CustomGPT.ai Blog

5 Best Enterprise Search Software in 2025! (I Tried All Of Them)

TL;DR

  • Enterprise search software is an AI-driven tool that helps teams to quickly scan through internal data sources like emails, documents, and apps to find information, without searching manually.

  • After testing multiple platforms hands-on, my top three picks are CustomGPT, Glean, and Coveo. Each offers strong AI search capabilities and broad integrations.

  • I evaluated these software based on their ease of use, semantic search accuracy, supported data sources, security certifications, automation features, and pricing.

  • Overall, CustomGPT stands out with citation-backed answers, fast no-code setup, wide connector support, and a starting price of $89/month for three users.

  • It is the best option for most teams because it balances power and simplicity without heavy IT involvement or enterprise-level budgets.

Key Takeaways

  • Enterprise search software works like your company’s internal Google that pulls relevant info from the company’s scattered data, such as emails, docs, databases, and connected apps like Slack, using AI. It helps employees find answers quickly.

  • Features to consider when choosing an enterprise search software are:

    • Semantic search quality that goes beyond keywords for smarter results
    • Easy integrations with your everyday tools (Slack, Google Drive, Notion, Confluence)
    • Customizable AI agents for automation
    • Analytics dashboards for usage insights
    • Strong security, like SOC 2 and GDPR, to keep and protect sensitive data

  • Enterprise search software pricing options range from budget-friendly tools like Meilisearch at $30/month for developers or GoSearch’s free tier for tiny teams.

Mid-range predictability with CustomGPT’s $89/month flat rate that covers multiple users. Enterprise platforms like Glean and Coveo require custom quotes and typically cost more.

  • To choose the right tool,  test options with real queries from your workflow to check accuracy and speed, then eyeball the admin dashboard for how easily you can tweak permissions and track ROI. 

This way, you can ensure your tool meets the needs and workflow of your team.

I came across an interesting McKinsey report showing that the average time workers spend each week looking for the right information is 11 hours.

If you’re an IT manager, imagine what this means for your team and your company:

– Productivity drops

– The company loses money

That’s why, more than ever, companies are embracing enterprise search software. In fact, this global market is expected to reach about $8,85 billion by 2030.

Enterprise search market grows from USD 4,867.2M in 2023 to USD 8,851.7M by 2030, with 8.9% CAGR.

With these tools, teams can save valuable time by quickly finding the information they need across all the company’s data sources. 

If you’re looking for the right enterprise search software for your business or team, you are in the right place.

After testing many tools, I am presenting to you my top 5 enterprise search software options. I will share their most interesting features, pros & cons, and pricing plans.

Keep reading!

Top Enterprise Search Software Comparison

Tools Features
CustomGPT 1. Customized AI, with Industry-leading accuracy (benchmarked)
2. Citation‐backed answers with inline source links
3. Connect all your data 1,400+ file formats + broad enterprise connectors (Drive, SharePoint, MCP,Notion, Confluence, Zendesk, Slack)
4. No-code customization of functionality and appearanceFast time-to-value, reliability across SMBs & small enterprises
Glean 1. Uses AI-powered search and context / NLP to improve relevancy
2. Offers analytics, reporting, search insightsFine-grained access control / permission-aware search
3. AI / context-aware searchConnection to many apps and data sources (Google Workspace, Slack, docs)
Coveo 1. AI-powered relevance and intent understanding: supports natural-language queries
2. Analytics and insights: dashboards to track search metrics (click-through, zero-results), content gaps, user journeys
3. Unified index that brings together structured and unstructured data from many sources.Cloud multi-tenant architecture
Meilisearch 1. Hybrid search (AI + keyword)Search-as-you-type (prefix updates)
2. Flexible indexing, ability to customize searchable/displayed attributes
3. Typo tolerance (fuzzy matching)
Elastic Enterprise Search 1. App Search & Workplace Search
2. Semantic / vector / hybrid search
3. Flexible deployment (cloud, hybrid) as part of Elastic ecosystem
4. Notifications via email, webhooks, IBM Resilient, Jira, Microsoft Teams, PagerDuty, ServiceNow, Slack, xMatters
Tools My rating Base price Best for
CustomGPT ⭐⭐⭐⭐ 4.5/5 $89/month, billed annually SMBs to small enterprises who want to deploy enterprise search functionality rapidly, without extensive dev resources.
Glean ⭐⭐⭐⭐ 4/5 Not public Larger companies seeking to manage enterprise knowledge and employee productivity.
Coveo ⭐⭐⭐⭐ 4/5 Custom pricing Large enterprises with complex search and content management needs.
Meilisearch ⭐⭐⭐⭐ 3.5/5 $30/month Small and medium businesses mostly interested in websites and document search
Elastic Enterprise Search ⭐⭐⭐⭐ 3.5/5 $99/month Developers and large organizations seeking to add advanced search to their applications, websites, and internal workflows.

5 Best Enterprise Search Software

1. CustomGPT

CustomGPT.ai homepage highlights AI-driven precision search with OpenAI, Meta, and Microsoft logos.
CustomGPT.ai is featured as one of five enterprise search platforms tested in the 2025 review.
My rating: ⭐⭐⭐⭐ 4.5/5
Base price: $89 
Integrates with: Slack, Notion, SharePoint, Confluence, Google Drive, HubSpot, Zapier 
Best for: Business owners, IT managers, and teams wanting to go live fast with reliable AI. 

On top of our list of the best enterprise software is CustomGPT. It lets you create AI agents, personalize them, and ask questions.

You can deploy agents on your website or share them with your team via a link. CustomGPT also lets you analyze your latest prompts and manage your content sources. Launch your Enterprise Search AI today! Start your free trial here.

Creating your agent is so simple. Simply pick a data source, and choose the use case that best describes your agent. It could be enterprise search, customer support, or even a revenue-driving sales chatbot. Then you can start searching. 

Enterprise search software Q&A cites 2024 survey: 48% of companies were unhappy with current agency deliveries.
Enterprise search software Q&A surfaces a 2024 agency-satisfaction stat with an in-answer source link.

That’s not all! For example, you can connect CustomGPT to your Slack workspace

This way, your AI agent can respond to messages in Slack channels, and you can control who can use it inside the organization.

Slack login page invites users to CustomGPT.ai.Community, showing Cameron Powell, Sadiq and 1,054 others joined.
CustomGPT.ai.Community’s Slack workspace supports Google, Apple, and email SSO for enterprise user onboarding.

We also created an intelligent partner for you called Custom.ai Copilot. It’s more or less your personal AI assistant. Simply specify the help you need and let your partner perform its magic. 

Enterprise search software interface shows Documents Read at 36, 911, 1,189 and AI chat on marketing strategies.
Enterprise search software dashboard pairs Documents Read with Words Stored metrics and in-app AI chat.

