- What GoSearch Does Well
- Where GoSearch Falls Short
- Lumnic vs. GoSearch: A Direct Comparison
- The Stack Coverage Question
- Who Should Consider Lumnic Over GoSearch
- A Note on Where the Category Is Heading
- FAQs
GoSearch is a capable enterprise search tool. At $20 per user per month on its Pro plan, it's accessible, connects to a reasonable range of tools, and does what it promises: helps your team find things faster.
But if you're evaluating GoSearch and something feels like it's missing, you're probably onto something real. Search is a starting point, not a destination. The question most teams are actually asking isn't just "where is that document?" It's "what should we do about this?" That's a fundamentally different problem — and it needs a fundamentally different tool.
This article breaks down where GoSearch falls short for teams that need more than retrieval, and why Lumnic is worth a serious look if agents and collaborative querying are on your requirements list.
What GoSearch Does Well
GoSearch leads with unified search. It connects to tools like Google Workspace, Slack, and Confluence and pulls results from across those sources into a single interface. For teams drowning in tab-switching and tool fragmentation, that alone is genuinely useful.
The $20/user/month Pro pricing is transparent and predictable, which makes procurement straightforward. For organizations whose primary need is faster document retrieval, GoSearch often does the job.
If your team's core pain is "we can't find anything," GoSearch is a reasonable answer. The problem is that most enterprise teams have a bigger pain than that.
Where GoSearch Falls Short
Agents Are an Afterthought
GoSearch's architecture is built around search. Agents exist in the product, but they're a secondary capability layered on top of a search-first foundation — and that distinction matters more than it sounds.
When agents are a bolt-on, they tend to be narrow, pre-defined, and hard to extend. They handle simple, templated tasks well enough. They struggle when you need something that can reason across your Jira backlog, your Confluence documentation, your Slack threads, and your GitHub issues simultaneously to produce a coherent recommendation.
Lumnic treats agents as a first-class capability. They're not an add-on to the search layer — they're built into the unified knowledge layer from the start, which means they can act on the full context of your organization's data, not just a subset of indexed documents.
No Collaborative Querying
One of the most overlooked gaps in enterprise AI search is what happens after someone finds an answer. In most tools, including GoSearch, that answer stays with the person who asked. There's no way to share a query, build on a colleague's analysis, or turn a natural language question into a team-level knowledge artifact.
Lumnic supports shared queries. Your team can save, share, and build on each other's work directly inside the platform. For engineering teams running incident retrospectives, legal teams tracking policy changes, or ops teams monitoring cross-functional projects, this collaborative layer is what turns search into institutional knowledge.
No competitor in this category clearly owns this positioning. It's an open lane, and Lumnic is building into it deliberately.
Data Privacy Has No Dedicated Solution
GoSearch doesn't offer a dedicated private deployment option for teams with strict data governance requirements. If your organization operates under GDPR, SOC 2, or internal policies that prohibit data leaving your environment, that's a hard blocker.
Lumnic's data privacy add-on keeps all data fully internal — nothing passes to third-party AI models. The platform runs on AWS with encryption, access controls, PII scrubbing, and regular audits built in. For legal, financial services, and enterprise SaaS teams with compliance obligations, this isn't a nice-to-have. It's a requirement.
Lumnic vs. GoSearch: A Direct Comparison
| Capability | GoSearch | Lumnic |
|---|---|---|
| Unified search across tools | Yes | Yes |
| Natural language queries | Yes | Yes |
| Workflow agents | Secondary feature | First-class capability |
| Collaborative shared queries | No | Yes |
| Private deployment / data stays internal | No | Yes (add-on) |
| Google Workspace integration | Yes | Yes |
| Microsoft 365 integration | Yes | Yes |
| Jira + Confluence + Slack + GitHub | Partial | Full |
| Pricing model | $20/user/month (Pro) | Pay-as-you-go, no upfront commitment |
The Stack Coverage Question
GoSearch covers a solid range of integrations, but coverage depth matters as much as breadth. Lumnic connects to Google Workspace (Gmail, Drive, Docs, Sheets, Slides), Microsoft 365 (SharePoint, OneDrive, Outlook, Teams), Confluence, Jira, Slack, GitHub, and databases — the full mixed stack that most mid-to-large enterprises are actually running.
