SearchUnify
6.5/10Agentic AI and enterprise search platform from Grazitti Interactive. It unifies support knowledge and runs AI agents, virtual assistants, and generative answers for customer support organizations.
Data last updated November 2026 · Our methodology
Overview
SearchUnify is built for support operations. It connects scattered knowledge sources, such as Salesforce, ServiceNow, Zendesk, Khoros, SharePoint, Confluence, Jira, Slack, and MadCap Flare, into one permission-aware index. It then puts AI on top of that index. The current Agentic AI Suite includes AI agents for L1 customer answers, L2 troubleshooting help for reps, escalation prediction, case classification and routing by skill, knowledge creation, and case quality auditing. It also includes the SUVA virtual assistant, the Knowbler knowledge management tool with KCS support, and SearchUnifyGPT, which writes direct answers using the company's federated retrieval-augmented generation approach (FRAG). The platform does not depend on one AI model. Admins can connect their own OpenAI, Azure OpenAI, Gemini, Anthropic, or AWS Bedrock keys, or use a Bedrock option provisioned by SearchUnify. The vendor states SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliance. It suits mid-market and enterprise support teams, especially those built around Salesforce or ServiceNow that want case deflection and help for their reps, more than general-purpose content work. Pricing is quote-based and no price list is published. An AWS Marketplace listing charges per search request, and third-party sources put typical annual contracts in the tens of thousands of dollars. Reviewers praise the support team and the analytics on content gaps. The main limitation is the effort involved: setup and search tuning need a technically capable admin, crawl and indexing delays frustrate some customers, and the cost and complexity are hard to justify for small teams.
Our Rating
Who SearchUnify is best for
Best software for Customer Support TeamsGood fit
The agents, case deflection, escalation prediction, and rep tools are all designed for support operations.
It offers 40+ connectors, permission-aware retrieval, SOC 2 and ISO 27001 compliance, and enterprise-style contracts.
Reviewers and listed customers include software companies that run self-service support portals and communities.
Less suited
The vendor added banking, financial services, and insurance agents in 2026 and states HIPAA and GDPR compliance, though evidence of industry depth is limited.
It scales down to mid-sized support teams, but it still needs dedicated admin ownership and a custom budget.
There is no free or self-serve tier, and reviewers say the cost and setup effort are too heavy for small teams.
Pros & Cons
Pros
- A broad set of agents for specific support jobs, including L1 answers, L2 help for reps, escalation prediction, classification and routing, and case quality auditing, all on one shared knowledge layer.
- Native clients for Salesforce Service Console, ServiceNow, Zendesk, Khoros, and Slack fit into existing support desks.
- Not tied to one AI model: admins can plug in OpenAI, Azure OpenAI, Gemini, Anthropic, or AWS Bedrock keys. DeepSeek support was announced in 2025.
- Reviewers on G2, Capterra, and RFP.wiki repeatedly praise the support team, the customer success managers, and the analytics on content gaps and case deflection.
- Retrieval respects existing permissions and cites its sources, and the vendor states SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliance.
Cons
- No public pricing and no self-serve tier. Third-party estimates put contracts at thousands of dollars per month, and one comparison cites reviews of yearly price increases.
- Initial configuration and search tuning need technical ownership, and G2 reviewers describe tuning as complicated.
- Some customers report delays in crawling and indexing new content.
- Customizing ranking and display can need custom work beyond the admin console.
- A competitor's comparison says there is no on-premise or air-gapped option, and we found no official source confirming self-hosting.
Key Features
SearchUnify Pricing
Enterprise (custom quote)
- Search and content-gap analytics
- Quote-based pricing through sales
- SearchUnifyGPT generative answers
- Agentic AI Suite with support agents
- Cognitive search across 40+ connectors
- Bring your own LLM or partner-provisioned AWS Bedrock
Enterprise Search (AWS Marketplace)
- 60+ out-of-the-box data sources
- Not priced by users or data sources
- Usage-based, priced per search request
- Subscription can be cancelled at any time
- ML ranking, predictive search, and analytics
Frequently Asked Questions
No. Enterprise deals are quote-based. An AWS Marketplace listing for SearchUnify Enterprise Search charges per search request: $0.025 up to 100K searches a month, $0.015 up to 200K, and $0.01 up to 300K.
There is no free plan. Third-party listings mention a 7-day trial limited to two content sources, and the partner-provisioned AWS Bedrock LLM comes with a 14-day trial. Confirm current trial terms with sales.
The bring-your-own-LLM settings support OpenAI, Azure OpenAI, Google Gemini, Anthropic, and AWS Bedrock. SearchUnify also offers a partner-provisioned Bedrock option, and token use is tracked in LLM Usage Insights.
The vendor cites 40+ connectors and support for MCP. Named integrations include Salesforce and Agentforce, ServiceNow, Zendesk, Khoros, Slack, SharePoint, Confluence, Jira, and MadCap Flare.
SearchUnify states SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliance. It also states that retrieval inherits existing permissions, cites sources, and keeps audit trails.
Yes. REST APIs for content, search, and analytics are available to all customers. They use OAuth-style access tokens that expire every four hours, and each instance has Swagger documentation.
Estimates vary. A competitor's comparison cites 7 to 14 days with pre-built connectors, while an independent review says complex deployments can take one to three months.
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