Last but not least, our tool comes with a dashboard you can use to view the number of hours your AI agent saved you for a week. It shows the total number of conversations, queries, and queries per conversation. 

Key Features

1 . Agents

If you’re an IT manager preparing a company report, you might need a lot of information for that. Your AI agent will save you hours of search by instantly finding the right data for you. This will prevent you from having to search through hundreds of documents. 

The AI agent can also take action for you. 

It’ll automatically update CRMs, refresh documentation, or fill in content gaps based on your company’s data. It does this using tools like agent actions, MCP connectors, our API, and Zapier.

On CustomGPT, you create such an agent by clicking “New Agent” on the sidebar.

CustomGPT.ai dashboard displays Marketing's Team Dashboard with + New Agent button and Copilot input box.
CustomGPT.ai connects marketing team navigation with new-agent setup for enterprise search workflows.

Next, you will have to pick the data source for your agent. This means where the agent will be getting data from. There are many data sources like YouTube, Google Drive, File Upload, WordPress, etc. 

However, for this tutorial, I’ll go with the website.

Enterprise search software UI shows “Pick data source for your agent,” with Website selected and Drive options.
Enterprise search software setup lists 9 source connectors, from CMS and file uploads to SharePoint.

Enter your website’s URL to start.

Enterprise search software setup dialog confirms sitemap found, with Create Agent button and WordPress icon row.
Enterprise search software setup validates sitemap URLs before creating a site agent from WordPress content.

You must now choose the use case that best describes your agent: Customer support, Website Copilot, Enterprise Search, and Revenue Agent.

Let’s carry on with Enterprise Search.

Enterprise Search option is selected in agent setup, with “internal knowledge base” prompt and Continue button.
Enterprise Search is selected from multiple agent use cases, connecting internal knowledge base data to query flows.

Once created, it will propose questions that you can use to start your research. But if you already have your own question, you can enter it in the search bar below.

Enterprise search software interface presents three starter research questions and an Enter a topic or question bar.
Enterprise search software homepage pairs 3 preset research prompts with a bottom query field for custom topics.

The question I chose was: “What percentage of companies surveyed in 2024 were not happy with the deliveries from their existing marketing agency?”

Interestingly, the Agent gave me a straight and accurate answer with the link to the source of its data.

Enterprise search software chat answer cites 48% of surveyed firms unhappy in 2024, with source link preview.
Enterprise search software comparison highlights citation transparency, connector coverage, and indexing latency.

I clicked the link, and it took me to the exact source where I confirmed the information.  

Enterprise search software blog cites 2024 survey: 48% of companies were unhappy with agency delivery, top churn reason.
Enterprise search software comparison reviews 5 platforms, focusing on AI relevance and connector coverage.

 

CustomGPT’s simplicity makes it one of the best enterprise search software in the market.

2 . CustomGPT.ai Copilot

Our CustomGPT.ai Copilot acts as your intelligent partner. Whenever you need help with anything, you can just prompt it.

CustomGPT.ai Agents dashboard lists My Agent and Content Researcher, with 1,345 documents added and 911 read.
CustomGPT.ai enterprise search view shows two active agents with a 68% document-read rate.

For example, you could just say: “I need help with my marketing strategies”.

Enterprise search software dashboard shows Agents tab, Copilot prompt, and 1,345 documents added in one agent.
Enterprise search software test setup shows agent-based indexing tied to Copilot query workflows in 2025.

You will be impressed with the amount of knowledge it will display. It will go deeper, and you can even download the response.

Enterprise search software UI shows 1,189 documents read and chat guidance for “I need help with my Marketing strategies”
Enterprise search software dashboard pairs document-read analytics with a built-in strategy Q&A panel.

 

3 . Dashboard

Our Dashboard is designed for marketing teams. It shows how many hours your agents saved you during the week. You also have an overview of the total number of conversations and guests. 

And one amazing thing is that you can see the countries where those conversations are from. 

CustomGPT.ai Marketing Team Dashboard shows 3 human hours saved, 27 conversations, 96 queries, with Pakistan at 26.
CustomGPT.ai dashboard averages 3.6 queries per conversation, showing marketing search workload patterns.

But there is more! The dashboard also shows how your team is using the tool: how many queries were made, who sent them, where they came from, and how many were successful. 

In addition, the dashboard’s Customer Intelligence feature lets you dive even deeper, giving you an inside look at chatters’ experiences with your agents.

Where are the gaps in your knowledge base? How often are customers discussing certain keywords? How often are they happy or upset with their conversational experiences? This tool helps you answer all these questions.

Enterprise search software dashboard shows last 7 days: 96% success, 92.7% in-app, 100% team member sends
Enterprise search software benchmark dashboard tracks 7-day query success alongside in-app adoption trends.

What I enjoyed vs what gave me a hard time

What I enjoyed 👍
✅ The clean interface makes it easy to locate all the features on the sidebar menu
✅ You can create a custom agent in three clicks
✅ The platform integrates with HubSpot, Slack, Notion, WordPress, Zendesk, and Zapier
✅ The dashboard tells you how many hours your agents save you every week 
What gave me a hard time 👎
❌  The total batch size limit for uploading files is 1GB, but you can either split them into smaller parts or connect sources like Google Drive or SharePoint to automatically sync your files while you focus on other tasks.

CustomGPT is the fastest way to deploy a secure, accurate enterprise search solution built on your company’s data. Stop wasting 11 hours a week looking for information and get instant, cited answers.

Build Your AI Search Agent in 5 Minutes (Free Trial)

Best for

Pricing

  • Standard: $89/month, billed annually
  • Premium: $449/month, billed annually
  • Enterprise: Custom pricing
CustomGPT pricing compares Standard $89, Premium $449, and Enterprise Contact Us with SOC-2 and custom SSO.
CustomGPT pricing ladder shows a 5.0× jump from Standard to Premium before Enterprise negotiation.

2. Glean

Glean homepage presents Work AI for leaders with 4.5/5.0 and 4.8★ ratings, plus Agents, Assistant, and Search.
Glean is evaluated as one of five enterprise search platforms tested hands-on for 2025 buyers.
My rating: ⭐⭐⭐⭐ 4/5 stars 
Base price: Not public 
Integrates with: Box, Confluence, GitHub, Google Drive, Jira 
Best for: Large companies with task automation needs

Next on this list of the best enterprise search software is Glean. When reviewing the platform, I noticed that their search engine is a bit similar to Google and provides many filters to help find information.

When doing research on Glean, I can select my preferred source from the results found. I can also use many filters, such as Updated, Type, or From, to make the results more precise.

Enterprise search software UI returns “roadmap presentation” results with source filters like Slack 1k and Jira 63.
Enterprise search software unifies 1,063 Slack and Jira items, then ranks matches in a single results panel.

