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SearchUnify

by SearchUnifyNo ratings yet

Purpose-built AI support agents grounded in enterprise knowledge

Visit searchunify.com

Linked from searchunify.com · checked 29 Oct

Tool type
Enterprise AI support agents and MCP server
Made for
Enterprise support teams and developers
Runs on
Web-based support platform and MCP clients
Agents operate inside customer portals, chat, email, voice, and agent desks; MCP server supports hosted, remote, local, or Docker deployment.
Last checked
29 Oct 2026
4 product sources

What it does

SearchUnify is an enterprise customer-support product that connects to systems such as CRM, ticketing, knowledge bases, product docs, community forums, and telemetry, then uses purpose-built AI agents to answer customers, draft replies for reps, route tickets, flag escalations, audit closed cases, and draft knowledge articles. Agents retrieve from connected sources before acting, cite what they used, and hand off to a person when no reliable source exists.

Teams deploy the specific agents they need, such as an L1 support agent, an Agent Partner that works beside reps, a routing agent, a case quality auditor, and a knowledge agent, scoped to chosen topics. Listed connectors include Salesforce, ServiceNow, Zendesk, Jira, Slack, and Confluence, plus more than 40 others. A separate MCP server exposes SearchUnify knowledge, search intelligence, and analytics to MCP-compatible AI assistants.

The product suits enterprise support organizations evaluating AI for ticket deflection, agent assist, and quality review. Access starts with a demo or expert consultation. Outcome figures on the site are aggregated from vendor case studies, and the MCP server requires a SearchUnify instance and credentials.

What it can do

  • Answer customer questions with retrieved, cited sources from connected knowledge bases and docs
  • Draft replies and case summaries for support reps, with rep approval before sending
  • Classify and route tickets to the right queue or rep based on intent and expertise
  • Flag escalation risk and alert managers before cases escalate
  • Audit closed cases against quality metrics and surface coaching insights
  • Expose enterprise knowledge and search analytics to MCP-compatible AI assistants

Works with

  • Salesforce
  • ServiceNow
  • Zendesk
  • Jira
  • Slack
  • Confluence
  • ELK
  • Zoomin
  • Khoros
  • 40+ additional connectors and MCP

Before you choose

  • Outcome figures (deflection, escalations, resolution time, CSAT, renewals) are aggregated from vendor case studies and are not guarantees.
  • Access requires a SearchUnify instance; MCP retrieval is limited to data the configured permissions allow.
  • Pricing and per-agent packaging are not published; confirm scope and cost with the vendor.

Listed under

Get started

Book a demo or talk to an expert to get started.

  1. Book a demo or talk to an expert to scope use cases and connect a sandbox to your knowledge.
  2. Connect your existing CRM, ticketing, knowledge base, and docs using prebuilt connectors; no knowledge migration is described.
  3. Deploy the specific agents you need, scoped to chosen topics, and configure approval and handoff thresholds.
  4. For MCP access, configure SearchUnify MCP with your SearchUnify instance and authentication credentials, then connect an MCP-compatible AI platform.
Book a demo

Plans and prices

Cost is not listed publicly. Buyers should request pricing for the agents and connectors they need via a demo or expert consultation.

We couldn’t find published prices for SearchUnify.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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What’s changed

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Signals

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Data and security

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Where this comes from

How we research
Company website
searchunify.com: product, pricing and policy pages
YC directory mirror
Batch and company name
Social accounts
Accounts the company links, and its posts on X
Human review
Checked by a person
knowledge_base
manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.