Enterprise search has changed. It used to mean a search box that returned a list of links. Now it often means an assistant that reads across your company's tools and gives a direct answer. That is more useful, and it raises the stakes on permissions, accuracy and audit.
If you are looking at Glean and want to compare it with other approaches, this article gives you a way to do it. It is not a ranking. Details of third-party products change, so statements about them are marked for confirmation. What lasts is the method.
What enterprise search needs to do
At minimum, a good system should:
- Find the right content across the systems your teams use
- Show where an answer came from
- Respect who is allowed to see what
- Stay current as content changes
- Give you visibility into how it is used
An AI layer on top adds direct answers and sometimes automation. That is where governance matters most, because the system can now summarize information for people who ask.
The categories of alternatives
Options generally fall into a few groups.
Search built into your existing suite. If your company standardizes on one productivity or collaboration platform, its built-in search and assistant may cover many needs, especially inside that ecosystem. Check how well it reaches content outside it.
Dedicated enterprise search vendors. Specialist products focus on connecting many systems and returning ranked results, increasingly with AI answers. They can be strong on breadth. Ask about deployment options and how they handle governance.
Open-source or self-built stacks. Teams with strong engineering capacity sometimes assemble their own. This gives control and flexibility, with the cost of building and maintaining everything yourself.
Private AI platforms. These run inside your own infrastructure and combine search, assistants, knowledge management and agents with governance built in. They suit organizations that need control over data location, models and audit.
The criteria that matter
Use the same list for every option.
Data location and deployment
Where does it run, and where does your data live? Some products are hosted services. Others can run in your own cloud, in your VPC or on-premises. If data location is a requirement, this question narrows your options quickly.
Permissions
This is the criterion that most separates serious enterprise products from demos. Ask how the product learns who may see what, how it keeps that in sync with the source systems and how quickly changes take effect. Then test it.
Citations
Every answer should show its sources. Check that the citations are real, link to the original and actually support the answer. When the knowledge does not cover a question, the product should say so.
Audit
Ask what is logged, who can see the logs and how long they are kept. For any product that can take actions, ask whether each step is recorded and whether sensitive actions can require approval.
Connectors
List the systems you need. For each, ask whether a connector exists, what content and metadata it covers and how permissions come through. A long connector list means little if your three most important systems are shallow.
Model choice
Ask whether you can choose the model, change it later and control where it is hosted. If your policies limit which models you may use, this matters.
Knowledge governance
Search finds what exists. It does not decide whether it is right. Ask how the product helps you keep knowledge current: owners, review steps, conflict detection and gap reports. Without them, an assistant will happily surface outdated content.
Analytics
Look for visibility into what people ask, what could not be answered and where content is missing. That data tells you what to write next and whether the system is paying off.
How to run a fair evaluation
- List the systems your teams search today and which hold restricted content.
- Pick ten real questions, including some that should be answered differently for different roles.
- Run the same questions through each option and record the answers and citations.
- Check what happens when the answer is not in the knowledge.
- Test permissions with a restricted document and a user without access.
- Ask to see the audit trail and the analytics for the test period.
- Compare the effort to deploy, govern and maintain each option.
Search quality matters, but governance often decides the final choice. Write that down at the start of the evaluation, so the people scoring the demos weigh both. A tool that finds everything and cannot prove who saw what is hard to approve.
Effort and cost to consider
Look beyond the license. Include the effort to connect sources, configure permissions, govern content and answer your security team's questions. A cheaper product that takes months to clear review can cost more than a pricier one that passes quickly. We do not quote prices here, and you should ask each vendor for a scoped estimate against your requirements.
Keep the scoring sheet and the raw answers from every test. When someone later asks why you chose one option, you will have evidence instead of impressions.
Where a governed private platform fits
A privately deployed platform tends to suit organizations that:
- Need to run in their own cloud, VPC or on-premises
- Want a named owner and a review step behind every answer
- Need analytics on unanswered questions and knowledge gaps
- Want to control the model and retention
- Plan to add agents that run governed workflows
Our platform combines an assistant with cited answers, agents with approval gates, a Knowledge Engine and analytics, all on one governed foundation. You can see how they fit together on our products page, and read how deployment and access control work on our security page.
Common mistakes in these evaluations
- Judging by the demo dataset. Vendors show their best content. Use yours.
- Testing only as an administrator. Admins can see everything. Test as an ordinary user with limited access.
- Ignoring freshness. Ask how soon a changed or deleted document is reflected in answers.
- Overlooking adoption. A tool that people do not trust will not be used. Involve a few real users early.
- Forgetting the exit. Ask what you can export and how hard it would be to switch later.
Who should own the decision
Enterprise search touches IT, security, knowledge owners and the teams who use it. Give the decision an owner who can bring them together, and involve security and compliance from the start, not at the end. Evaluations that begin with a business sponsor and a security reviewer in the same room tend to reach a clear answer faster.
A structured comparison
We have also set out a side-by-side comparison of a private deployment and a hosted enterprise search product on these criteria.
Where to go next
If you would like to see how a governed private platform handles your own documents and permissions, take a look at our Enterprise AI overview and book a demo.
