At a glance
If you are evaluating a glean alternative for revenue and operations teams, the decision usually comes down to what the platform does after it finds information. Glean built its reputation on enterprise search and workplace search AI — fast, personalized retrieval across the SaaS apps your company already runs. Gyri is an agentic knowledge base built for GTM operators who need more than ranked links.
Gyri delivers four capabilities Glean was not designed to center:
- Federated GTM stack — one query across CRM, email, Slack, and docs, not siloed app-by-app search
- Cited AI answers — synthesis with source citations your reps can trust in customer-facing work
- Context that compounds — a knowledge graph and persisted insights, not chat that resets every session
- MCP agents that write back — Claude, Cursor, and custom agents that update CRM, create insights, and run workflows
Glean wins on permission-aware search relevance at scale, a broad SaaS connector catalog, and a polished Assistant for company-wide findability. Gyri targets RevOps, Sales, CS, and Enablement leaders who need cited operational intelligence that joins CRM stage, email threads, Slack decisions, and support history in one auditable answer.
For adjacent evaluations, see Gyri vs Microsoft Copilot and Gyri vs Guru.
Quick comparison
Legend: ✅ Strong · ⚠️ Partial · ❌ Not native
| Capability | Gyri | Glean |
|---|---|---|
| Federation & search | ||
| Federated search (CRM + comms + docs) | near-real-time sync across Gmail, Slack, Drive, CR… | Broad SaaS index |
| Keyword + semantic hybrid retrieval | exact-match keyword search plus semantic graph ret… | Strong relevance ranking |
| Real-time / webhook ingestion | webhooks and scheduled crawlers keep records current | Near-real-time index |
| Custom API / HTTP connectors | workspace HTTP endpoints and bridge mutations | Connector catalog |
| Knowledge graph & multihop | ||
| Typed entity knowledge graph | people, deals, emails, threads linked as graph nodes | Search index, not ops graph |
| Multihop GraphQL queries | traverse deal → contact → email → ticket in one qu… | Chunk co-location joins |
| Cross-source correlation | joins timing, people, and language across systems | Within indexed corpus |
| Cited answers & trust | ||
| Cited AI answer synthesis | claim-level citations to source records | Source links; doc-centric |
| Audit trail / citation chains | full citation chain back to original sources | Permission-aware retrieval |
| Insight persistence & memory | ||
| Compounding insights | structured insights accumulate across sessions | Index freshness |
| Institutional memory | decisions and context survive employee turnover | Search, not insight objects |
| Version history on knowledge | insight and record versioning | Source versioning |
| MCP agents & delivery | ||
| MCP-native agent endpoint | one MCP surface for Claude, Cursor, custom agents | In-product assistant |
| Workspace-scoped auth & audit | per-workspace permissions and tool visibility | Enterprise SSO/ACL |
| Write-back workflows | ||
| CRM / record write-back | agents update custom records and CRM fields | Growing workflows |
| Agent-driven workflow automation | stored agents and workspace workflows on rails | Glean automations |
| GTM workflows | ||
| Pre-call briefs | cited briefs from CRM + email + support | Find docs; manual join |
| Competitive intelligence | competitor mentions across Slack and email, persis… | Search mentions |
| Churn / CS health signals | support themes joined to account health in CRM | Not CRM-ticket join |
| Sales enablement / battlecards | live cited synthesis vs static wiki cards | Search libraries |
| Implementation & TCO | ||
| Time to value (GTM teams) | Days–weeks · pre-built connectors and graph schema | Fast IT-wide search |
| Connector long-tail maintenance | Managed · Gyri maintains federation layer | Vendor-managed connectors |
| Pricing transparency | Published · see gyri.io/get-started | Enterprise sales |
Where Glean wins
Glean is one of the most mature workplace search AI platforms in the market. Ex-Google search engineers designed ranking, personalization, and ACL-aware retrieval for enterprises with hundreds of SaaS apps.
