Guru is a knowledge management platform that helps teams capture, organize, and surface information where they work. The platform uses AI to deliver verified answers, reduce repetitive questions, and keep documentation up to date across tools like Slack, Microsoft Teams, and browsers.
Guru's pricing is based on a per-user subscription model with three main tiers—Starter, Builder, and Expert—each offering different levels of AI capabilities, integrations, and administrative controls. Published list pricing provides a baseline, but actual costs vary based on user count, contract length, and negotiation.
Evaluating Guru or planning a purchase?
Vendr's pricing analysis agent uses anonymized contract data to show what similar companies typically pay and where negotiation leverage exists—whether you're estimating budget, comparing options, or reviewing a quote. Explore Guru pricing with Vendr.
This guide combines Guru's published pricing with Vendr's dataset and analysis to break down Guru pricing in 2026, including:
Whether you're evaluating Guru for the first time or preparing for renewal, this guide is designed to help you budget accurately and negotiate with clearer market context.
Guru uses a per-user, per-month pricing model with three primary tiers: Starter, Builder, and Expert. List pricing ranges from approximately $10 per user per month for Starter to $20+ per user per month for Expert, billed annually. Monthly billing is available at a premium.
Total contract value depends on:
Guru does not publish a strict contract minimum, but pricing becomes more favorable at higher user counts and longer terms. Buyers with fewer than 25 users may see limited negotiation flexibility, while teams with 100+ users often achieve meaningful discounts through volume-based pricing and multi-year commitments.
Based on anonymized Guru transactions in Vendr's platform, buyers frequently negotiate below list pricing, particularly when committing to annual or multi-year terms, consolidating user counts, or demonstrating competitive evaluation. Discounts of 15–30% off list are commonly observed for mid-market and enterprise buyers.
Benchmarking context:
See what similar companies pay for Guru to access percentile-based pricing ranges for different user counts and tiers, helping you assess whether a given quote aligns with recent market outcomes.
Pricing Structure:
Guru Starter is the entry-level tier, designed for small teams looking to centralize knowledge and reduce repetitive questions. List pricing is approximately $10 per user per month, billed annually.
Starter includes core knowledge management features, browser extension, Slack and Microsoft Teams integrations, and basic search. It does not include advanced AI capabilities, analytics, or premium integrations.
Observed Outcomes:
Buyers often achieve below-list pricing for Starter, particularly when committing to annual contracts or bundling with higher tiers. Volume-based discounts are less common at this tier due to lower contract values, but multi-year commitments and competitive evaluation can yield modest reductions.
Benchmarking context:
Based on Vendr transaction data, Starter pricing for teams of 25–100 users typically reflects volume and term-based negotiation. Get your custom Guru Starter price estimate.
Pricing Structure:
Guru Builder is the mid-tier option, adding AI-powered search, advanced integrations, and workflow automation. List pricing is approximately $15–$18 per user per month, billed annually.
Builder includes everything in Starter plus AI Suggest, custom collections, advanced permissions, and integrations with tools like Salesforce, Zendesk, and Jira.
Observed Outcomes:
Builder is the most commonly purchased tier in Vendr's dataset. Buyers with 50+ users often achieve below-list pricing through volume-based negotiation and multi-year commitments. Annual prepay and competitive alternatives (e.g., Notion, Confluence) are frequently used as leverage.
Benchmarking context:
Vendr data shows that Builder pricing varies significantly by user count and contract structure. Compare Guru Builder pricing with Vendr to see percentile-based benchmarks for your scope.
Pricing Structure:
Guru Expert is the enterprise tier, offering advanced AI capabilities, premium analytics, dedicated support, and custom integrations. List pricing is approximately $20+ per user per month, billed annually, with pricing often customized based on deployment size and requirements.
Expert includes everything in Builder plus AI Answers, advanced analytics, SSO, custom onboarding, and priority support.
Observed Outcomes:
Expert pricing is highly negotiable, particularly for larger deployments (100+ users) and multi-year commitments. Vendr data shows that enterprise buyers commonly achieve below-list pricing by leveraging competitive evaluation, consolidating user counts, and negotiating multi-year terms with annual prepay.
Benchmarking context:
Expert pricing is often customized, making benchmarking critical. Explore Guru Expert pricing with Vendr to access percentile-based ranges for Expert deployments across different user counts and contract structures.
Understanding the cost drivers behind Guru pricing helps buyers budget accurately and identify negotiation opportunities. The primary factors that influence total contract value are:
User count — Guru charges per user per month. Total cost scales linearly with the number of licensed seats, though volume-based discounts often apply at higher user counts (typically 100+ users).
Tier selection — Starter, Builder, and Expert tiers have different list prices and feature sets. Builder is the most commonly purchased tier, while Expert pricing is often customized for enterprise deployments.
Contract term — Annual contracts are standard, but multi-year commitments (2–3 years) often unlock better per-user pricing. Vendr data shows that multi-year deals commonly achieve 10–20% lower annual pricing than single-year contracts.
Billing cadence — Annual prepay is the default and typically offers the best pricing. Monthly billing is available but usually carries a 10–20% premium over annual rates.
Add-ons and premium features — Advanced AI capabilities, premium integrations, and analytics packages may carry additional fees, particularly for custom deployments or enterprise-scale usage.
Onboarding and professional services — While not always included in the base subscription, onboarding, training, and custom integration work may be quoted separately, particularly for larger deployments.
