GoSearch vs. Guru GoSearch vs. Guru
GoSearch is the best Guru alternative for teams that want live search with no curation required, the ability to switch LLMs for every query, and true automation across apps, not just a curated card library.
What GoSearch does that Guru can't
GoSearch
Live knowledge layer; 100+ apps, no curation
Multi-LLM flexibility with Zero Data Retention
No-code agents grounded in work knowledge
Workflow automation for agents and apps
MCP built for live action across your stack
Guru
Relies on curated, verified knowledge cards
No ability to switch LLMs
Limited agents with capped sources
"Workflows" for content review, not automation
MCP limited to a single Slack integration
Real results from GoSearch customers
47%
efficiency gain
80%
adoption in 3 months
< 3
months to ROI
Guru needs a curated card for every answer.
GoSearch is a live knowledge layer with true automation.
Enterprise search
GoSearch
GoSearch is a live knowledge layer, connecting to 100+ apps and retrieving answers straight from the current state of each system, no curation or maintenance required.
Guru's search model centers on curated, verified "cards." Your team has to write, review, and keep this content from going stale through versioning and scheduled publish and archive cycles.
AI chat assistant
GoSearch
GoSearch lets any employee switch models for every query, choosing whichever one fits best for speed, accuracy, or cost, with answers shaped by their role across the full connected stack.
Guru doesn't have this capability. Its chat delivers cited answers grounded primarily in its verified card library, with no way to choose or switch models at the chat level.
Agents
GoSearch
GoSearch agents draw from all 100+ connected apps by default, with no cap on how many systems a single agent can reach or how much context it can pull in to complete a task.
Guru's Knowledge Agents are limited to web search plus up to 10 connected sources per agent, a hard ceiling on how much of a company's stack any one agent can draw from.
Workflows
GoSearch
GoSearch workflows automate processes end to end, chaining multiple specialized agents and apps together, so a request can move through several steps and systems without a manual handoff.
Guru's "workflows" refer to content governance: verifying cards, versioning them, and scheduling when they publish or expire. It isn't built to automate a process or coordinate agents across systems.
Enterprise search
GoSearch
GoSearch is a live knowledge layer, connecting to 100+ apps and retrieving answers straight from the current state of each system, no curation or maintenance required.
Guru's search model centers on curated, verified "cards." Your team has to write, review, and keep this content from going stale through versioning and scheduled publish and archive cycles.
AI chat assistant
GoSearch
GoSearch lets any employee switch models for every query, choosing whichever one fits best for speed, accuracy, or cost, with answers shaped by their role across the full connected stack.
Guru doesn't have this capability. Its chat delivers cited answers grounded primarily in its verified card library, with no way to choose or switch models at the chat level.
Agents
GoSearch
GoSearch agents draw from all 100+ connected apps by default, with no cap on how many systems a single agent can reach or how much context it can pull in to complete a task.
Guru's Knowledge Agents are limited to web search plus up to 10 connected sources per agent, a hard ceiling on how much of a company's stack any one agent can draw from.
Workflows
GoSearch
GoSearch workflows automate processes end to end, chaining multiple specialized agents and apps together, so a request can move through several steps and systems without a manual handoff.
Guru's "workflows" refer to content governance: verifying cards, versioning them, and scheduling when they publish or expire. It isn't built to automate a process or coordinate agents across systems.
GoSearch vs. Guru
Frequently asked questions
Guru's search model relies on curated content: someone writes a card, an expert verifies it, and it gets versioned and scheduled for review so it doesn't go stale. That keeps answers accurate, but it also means the knowledge base is only as current as its last review cycle. GoSearch is a live knowledge layer, retrieving straight from source systems with no separate content layer to curate.
Yes, particularly for teams that want AI search and agents grounded in live data across their whole stack, without maintaining a separate curated knowledge base. GoSearch connects to 100+ apps as a live knowledge layer, lets teams switch AI models for every query, and automates processes across apps with no code, while Guru's deepest capabilities depend on how well-maintained its card library is.
No. GoSearch retrieves answers directly from your connected systems as they exist right now, with no curation required. Guru's model depends on ongoing card-writing and review to stay reliable.
Guru's Knowledge Agents can draw from web search plus up to 10 connected sources each, so reaching more of a company's stack means running multiple agents. GoSearch agents draw from all 100+ connected apps by default, with no cap on how many systems a single agent can access.
No. Guru's workflows govern its knowledge content: verifying cards, versioning them, and scheduling publish or archive dates. GoSearch workflows chain multiple specialized agents and apps together to move a task across several steps in one automated run.