# Glean vs WorkMagic

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. WorkMagic records 14,786 monthly visits with -40.2% growth and Contact for Pricing pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [WorkMagic](https://openaitools.app/tool/workmagic-io) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://workmagic.io |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Testing, AI Marketing, AI Advertising, AI For Data Analytics |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 3,301,875 | 14,786 |
| MoM Growth Rate | +0.1% | -40.2% |
| Primary Market | United States | United States |
| Direct Visits | 2,628,666 | 6,449 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 7 | 2 |
| 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)

## WorkMagic

Most marketing analytics stacks start from platform-reported conversions, which are inflated by double counting and by conversions that would have happened anyway. WorkMagic takes the opposite route: run incrementality tests first to establish what actually caused sales, then use those verified results to calibrate the models your team relies on day to day. The company calls this Triangulated Measurement — lift tests for truth, media mix modelling for strategic budget planning and causal attribution for tactical execution.

The platform's incrementality testing is automated and positioned on reliability: WorkMagic says 98% of its tests successfully measure lift, against an industry average of about 70%. Those results feed two downstream models. The omnichannel causal attribution model assigns credit across channels and creative while accounting for cross-channel effects, and the media mix model combines historical data with live test results to produce budget projections the vendor says land within 10% of actual performance.

A recurring theme in WorkMagic's customer stories is the halo effect — for example, TikTok Shop Ads that lift Shopify revenue far beyond the platform they ran on, or DTC attribution figures that were off by roughly a third. By measuring those cross-channel effects, brands and their finance teams share one view of incremental performance and can shift spend with more confidence. WorkMagic sells to e-commerce and omnichannel advertisers through a demo, so pricing is quoted based on your spend and measurement scope.

**Pricing & Plans:** Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

- **Incrementality testing as ground truth:** Run automated geo and holdout experiments that measure true causal lift, with the vendor reporting a 98% test success rate versus an industry average near 70%.
- **Omnichannel causal attribution:** Calibrate a multi-touch attribution model with verified lift results so channel and creative-level credit reflects real incremental impact across all sales channels.
- **Causal media mix modeling:** A real-time MMM calibrated on historical data plus live test results, producing budget projections that land within roughly 10% of actual performance.
- **Halo effect measurement:** Quantify the impact of ads on sales channels beyond the one they ran in, so ROAS reflects the whole funnel rather than a single platform.
- **Finance-aligned reporting:** Align growth and finance on the same objective metrics, replacing platform-reported CAC estimates with incrementality-adjusted figures.
- **Budget optimisation:** Convert measurement into next-dollar decisions with budget scenario planning across channels and creative.

**Strengths:** Uses causal lift tests rather than trusting platform-reported conversions; Calibrates MMM and attribution with real experimental results; Explicitly quantifies halo effects across sales channels; Transparent published accuracy claims (98% test success, projections within 10%)

**Limitations:** Demo-gated sales process with no transparent public pricing; Enterprise-grade measurement fits larger advertisers better than very small brands; Incrementality tests and MMM calibration need meaningful data volume to be reliable; Value depends on connecting ad platforms, CDP and analytics data cleanly

[Profile (Markdown)](https://openaitools.app/tool/workmagic-io.md)

## Frequently Asked Questions

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

Glean has 3,301,875 monthly visits, while WorkMagic has 14,786. 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%; WorkMagic has -40.2%.

### 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. WorkMagic: Contact for Pricing. Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

## 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 | [Triple Whale](https://openaitools.app/tool/triple-whale) | 1,594,461 | +1.1% | Freemium, Paid | Know what's actually working in your ecommerce business — and act on it instantly. | [.md](https://openaitools.app/tool/triple-whale.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |
| 6 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 7 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 8 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |
| 9 | [GoSearch](https://openaitools.app/tool/gosearch) | 55,390 | +1.4% | Freemium | Connects workplace apps for semantic enterprise search and custom agents, but lacks Glean's extensive out-of-the-box connector ecosystem. | [.md](https://openaitools.app/tool/gosearch.md) |
| 10 | [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | -23.6% | Free Trial, Paid | The AI data platform that gives ecommerce teams and their agents one trusted source of truth | [.md](https://openaitools.app/tool/polaranalytics-com.md) |

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Source: https://openaitools.app/compare/glean-vs-workmagic-io

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