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It's a split decision.
Choose Glean for permission-aware search and agents grounded in your company’s knowledge across work apps. Choose AlphaSense for market and company research across expert transcripts, broker research, filings and financial data, with cited AI answers and tools for Excel and PowerPoint. They are not direct substitutes: Glean focuses on internal company knowledge, while AlphaSense focuses on curated market intelligence. Neither publishes a starting price, and the available pricing details describe custom or contract-based terms.
01Side by side
| Glean | AlphaSense | |
|---|---|---|
| Starting price | Not published; contract-based billing | Not published; custom quote |
| Free plan | No free plan listed | No free plan listed |
| Best for | Company-wide knowledge search and governed agents | Finance and strategy market research |
| Core strength | Permission-aware answers across company knowledge | Cited insights from curated financial and business sources |
| Learning curve | Not published | Not published |
| Integrations/data | Connects company knowledge across work apps | Searches transcripts, broker research, filings and financial data |
| Team/seat costs | Unpublished; machine-scale use without seat coverage may cost extra | Custom quote; seat costs not published |
| Support | Premium Support add-on; price and terms not published | Support details not published |
Glean Choose Glean if
- Choose Glean if company knowledge is spread across work apps.
- Choose Glean if permission-aware search and answers matter.
- Choose Glean if you want governed agents for workflows.
AlphaSense Choose AlphaSense if
- Choose AlphaSense if your team researches markets and companies.
- Choose AlphaSense if you need expert transcripts and broker research.
- Choose AlphaSense if cited insights and finance tools matter.
02Pricing compared
Neither vendor publishes a starting price, and neither has a free plan listed. AlphaSense says both Market Intelligence and Enterprise Suite (also described as Enterprise Intelligence) require a custom quote; monthly and annual billing details are not published. Its listed add-ons include Tegus Expert Call Services, Canalyst Models, Agent API and SuperAnalyst MCP.
Glean’s pricing is also contract-based, with no monthly or annual rates published. Enterprise Flex includes unlimited Fast Mode queries and up to 100 Thinking Mode queries per user per week on Standard models; queries using over 30 FlexCredits count as multiple queries. Core Suite covers normal human-scale usage, while machine-scale usage without matching seat coverage may incur extra fees. Protect+, Premium Support and FlexCredit Packs cost extra, with prices not published. Model Hub usage is charged at provider API rates, and other usage fees are not specified. Get a quote and clarify usage limits before comparing total cost.
03Features and depth
These products solve different research problems. Glean connects company knowledge across work apps and offers enterprise search, answers and agents grounded in that context. Its homepage highlights permission-aware access, so users see only information they are allowed to access, plus support for 40+ LLMs and observability across queries, answers and actions. Enterprise Flex also sets a weekly limit for Thinking Mode queries.
AlphaSense is built around market and company research. Its listed sources include expert transcripts, broker research, company filings, financial data and firm content. The homepage says its AI answers include sentence-level citations, and describes Deep Research, financial-model work in Excel, and generating or refreshing presentations in PowerPoint. AlphaSense’s add-ons include Tegus Expert Call Services and Canalyst Models.
Choose by published material, not by the AI label: Glean is for finding and acting on internal company knowledge; AlphaSense is for researching external market and financial information. Neither feature set makes the other a direct substitute.
04Ease of use and learning curve
Ease depends on what you need to connect and how your team works. Glean’s promise is one search and agent layer across company apps, but the available material does not detail setup steps or time to adoption. Its agents, model choices and usage rules may also require governance decisions; the pricing page does not publish the full contract terms.
AlphaSense centers on curated research, with workflows for cited answers, Excel models and PowerPoint presentations. That focus may be easier to evaluate for finance and strategy teams than an internal knowledge platform, but pricing still requires a custom quote. Our review scores rate ease of use at 6/10 for Glean and 7/10 for AlphaSense; treat those as comparative ratings, not a promise about onboarding.
Questions people ask
Which is better for searching internal company knowledge?
Glean is the closer fit. It connects company knowledge across work apps and offers permission-aware search and agents grounded in that context. AlphaSense is positioned around curated market and company research, including filings, expert transcripts and broker research, rather than internal knowledge search.
Are Glean and AlphaSense direct competitors?
Not for most buying decisions. Glean focuses on company knowledge across internal work apps; AlphaSense focuses on market intelligence and research sources such as filings, financial data and expert transcripts. Both use AI to answer questions, but the underlying information and workflows differ.
Does AlphaSense provide citations in AI answers?
Yes. AlphaSense’s homepage says its AI-generated answers include sentence-level citations. That makes it a fit to consider when research teams need to trace insights to published material. The published product information does not specify citation behavior for every feature or output.
How much do Glean and AlphaSense cost?
Neither publishes a starting price. AlphaSense says Market Intelligence and Enterprise Suite require custom quotes, with billing details not published. Glean’s plans are contract-based, and prices for its listed add-ons and several usage fees are also not published. Ask vendors to clarify included usage and overages.