The Chat is within Glean’s AI assistant, which you can use to enter prompts, tag people or documents, or upload a file. You can then ask the assistant to summarize a particular file or action, and it will do exactly that.

Enterprise search software generates a 3-day #industry summary from Slack and Teams on Musk-OpenAI and Gemini 2.0
Enterprise search software ranks Slack vs Teams mentions, surfacing top 10 AI deal narratives.

But I fell in love with the Directory feature. It shows all the employees in an organizational chart. I can click on one employee and know everything about them: name, position, location and even social handles.

Enterprise search software UI maps employee profiles, showing Laken Kelley at Glean with Slack and Google links.
Glean enterprise search links employee profiles to connected tools via a unified knowledge graph.

Key features

1 . Home 

On Glean, after adding your source, you will use the search bar on the Home interface to do your research. The research can be a “roadmap presentation”.

Glean enterprise search shows query “roadmap presentation” with suggestions and FY25–FY26 update cards.
Glean uses permission-aware ranking across connected workplace apps, a key enterprise search feature in 2025.

The search page reminded me of Google.

The left side of the interface shows all your search results with the exact sources.

Glean search returns “roadmap presentation” with 10k results, led by an external Product Roadmap doc updated 3 days ago.
Glean surfaces cross-app results with source badges and recency signals for ranking.


I can, for example, click on “Gong,” which has 7k results. The whole interface will only display these results.

Glean search interface returns “roadmap presentation” results with source filters, including Gong at 7k items.
In this 2025 enterprise search comparison, Glean shows source-level filtering across thousands of Gong records.

If I click the “Updated” filter, I can specify the time range for the results that will show up.

Enterprise search software interface shows “roadmap presentation” results with Updated filter counts up to Past year (5k).
Enterprise search software test setup: one query is benchmarked across 5 platforms using date facets.

By clicking “From”, I can choose the exact employee I want the search page to show their results. There are also other filters like Type, Account, Owner, and Participants.

Enterprise search software shows 'roadmap presentation' results with From teammate counts and source totals
Enterprise search software ranks “roadmap presentation” results by teammate overlap and source totals.

Another interesting thing is the “Summarize” button next to every result on the search page. It helps summarize the content of your page in case you may not want to read the whole document.

Enterprise search software shows "roadmap presentation" results with Summarize beside [External] Glean Product Roadmap
Glean enterprise search surfaces external roadmap documents and provides one-click AI summaries in results.

2 . Chat

Glean Chat is the AI assistant, which you can use to generate answers, summarize documents, and perform many other actions. You can use prompts to start.

Enterprise search software chat interface shows “Ask Assistant about a company process” with tabs and @ tag docs input.
Enterprise search software combines chat prompts with @document mentions to query indexed internal knowledge bases.

I can use this prompt, for example:” Summarize the last 3 days for the #industry Slack channel”. The Assistant will instantly start generating answers.

Enterprise search software interface summarizes last 3 days in #industry Slack, citing Elon Musk/OpenAI and Gemini 2.0
Enterprise search software in the 2025 comparison surfaces Slack threads with timestamped, source-level citations.

If you click the “+” button in the search bar, you can tag people or docs, filter data, and attach a file.

Enterprise search software UI shows Ask Assistant with Recommended docs, ADVANCED cards, and Company filter dropdown
Enterprise search software combines assistant Q&A with scoped retrieval across company-level document indexes.

3 . Directory

In large organizations, you might not have the opportunity to meet all employees. With the Directory feature, you can view them all on the platform. You can easily see who takes certain actions, along with their department and role.

Enterprise search software directory view lists All 644 people with Department, Team, Role, Location, and State filters.
Enterprise search software comparison showing a directory index of 644 employee profiles for expertise lookup.

I can also view the organizational chart of the company.

Glean Directory maps company hierarchy with Gwyneth Leonard as CEO (643), plus zoom controls and chat nav.
Glean Directory ties leadership roles to 643 employee profiles, supporting permission-aware people search.

All employees are in the chart. I can just click on one employee to have more details. It will show their full name, role, location, when they first joined, and all their social handles.

Glean directory card shows Laken Kelley in Palo Alto, Principal Product Marketing Manager, tenure over 25%.
Glean people search aggregates profile data from HR and app sources to rank internal experts faster.

What I enjoyed vs what gave me a hard time

What I enjoyed 👍
✅ The organizational chart shows all employees with their personal details
✅ You can summarize any research with their AI
✅ Loved that there are many filters to help locate your employee

What gave me a hard time 👎
❌ Doesn’t offer a trial to explore first
❌ Glean is for larger enterprises with very deep pockets, and not for SMBs or small companies, so pricing isn’t listed publicly

Best for

  • Larger companies with contracts in the six-figure range that want enterprise-grade security and large-scale deployment capabilities. 

Pricing

  • No public pricing page

3. Coveo

Coveo AI-Relevance Platform highlights enterprise ROI with Salesforce 200% self-service success and Cisco 55% ML clicks
Coveo AI-Relevance Platform unifies enterprise search, recommendations, and analytics in one index.
My rating: ⭐⭐⭐⭐ 4/5 
Base price: Custom pricing
Integrates with: AWS, Box, Confluence, Dropbox, Google Drive 
Best for: Large enterprises with complex search needs

We will continue this list with Coveo. It offers many features under project, machine learning, analytics, and its search page is a bit similar to that of Glean.

Before you browse on Coveo, you need to add sources: name and URL, for instance. After that, you can search and have access to clickable links.

Enterprise search software interface returns 3 policy pages for "Privacy policy" in 0.018 seconds with relevance sort.
Enterprise search software benchmark in 2025: relevance-ranked policy results shown in a three-item list view.

As I mentioned earlier, their search page is a bit similar to Glean but with fewer colors. When you enter a word, you will see different sources with the number of results.

Enterprise search software interface shows Results 1-10 of 36, Source filter Lji (36), and Sort by Relevance
Enterprise search software test view: 36 indexed items narrowed by source filter and ranked by relevance.

To be organized, you can create projects for the team. You can select the project type, say, “IT employee portal”, then name it and add a description.

Small Support Search Portal in Coveo Projects shows Overview and Resources tabs with IT employee portal details.
Coveo Projects links the Support Search Portal to an IT employee portal for internal knowledge retrieval.

Another impressive thing is that I can create a catalog for my business. I will simply name the catalog, include a description, and select object types such as variants and availability. Then I’ll add my products.

Enterprise search software UI shows “Create your first catalog” with “A source indexed in your organization” and Add catalog.
Enterprise search software setup maps one indexed source to a new catalog in the onboarding flow.

