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.

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AI Innovators: Vanessa Monsequeira

AI Transformation: Why Org Design, Change Leadership, and Business Strategy Matter

Vanessa Monsequeira, Founder & AI Transformation Consultant at Intelligence Wired, featured in the GoSearch AI Innovators series, discusses org design, change leadership, and speed to value in AI transformation.

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About this episode

AI INNOVATOR

Vanessa Monsequeira, Founder & AI Transformation Consultant at Intelligence Wired

Vanessa Monsequeira is Founder of Intelligence Wired, where she advises Series A–D companies and private equity portfolios on AI transformation and change leadership. She previously served as VP of People at Gorilla, a Series B energy tech scale-up, where she personally led the company's AI rollout.

In this edition of AI Innovators, we sat down with Vanessa Monsequeira, Founder of Intelligence Wired, to talk about why AI transformation is fundamentally an org design problem — not a technology one. Vanessa spent years leading an AI rollout as VP of People before building her own consulting practice around it. Her core argument: change leadership, not function, should determine who owns transformation, and it needs cross-functional buy-in before anyone starts experimenting.

Key Takeaways:

Org design, not tech rollout: AI transformation means redesigning processes, roles, and incentives around business strategy — not picking tools.
Change leadership over function: The right person to lead is whoever's strongest at change leadership, regardless of title.
Cross-functional from day one: Rollouts start with a small working group spanning IT, security, data, finance, and people — not a company-wide mandate to "go experiment."
No standalone AI strategy: AI isn't the starting point — it's an execution choice inside business and functional strategy.
Speed to value over productivity: Vanity metrics like time saved don't guarantee real outcomes. Speed to value does.

Read the full conversation with Vanessa Monsequeira to learn why AI transformation is an org design problem, not a tooling one. Subscribe to AI Innovators for monthly insights straight to your inbox.

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