Prompt
Can you recommend a unified search platform for support teams finding answers across tickets, docs, and knowledge bases?
Latest observation
Yes — for support teams that need to search across tickets, internal docs, and knowledge bases, I’d recommend looking at a unified enterprise search platform rather than a basic helpdesk search.
Top recommendation: Glean
Why it fits support teams well:
- Searches across many sources at once: Zendesk, Jira, Confluence, Google Drive, Notion, Slack, SharePoint, and more
- Good at surfacing the most relevant answer fast, even when the info is spread across tools
- Works well for internal knowledge discovery and can reduce time spent asking teammates for help
- Strong permissions handling, so people only see content they’re allowed to access
Best for: teams that already use several tools and want a modern “Google for work” experience.
Other strong options
Coveo
- Excellent for customer support and self-service use cases
- Strong relevance tuning and enterprise search capabilities
- Good if you want search to power both agent assistance and customer-facing help centers
Best for: larger support orgs with more advanced search/relevance needs.
Elastic Enterprise Search
- Very flexible and powerful
- Can unify lots of data sources, but usually needs more setup and technical ownership
- Better if you have engineering resources and want customization
Best for: technical teams that want maximum control.
Guru
- More knowledge base + AI answer layer than full enterprise search
- Great for capturing verified internal answers and making them easy to reuse
- Useful if most of the need is internal team knowledge, not broad indexing
Best for: support teams focused on agent knowledge and curated answers.
Moveworks
- Strong AI assistant for employee support
- More focused on automation and conversational support than pure search
- Often used in internal IT/HR support, but can overlap with support ops
Best for: organizations wanting AI-driven assistance and workflows.
Quick recommendation by use case
- Best overall unified search: Glean
- Best for customer support/deflection: Coveo
- Best for curated internal answers: Guru
- Best for deep customization: Elastic
- Best for AI assistant/workflows: Moveworks
What to check before buying
Make sure the platform can:
- Connect to your actual sources: ticketing system, docs, KB, chat, drive
- Respect source permissions
- Rank results by freshness and confidence
- Show answer snippets, not just links
- Support analytics: what agents searched, what was found, what wasn’t
- Offer easy admin setup and relevance tuning
If you want, I can also give you:
- a shortlist by team size/budget
- a comparison table
- or recommendations based on the tools you already use (e.g., Zendesk + Confluence + Slack).
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.