GoSearch vs. Gemini Enterprise GoSearch vs. Gemini Enterprise
Your company knowledge extends beyond Google. Your AI should too. GoSearch gives teams broader search, model choice, and accessible automation across your tech stack, making it the leading Gemini Enterprise alternative.
What GoSearch does that Gemini can't
GoSearch
100+ connectors; federated, indexed, and MCP
Multi-LLM flexibility with Zero Data Retention
No-code agents, no engineering required
Automate multi-step, cross-app workflows
Free plan and transparent pricing
Gemini Enterprise
Limited connectors; data freshness varies
Chat and agents limited to Gemini models
Agents require developer tools
Cross-app workflows require configuration
Usage fees apply beyond included quotas
Real results from GoSearch customers
47%
efficiency gain
80%
adoption in 3 months
< 3
months to ROI
Gemini ties enterprise AI to Google's ecosystem.
GoSearch connects your stack to every leading model.
Enterprise search
GoSearch
GoSearch searches across 100+ workplace apps, using the right retrieval method for each source. Flexible architecture surfaces fresh, permission-aware information across your tech stack.
Gemini Enterprise relies on a mix of indexed and federated connectors. Coverage depends on the source, and many systems require additional configuration or custom development.
AI chat assistant
GoSearch
GoSearch brings OpenAI, Anthropic, Gemini, and Grok into one enterprise chat, grounded in your company knowledge. Teams can use the model best suited to each task for every interaction.
Gemini Enterprise puts Google's models at the center of the employee chat experience. Users can't choose from other leading providers within Gemini Enterprise chat.
Agents
GoSearch
GoSearch lets any team build no-code agents grounded in company knowledge. Agents can search live systems, use MCP tools to take action, and work directly in GoSearch, Slack, or Microsoft Teams.
Gemini Enterprise keeps teams within Google's agent ecosystem. Building more advanced agents can require separate development tools, technical expertise, or additional Google products.
Workflows
GoSearch
GoSearch turns agents into scheduled, multi-step workflows with a visual no-code builder. Teams can combine company data, AI reasoning, web research, and app actions in one workflow.
Gemini Enterprise splits workflow automation across agents, connectors, and developer tools. Complex workflows can require custom development, and available actions vary by connector.
Enterprise search
GoSearch
GoSearch searches across 100+ workplace apps, using the right retrieval method for each source. Flexible architecture surfaces fresh, permission-aware information across your tech stack.
Gemini Enterprise relies on a mix of indexed and federated connectors. Coverage depends on the source, and many systems require additional configuration or custom development.
AI chat assistant
GoSearch
GoSearch brings OpenAI, Anthropic, Gemini, and Grok into one enterprise chat, grounded in your company knowledge. Teams can use the model best suited to each task for every interaction.
Gemini Enterprise puts Google's models at the center of the employee chat experience. Users can't choose from other leading providers within Gemini Enterprise chat.
Agents
GoSearch
GoSearch lets any team build no-code agents grounded in company knowledge. Agents can search live systems, use MCP tools to take action, and work directly in GoSearch, Slack, or Microsoft Teams.
Gemini Enterprise keeps teams within Google's agent ecosystem. Building more advanced agents can require separate development tools, technical expertise, or additional Google products.
Workflows
GoSearch
GoSearch turns agents into scheduled, multi-step workflows with a visual no-code builder. Teams can combine company data, AI reasoning, web research, and app actions in one workflow.
Gemini Enterprise splits workflow automation across agents, connectors, and developer tools. Complex workflows can require custom development, and available actions vary by connector.
GoSearch vs. Gemini Enterprise
Frequently asked questions
Yes. GoSearch combines enterprise search, multi-model AI chat, no-code agents, and automated workflows without tying your AI strategy to Google. It connects to 100+ apps through indexed, federated, and MCP integrations, making it a strong fit for companies with data spread across multiple clouds and workplace tools.
GoSearch lets teams switch between models from OpenAI, Anthropic, Google, and xAI based on the task. Gemini Enterprise's employee chat uses Google's Gemini models, so teams cannot choose competing models within the same chat experience.
GoSearch uses indexed, federated, and MCP connectors, allowing each source to use the retrieval method that best fits its data and security requirements. Gemini Enterprise also supports indexing, federation, and custom MCP, but connector capabilities and release status vary, with some sources and actions still in preview.
GoSearch lets employees build no-code agents and orchestrate them in multi-step workflows across connected apps. Gemini Enterprise includes a no-code Agent Designer, but advanced coded agents rely on the separately purchased Gemini Enterprise Agent Platform, an additional Google Cloud product with consumption-based billing.
GoSearch includes advanced models, no-code agents, and workflows across its Free, Pro, and Enterprise plans. With Gemini Enterprise, advanced agents are an add-on, while many connectors, agent capabilities, and workflows require developer resources and additional Google products.