Glean Alternatives: 10 AI Enterprise Search Platforms Compared (2026)

The best Glean alternatives in 2026 are GoSearch, Guru, Notion AI, Slack AI, Onyx, Coveo, Elastic Enterprise Search, Lucidworks, Microsoft Copilot, and Algolia — ranked here on deployment speed, pricing transparency, LLM flexibility, and data governance. GoSearch is the strongest overall replacement for AI enterprise search: it deploys in days rather than weeks, supports configurable LLMs, and uses a hybrid architecture that indexes shared knowledge for speed while querying sensitive data in real time rather than duplicating it into a central index.

• GoSearch — Best overall; hybrid AI enterprise search, agentic workflows, flexible LLMs, enterprise governance
• Guru — Best for verified knowledge governance and curated internal wikis
• Notion AI — Best for organizations already living in Notion
• Slack AI — Best for organizations already living in Slack
• Onyx (formerly Danswer) — Best open-source option; self-hostable, strong RAG, developer-friendly
• Coveo — Best for ML-driven relevance in customer support and ecommerce
• Elastic Enterprise Search — Best for engineering-heavy teams needing infrastructure control
• Lucidworks — Best for organizations with mature ML pipelines and high customization needs
• Microsoft Copilot — Best for organizations committed to Microsoft 365
• Algolia — Best for fast, customer-facing product search

Glean Alternatives at a Glance

Tool	Best For	Avg. Deployment Time	AI-Native	Pricing Model
GoSearch	Modern enterprise AI search	Days	Yes — RAG, agents, multi-LLM	Free plan; Pro from $20/user/mo, no seat minimum
Guru	Verified knowledge governance	Days	Yes — knowledge agents, 100+ connectors	$25/seat/mo self-serve, 10-seat minimum; Enterprise sales-led
Notion AI	Notion-native teams	Hours–days	Yes — custom agents, enterprise connectors	Per-user add-on to existing Notion plan
Slack AI	Slack-native teams	Hours–days	Yes — conversational search, Slackbot AI	Requires Business+ or Enterprise+ tier
Onyx	Open-source, self-hosted RAG	3–7 days (self-host)	Yes — configurable LLMs	Free (OSS); cloud tier available
Glean	Traditional enterprise indexing	6–12 weeks	Partial — fixed LLM model	Custom quote; ~100-seat minimums, no published pricing
Coveo	Customer support & ecommerce	4–8 weeks	Partial — ML relevance	Enterprise contract; high entry cost
Elastic	Custom search infrastructure	4–8 weeks + engineering	No — requires engineering build-out	Usage-based plus significant engineering overhead
Lucidworks	ML pipeline–heavy orgs	8–16 weeks + PS	Partial — pipeline tuning	Enterprise; professional services typically required
Microsoft Copilot	Microsoft 365 environments	Days to enable in existing M365 tenants; weeks for governed rollout	Partial — within MS ecosystem only	~$30/user/mo (M365 Copilot add-on)
Algolia	Customer-facing product search	1–3 days	Limited — no enterprise AI workflows	Usage-based from ~$0.50/1K searches

Why Companies Look for Glean Alternatives

Organizations evaluating Glean competitors most often cite three structural concerns:

1. Security and compliance scope

Glean indexes and stores a centralized copy of enterprise data. For organizations in regulated industries, duplicating sensitive PII into a secondary index increases audit scope, expands the potential attack surface, and introduces compliance hurdles that hybrid and federated architectures avoid.

2. Total cost of ownership

Glean does not publish pricing, and enterprise contracts are custom-quoted. Buyers report renewal increases of 30–50% as usage scales — see our Glean pricing breakdown for the buyer-reported figures behind that. Glean also typically requires paid proof-of-concept engagements and enforces seat minimums around 100 users, which makes phased or incremental adoption difficult.

The index-heavy architecture also carries ongoing labor. Managing connectors, permissions, and index synchronization is commonly reported to require dedicated internal staffing — shifting enterprise search from a SaaS subscription into an operational program with infrastructure, maintenance, and personnel costs layered on top of licensing.

