Enterprise search is a bigger category than buyers expect. They open an evaluation looking for “enterprise search,” then find their real questions are about agents, copilots, permissions, and whether anyone will actually use it. Search hasn’t gone anywhere — it’s the layer everything else builds on. What’s changed is how much now rides on top. For a growing number of buyers, comparing AI agents for enterprise search is the evaluation; the search index is just the foundation they run on.
Across recent buyer conversations, a clear pattern emerges in how teams weigh the major options: Glean, Onyx, Microsoft Copilot, ChatGPT Enterprise, Claude-style copilots, and the AI built into Slack and other daily tools. These six come up most, though they’re part of a wider enterprise search software landscape. Four concerns surface in nearly every call. This is what the market is telling us right now.
Key Takeaways
- Permissions are a dealbreaker, not a feature. Buyers reject tools that index content without honoring source-system access controls.
- Cost is the biggest switching trigger. Buyers increasingly find established platforms expensive or oversized for their team.
- Search alone no longer wins. Buyers want conversation, agents, and workflows — not a separate tool they have to open and search.
- The category language is shifting. Prospects describe what they want as an “AI coworker,” not a search bar.
Comparing AI Agents for Enterprise Search: Where Each One Wins and Loses
The best AI agent software for enterprise search retrieves across your connected systems and then acts on what it finds — answering a question, summarizing a thread, or kicking off a workflow. A useful comparison weighs each option on how well it does that, not just how much it indexes. Here’s how buyers size up the main players.
| Tool | How Buyers See It | Where It Loses Ground |
|---|---|---|
| Glean | The default benchmark — mature and feature-deep | Expensive and oversized for smaller teams; still search-first |
| Onyx | An early-discovery contender | Fades once the enterprise questions get hard |
| Microsoft Copilot | High awareness in Microsoft-centric orgs | Mixed confidence; not a full search replacement |
| ChatGPT Enterprise | Strong brand and general AI credibility | Seen as consumer-first, weaker on enterprise fit |
| Claude-style copilots | The mental model buyers reach for | Shapes expectations more than it competes directly |
| Slack / embedded AI | Sets the “answers in the flow of work” bar | Limited as a standalone knowledge layer |
Glean: The Benchmark Buyers Measure Against — And Move Past
Glean is usually the first name that comes up. Most buyers treat it as the reference point for the entire category, and many credit it for genuine depth: multi-agent orchestration, control over the underlying language models, and document-loading behavior that sophisticated evaluators value.
Several buyers cooled on Glean once they saw it in action. The recurring critique: it still presents results like a search engine when buyers increasingly want a conversational, AI-native experience. One described the friction plainly — having to leave their normal workflow, go to Glean, and run a separate search felt like added work rather than embedded help.
Cost is the other consistent objection. Buyers describe Glean as expensive and, for smaller teams, oversized — built for organizations several times their headcount. At a 20-person firm, one buyer doubted they’d ever recoup the investment once implementation fees and rollout were factored in.
We covered this dynamic in depth in our breakdown of what buyers uncover in a Glean enterprise search evaluation, including pricing, implementation speed, and the permissions concerns that increasingly end evaluations early. For teams already shopping for a replacement, we also rank the leading Glean alternatives on deployment speed, pricing, and governance.
Onyx: A Discovery-Stage Name, Not a Finalist
Onyx shows up the way a lot of tools do early on — scoped out during broad market research, screened alongside a dozen others when buyers search terms like “AI enterprise search” and “assistants.” As conversations move toward enterprise readiness, security, and connector depth, Onyx tends to drop out of the serious shortlist. It enters the funnel but rarely defines the end state. We break down where the two diverge in our GoSearch vs. Onyx comparison.
Microsoft Copilot: Broad Adoption, Mixed Confidence
Copilot’s advantage is reach. In Microsoft-centric organizations, it’s already there — one healthcare buyer described a top-down push to get everyone using Copilot and building agents. That kind of distribution is hard to compete with.
