The GoSearch Blog
Expert insights on enterprise AI, search, agents, and workflow automation.
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Best Gemini Enterprise Alternatives: Why More Teams Are Choosing GoSearch
Discover why GoSearch outperforms other Gemini Enterprise alternatives. Get 2x the connectors, full read/write access, multi-LLM support, and zero GCP lock-in.
AI Agents vs. Workflows: What’s the Difference & How GoSearch Uses Both
AI agents vs. workflows: what's the difference, when to use each, and how GoSearch combines both for enterprise automation.
Inside the MCP Matrix: Why Your Enterprise Search Strategy Needs Real-Time MCP Connectors
Real-time MCP connectors are replacing indexing in enterprise search. See why—and what building this yourself vs. buying actually costs.
The 4 Types of Search Engines — and How to Choose the Right One
There are 4 types of search engines: web, site, enterprise, and application-specific. Learn how each works and which is right for you.
GoSearch Brings Real-Time Enterprise Search to ChatGPT
GoSearch is now available in the ChatGPT App Store, bringing real-time enterprise search into ChatGPT. Search and synthesize knowledge across 100+ apps.
Glean Pricing Explained — And Why Buyers Want More Transparency
Glean doesn't publish pricing — but buyer-reported data reveals what enterprise deployments actually cost. See the full breakdown.
Build vs. Buy Enterprise Search: The DIY Cost Most Teams Underestimate by 50%
The build vs. buy enterprise search decision hinges on total cost of ownership — and most teams underestimate it by 50% or more.
What Is Retrieval-Augmented Generation (RAG)? How Enterprise RAG Search Works in 2026
Retrieval-Augmented Generation (RAG) combines search and generative AI to deliver accurate, grounded answers from enterprise knowledge. Learn how RAG works, its architecture, benefits, use cases, and how modern enterprise search platforms extend traditional RAG systems.
The Context Tax: What’s Really Behind the AI Productivity Paradox
The AI productivity paradox has a name: the context tax. Here's what's really driving the gap between AI adoption and impact.