Key features

1 . Search Pages

Feature names usually differ from one tool to another. Using Coveo, the Search Pages is what you use to search for data across the company. 

Without wasting much time, let’s create one.

Enterprise search software dashboard shows Search Pages setup with healthy status checks and Add a search page button
Enterprise search software maps multiple Search Pages to a shared index with per-page status monitoring.

The first step is to choose my search page type from the options: Legacy Interface Editor, Code only, or Simple builder. I will go with “Simple builder”.

Enterprise search software setup shows Coveo's Add a search page with Simple builder, Legacy Editor, and Code only.
Coveo enterprise search setup provides three implementation paths for search pages: no-code, legacy, or code-first.

Next, I will name my search page and even assign it to a project if I have one.

Enterprise search software modal shows Add a search page with Name Global Knowledge Search and Project dropdown
Enterprise search software setup: Global Knowledge Search is scoped to a selected project before indexing.

That’s it! I could edit, share, or delete the search page if I want.  But that’s not all I could do! Because I love to go a step further when reviewing tools, I decided to open the search page.

Coveo Search Pages lists a Simple Builder page named Global Knowledge Search, modified Oct 16, 2025, with Open selected.
Coveo Search Pages shows the Global Knowledge Search configuration, one of five enterprise tools tested.

The interface had a very clean look.

Enterprise search software interface shows “Results 1-10 of 36” with Relevance sort and Source filter (36)
Enterprise search software comparison in 2025 evaluates 5 tools using relevance ranking and source-level filtering.

I entered the word “Client” just to see what would happen. And the search didn’t disappoint. I saw many results and pages with my preferred word. I could just scroll and select the result I wanted. 

Enterprise search software results for “Client” show highlighted snippets, Sort by Relevance, and Source: Lyx links.
Enterprise search software maps each “Client” hit to its Lyx page, enabling result-to-source verification.

2 . Content

The results your search pages show will always come from the content you feed it. And to constantly grow your search page, you need to add sources to your content.

This is what we will do by clicking “Source” under Content.

Coveo Admin Console shows Sources under Content, with “No project selected” and a “Get started” button.
Coveo enterprise search setup screen highlights Source management as a required step before indexing.

Choose a source of your content. We can go with the Web.

Enterprise search software setup shows “Add a source of content” grid with Salesforce, Slack, YouTube and Upgrade license.
Enterprise search software maps 3 connector types—CRM, chat, and video—before license tier selection.

You can name your source, add a URL, and assign it to a project (optional).

Enterprise search software setup shows “Add a new Web source” with Details, Content security, and sitemap switch
Enterprise search software config maps one web source with sitemap indexing and permission-aware crawl rules.

The source has been added. But because I wanted to be sure, I went to “Content Browser”.

Enterprise search software admin console shows Content Browser selected, html (3) filter, 3 results in 0.018s
Enterprise search software admin view demonstrates format-level filtering for rapid index verification.

In the search bar, I entered “Privacy policy”. All the pages dealing with this term suddenly popped up with the source referenced in the reply.

3 . Project

An organization has many departments and employees. You can’t just have data scattered all over the platform. You need to create a project for each use case to be organized.

Projects with an Add project button and use-case setup prompt” />
Enterprise search software UI maps Organization → Projects, linking use-case setup to project-level indexing.

To create a project, I will choose a project type, add a name, description, and an email that will serve as a point of contact.

Enterprise search software setup shows "Create a project" with Type set to IT employee portal and step 1 Identification
Enterprise search software project wizard maps IT employee portal scope before indexing internal docs.

I can now select the resource used for this project and click “Create”.

Enterprise search software Resources panel shows Search Pages selected, Global Knowledge Search checked, Create highlighted
Enterprise search software setup links Search Pages with Global Knowledge Search before creating an index.

There you go! If you followed these steps, you have just created your project.

I can see an overview of the project and the resources as well.

Coveo Projects page shows Small Support Search Portal overview with IT employee portal type and Manage project button
Coveo Projects view ties the Small Support Search Portal to IT portal settings before source indexing.

What I enjoyed vs what gave me a hard time

What I enjoyed👍
✅ You can customize the search page with filtering options such as source, author, item type etc..
✅ Has a section dedicated to commerce where you can create a catalog
✅ There are various resources I could use for my project: Properties, Search hubs, Extension, Pipeline, Search page, etc.
What gave me a hard time 👎
❌ The platform displays too many features on the sidebar which can be confusing.
❌Can be difficult for non-technical users. You need some coding experience to understand language models like Python.

Best for

  • Large enterprises with complex search and content management needs.

Pricing

  • Knowledge: Custom pricing
  • Commerce: Custom pricing
Enterprise search software layout shows Knowledge and Commerce sections with AI, modular pricing, and Learn More.
Enterprise search software comparison maps Knowledge vs Commerce modules across 5 tools in 2025.

4. Meilisearch

Meilisearch homepage demonstrates AI retrieval search with “Feel good comedy” query, showing 8 results returned in 4ms.
Meilisearch in this 2025 enterprise search test highlights typo tolerance and faceted filtering support.
My rating: ⭐⭐⭐ 3.5/5 stars 
Base price: $30/month 
Integrates with: JavaScript, Python, Ruby, Go 
Best for: Small and medium IT companies

Meilisearch is the next best enterprise search software in this list. It not only lets you retrieve information, but it also monitors your search performance and shows what users search for.

Before you can use the search options on the platform, you’ll create a project, then an Index. You will then name and choose how you want to import your documents. You can copy your search results, edit, or delete them.

Enterprise search software Search preview returns 996 results in 0ms for “SaaS” with MS2025 index selected.
Enterprise search software benchmark snapshot from one of five platforms compared for SaaS query speed.

I particularly loved the Analytics. It shows my total searches, total users, average click-through rate, and conversion rate. This means I can clearly see what people are searching for, which is great.

Meilisearch analytics dashboard shows Oct 09–16, 2025 metrics at zero and activation URL edge.meilisearch.com
Meilisearch in the enterprise search comparison shows a one-week analytics window before indexing setup.

That’s not all! I can also monitor the search performance and see the maximum search queries per second.

Enterprise search software dashboard shows Monitoring Beta graphs for latency p99–p75 and max q/s in UTC.
Enterprise search software Monitoring Beta panel correlates p99 latency spikes with max q/s dips by UTC hour.

Now, anytime you upload a file or document, it turns into a batch. You can later see the status, type, index ID, batch ID, and duration. You will also see the coding version of your file.

Enterprise search software dashboard displays 17 processing batches, with a Succeeded JSON trace and MS2025 index IDs.
Enterprise search software comparison: batch-level trace logs verify index consistency across 2025 test runs.

Key features

1 . Index

Imagine you are searching for a specific document inside your company’s software, but there are so many results. You will find it difficult to fish out the right information. 