3. Data freshness and LLM rigidity

Because Glean relies on pre-processed indexes, full re-indexing cycles mean content can be hours or days stale. It also uses a fixed AI model approach, with limited ability to choose or switch between providers as the model landscape shifts. For AI-driven workflows, confidence in real-time context is what drives trust — and when users question data accuracy, adoption declines.

The 10 Best Glean Alternatives

1. GoSearch

GoSearch is an AI-powered enterprise search platform built on a hybrid architecture: it indexes shared company knowledge for retrieval speed while querying personal and sensitive data in real time through live connectors, rather than duplicating everything into one high-maintenance central index.

Where it stands out:

• Hybrid architecture — indexes what benefits from speed and federates what shouldn’t be copied, reducing compliance scope and avoiding the PII exposure that comes with indexing everything centrally
• Flexible LLM support — five or more model providers including OpenAI, Anthropic, and Mistral, switchable without re-implementation
• Fast deployment — customers are typically live in 1–5 days, many in a single afternoon
• Transparent entry pricing — a free plan, Pro from $20 per user per month with no seat minimum, and Enterprise priced per user from 35 seats, with implementation, onboarding, and training included rather than quoted separately
• Built-in agentic workflows — natural-language chat, multi-source summarization, RAG-powered answers, automated digests, and custom workflows out of the box
• Enterprise governance — SOC 2 Type II, Bring Your Own Cloud, zero data retention, and role-based permissions enforced at the source

Tradeoff: as a vendor-neutral platform, GoSearch sits alongside your existing suite rather than being bundled into it — organizations standardized on a single ecosystem may prefer that vendor’s native tooling.

2. Guru

Guru has evolved into an AI Agent Center that combines enterprise search with a verified internal wiki. It suits teams that need AI answers grounded in expert-approved content rather than raw, unreviewed documents. For a feature-level breakdown, see GoSearch vs. Guru.

Where it excels:

• Verified knowledge base — built-in verification workflows ensure answers rely on content explicitly approved by subject-matter experts
• AI knowledge agents — teams can build support- or project-specific agents that research and summarize across 100+ integrated apps

Where it has limits:

• Per-seat pricing with a floor — self-serve runs $25 per seat per month with a 10-seat minimum, putting the real entry price at roughly $250 per month; the Enterprise tier is sales-led with usage-based components and no published pricing. Every user who needs to read content requires a paid seat, so headcount drives the final bill more than usage does
• Requires ongoing manual card curation, verification processes, and content governance overhead
• Trades scalability for content control — automated discovery platforms require far less curation labor
• Better suited to knowledge management than broad search across live systems

3. Notion AI

Notion AI embeds search and agents directly inside the Notion workspace. It supports custom AI agents for summaries, planning, and proposal generation, and offers enterprise search connectors for Google Drive, GitHub, Slack, and Salesforce on higher tiers. Notion’s custom agents can turn transcripts, notes, or documents into structured plans and deliverables without leaving the workspace.

Best for: teams already living in Notion whose search needs don’t extend far beyond it. See GoSearch vs. Notion for a direct comparison.

4. Slack AI

Slack AI provides organization-wide conversational search, a Slackbot personal assistant, and strict adherence to existing Slack permission structures. It can search across conversations and connected apps, analyze reports, and help prepare for meetings inside Slack.

Best for: Slack-native teams that want conversational search with zero permission reconfiguration. See GoSearch vs. Slack for a direct comparison.

Tradeoffs for Notion AI and Slack AI: both function best within their own ecosystems, cross-platform search may require higher tiers, and neither provides full federated coverage across Jira, Salesforce, HRIS systems, and DevOps tools without additional infrastructure. They are closer to intelligent workspace assistants than neutral enterprise search layers.

5. Onyx (formerly Danswer)

Onyx is an open-source enterprise search and AI assistant platform that has become one of the most-cited Glean alternatives among technical teams. For a side-by-side on connectors and governance, see GoSearch vs. Onyx.