This matters especially for organizations running both Google Workspace and Microsoft 365, which is more common than vendors like to admit. If your engineering team lives in Jira and GitHub while leadership runs on Outlook and SharePoint, you need a tool that treats all of those as equal citizens in the knowledge layer. Lumnic does. GoSearch's coverage gets thinner at the edges of that mixed-stack reality.
Who Should Consider Lumnic Over GoSearch
Lumnic is the stronger fit if your team matches any of these:
- You run five or more SaaS tools and need agents that can reason across all of them, not just retrieve from them
- You have compliance requirements — GDPR, SOC 2, or internal policy — that require data to stay fully internal
- You want your team to share queries and build on each other's analysis, not search in isolation
- You're in a knowledge-intensive industry like legal, financial services, or professional services where reasoning matters as much as retrieval
- You need natural language queries that span GitHub, Jira, Confluence, Slack, and Google Workspace in a single question
If your primary need is basic document retrieval across a small, stable tool set with no compliance constraints, GoSearch may be sufficient. But most enterprise teams evaluating this category have moved past that baseline.
A Note on Where the Category Is Heading
"We have search" is table stakes now. The real differentiation sits in three areas: how well agents can act on unified context, whether teams can collaborate around AI-generated insights, and how the platform handles data governance at scale.
GoSearch is a solid search product. It's not trying to be an agent platform — and that's a legitimate product choice. But it means there's a real capability gap for teams whose requirements have grown beyond retrieval.
Lumnic is built for exactly that next layer.
FAQs
Is Lumnic a direct replacement for GoSearch?
Lumnic covers everything GoSearch does in terms of unified natural language search, and adds workflow agents as a first-class feature, collaborative shared queries, and a dedicated data privacy add-on. Whether it's a direct replacement depends on your specific requirements, but the capability overlap is substantial.
How does Lumnic's pricing compare to GoSearch's $20/user/month Pro plan?
Lumnic uses pay-as-you-go billing with no upfront commitment. Exact pricing isn't publicly listed, but the model is designed to remove procurement friction for mid-market buyers. You can get specifics by booking a demo at lumnic.io.
Does Lumnic work if we run both Google Workspace and Microsoft 365?
Yes. Lumnic connects to both ecosystems fully — Gmail, Drive, Docs, Sheets, and Slides on the Google side, and SharePoint, OneDrive, Outlook, and Teams on the Microsoft side. Mixed-stack organizations are exactly who Lumnic is built for.
What makes Lumnic's agents different from GoSearch's?
GoSearch adds agents as a secondary capability on top of its search layer. Lumnic builds agents into the unified knowledge layer from the start, which means they can reason across Jira, Confluence, Slack, GitHub, and your databases in a single workflow — not just run templated tasks on indexed documents.
Can Lumnic meet GDPR and SOC 2 compliance requirements?
Yes. Lumnic's data privacy add-on keeps all data fully internal with no data passing to third-party AI models. The platform includes encryption, access controls, PII scrubbing, and regular audits. This is a dedicated feature, not an informal assurance.
What does collaborative querying mean in practice?
Your team can save a natural language query, share it with colleagues, and build on each other's analysis directly in the platform. Instead of one person finding an answer and emailing it around, the query and its results become a shared artifact the whole team can refine and reference.
How long does it take to connect Lumnic to our existing tools?
Lumnic is designed to connect to your existing stack without a heavy IT lift. The exact timeline depends on how many integrations you're activating and your organization's access control setup. The demo at lumnic.io is the right place to walk through your specific environment.
If your team has outgrown search-only tools and needs agents that act on your full knowledge layer, the right next step is seeing what Lumnic actually does with your stack. Book a demo at lumnic.io to walk through it with your specific tools and use cases.