- Company-wide findability — employees asking "what is our parental leave policy?" or "who owns the Q3 roadmap doc?" get fast, relevant results.
- Broad connector catalog — proven Fortune 500 reference base with vendor-managed integrations.
- Single assistant front door — polished Glean Assistant with centralized AI policy inside one vendor UX.
- Fast IT-wide rollout — connector audit, permission mapping, and company-wide launch follow a proven enterprise search playbook.
If your primary mandate is enterprise search with best-in-class relevance at scale — not cited GTM intelligence — Glean earns its reputation.
Federation & search
Gyri federates operational GTM systems into one queryable layer; Glean federates SaaS content into one search index. Both connect multiple sources, but the architectural outcome differs: Gyri joins CRM records, email threads, Slack messages, and documents as linked entities; Glean returns ranked documents and messages with permission-aware retrieval.
For pre-call research, a rep preparing for a renewal needs deal stage in CRM, the champion's last emails, open support tickets, and Slack threads where pricing was discussed. Glean surfaces each source's best-matching items; Gyri assembles a cited brief from hydrated records across systems in one response. See Federated Search for Business AI.
Glean wins when the mandate is company-wide findability. Gyri wins when GTM teams need operational joins across CRM, comms, and support without a warehouse project first.
Knowledge graph & multihop
Glean retrieves co-located chunks from an index; Gyri traverses a typed knowledge graph with multihop GraphQL. This is the deepest architectural divide between enterprise search and an agentic knowledge base.
Glean finds the best-matching content items. Related records may appear together if they share keywords or embedding proximity, but there is no native graph of deals, contacts, emails, and tickets. Questions like "which open opportunities over $50K have champions who went quiet in email after a P1 support escalation?" require manual correlation across search results.
Gyri models connected sources as typed graph nodes — people, deals, emails, Slack threads, support tickets, insights — linked through explicit bridges. Multihop GraphQL traverses deal → contact → email → ticket in one request. See Multihop GraphQL for Business Intelligence.
Glean accelerates finding documents that might contain answers. Gyri answers relational questions directly — with citations to each record in the traversal path.
Cited answers, persistence, and trust
Gyri attaches claim-level citations to every synthesized answer; Glean links to source documents with lighter audit chains. Revenue teams face a higher trust bar — answers go to customers, executives, and legal review.
Glean Assistant cites sources in many workflows, typically linking back to indexed documents and messages. Synthesis across many sources can produce summaries where the user must click through multiple citations to validate each clause.
Gyri treats AI answers with citations as a default. Synthesis pulls from hydrated records and attaches citations at the claim level — so operators can audit why the model said "this account is at risk" by tracing each sentence to specific CRM fields, email messages, or Slack threads.
On insight persistence, Glean's index continuously refreshes from source systems — valuable for keeping documents current. Gyri stores typed insights in the workspace graph: competitive dossiers, account health narratives, and research conclusions that accumulate across agent runs and human sessions. When an AE departs, Gyri retains the graph of what happened on their accounts — not just the documents they happened to index. See Institutional Memory When Employees Leave.
MCP agents, write-back, and GTM scenarios
Gyri exposes company context through MCP for Claude, Cursor, and custom agents; Glean delivers agents inside its own Assistant ecosystem. Glean agents support growing workflow actions — creating tickets, scheduling meetings, suggesting follow-ups inside connected apps. Gyri agents write back into GTM systems with admin-defined guardrails: creating typed insights, updating custom records, and triggering workspace workflows. See MCP for Business Agents and Agents That Write Back.
| Scenario | Glean | Gyri |
|---|---|---|
| Pre-call briefs | Search CRM, email, Slack separately; assemble narrative | One cited brief with deal stage, champion engagement, tickets |
| Competitive intel | Surface relevant Slack messages and docs | Federate mentions, correlate to opportunities, persist insights |
| Churn signals | Search tickets and CRM separately | Join support themes, email tone, and CRM health in one synthesis |
| Write-back | Find doc → create ticket | Analyze loss → persist competitive insight → update battlecard |
Glean wins when a single assistant front door inside one vendor UX is the requirement. Gyri wins when operators want agents in the tools they already use — all sharing one company graph with consistent permissions.