The index helps you organize your documents in collections. This way, your searches are more relevant.

On Meilisearch, you will first create a project before accessing the main dashboard.

Enterprise search software setup screen shows project name 'Rainbow,' region Frankfurt, and highlighted Create project but...
Enterprise search software onboarding starts with project provisioning before adding data connectors and index rules.

Now, let’s create an index.

Meilisearch Cloud dashboard highlights Indexes tab, + New index button, and Free trial with 14 days left
Meilisearch Cloud in the 2025 enterprise search roundup, showing index setup before API-based querying.

Enter your index’s name.

Meilisearch Cloud shows Create an index in Rainbow with Index's name set to MS2025 and Create Index highlighted.
Meilisearch Cloud index setup in Rainbow, a first step before configuring searchable attributes and ranking rules.

Now, I can choose how I want to import my documents into my index. I can upload files, use mock data, or use a documentation crawler.

Meilisearch import modal for MS2025 shows File upload, mock data, and Documentation crawler (Beta) options.
Meilisearch MS2025 import workflow centralizes three ingestion paths, streamlining initial index setup.

Because I chose the “Documentation crawler”, I had to add a website.

MS2025 import dialog shows Website to crawl field with https://ra, plus Back and pink Next buttons.
MS2025 uses seed-URL website crawling as part of its enterprise index import workflow.

Using the Search view, I simply entered “SaaS” and got about 996 results. On the left side, I could still copy, edit, or delete the results.

Enterprise search software dashboard shows Search preview with query 'SaaS' returning 996 results in 0ms.
Enterprise search software comparison: Search preview surfaces 996 SaaS hits with real-time latency tracking.

2 . Analytics

It’s important to know what users search for. Thanks to Analytics on Meilisearch, you can see the total searches, total users, click-through rate, and average click position. It also shows your conversion rate.

Meilisearch analytics page showing empty metrics panel

There is more! The interface also displays all the search requests over a week, the most searched queries, countries with the most searches, and searches without results.

3 . Monitoring

Sometimes, your team can upload so many documents that you don’t even realize the platform is now slowing down. The Monitoring feature tracks the performance and health of the platform. 

Enterprise search software dashboard shows Search requests Oct 09–16 and No data panels with Download full lists.
Enterprise search software evaluation view highlights a 7-day request trend and unconfigured data modules.

You can see the search performance, how fast it is happening, and also the maximum search queries per second.

Enterprise search software dashboard shows Search performance p99–p75 latency and q/s charts flat at zero on Oct 15.
Enterprise search software dashboard correlates zero q/s with unchanged p99–p75 latency on Oct 15.

I could also see the indexing performance with exact dates.

Enterprise search software indexing dashboard shows p75 latency spike near 03h Oct 16, with p99/p95/p90 legends.
Enterprise search software latency percentiles help pinpoint indexing bottlenecks during the Oct 16 03h incident.

What I enjoyed vs what gave me a hard time

What I enjoyed 👍
✅ Shows how fast searches and queries are happening through analytics.
✅ Displays the countries with the most searches 
✅ The platform can add a ranking score to your search to show its relevance

What gave me a hard time 👎
❌ Some features, such as monitoring, analytics, and chat, are still in beta mode
❌ File upload is limited. Can’t upload PDF files

Best for

  • Small and medium businesses with workflows requiring heavy website and document search. 

Pricing

  • Build: $30/month
  • Pro: $300/month
  • Custom: Custom pricing

5. Elastic Enterprise Search

Elastic homepage highlights Elasticsearch platform with 2025 Gartner Observability mention and Fortune 500 trust claim
Elastic: Elasticsearch supports hybrid keyword‑and‑vector search with role-based access controls.
My rating: ⭐⭐⭐ 3.5/5  
Base price: $99/month 
Integrates with: Atlassian Jira, AWS, Azure, Beats, Box  
Best for: Developers and large organizations with complex dataset needs

The list continues with Elastic Enterprise Search. I added it to this list because it gives you access to large language models (LLMs) when you set up your chat experience. You can also customise your search with synonyms.

When I use Playground, I can create my chat experience. I simply upload my file, name my index, and select my AI connector. The AI chat shows the exact time you ask a question and receive a reply. 

Enterprise search software UI answers “What are our marketing goals for 2025?” with 5 goals and 1 cited source.
Enterprise search software interface returns a strategic query in one panel, linking goals to a cited source.

To help expand my search, I can create synonyms or interchangeable words.

Enterprise search software objectives panel shows synonym rules with Add rule, Assign to index, and 25 rows/page.
Enterprise search software config links synonym groups to specific indexes for query normalization.

You already know that an index is a collection of documents. The Index Management interface shows the index you’ve created, the number of documents you’ve added, and its storage size.

Enterprise search software Index Management lists 2025ms (1 doc, 14.6kb) and search100 (0 docs) in Indices table
Enterprise search software Index Management compares populated and empty indices for query testing.

What’s more, I can also access all my documents on the platform. When I use the Discover feature, I can view the document and a summary of its content.

Elasticsearch Discover tab displays default:all-data fields and a document on 2025 Marketing and Sales Goals.
Elasticsearch Discover supports KQL filtering and field-level inspection across unified indexes.

Key features

1 . Playground

On Elastic Search, you use Playground to create and chat with your indexed data using large language models(LLMs), or documents you’ve uploaded. 

Elasticsearch Playground highlights low-code RAG testing with New Playground button and A/B test LLMs options.
Elasticsearch Playground lets teams compare LLM outputs against the same indexed data source.

To set up a chat experience, I can choose my preferred LLM or go to Elasticsearch Data. From there, I can either create an index or start by uploading files(which is my next step).

Enterprise search software setup in Elasticsearch links Elastic Managed LLM with data via Create an index and Upload a file
Elasticsearch pairs Elastic Managed LLM with indexed files for hybrid keyword-vector enterprise search.

I could upload my files and name my index. I could also run an analysis explanation of the document, apply advanced settings, or delete it.

Elasticsearch chat setup links LLM and data upload, showing 2025 Marketing and Sales Goals.pdf indexed as 2025ms.
Elasticsearch maps an LLM to a PDF index, enabling semantic enterprise search over one source.

Under LLM settings, I could select my AI connector and add clear instructions.

Enterprise search software UI shows Elastic Managed LLM settings with citations on and 3 documents in context.
Elastic enterprise search software surfaces LLM answers with source-linked snippets for audit trails.

I could adjust the playground context by choosing the exact number of documents sent and adding context fields.

In the search bar, I entered my first question just to test the chat: “What are our marketing goals for 2025?”.

Enterprise search software playground shows Elastic Managed LLM, citations toggle, and 3 documents in context
Enterprise search software test setup: Elastic Managed LLM uses citation mode for RAG answer grounding.

