How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; Lang (by Capacity) has -37.2%.

How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. Lang (by Capacity): Paid. Paid via custom quote. Lang's capabilities are now delivered as part of the Capacity platform, priced per engagement through a demo request rather than published tiers.

What are alternatives to Glean and Lang (by Capacity)?

Other tools in related categories include Notion, Salesforce Agentforce (formerly Einstein), Gong – Revenue AI OS, Clay, Hex.

Glean vs Lang (by Capacity) — Traffic (3.3M vs 453), Pricing & Verdict

Open AI Tools

Glean vs Lang (by Capacity) — Traffic (3.3M vs 453), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Glean	Lang (by Capacity)
Official Domain	glean.com	lang.ai
Pricing Model	Contact for Pricing	Paid
Monthly Visits	3.3M (3,301,875)	453 (453)
MoM Traffic Delta	+4.86K (+0.1%)	-268 (-37.2%)
Primary Market & Share	🇺🇸 United States (56.6%)	🇧🇷 Brazil (41.3%)
Direct Visits / mo	2.63M	182
User Rating	4.6	4.1
Supported Platforms	Website	Website

Glean

Enterprise AI grounded in your company's own knowledge

Permission-aware enterprise search

Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.

Agent builder and orchestration

Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.

Model routing and AI gateway

Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.

Grounded content and analysis

Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.

Strengths & Pros

+Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout
+One platform covers search, assistant, and agents instead of three separate vendors
+Model routing and token efficiency directly reduce the cost per AI query at scale
+275+ pre-built connectors shorten integration work considerably