How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; Humanly has -19.1%.

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. Humanly: Contact for Pricing. Custom/quote-based pricing. Humanly does not publish public tiers; you book a demo or request a quote, and cost is scoped to your hiring volume and the modules you deploy. No free plan is advertised.

What are alternatives to Glean and Humanly?

Other tools in related categories include Notion, Workable, Dust, Kula AI, Sense.

Glean vs Humanly — Traffic (3.3M vs 109.72K), Pricing & Verdict

Open AI Tools

Glean vs Humanly — Traffic (3.3M vs 109.72K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Glean	Humanly
Official Domain	glean.com	humanly.io
Pricing Model	Contact for Pricing	Contact for Pricing
Monthly Visits	3.3M (3,301,875)	109.72K (109,717)
MoM Traffic Delta	+4.86K (+0.1%)	-25.85K (-19.1%)
Primary Market & Share	🇺🇸 United States (56.6%)	🇺🇸 United States (66.8%)
Direct Visits / mo	2.63M	50.07K
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