostHog to GoSearch to enable real-time access through an MCP Server for GoAI, Agents, and Workflows.

MCP server

Overview

GoSearch makes it easy to use PostHog product intelligence in GoAI experiences. With the PostHog MCP Server integration, teams can securely access product analytics and experimentation context in real time without indexing data into standard GoSearch search results.

Use GoAI, Agents, and Workflows to pull relevant PostHog context for summaries, analysis, and automation across product, growth, and operations workflows.

Data integration options

MCP Server

Managed by PostHog

PostHog data integration is available through the PostHog MCP Server, which provides secure permission-aware access to product analytics and experimentation data in real time. Teams can use it from GoSearch to query analytics, review experiment results, reference feature flag status, and answer questions grounded in product usage data.

MCP servers are supported in GoAI, Agents, and Workflows, enabling real-time actions and automation. They are not available in standard search results.

For a complete list of supported tools and capabilities, view the documentation.

MCP documentation

Features

Access PostHog analytics and experimentation context in real time through an MCP Server
Use GoAI to analyze usage trends, experiments, and feature flag status
Enable Agents and Workflows to incorporate product data into downstream tasks
Keep analytics access secure with permission-aware retrieval through the PostHog MCP Server

Benefits

Get up-to-date product intelligence without waiting for indexing or syncs
Improve decision-making with direct access to trusted analytics and experimentation context
Reduce context switching between GoSearch and PostHog during analysis workflows
Automate repeatable analytics-informed workflows with GoAI, Agents, and Workflows