Prompt

Can you help me compare enterprise search tools for a company that has docs in SharePoint, messages in Slack, tickets in Jira, and notes in Google Drive? I care about permissions, citations, and how quickly we can connect sources.

Technology / Search & Discovery Tools1 observationLast seen Oct 13, 2026

Latest observation

Oct 13, 2026OpenAI APIWeb search: off

Yes — for your mix of sources (SharePoint, Slack, Jira, Google Drive), the main things to compare are:

  1. Permission fidelity: does the tool enforce source-level and item-level ACLs exactly?
  2. Citations / source grounding: can results show the exact doc/message/ticket and link back cleanly?
  3. Time to connect sources: how fast you can get all four systems indexed and usable.

Short list of strong candidates

1) Glean

Best overall for enterprise search across many SaaS tools.

  • Permissions: Strong. Usually one of the better options for respecting native permissions across connected apps.
  • Citations: Strong. Good at showing source snippets and direct links back to the content.
  • Time to connect: Fast. Typically quick to deploy connectors and start getting value.
  • Good for: Companies that want a polished employee search experience with broad app support.

Watch-outs: Pricing can be high; customization/control is less flexible than building your own.


2) Coveo

Best if you want enterprise-grade relevance and more configurability.

  • Permissions: Strong, especially in enterprise settings.
  • Citations: Good, especially when paired with search experiences you design.
  • Time to connect: Moderate. Connectors exist, but setup/tuning can take longer than simpler tools.
  • Good for: Larger orgs that care about relevance tuning and complex enterprise search workflows.

Watch-outs: More implementation effort than “plug-and-play” tools.


3) Elastic / OpenSearch-based solution

Best if you need maximum control and already have engineering support.

  • Permissions: Can be excellent, but depends entirely on your implementation.
  • Citations: Can be very good, but you need to build it well.
  • Time to connect: Slower. You’ll need connectors, permission sync, indexing pipelines, and UI/search logic.
  • Good for: Teams that want control over ranking, citation format, and data handling.

Watch-outs: Highest build/maintenance cost.


4) Microsoft Search / Copilot search stack

Best if most of your stack is Microsoft-centric.

  • Permissions: Very strong for SharePoint and M365 content.
  • Citations: Good within Microsoft ecosystems.
  • Time to connect: Fast for SharePoint; weaker/more mixed for Slack and Jira.
  • Good for: Microsoft-heavy environments.

Watch-outs: Less ideal if Slack/Jira are equally important.


5) Atlassian Rovo / Atlassian search ecosystem

Best if Jira is the central system.

  • Permissions: Strong for Atlassian content.
  • Citations: Good within Atlassian context.
  • Time to connect: Fast for Jira/Confluence, weaker for SharePoint/Google Drive/Slack depending on setup.
  • Good for: Atlassian-first organizations.

Watch-outs: Not usually the best “all systems” enterprise search layer.


What matters most for your use case

Permissions

You want a tool that does source-native authorization sync, meaning:

  • SharePoint item permissions
  • Slack channel/private message visibility
  • Jira project/issue permissions
  • Google Drive file/folder sharing permissions

Avoid tools that only index content without syncing ACLs properly. That can create security risk and user distrust.

Citations

Look for:

  • Direct links to the exact doc/message/ticket
  • Snippets with highlighted answer evidence
  • Ability to show multiple supporting sources
  • Timestamps and source labels

This is especially important if you want the search to power AI answers or internal Q&A.

Fast connection

You want:

  • Native connectors for all 4 systems
  • Minimal custom API work
  • Incremental sync
  • Clear admin setup for OAuth/admin consent
  • Support for permissions indexing at ingestion time

My practical ranking for your requirements

If I had to rank by your priorities:

If you want the best balance:

  1. Glean
  2. Coveo
  3. Microsoft Search (if Microsoft-heavy)
  4. Elastic/OpenSearch (if you have engineering resources)

If permission accuracy is the top priority:

  1. Glean
  2. Coveo
  3. Microsoft Search for SharePoint-centric orgs
  4. Custom stack

If fastest rollout matters most:

  1. Glean
  2. Microsoft Search for Microsoft content
  3. Coveo
  4. Custom stack

Suggested evaluation checklist

During a pilot, ask each vendor to show:

  • Can you connect SharePoint, Slack, Jira, and Google Drive in under a week?
  • Do you index and enforce document-level and message-level permissions?
  • Can a user only see results they are allowed to open?
  • Do search answers include citations with direct links?
  • How are private Slack channels and direct messages handled?
  • How are Google Drive shared links and folder inheritance handled?
  • Can Jira issue visibility, project roles, and issue security levels be respected?
  • How much admin work is required for each connector?
  • What is the freshness SLA for re-indexing?

My recommendation

If you want the most likely “good default” choice: Glean.
If you want deeper enterprise customization and can tolerate more setup: Coveo.
If you have strong internal engineering and want full control: Elastic/OpenSearch.

If you want, I can also turn this into a side-by-side comparison table with columns for:

  • permissions
  • citations
  • connector maturity for SharePoint/Slack/Jira/Drive
  • implementation effort
  • best fit

Or I can give you a vendor shortlist with pros/cons and demo questions tailored to your company size and budget.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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