Enterprise Search That Fits Companies of Every Size

The enterprise search market has a size problem — and it’s not the one you’d expect.

The problem isn’t that AI-powered search is too complex for smaller teams. It’s that most of the category’s leading tools were built for large enterprises — first, last, and only. For small and mid-sized companies, the result is the same: priced out before the conversation starts, or stuck forcing a platform built for a 2,000-person org to fit.

The knowledge fragmentation problem doesn’t wait until you hit 1,000 employees. It shows up the moment your team has more than a handful of tools. A 50-person company whose sales team can’t find last quarter’s call transcripts, whose engineers spend afternoons triangulating context across Jira and Slack, and whose new hires take weeks to locate the documents they need has the same problem a 5,000-person company has — only the price tag changes. It’s not an enterprise problem. It’s a work problem.

Information Scattered Everywhere Has No Minimum Headcount

The numbers on knowledge worker productivity bear this out.

McKinsey estimates that employees spend about 9.3 hours a week searching for and gathering information. Asana’s research points the same direction: knowledge workers spend roughly 60% of their time on “work about work” — searching, switching apps, tracking down decisions — leaving about 40% for the skilled work they were hired to do.

None of those numbers come with a headcount attached. A 75-person startup whose engineers hop across Slack, Notion, Jira, and GitHub to trace one bug hits the same friction as an enterprise. Tools multiply faster than headcount: a KM World survey found 54% of organizations already use more than five platforms to document and share information.

GoSearch was built for this — whether you’re 50 people or 5,000. No 200-person minimum, no multi-quarter implementation, no dedicated FTE just to keep it running. Knowledge fragmentation is a day-one problem. The solution should be too.

Most AI Enterprise Search Tools Weren’t Built to Fit Every Size

Most enterprise search tools were built on one assumption: design for the largest organizations and let everyone else adapt. Here’s how the major options break down by company size — for the full landscape, see our complete guide to enterprise search software.

Glean

A credible, well-regarded product that earns its way onto most enterprise shortlists — but its fit narrows sharply as company size drops.

• SMB: Not a fit. The 100-seat minimum, $10,000 implementation fee, and infrastructure overhead assume a scale small teams don’t have.
• Mid-market: Cost-prohibitive. G2 and Gartner reviewers call it “overkill” for companies with fewer than 200 employees, and implementations can run weeks to months, often requiring a dedicated FTE that pushes total cost of ownership well past the sticker price. See the full GoSearch vs. Glean comparison.
• Enterprise: Strong. For large, index-heavy environments and orgs with tens of thousands of employees, Glean’s depth and tuning scale accordingly.

Microsoft 365 Copilot

Copilot searches only what lives inside the Microsoft stack — Salesforce, Gong, Jira, and Notion stay out of reach. The upside is cost: if you’re already all-in on Microsoft, the pricing is hard to beat.

• SMB: Workable if Microsoft is your only stack.
• Mid-market: Most teams run mixed stacks, so coverage gaps show up here.
• Enterprise: The same gaps remain; more systems don’t change the ecosystem limit.

Slack AI

Adoption is nearly effortless since it lives where employees already work, and can search beyond Slack into connected tools. The catch is depth: it surfaces information but doesn’t act on it — no executing workflows or triggering tasks in connected apps — and turning it on usually means upgrading your entire Slack plan, not flipping a feature toggle.

• SMB: Easy to adopt if Slack is your hub, and search reaches connected tools.
• Mid-market: Fine for finding information, but it stops at search — no resolving tickets, updating records, or running workflows in the apps it reaches.
• Enterprise: The same ceiling holds, and unlocking it means moving your whole workspace to a higher Slack tier.

Elasticsearch / Open-Source

Powerful and flexible, but a tool rather than a product — connectors, relevance tuning, and semantic search all require sustained engineering.

• SMB: Not a fit — no engineering capacity to build and maintain it.
• Mid-market: Workable only with a dedicated platform team; otherwise build-vs-buy rarely pays off.
• Enterprise: Strong for engineering-led orgs with the capacity to run it.

Guru

Curates and verifies documented knowledge rather than searching across every system, surfacing answers in context through a browser extension.

• SMB: Good fit for teams that value verified answers over broad search.
• Mid-market: Usable, though limited — it’s built for knowledge management, not cross-app search.
• Enterprise: Solid if you mainly need knowledge management, but its strength is curating documented answers, not searching deeply across every connected system an enterprise runs on.

Coveo

A powerful AI search platform with strong relevance tuning and analytics, built for organizations with the resources to implement it properly.

• SMB: Not a fit — for a small team, implementation overhead outweighs the benefit.
• Mid-market: Complex and resource-heavy to deploy, so the value rarely materializes.
• Enterprise: Strong for complex, multi-surface search with the technical teams to run it.