Where it excels: open-source with an active community and transparent codebase, self-hostable for strict data residency requirements, configurable LLM support across OpenAI, Anthropic, and open-weight models, strong document Q&A and RAG, and no per-seat licensing on the OSS tier.

Where it has limits: more engineering effort to deploy and maintain than SaaS alternatives, fewer pre-built enterprise connectors, a less developed agentic workflow layer, and a newer managed cloud offering than competitors’.

6. Coveo

Coveo delivers AI-driven search and recommendations across workplace, service, and ecommerce use cases, with strong ML-based relevance. Implementation and licensing costs run high, and tuning requires technical resources.

Best for: large enterprises with complex search needs spanning customer and employee touchpoints.

7. Elastic Enterprise Search

Elastic offers developer-focused search infrastructure built on open-source Elasticsearch, favoring maximum flexibility over turnkey business use. Total cost and operational effort scale with customization and data volume.

Best for: engineering-heavy teams with in-house search expertise that need deep customization and relevance tuning.

8. Lucidworks Fusion

Lucidworks Fusion is an AI search platform built on Apache Solr with hybrid lexical and semantic search. It has proven ROI in large deployments but requires complex configuration and typically professional services engagements.

Best for: organizations with mature ML pipelines and dedicated search expertise.

9. Microsoft Copilot

Microsoft Copilot integrates directly with Teams, SharePoint, OneDrive, and Outlook as an M365 add-on. Search quality degrades outside the Microsoft stack, and it requires Copilot licenses on top of base M365 costs.

Best for: organizations fully committed to Microsoft 365. For M365-heavy teams that also need to search Salesforce, Jira, or custom tools, a cross-platform layer provides broader coverage without replacing Microsoft tooling.

10. Algolia

Algolia is included here because it appears frequently in Glean comparison searches — but it solves a different problem: customer-facing product search, not internal knowledge discovery. It provides API-first AI search optimized for external applications — fast, developer-friendly, and usage-priced.

Best for: product and ecommerce teams building external search experiences.

Best Glean Alternative by Use Case

For small teams. GoSearch and Onyx are the strongest options. GoSearch offers a free plan and no seat minimum on Pro, making it accessible without a large procurement process. Onyx works well for small technical teams wanting full control and zero licensing costs, though it requires self-hosting. Both avoid Glean’s ~100-seat minimums and paid POC requirements.

For a free option. Onyx is the leading free alternative — fully open-source, self-hostable, with no per-seat cost on the OSS tier. GoSearch also offers a free plan for teams that prefer managed SaaS without infrastructure overhead. Neither requires the paid proof-of-concept engagement Glean typically mandates before production access.

For Microsoft 365 environments. Microsoft Copilot is the natural choice for organizations fully committed to the Microsoft ecosystem. Its limitation is search quality outside the Microsoft stack.

For regulated industries. GoSearch is the strongest option for finance, healthcare, and legal teams with strict data governance requirements. Its hybrid architecture lets you federate sensitive data — querying it in place rather than copying it into a central index — while still indexing shared knowledge for speed, avoiding the PII exposure and expanded audit scope that indexing everything introduces. It is SOC 2 Type II certified and supports Bring Your Own Cloud deployment.

For open-source requirements. Onyx supports configurable LLMs, self-hosting for full data residency control, and RAG-powered answers across connected sources. The tradeoff is engineering overhead.

GoSearch vs. Glean

How does total cost of ownership compare?

Factor	GoSearch	Glean
Implementation time	Days	6–12 weeks
Entry pricing	Free plan; Pro from $20/user/mo	Custom quote, no published pricing
Seat minimum	None on Pro; 35 seats on Enterprise	~100 seats
Proof of concept	Free plan and low-friction trials	Typically paid
Renewal behavior	Priced to scale without renegotiation	Buyer-reported increases of 30–50% at scale
Maintenance	Hybrid model minimizes ongoing overhead	Connector, permission, and index sync management
Onboarding	Included in standard plans	Professional services often required

For the detailed cost analysis, see our breakdowns of Glean’s total cost of ownership and Glean pricing, or the full GoSearch vs. Glean comparison.