Implementation & TCO
Glean optimizes for fast IT-wide search rollout; Gyri optimizes for a GTM wedge that proves cited federation value in the first week.
Glean typically sells annual enterprise contracts with seat-based pricing negotiated per account. Reference deployments follow the enterprise search playbook: connector audit, permission mapping, company-wide launch. Success looks like fewer "where is X?" Slack messages.
Gyri publishes clearer self-serve and team paths at gyri.io/get-started. Rollouts often start with a GTM wedge: connect CRM, email, and Slack; ship pre-call briefs or competitive monitoring; expand once cited answers prove trustworthy in deal reviews.
Many organizations eventually run both patterns: Glean for employee-wide search, Gyri for GTM intelligence that must be cited, persisted, and acted on.
Verdict
Choose Gyri if:
- Your buyers are RevOps, Sales, CS, or Enablement — not only IT — and success is measured in pipeline, retention, and deal intelligence freshness
- You need multihop questions across CRM, email, Slack, and support — not just document retrieval
- Citation-auditable synthesis is required before answers go to customers, executives, or legal
- You want MCP-native agents in Claude, Cursor, and custom tooling — not a single locked assistant UI
- Write-back and insight persistence matter: competitive intel, account narratives, and institutional memory should compound over quarters
- You want a faster GTM wedge rollout with transparent entry pricing and a path to expand
Choose Glean if:
- Your primary mandate is company-wide enterprise search with best-in-class relevance and personalization at scale
- IT or internal comms owns the initiative, and adoption is measured across all employees, not only revenue teams
- You need the broadest pre-built SaaS connector catalog with a proven Fortune 500 reference base
- A single assistant front door inside one vendor UX is a feature, not a constraint
- Document and message findability is the core job; synthesis, graph traversal, and write-back are nice-to-have, not the ROI hypothesis
Gyri is not a drop-in replacement for Glean's search UX — it is a glean alternative for teams whose knowledge problem has moved from "find the right doc" to "operate on everything the company knows about this account, with proof." If that describes your 2026 roadmap, start your free trial with your stack connected and ask for a cited pre-call brief on a live opportunity.
For category context, read What Is an Agentic Knowledge Base? and the Best Agentic Knowledge Base for GTM Teams (2026) buyer's guide.
FAQ
What is the difference between Gyri and Glean?
Glean and Gyri both connect company data to AI, but they optimize for different jobs. Gyri is an agentic knowledge base for GTM teams — federated search, multihop graph queries, cited synthesis, MCP-native agents, and write-back workflows. Glean excels at company-wide enterprise search; Gyri is built for revenue and operations teams that need cited, persistent operational intelligence.
When should I choose Gyri over Glean?
Choose Gyri when your buyers are RevOps, Sales, CS, or Enablement; when you need multihop questions across CRM, email, Slack, and support; when citation-auditable synthesis is required; and when MCP agents and write-back workflows must compound institutional memory over quarters.
When should I choose Glean over Gyri?
Choose Glean when its native strengths — connector breadth, assistant UX, or platform ecosystem fit — match your primary mandate better than cross-stack GTM intelligence. Many enterprises run workplace search alongside an agentic knowledge base for revenue teams.
Does Gyri integrate with MCP agents like Claude and Cursor?
Yes. Gyri exposes workspace search, graph queries, cited synthesis, and write-back tools via MCP (Model Context Protocol). Agents in Claude Desktop, Cursor, and custom tooling can query federated context without exporting data to a chat window.
Can I try Gyri before committing?
Yes. Gyri offers a free trial at app.gyri.io where teams connect CRM, email, Slack, and docs and see federated search with cited answers in minutes.