GoSearch

Built to serve the full range — from fast-growing startups to established enterprises — without forcing teams to grow into the product. Pricing is transparent, deployment takes days rather than months, and the same cross-platform search works at any size.

• SMB: Strong fit on the Pro plan, which includes AI chat, agentic workflows, and unlimited custom agents by default — capabilities rivals gate behind enterprise tiers. Pricing stays predictable at a small-team scale.
• Mid-market: Connects across 100+ apps — Salesforce, Gong, Confluence, Jira, GitHub, Drive, Slack, Notion, and more — and goes live without a dedicated IT team.
• Enterprise: Scales predictably — the same architecture, pricing, and integration depth at every size. Hybrid indexing helps keep costs down as data grows: GoSearch indexes what needs fast retrieval and queries the rest in real time, so less data is duplicated into a managed index than with fully centralized indexing. No re-platforming as you grow, no add-on fees for features that should be standard, no dedicated team to keep it running.

“It connects to tools that I wouldn’t have connected to the cloud or other AI tools otherwise.”
— Fernanda S., Sr. Director of Strategy, Mid-Market

The Size-Fit Breakdown at a Glance

Vendor	SMB	Mid-Market	Enterprise	Pricing	Time to Value
Glean	❌	⚠️ “Overkill” below 200	✅ Esp. index-heavy orgs	Per-user + add-ons	Weeks to months
Coveo	❌	⚠️ Complex overhead	✅ Multi-surface search	Custom enterprise	Months
Microsoft 365 Copilot	⚠️ Microsoft-only	⚠️ Ecosystem-bound	⚠️ Ecosystem-bound	Bundled / per-user	Fast if all-in on MS
Slack AI	⚠️ Search only, no actions	⚠️ Search only, no actions	⚠️ Search only, no actions	Tied to Slack tier	Fast, but limited reach
Guru	✅ Knowledge mgmt	⚠️ KM, not cross-app search	⚠️ Curated KM, not deep search	Per-user	Fast
Elasticsearch	❌	⚠️ Needs platform team	✅ With build capacity	Open-source (high TCO)	Long
GoSearch	✅ Pro plan	✅ Full-stack, fast setup	✅ Scales predictably	Free, Pro, Enterprise	Days to weeks

When the Enterprise Search Shortlist Doesn’t Fit Your Budget

Glean makes almost every enterprise search shortlist — and gets cut from most mid-market deals. The pattern is consistent: teams run the demo, like the product, and then the pricing math stops working. Implementation fees, per-user costs that compound across teams, and infrastructure requirements that never surfaced in the sales process add up to a number that’s hard to justify. For a team that just needs search to work, hearing that pricing is “available upon request” after a string of discovery calls is itself a signal.

The problem usually isn’t the product. In enterprise search evaluations, prospects describe Glean as “kind of more than we were looking for” — capable, but bundled with overhead that doesn’t match how a smaller team operates. A platform built for large enterprises with dedicated IT shows it in the pricing, the rollout timeline, and the support model. Smaller teams don’t fail with these tools; the vendors built them for someone else.

GoSearch is built differently. Deployment takes days rather than quarters, with no dedicated FTE to manage ingestion and tuning. Pricing is published up front, and the capabilities other vendors reserve for their top tier are included from the start. It connects to the systems a mid-market team actually runs on.

If you’re running your own evaluation, the AI enterprise search guide breaks down what to weigh beyond the demo — total cost of ownership, integration coverage, and how fast a tool delivers value at your size.

Is GoSearch Right for Your Team?

GoSearch is likely the right fit if:

• Your knowledge lives in five or more tools, and your team keeps losing time hunting for information that’s definitely somewhere — a Slack thread, a Confluence page, a Salesforce record, a Gong call.
• You need time to value measured in days, not quarters. Most GoSearch deployments go live quickly, without requiring a dedicated technical resource to manage the rollout.
• You’re evaluating alternatives to bundled AI from Microsoft, Slack, or Salesforce, and you want to understand what cross-platform search actually looks like when it can reach every system your team uses.
• You’re building a team that will grow, and you don’t want to switch tools when you do. GoSearch works the same at 50 people as it does at 5,000 — no migration, no re-pricing, no lost integrations as you scale.
• You want AI search you can actually buy: transparent pricing, fast setup, and generative AI included from day one, not gated behind add-on fees for features other vendors treat as premium.

Enterprise Search Shouldn’t Have a Size Minimum

Most enterprise search tools were designed for large organizations and no one else. The pricing, the rollout timelines, the operational overhead — all of it assumes a dedicated IT team, a multi-quarter deployment, and a budget to match.

GoSearch was built on a different premise: knowledge fragmentation is a day-one problem for teams of every size, so the solution should be too. The question doesn’t change as you grow — where does your knowledge live, and how fast can your people find it?

See what enterprise search looks like when it’s built for your team. Book a demo →