Alternatives/Gemini for Google Workspace
Comparison

BeforeQuery vs Gemini for Google Workspace

Gemini for Google Workspace is Google's AI inside Gmail, Docs, Drive, Meet, and Chat — deeply integrated for organisations standardised on Workspace. BeforeQuery is a docs and support assistant that spans 18 source types (Drive is one) and surfaces answers on a widget, Slack / Discord / Teams bots, MCP, and inside every major helpdesk.

Feature comparison

Information about Gemini for Google Workspace is drawn from Google's public product pages.

Feature
BeforeQuery
Gemini for Google Workspace
Source scope
18 connectors: Google Drive, Notion, Confluence, SharePoint, websites, GitHub/GitLab, Zendesk, Jira, Linear, Salesforce, Shopify, Slack, Discourse, Stack Overflow, YouTube, files
Google Workspace content (Gmail, Docs, Drive, Sheets, Slides, Calendar, Meet)
Customer-facing use
Yes — hosted widget on your product site, per-KB permissions
Internal only — Gemini answers your employees inside Workspace
Slack bot
Yes — /askai + @mention, forum auto-reply, thumbs feedback
Not applicable (Google Chat only)
Discord bot
Yes
No
Microsoft Teams bot
Yes
No
MCP server (Cursor / Claude / ChatGPT)
Yes — per-knowledge-base endpoint
Not documented
Support Ticket AI (in helpdesk)
Yes — Zendesk, Freshdesk, Front, Intercom, Jira SM, Linear, Salesforce
No
Form deflector (before ticket submit)
Yes — standalone, confidence-scored
No
Retrieval
Hybrid: pgvector + BM25, RRF fusion, LLM query rewrite, cross-encoder reranking, abstention
Google's own retrieval over your Workspace content
Sources outside Google
Native connectors for 17 non-Google sources
Limited third-party ingestion
Pricing
Free / $99 Pro / Enterprise custom (independent of Workspace)
Add-on to Google Workspace seats

Where BeforeQuery focuses differently

Knowledge isn't only in Google

Gemini for Workspace retrieves from Gmail, Docs, Drive, and other Google surfaces. Real-world knowledge lives across Drive, Confluence, Notion, GitHub, Zendesk, Slack, and files nobody has migrated. BeforeQuery indexes all of them into one knowledge base — Drive is one source among 18, not the whole story.

Customer-facing surfaces

Gemini is internal — it helps employees inside Workspace. BeforeQuery ships a hosted widget for your docs / product site, plus Slack, Discord, and Teams bots for community and customer channels. Workspace-hosted content can be a source; BeforeQuery is the assistant that surfaces it externally.

Multi-helpdesk Support Ticket AI

BeforeQuery runs Support Ticket AI inside Zendesk, Freshdesk, Front, Intercom, Jira SM, Linear, and Salesforce. Gemini's helpdesk story is limited to Google's own tools (Chat, Meet). Different job.

Not locked to a Workspace subscription

Gemini for Workspace is priced as an add-on to Google Workspace seats. BeforeQuery is standalone SaaS with a $0 free tier and a $99 Pro tier — priced by usage, not by Workspace seat count.

Frequently asked questions

Should I use Gemini for Workspace or BeforeQuery?

If your use case is 'help employees do work faster inside Gmail, Docs, and Drive', Gemini is well-suited. If your use case is 'answer questions from our docs on our site, in Slack/Teams/Discord, and inside our helpdesk', BeforeQuery is purpose-built for it. Many teams use both.

Does BeforeQuery index Google Drive and Docs?

Yes. The Google Drive connector indexes Drive, Docs, Sheets, and Slides, respecting the Drive permissions of the account it's connected under. Files re-sync every 10 minutes.

Can I use Gemini inside Workspace and BeforeQuery for customer-facing?

Yes — they're complementary. Gemini helps employees write emails and summarise Docs; BeforeQuery answers your customers on the widget, in support tools, and via MCP for AI IDEs.

How does pricing compare?

Gemini is priced per Workspace seat. BeforeQuery is flat monthly (Free / $99 Pro / Enterprise) and independent of your Workspace subscription — you don't pay per user for a customer-facing widget.

How is data handled?

Your indexed content and end-user conversations are never used to train models. PII masking runs before every LLM call; zero-retention mode is a per-workspace toggle.

See for yourself

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