Alternatives/Freshdesk Freddy AI
Comparison

BeforeQuery vs Freshdesk Freddy AI

Freddy is Freshworks' native AI — great if you're on Freshdesk. BeforeQuery is helpdesk-agnostic: Support Ticket AI runs inside Freshdesk (and every other major helpdesk), and the same knowledge base powers a widget, Slack / Discord / Teams bots, and MCP.

Feature comparison

Information about Freshdesk Freddy AI is drawn from Freshworks' public product and pricing pages.

Feature
BeforeQuery
Freshdesk Freddy AI
Helpdesk lock-in
Zendesk, Freshdesk, Front, Intercom, Jira Service Management, Linear, Salesforce Service Cloud
Freshdesk / Freshworks suite only
Pricing model
Flat: Free / $99 Pro / Enterprise custom
Add-on to Freshdesk seats + per-session limits on Freddy Copilot
Public web widget
Yes — hosted, themeable, reCAPTCHA, hide-branding on Enterprise
Freshchat widget
Slack bot
Yes — /askai + @mention, forum auto-reply, thumbs feedback
Freshdesk Slack integration surfaces tickets; not standalone AI Q&A
Discord bot
Yes — mentions, forum auto-reply, slash commands
Not documented
Microsoft Teams bot
Yes
Not documented
MCP server (Cursor / Claude / ChatGPT)
Yes — per-knowledge-base endpoint
Not documented
Support Ticket AI inside Freshdesk
Yes — copilot drafts + auto-resolution, grounded in your indexed knowledge across all sources
Yes — retrieval scoped to Freshdesk knowledge base + articles
Source connectors
18: websites, GitHub/GitLab, Notion, Confluence, Google Drive, SharePoint, Zendesk, Jira, Linear, Salesforce, Shopify, Slack, Discourse, Stack Overflow, YouTube, files
Freshdesk KB + Freshworks-suite content + limited external ingest
Retrieval
Hybrid: pgvector + BM25, RRF fusion, LLM query rewrite, cross-encoder reranking, abstention
Vector + keyword within Freshdesk articles
AI evals
Automated LLM-as-judge groundedness + citation scoring, exportable via API
Freshdesk Analytics reporting
Free tier
Yes — 100 questions/month, no credit card
AI features gated by Freshdesk paid tiers

Where BeforeQuery focuses differently

Not locked to Freshdesk

Freddy is Freshworks-only. If you use another helpdesk, or use several, or ever migrate — Freddy doesn't come with you. BeforeQuery's Support Ticket AI runs inside every major helpdesk, so the AI outlasts the helpdesk decision.

Same knowledge base beyond the helpdesk

Freddy answers inside Freshdesk. BeforeQuery answers on your docs widget, in Slack / Discord / Teams bots, and inside AI IDEs via MCP — all from the same knowledge base.

Broader source coverage

Freddy retrieves from Freshdesk KB articles. BeforeQuery indexes 18 source types including GitHub, Notion, Confluence, Google Drive, SharePoint, Salesforce, and every major helpdesk (including Freshdesk tickets themselves) — internal knowledge as well as customer docs.

Flat pricing with public tiers

Freddy is priced as an add-on to Freshdesk seats plus per-session limits. BeforeQuery has flat monthly pricing (Free / $99 Pro / Enterprise) with clear included quotas — predictable regardless of ticket volume.

Frequently asked questions

Can BeforeQuery replace Freshdesk Freddy?

If you use Freshdesk, yes — BeforeQuery's Support Ticket AI runs inside Freshdesk (as copilot drafts and auto-resolution) with a knowledge base that spans Freshdesk articles, product docs, GitHub, Notion, and more. If you use another helpdesk or several, BeforeQuery covers all of them; Freddy covers only Freshworks.

How does pricing compare?

Freddy is priced as an add-on to Freshdesk suite seats plus per-session limits on Copilot. BeforeQuery is flat monthly: Free (100 questions), Pro $99/mo (1,000 questions, 5 KBs), Enterprise custom.

Do I need to leave Freshdesk to use BeforeQuery?

No. BeforeQuery indexes Freshdesk (KB + tickets) as a source and runs Support Ticket AI inside Freshdesk as copilot / auto-resolution. You keep Freshdesk; you gain a knowledge base that also serves your widget, Slack, Teams, and AI IDEs.

How does answer quality compare?

BeforeQuery layers full-text (BM25) and reciprocal rank fusion on top of vector search, rewrites the query with an LLM before search, and reranks with a cross-encoder. An abstention gate refuses low-confidence questions. LLM-as-judge evals score every answer for groundedness.

Is my data used to train models?

No. Your connected 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

Connect your docs and get your first AI-powered answer in under 5 minutes. No credit card required.