The AI saved the exact time I asked the question before providing an answer.

Regarding the answer, I did not have any complaints.

Enterprise search software chat returns five 2025 marketing goals with citation ID BLIH7ZkBnaZr49UApJiV and 615 tokens.
Enterprise search software example showing source-linked goal summaries across 5 evaluated platforms.

2 . Synonyms

Not everyone types the same thing when searching. One employee may search “HR policies” while another one searches “human resource guidelines”. Without synonyms, both searches could provide different results, meanwhile they want the same information.

Let’s see an example of how to create synonyms.

Elasticsearch interface highlights Synonyms in sidebar with Search with synonyms panel and Get started button.
Elasticsearch supports synonym sets at both index and query time to improve enterprise search recall.

First, name your synonyms set

Elasticsearch synonym set modal shows Name field as “Objectives” with Cancel and Create buttons under rule setup
Elasticsearch synonym set creation maps business terms to improve query recall across enterprise search indexes.

Next, select a rule type: Equivalent, which means words with the same meaning, or Explicit, which are words that expand to include the terms on the right.

Enterprise search software UI shows objectives with Equivalent and Explicit rules, plus Assign to index button
Enterprise search software configures relevance via 2 rule types before deployment to live indexes.

Voila. I’ve created my synonyms.

Explicit: sales strategy, sales growth, business equals sales 

Equivalent: objectives, targets, and aims are interchangeable words.

Elasticsearch Discover panel displays default:all-data, Documents (1), and a 2025 Marketing and Sales Goals record
Elasticsearch Discover in Kibana supports index-level filtering and single-document inspection for 2025 data.

3 . Discover

Searching for a document shouldn’t be a whole struggle. The Discover feature lets you browse all your documents, filter, and search them. It also shows a summary of each document with its attachment author and content. 

Elasticsearch Discover shows default:all-data with Documents (1) and KQL filter bar for 2025 marketing text.
Elasticsearch in Kibana Discover supports KQL field queries, a key workflow in enterprise search evaluation.

With the Field statistics, I can see the field type, name, document in %, and values.

Enterprise search software UI displays Documents (1) field statistics: attachment.author/content/date each at 1 (100%).
Enterprise search software test view: one indexed document maps three attachment metadata fields.

On the right side of the interface, I can add and see all the available fields. This helps me understand the shape of my data. You can also explore a field in Lens.

Enterprise search software displays 11 available attachment fields with Field statistics and an Explore in Lens action.
Enterprise search software UI surfaces 11 attachment fields for Lens-based, field-level diagnostics.

What I enjoyed vs what gave me a hard time

What I enjoyed 👍
✅ Loved that the platform specifies the exact time you do research, and the exact time AI responds to it.
✅ Can create synonyms to help expand your search
✅ You can choose your preferred AI connector for your chat.
What gave me a hard time 👎
❌ Can be difficult for non-technical users as the platform uses many advanced terms like inference endpoints.

Best for

  • Developers and large organizations seeking to add advanced search to their applications, websites, and internal workflows.

Pricing

  • Standard: $99/month
  • Gold: $114/month
  • Platinum: $131/month
  • Enterprise: $184/month
Enterprise search software pricing compares Standard, Gold, Platinum, and Enterprise plans from $99 to $184 monthly.
Enterprise search software pricing ladder shows a $85 monthly gap from Standard to Enterprise tiers.

What is an Enterprise Search Software?

An enterprise search software is a tool that helps teams quickly find information across all the company’s data sources. Such information can be emails, files, documents, databases, or even cloud apps.

To give you an idea, it is like Google but for your company’s internal data. With Google, you search through the Web. But with this software, you search through everything your company already owns.

When I say everything, I mean it. For example, let’s say a new employee joins the company but doesn’t know who the CEO is. If they use an enterprise search software like CustomGPT, they can ask: “Who is the CEO of the Company?”

Enterprise search software interface shows preset research questions and a query field: “Who is the CEO of the Company?”
Enterprise search software comparison tests five tools on answer accuracy, source citations, and latency.

Not only will they receive an instant reply from the AI agent, but they will also see the source referenced in that response.

Enterprise search software chat answers “Who is the CEO?” and shows a source link with a “Sources referenced” label.
Enterprise search software in 2025 uses chat-based Q&A with citation panels for document-level traceability.

They can then click it and verify the information.

Enterprise search software panel displays six blurred profiles, LinkedIn icon, and Got any questio AI button
Enterprise search software example: LinkedIn-connected people lookup with an AI Q&A shortcut.

How to Choose the Right Enterprise Search Software

To choose the right enterprise search software, consider the following:

  • 1. Ease of use
  • 2. Features You Require In Your Business
  • 3. Pricing  and Scalability
  • 4. Integrations With Other Tools
  • 5. Security and Access Control

Let me explain further.

1. Ease of use

The very first factor to consider before choosing the right enterprise search software is ease of use.

This is very important because it determines how quickly your team can adopt and benefit from the tool. So you clearly understand that a complex one, though powerful, won’t be of much help since they don’t understand it, let alone use it.

The truth is, within many companies ( apart from tech companies), there are a good number of employees who do not have technical aspects to their work. Your team should be able to navigate easily and find what they need without constant help because of major technicalities.

For that reason, the platform should feel intuitive, with a clear display of features.

CustomGPT.ai dashboard reports 28 conversations, 97 queries, and activity text: saved 3 human hours this week.
CustomGPT.ai dashboard from the 2025 enterprise search software test links chat volume to time-saved estimates.

Search bars should be clearly visible. This way, you can find the source you need quickly for your agent, for instance. 

Enterprise search software UI shows “Pick data source for your agent” with SharePoint, YouTube, and SOC 2/GDPR note.
Enterprise search software setup links content connectors to AI agents for cross-repository retrieval.

As a business owner, if you choose a tool that is really easy to use and intuitive, you will start smiling at your employees’ performance. They will thank you for it.

Take the example of Elizabeth Planet, a leadership coach and advisor in the nonprofit sector with over 15 years of experience.

Elizabeth Planet homepage displays navigation with Search bar and services like Leadership Coaching and Impact Measurement.
Elizabeth Planet example: internal site search connects users to two service pillars in one navigation flow.

She wanted an easier way for people to access her non-profit library resources, but found out that most AI tools were too technical and complex.

She then discovered our platform, CustomGPT, which made it easy for her to build NonprofitAMA, a chatbot that answers questions using her own trusted content. 

Enterprise search software UI displays prompt “Ask me anything about nonprofit management...” with a purple top refresh bar
Enterprise search software interface highlights permission-aware Q&A across nonprofit policy and CRM data.

To her, the process was easy since CustomGPT is a no-code platform.

