Glean alternatives

Quick comparison

First, a fair word about Glean

Glean is the category leader for a reason. It offers search, an assistant and an agent builder over 275+ connectors with permissions-enforced access, supports 35+ LLMs, carries certifications including ISO 42001, SOC 2 Type II, HIPAA and TX-RAMP Level 2, and lists customers such as Booking.com, Zillow and Ericsson. Independent reporting puts it past $200M ARR on a permissions-aware knowledge graph.

Why do teams still look elsewhere? Pricing is sales-led with no public rate card, and third-party analyses estimate roughly $45–75 per user per month with around 100-seat minimums and add-ons. Smaller teams cannot buy in at those minimums, and some buyers want one specific job done well rather than a whole platform.

1. qbrin: for teams that need to trust the answer

qbrin is our product, so read this section knowing the source.

qbrin is enterprise AI search over email, files, Slack and tickets, built around a trust layer. Every answer must be grounded in citable sources and passes verification gates before you see it; when the evidence is missing, qbrin abstains rather than inventing something plausible. Per-user ACLs are enforced at retrieval time. In our own benchmark suites (qbrin only; we have never run a head-to-head against Glean or the tools below) we measured 0 false accepts across our trap-question suites, 211/211 fabricated-source citations caught in a 710-specimen multi-domain suite, and 88% recall@20 on retrieval.

The honest trade-off: we are a young product with a short deployment history and a focused connector set, not a 275-connector platform. Best fit: compliance, security, finance and support teams that act on answers without re-checking them.

2. Microsoft 365 Copilot: for Microsoft-centric organisations

If your documents, mail and chat already live in SharePoint, OneDrive, Outlook and Teams, Copilot is the path of least resistance: it works inside the apps your people already use and grounds on your Microsoft 365 tenant. Enterprise pricing is public at $30 per user per month as an add-on to a qualifying licence, with a lower-priced Business tier for organisations up to 300 users (reported at $18–21 per user per month as of mid-2026). The trade-off: coverage outside the Microsoft estate depends on Graph connectors and is not Copilot’s centre of gravity, so heavily multi-SaaS stacks (Slack, Jira, Zendesk) get less benefit. Best fit: organisations standardised on Microsoft 365 that want AI assistance where work already happens.

3. Coveo: for customer-facing relevance at enterprise scale

Coveo positions itself as an AI relevance platform spanning search, recommendations and personalisation across commerce, service, website and workplace use cases, with RAG-based generative answering. Its heritage is customer-facing: support portals, agent desktops and e-commerce search. Pricing is sales-led; third-party analyses describe licensing that starts high and climbs for deep integrations. The trade-off: a serious implementation project, with workplace search one use case among several rather than the core. Best fit: enterprises that need excellent customer-facing search and want workplace search from the same vendor.

4. Elastic (Elasticsearch): for teams that want to build their own

Elastic retired its turnkey option: App Search and Workplace Search are deprecated as of version 9.0, and Elastic now recommends building internal knowledge search directly on Elasticsearch and Kibana, with connectors self-managed. You get complete control: hybrid retrieval, your own permission model, your own UI. You pay in engineering time, because connectors, ACL mapping, answer generation and evaluation are all yours to build and maintain. Best fit: engineering-led organisations that treat internal search as a product they own.

5. Guru: for curated team knowledge, not full-index search

Guru is a knowledge management platform with AI search, automated verification workflows and integrations aimed at support and IT teams. Its model differs from Glean-style enterprise search: instead of indexing everything, teams curate cards and documents, and verification workflows prompt owners to keep content fresh. Self-serve pricing is public at $25 per user per month billed annually with a 10-seat minimum; an enterprise tier is sales-led. The trade-off: every reader needs a paid seat, and it will not answer from your email, tickets and long-tail files the way a full-index product does. Best fit: support and ops teams that want a maintained internal answer base at a modest price.

How to choose

Start from your failure mode, not the feature list. If the risk is employees acting on confident wrong answers, weight verification architecture (citations checked, abstention on missing evidence) over connector counts; qbrin is built for exactly that. If the risk is adoption, pick the tool inside the apps people already use (Copilot for Microsoft shops). If the risk is a stalled build, be realistic about engineering capacity before choosing Elastic. If budget is the constraint, note which vendors publish prices (Copilot, Guru, qbrin) and which require a sales cycle (Glean, Coveo).

FAQ

Why do companies look for Glean alternatives?

The most cited reasons in third-party buyer analyses are pricing opacity and minimums (no public rate card, estimates of $45–75 per user per month, roughly 100-seat minimums) and platform breadth exceeding actual need. Fit, not quality, drives most switches: Glean reviews are broadly positive.

What is the most affordable Glean alternative?

It depends on your stack and size. For Microsoft 365 organisations under 300 seats, Copilot Business is the budget path. For small curated knowledge bases, Guru starts at $25 per user per month with a 10-seat minimum. Enterprise platforms like Coveo are sales-led and priced accordingly.

Which alternative is best if AI hallucinations are the concern?

Compare architectures, not marketing claims. Ask each vendor: what happens when the answer is not in my data, and can you show measurements? qbrin’s trust layer is cited-or-abstain, and we publish the suites behind our numbers (0 false accepts on trap questions; 211/211 fabricated-source citations caught, both measured on qbrin alone).

Is there an open-source route?

The closest is building on Elasticsearch, which Elastic itself now recommends over its deprecated Workplace Search product. Expect to own connectors, permissions and answer quality yourself.

See the difference in one question

Pick a question you know your documents cannot answer. Most AI search tools will answer it anyway. qbrin will tell you the evidence is not there, and that is the point.

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