# Glean vs Runner

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. Runner records 0 monthly visits with — growth and Contact for Pricing pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [Runner](https://openaitools.app/tool/runner) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://runner.now |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Assistant, AI Productivity Tools, AI Workflow, AI Meeting Assistant |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 3,301,875 | 0 |
| MoM Growth Rate | +0.1% | — |
| Primary Market | United States | Global |
| Direct Visits | 2,628,666 | 0 |
| Review Score | 4.6 | 4.6 |
| Saved Count | 7 | 0 |
| Supported Platforms | Website | Website |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** 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.

- **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.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** 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

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.md)

## Runner

Runner is an AI agent platform built around a simple idea: instead of one general assistant, run as many agents as you have customers, each one working a case through to completion. The workflow has three steps. You show Runner how your team handles a process; it validates new agents against a simulation built from your past cases until they match your best teammates across dozens of tests; then it deploys an agent per customer in whatever channel they use, such as email, text or phone.

Earlier messaging framed Runner as an AI chief of staff for founders. The current site has broadened that into an end-to-end process platform for sales, support, operations and finance. Instead of drafting a single follow-up email, Runner runs the whole collection process across every delinquent account; instead of reporting sign-ups, it walks every driver applicant through onboarding. The company cites examples like collecting on 500 past-due accounts with a first payment on a three-year-old invoice, and nearly a 5x lift in response rate (2.6% to 12.6%) for a rideshare driver-activation campaign.

Runner emphasizes control and safety: agents stop rather than guess on uncertain cases, sends are capped, most teams approve every message in the early weeks, and every action is recorded. It also lets you bring your own connectors and keeps your playbook, wording and data private, stating it does not train models on your data. You can set it up by adding a plugin inside Claude Code or talk to the team directly.

**Pricing & Plans:** Runner does not publish public pricing. The site offers a product demo and a contact path ("talk to our team") and a quick self-serve setup via a plugin command inside Claude Code, so cost is arranged directly with the vendor based on team size and usage.

- **Train on your own workflows:** Show Runner how your team handles a process, and it turns your past cases into a realistic test that agents must pass before going live.
- **One dedicated agent per customer:** Run as many agents as you have customers, each working 1:1 in the channel the customer uses — email, text or phone.
- **Customer context from public data:** Agents read LinkedIn to learn who a customer is, where they work and what they post, so outreach and follow-ups stay relevant.
- **Broad app and website access:** Connects to your work apps and internal systems, uses any website (even ones most AIs cannot), and reads files or runs code when a job requires it.
- **Human-in-the-loop safety controls:** When something is uncertain the agent stops and flags it for a person, sends are capped, and every action is logged so you can see what happened and when.

**Strengths:** Scales personal attention by giving each customer their own dedicated agent; Trains and validates against your real past cases before deployment; Works across email, text and phone and connects to your existing apps; Strong human-in-the-loop controls, capped sends and full action logging

**Limitations:** Per-seat or per-agent pricing is not published publicly; Requires setup work to define playbooks, tests and connectors; Best value for high-volume, repetitive processes rather than one-off tasks; Newer positioning means fewer public case studies and third-party reviews

[Profile (Markdown)](https://openaitools.app/tool/runner.md)

## Frequently Asked Questions

### How do Glean and Runner compare in monthly traffic?

Glean has 3,301,875 monthly visits, while Runner has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; Runner has —.

### 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. Runner: Contact for Pricing. Runner does not publish public pricing. The site offers a product demo and a contact path ("talk to our team") and a quick self-serve setup via a plugin command inside Claude Code, so cost is arranged directly with the vendor based on team size and usage.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | AI-first customer service with a natively integrated AI agent | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [Dialpad](https://openaitools.app/tool/dialpad) | 2,763,687 | +10.7% | Paid | The AI platform for customer experience and business communications | [.md](https://openaitools.app/tool/dialpad.md) |
| 4 | [Runable](https://openaitools.app/tool/runable) | 1,048,370 | -1.9% | Freemium | One AI agent to build, run and grow the work | [.md](https://openaitools.app/tool/runable.md) |
| 5 | [Wajo](https://openaitools.app/tool/wajo) | 743,352 | +469.3% | Freemium | AI action agents that call, book, buy and get it done | [.md](https://openaitools.app/tool/wajo.md) |
| 6 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search. | [.md](https://openaitools.app/tool/dust.md) |
| 7 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |
| 8 | [Town](https://openaitools.app/tool/town) | 472,909 | -12.8% | Freemium, Free Trial | An adaptive AI work assistant that learns how you work across inboxes, calendars, chats, and apps | [.md](https://openaitools.app/tool/town.md) |
| 9 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 10 | [Lindy](https://openaitools.app/tool/lindy) | 323,329 | -0.2% | Freemium, Contact for Pricing | Hire an AI employee that connects to your stack and gets real work done | [.md](https://openaitools.app/tool/lindy.md) |

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Source: https://openaitools.app/compare/glean-vs-runner

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)