How do governance and security compare?

The architectural difference creates meaningfully different security postures. Glean indexes and stores a centralized copy of enterprise data, duplicating sensitive PII into a secondary index — which increases audit scope, broadens the potential attack surface, and adds compliance hurdles for regulated organizations.

GoSearch federates sensitive and personal data, querying it in place rather than storing a copy, while indexing shared knowledge where retrieval speed matters. It is SOC 2 Type II compliant, supports Bring Your Own Cloud, and maintains a zero data retention policy, with enterprise-grade access control, auditing, and role-based permissions included by default. For teams where data residency and minimizing PII exposure are non-negotiable, the hybrid approach reduces compliance scope rather than expanding it. See GoSearch’s enterprise search security controls for certifications, deployment options, and data handling detail.

How does LLM flexibility compare?

GoSearch supports five or more configurable LLM providers — including OpenAI, Anthropic, Mistral, and open-weight models — with the ability to switch between them without re-implementing the platform, and to tune retrieval behavior per use case. Glean uses a more fixed model approach; customers generally cannot select or swap the underlying LLM, which limits optimization for cost, latency, or task-specific performance as the model landscape evolves.

If you’re still evaluating what Glean Search is and how it works architecturally, that context is useful before comparing it against alternatives.

Which Glean Alternative Is Right for You?

If you want…	Choose…
A drop-in replacement — live in days, lower TCO, hybrid architecture	GoSearch
Verified knowledge governance with expert-approved content	Guru
AI search embedded inside your existing Notion workspace	Notion AI
Conversational search across Slack with zero permission reconfiguration	Slack AI
An open-source, self-hosted option with full LLM control and no per-seat cost	Onyx
Deep integration with Teams, SharePoint, and OneDrive in an existing M365 tenant	Microsoft Copilot
Fast, customer-facing product search with a developer-first API	Algolia
Full infrastructure control and custom relevance tuning, with the engineering team to match	Elastic
ML-driven relevance for support or ecommerce, with budget for an enterprise contract	Coveo

Common Pitfalls When Evaluating Glean Alternatives

Organizations frequently underestimate these factors when switching enterprise search solutions:

• Connector coverage — a platform may look capable in a demo but fall short on homegrown tools, less common SaaS apps, or structured and unstructured sources simultaneously. Verify actual connector depth, not the marketing count.
• Governance and permissions — search must respect source-native access controls. Platforms that don’t enforce permissions at the data source create exposure, especially when AI summarization is involved.
• Adoption, not just features — the best-ranked platform means nothing if employees don’t use it. Evaluate UI clarity, time-to-first-result, and onboarding burden for non-technical users.
• Total cost of ownership — license pricing is one line item. Factor in infrastructure, maintenance staffing, professional services, and renewal pricing at scale.
• The AI and relevance layer — understand whether the platform uses RAG, how it handles multi-source summarization, and whether the LLM is fixed or configurable.
• Deployment timeline — some platforms quote low entry costs but need 8–16 weeks and professional services to reach production. Confirm realistic time-to-value before committing.

Choosing the Right Glean Alternative

Choosing the right enterprise search software means looking past feature checklists and headline pricing to evaluate security architecture, operational complexity, scalability, and long-term cost.

Ultimately, the best Glean alternative is the one that aligns with your security posture, AI maturity, and knowledge activation strategy — which usually comes down to how much you’re willing to index versus query in place. Architecture is the foundation, and it determines how effectively your organization can activate trusted knowledge at scale.

For the full vendor landscape beyond Glean replacements — including architecture, deployment speed, and pricing transparency across the market — see our guide to the top enterprise search software.

Try GoSearch free and validate ROI before committing to enterprise contracts, or get a personalized walkthrough.

Glean Alternatives FAQs

Sourced from vendor published pricing where available, GoSearch product pricing, and buyer-reported implementation and renewal feedback.