Confidence is shakier. Buyers still ask whether a dedicated tool differs meaningfully from Copilot — a sign that it has become the default comparator for workplace AI, even when it isn’t a true enterprise search replacement. The follow-up questions point to where Copilot feels thin: cross-system search, connector depth, workflow automation, and how security holds up across the broader stack. Our GoSearch vs. Microsoft Copilot breakdown digs into where each fits.
ChatGPT Enterprise: Brand Awareness Outpaces Enterprise Fit
Nearly every buyer knows ChatGPT and has used it — and that credibility carries weight. But several drew a sharp line between a tool that began as a consumer product with connectors bolted on and one purpose-built for enterprise search across a fragmented stack. ChatGPT Enterprise wins on awareness and general AI horsepower; it loses ground once buyers dig into connectors, rollout speed, and how it handles enterprise data at scale. See how the two compare in our GoSearch vs. ChatGPT analysis.
The “AI Coworker” Shift: How Buyers Now Describe What They Want
The most important pattern isn’t about any single competitor — it’s about how buyers talk about it. Buyers have started describing the category in terms of coworkers, teammates, and agents. One asked directly whether the product was “a Claude coworker kind of thing.” That framing matters: it shows buyers no longer picture a search box. They picture something that works alongside them. For teams weighing that comparison directly, we cover it in the best Claude enterprise alternative.
The same instinct shows up around embedded AI. Whether or not they name Slack AI, buyers expect answers to surface inside the tools they already use — Slack, docs, sheets — not in a separate app. Workflow continuity is now a selection criterion. We compare the two approaches in GoSearch vs. Slack AI.
What This Means for Buyers Evaluating the Field
Four takeaways stand out across these conversations:
- Lead your evaluation with permissions. Ask how each tool inherits and enforces source-system access controls. Indexing that ignores native permissioning is a governance risk from day one.
- Model total cost against your actual size. Headline capability matters less than whether the pricing and rollout make sense for your team and your timeline.
- Weigh experience, not just retrieval. A tool that answers conversationally, in the flow of work, will see adoption a search-first interface won’t.
- Pressure-test enterprise readiness early. Connector depth, implementation lift, and IT burden separate the finalists from the discovery-stage names.
Where GoSearch Fits
The questions buyers keep asking — Will it respect permissions without extra work? Will it deploy fast? Will people actually use it? Will it justify the cost? — are exactly what GoSearch was built to answer.
GoSearch combines real-time, permission-aware retrieval with AI chat and agentic workflows, so answers surface in the flow of work instead of behind a separate search destination. Because it retrieves in real time rather than deep-indexing everything, personal and sensitive data stays governed by its source — and the cost structure scales to teams that aren’t buying enterprise-only pricing.
Comparing your options? Try GoSearch free — connect your stack and get permission-aware answers in the flow of work, without the long rollout.
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Comparing AI Agents for Enterprise Search: FAQ
There’s no single winner — the right fit depends on your priorities. Glean leads on market recognition, Microsoft Copilot on native reach inside Microsoft environments, ChatGPT Enterprise on general AI horsepower, and GoSearch on permission-aware retrieval delivered in the flow of work. Weigh each against permissions, cost, connector depth, and adoption.
Buyers consistently prioritize: permission integrity across sources, total cost against your team size, the in-workflow experience versus a separate search destination, and connector depth and implementation lift. Capability alone is rarely the deciding factor.
Enterprise search retrieves documents and results across connected systems. An AI workplace assistant goes further — answering conversationally, taking action through agents and workflows, and working inside the tools you already use. Buyers increasingly expect both in one platform.
Glean is widely treated as the category benchmark and is credited with strong feature depth. Whether it’s the best fit depends on team size and budget — many buyers find it expensive or oversized for smaller organizations and look for alternatives with more predictable pricing.
Copilot and ChatGPT Enterprise are broad AI tools. GoSearch is purpose-built for enterprise search and knowledge work — with permission-aware retrieval across systems, deep connector coverage, and agents that act on results, rather than a general assistant adapted to the task.
