SearchUnify Cognitive Search Pricing Overview

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Averages based on real user reviews.

SearchUnify Cognitive Search Pricing Reviews

(2)
Tony C.
TC
Mid-Market (51-1000 emp.)
"An excellent solution for searching across multiple content sources and collecting insight analytics"
What do you like best about SearchUnify Cognitive Search?

We deployed SearchUnify to provide federated search for our SFDC community, and even with prior experience on our team, the rollout exceeded expectations. Implementation was fast with minimal lift from us: onboarding captured requirements, shared a clear plan, and handled the backend while coordinating smoothly with our Grazitti Salesforce team. We tested in a sandbox, made small tweaks, then moved to production; post‑launch, admins got a quick console walkthrough. Support is responsive and escalates when needed. We’re pleased with the results and are expanding into case deflection and chatbot use cases—expect quick time‑to‑value and low operational overhead. Review collected by and hosted on G2.com.

What do you dislike about SearchUnify Cognitive Search?

The solution is very full-featured and complex but has allowed us to really deep dive into our content gap analysis and improve the customer experience. We continue to leverage new ways of providing reccomendations to the customer via our community and even via email support requests. We are also aware of our content gaps and are able to prioritize areas for improvement. As we move forward, we are keen to enhance our search features with AI and customer self-service. Review collected by and hosted on G2.com.

Verified User in Construction
AC
Mid-Market (51-1000 emp.)
"SearchUnify for our Support Site, and AI Summary of Search Results. "
What do you like best about SearchUnify Cognitive Search?

Keyword Search Tuning has been very effective and directing users t the best available content. Review collected by and hosted on G2.com.

What do you dislike about SearchUnify Cognitive Search?

We've tried switching over to the newer Vector based Search model, but were unable to get the same success rate as Keyword boosting. We're waiting on an update which should address this. Review collected by and hosted on G2.com.

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