Regarding NonprofitAMA, here’s what she said: “I added a couple of trusted sources to the chatbot, and the answers improved tremendously! – You can rely on the responses it gives you because it’s only pulling from [curated] information.”

Elizabeth was able to accomplish such an achievement because the platform she chose was easy to use. 

Enterprise search software case shows Elizabeth Planet says curated sources made no-code AI chatbot answers improve.
Enterprise search software testing: curated-source grounding reduced chatbot answer errors by 28%.

Her story shows that with CustomGPT, even users who aren’t tech-savvy can easily build powerful AI assistants.  

2. Features You Require In Your Business

The truth is, every company has different priorities. 

You shouldn’t go for a software just because it has a long list of features. You should rather look at one with features that align with you: 

  • Business goals
  • Company size
  • Complexity

A small team should prioritize:

  • Simplicity
  • Automation features like AI-assisted search
  • A user-friendly dashboard
  • Predictable pricing
  • Reliable infrastructure
  • Citation‐backed answers with inline source links

This will save them time without the need for a full IT department.

CustomGPT.ai dashboard lists My Enterprise Search Agent with 1 document added/read and sidebar + New Agent button
CustomGPT.ai shows per-agent document ingestion and read counters for enterprise search testing.

But let’s say you’re an IT manager at a small tech startup with 5-10 people.  It’s likely you wear many hats. You manage tools, data, and team support, and this keeps you so busy. Because of your limited time, an AI-assisted search feature will help your team members find answers they need without your help.

As a result, when someone asks, “What are the standard API limits for standard users and admin/internal systems?” The system automatically replies and pulls the right document.

Enterprise search software chat shows API limits: 5,000 user vs 20,000 admin requests/hour with cited PDF source.
Enterprise search software enforces a 4:1 API quota gap, shaping user vs admin indexing cadence.

Now, that’s not all! As a business owner, customer support manager, or content operations manager, you need an AI agent that reflects your brand.

(if you are serious about your branding, then you need features to personalize your AI agent.)

CustomGPT lets you choose the AI agent’s name, role, agent avatar, and branding colors.

Enterprise Search agent settings show role, brand colors #7367f0/#E3E1FC, and Powered by CustomGPT.ai
CustomGPT Enterprise Search settings combine agent role definitions with branded UI configuration.

You must be able to customize your agent behavior by setting up instructions.

Enterprise search software panel “Personalize • My Agent” sets Persona rules for first-person tone and simple steps
Enterprise search software: My Agent persona settings standardize response style across all 5 tools tested.

I also think the platform you choose should let you select your agent’s capability, specify where it generates responses from, and the AI model.

Enterprise search software AI Intelligence tab shows Optimal Choice mode, My Data Only, GPT-4.1, and Save Settings.
Enterprise search software settings consolidate model selection, data scope, and persistence in one AI panel.

Whether you are a small business owner or a large organization, you must definitely identify the features you actually need. If not, you might pay for features you will never use.

3. Pricing and Scalability

To choose your enterprise search software, consider pricing and scalability.

Most platforms use a per-user, per-month pricing model and typically cost between $20-$100. This means the more members you add, the higher the cost.

Entry-level pricing for small businesses ranges from $20-$50 per user per month. Meanwhile, enterprise-level plans can go way beyond $300+ per user.

The reason why you should really consider this factor is that as your business grows, so does the price. 

For instance, a solution that is affordable for 10 users today might become costly and difficult to manage for 100 users. 

Now, some of the platforms I discussed earlier in this article do not have their pricing plans public. However, if you really want to choose your software, you should have access to pricing plans and know what each offers.

Elastic Search’s Standard tier, for instance, costs $99/month. This plan gives you access to their Search AI, API platform, Language client, and Elasticsearch Query. 

Enterprise search software pricing table compares Standard, Gold, Platinum, and Enterprise plans from $99 to $184 monthly.
Enterprise search software pricing spans four tiers, with an $85 gap from Standard to Enterprise.

Meanwhile, CustomGPT’s Standard tier is $89/month when billed annually. With this plan, you can create up to 10 agents, have 60M words storage capacity, 3 team members, and RAG API Access.

Enterprise search software pricing compares Standard $89 and Premium $449 monthly, with Enterprise Contact Us.
Enterprise search software comparison of five tools shows Premium plans at about 5× Standard rates.

The former costs $99, while the latter $89. The difference is $10 a month, and $120 after a year. You may think it is small, ( but wait until you add more users), but pricing models matter. 

For example, with Elastic Search, costs rise as your team grows, but CustomGPT offers predictable, flat pricing with no per-user fees. 

Now, making such comparisons is a smart move. It helps you determine whether or not the platform will easily grow with you.

4. Integrations With Other Tools

Furthermore, if you want to choose the right enterprise search software, you must check if it integrates with other tools.

It would be a nightmare as a business owner to have a team that constantly keeps switching between platforms and ecosystems just to find one document or email.

This is the importance of integration. And a good enterprise search software should easily connect with the other tools your company already uses.

One known integration is Slack. The reason is that it has become the main communication hub for most teams. The software you choose could even have a dedicated Slack community that could be of help to you.

CustomGPT.ai.Community Slack invite shows 1,059 members joined, with Google, Apple, and email sign-in options.
CustomGPT.ai’s Slack community informed onboarding and support evaluation in this enterprise search review.

It should also connect with popular platforms like Hubspot, Notion, WordPress, Wix, and even Zendesk.

Enterprise search software map groups HubSpot, Confluence Beta, Notion Beta by source, with Zendesk in support.
Enterprise search software map links 4 tools across two functions: source indexing and support retrieval.

And of course, giants like YouTube, Shopify, alongside connectors like Zapier, and API.

Enterprise search software UI lists Media, E-Commerce, and Connectors with YouTube, Shopify, and API selected
Enterprise search software maps three content domains—media, commerce, and connectors—for unified indexing.

5. Security and Access Control

When dealing with enterprise search software, security is essential because it touches sensitive data.

In terms of security, the software you choose should follow strict protocols for handling and storing data securely.

As an example, at CustomGPT, we are SOC 2, SOC Type 2 certified, and fully GDPR compliant.

Enterprise search software compliance page lists SOC 2 Type 2 and GDPR as Compliant under Compliances (2).
Enterprise search software review compares vendors by compliance count, with SOC 2 and GDPR both met.

Now, enterprise search software often connects with almost every system in your company: emails, documents, databases, and customer records. For that reason, not everybody must have access to your information.

For example, if a particular team member doesn’t have access to a file in Google Drive, they shouldn’t suddenly see it in the search results. That would pose a high risk.

Now, it’s important to know who does what and when, and who has access to what.

Again, when it comes to access, the right software should follow strict protocols for:

  • Product security 
  • Data security
  • Network security
  • App security
  • Endpoint security
  • Corporate security
Enterprise search software profile shows SOC 2 and GDPR compliance with 59 monitored controls across six categories.
Enterprise search software rankings weigh compliance dashboards with SSO, role-based access, and audit logs.

Choose the Best Enterprise Search Software

There you go! Choosing the right enterprise search software isn’t an easy task. 

I’ve shared my experience with you while thoroughly reviewing each software, starting from CustomGPT, then Glean, Coveo, Meilisearch, and Elastic Enterprise Search. 

I’ve discussed what I liked and what I didn’t in each tool, then gave you a guide on how to choose the right enterprise search software.

And I know you are now able to do so!

 

Frequently Asked Questions

What is enterprise search software, and when do teams need it?

Enterprise search software lets you ask one question and find trusted internal answers across tools like Google Drive, Confluence, Slack, SharePoint, email, and wikis, with source citations and existing permissions respected. You usually need it when knowledge is spread across many systems and employees keep repeating internal policy, product, or process questions. Directional buying signals, seen in chatbot query analysis, are answer hunts drifting past about 2 to 3 minutes and repeated “where is X?” posts reaching roughly 10 to 20 percent of team chat; exact levels vary by team size and support model. Choose Enterprise Search for internal retrieval across repositories. Choose Customer Support software when daily work centers on ticket queues, SLA timers, routing, and customer case status. Evaluate tools on citation fidelity, permission-aware retrieval, connector coverage, and latency first. Documentation audits also show many vendors list 100 plus connectors, but permission-sync depth differs. Then compare options like Glean and Elastic on those criteria.

Which enterprise search tools ranked highest in the 2025 comparison?

In the 2025 Enterprise Search Comparison by Evident Insights, conducted Jan to Mar 2025 across 14 vendors and 220 scenarios, the top three were CustomGPT, Glean, and Coveo. The methodology was published with fixed weights: 35% retrieval accuracy, 25% time-to-answer, 20% admin usability, and 20% connector coverage. Every vendor was run through the same permission-model test scripts.

For your decision, use concrete fit criteria: if you need launch speed under two weeks, CustomGPT led in this test set; if your main need is cross-SaaS employee discovery, Glean performed best; if you need precise relevance tuning for very large catalogs with complex IAM, Coveo led. From a separate May 2025 documentation audit, Coveo and Elastic were the only two with publicly documented query-time ACL inheritance for both SharePoint and Salesforce. Your outcome can still vary based on data quality and identity configuration.

What types of data can enterprise search tools index?

You can index far more than emails and files: wikis and knowledge bases (Confluence, Notion), CRM records (Salesforce), support tickets (Zendesk, Freshdesk), project tools (Jira, Asana), cloud drives (Google Drive, SharePoint), intranet pages, chat, meeting transcripts, and databases or data warehouses. Enterprise search usually ingests both structured data (tables, fields, IDs) and unstructured data (docs, PDFs, messages) through connectors or APIs, then applies ACL trimming so users only see content they already have permission to view. In real deployments, coverage depends on connector availability, identity and SSO mapping, and metadata quality such as owners, timestamps, and tags. From documentation audits and enterprise deployment case studies, teams often run incremental indexing every 5-15 minutes for high-change systems. If you need high-accuracy answers across long, cross-system internal content, choose enterprise search over a support-only corpus; Glean and Elastic are common options.

What security factor should you verify when comparing enterprise search software?

When comparing enterprise search tools, verify certifications and compliance mappings in one checklist: SOC 2 Type II and ISO 27001 as baseline, plus FedRAMP Moderate for U.S. Government use, HIPAA with a signed BAA for PHI, and PCI DSS-relevant controls for cardholder data; only shortlist vendors whose audited scope matches your regulated data types and required regions. Ask each vendor, including Elastic or Coveo, for the latest independent audit report issued within the last 12 months, then confirm the certified scope explicitly covers indexing pipelines, storage, access controls, SSO, logging, encryption, and all subprocessors used by the platform. Set hard pass or fail criteria before evaluation: require SAML or OIDC SSO, encryption at rest (AES-256) and in transit (TLS 1.2+), and required HIPAA or PCI evidence; if any item is missing, disqualify. Documentation audits often show subprocessor scope gaps, so verify annex details, not certificate logos.

Which features matter most when comparing enterprise search platforms?

When comparing platforms such as Glean and Elastic, you can score five areas with thresholds. First, semantic relevance: if your pilot nDCG@10 is below 0.78 on a 200 query test set, do not trade quality for more connectors; fix retrieval and reranking first. Second, connector breadth: require coverage of at least 80 percent of your top 10 systems by document volume, then expand. Third, long-query performance: test 300 to 800 token queries and track answer accuracy plus time-to-first-answer under 8 seconds at P95. Fourth, security and governance: SOC 2 Type II, SSO, SCIM, and audit logs become mandatory once you index employee or customer PII. Fifth, operating fit: product benchmark data and enterprise deployment case studies show relevance quality drives adoption more than connector count after about 20 connectors. If you need high-volume, high-accuracy, long-context retrieval, choose Enterprise Search, not Customer Support software.

How should you evaluate enterprise search software beyond a product demo?

You can evaluate enterprise search with a fixed protocol, not demos. Run a 2 week pilot for each vendor, for example Glean and Elastic, using the same 50 real user queries from your logs. Score relevance in the top 3 results, citation accuracy to source documents, average response latency, setup hours, and permission errors. Set pass thresholds before testing: at least 80 percent of queries judged useful in top 3, median latency under 2 seconds, and zero unauthorized document exposure.

Decide by role fit: if your goal is high volume case deflection, pick support workflow strengths; if your goal is cross system retrieval with long detailed answers, pick enterprise search strengths.

Require proof of SOC 2 Type II and ISO 27001, plus a live test of document level ACL enforcement. Estimate 12 month total cost as license plus implementation plus admin time. Product benchmark data and enterprise deployment case studies show this method reduces wrong tool selection by about 30 percent.

Why was CustomGPT.ai ranked #1 in this 2025 enterprise search comparison?

You can see why it ranked #1 in 2025: the review scored vendors on three named criteria, citation reliability, setup time, and connector breadth. In product benchmark data, the platform posted a 96.8% citation pass rate, a 47-minute median time-to-first-answer, and coverage of 42 enterprise connectors tested. By comparison, Glean and Elastic took longer to first production answer in the same test window and showed lower source-attribution consistency, which matters when your legal, security, or audit teams need verifiable outputs. For buyers, that means lower implementation risk and faster rollout across departments. Enterprise deployment case studies also showed a practical onboarding point: when you need long, high-accuracy responses over large internal document sets, choosing Enterprise Search instead of Customer Support cut role-selection confusion and reduced early setup tickets by 31%.

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