Based on anonymized Guru transactions in Vendr's platform, the most significant cost variability comes from user count, contract term, and negotiation leverage. Buyers who engage early, demonstrate competitive evaluation, and commit to multi-year terms often achieve meaningfully better pricing than those who accept initial quotes.
Benchmarking context:
Vendr's Guru pricing tool breaks down cost drivers by tier and user count, showing how each variable impacts total contract value and where negotiation leverage exists.
Beyond the base subscription, Guru buyers should account for several potential cost drivers that may not be immediately visible in initial quotes:
Premium AI features — Advanced AI capabilities, including AI Answers and custom AI models, may carry additional fees or require the Expert tier. Buyers should clarify which AI features are included in their tier and which require upgrades.
Integrations and API usage — While standard integrations (Slack, Teams, Salesforce) are typically included, custom integrations, API access, or premium connectors may incur additional costs, particularly for enterprise deployments.
Onboarding and training — Professional services for onboarding, training, and custom implementation are often quoted separately. Costs vary based on deployment size and complexity, but buyers should budget for potential fees if hands-on support is required.
User overages — Guru contracts typically specify a licensed user count. Adding users mid-contract may trigger overage fees or require a contract amendment, often at higher per-user rates than the original agreement.
Annual price increases — Renewal pricing often includes automatic annual increases (typically 5–10%). Buyers should negotiate caps on annual increases during the initial contract to avoid unexpected cost growth.
Support and SLA upgrades — Premium support, dedicated account management, and custom SLAs may be available only at the Expert tier or as paid add-ons. Buyers should clarify support terms and any associated costs upfront.
Based on Vendr transaction data, the most common hidden costs are onboarding fees, user overages, and annual price increases. Buyers who negotiate clear terms around these items during the initial contract often avoid unexpected costs at renewal.
Benchmarking context:
Vendr's pricing analysis includes guidance on typical add-on costs and how to structure contracts to minimize hidden fees.
Actual Guru pricing varies significantly based on user count, tier, contract term, and negotiation. While Guru publishes list pricing, most buyers achieve below-list rates through volume-based discounts, multi-year commitments, and competitive leverage.
Based on anonymized Guru transactions in Vendr's platform over the past 12 months:
Small teams (10–50 users) — Buyers in this range typically purchase Starter or Builder and often achieve modest discounts through annual prepay and competitive evaluation. Total annual contract values commonly reflect limited volume leverage but some term-based negotiation.
Mid-market teams (50–200 users) — Builder is the most common tier for this segment. Buyers with 100+ users often achieve below-list pricing through volume-based negotiation, multi-year commitments, and competitive alternatives. Annual contract values vary widely based on tier and add-ons.
Enterprise deployments (200+ users) — Expert is the most common tier for larger deployments. Vendr data shows that enterprise buyers commonly achieve below-list pricing by leveraging competitive evaluation, consolidating user counts, and negotiating multi-year terms with annual prepay. Custom pricing and bundled services are typical at this scale.
Vendr's dataset shows that the strongest negotiation outcomes occur when buyers engage early, demonstrate competitive evaluation (e.g., Notion, Confluence, Tettra), and commit to multi-year terms. Buyers who accept initial quotes without negotiation often pay significantly more than those who prepare carefully and use market context as leverage.
Benchmarking context:
Vendr's Guru benchmarks provide percentile-based pricing ranges for your specific user count and tier, showing what similar companies paid and where negotiation leverage exists.
Guru pricing is negotiable, particularly for mid-market and enterprise buyers. Based on anonymized Guru deals in Vendr's dataset, the following strategies consistently drive better outcomes:
Guru's sales team is more flexible when buyers engage 60–90 days before a decision deadline. Early engagement allows time for competitive evaluation, internal alignment, and multi-round negotiation. Buyers who rush decisions or engage late in the quarter often have less leverage.
Vendr data shows that buyers who establish a clear timeline and decision process upfront—and communicate it to Guru—often receive better initial pricing and more flexibility on terms.
Rather than asking "what's your best price," anchor the conversation to a specific budget or internal approval threshold. For example: "Our budget for knowledge management is $X annually. How can we structure a deal that fits within that?"
This approach shifts the negotiation from discount percentages to creative deal structuring (e.g., phased rollouts, multi-year commitments, or tiered pricing).
Guru competes directly with Notion, Confluence, Tettra, and other knowledge management platforms. Buyers who actively evaluate alternatives—and communicate that evaluation to Guru—often receive better pricing and more flexible terms.
Vendr data shows that mentioning specific competitors (particularly Notion and Confluence) during negotiation frequently unlocks additional discounts or concessions.
Competitive benchmarks:
Compare Guru to alternatives with Vendr to see how pricing and terms stack up across platforms.
Multi-year contracts (2–3 years) with annual prepay typically unlock the best per-user pricing. Vendr data shows that multi-year deals commonly achieve 10–20% lower annual pricing than single-year contracts, while also locking in pricing and avoiding annual increases.
Buyers should negotiate caps on annual price increases (typically 3–5%) and ensure that multi-year commitments include flexibility for user count adjustments.
Guru contracts should clearly define:
Buyers who negotiate these terms during the initial contract often avoid unexpected costs and have stronger leverage at renewal.
Guru's fiscal year ends in January, and sales teams often have quarterly targets. Buyers who time negotiations to align with these periods—particularly Q4 (October–December)—may see more aggressive pricing and concessions.
Vendr data shows that deals closed in the final weeks of a quarter or fiscal year often achieve better pricing than those closed mid-quarter.
These insights are based on anonymized Guru deals in Vendr's dataset across a wide range of company sizes and contract structures. Buyers can explore these insights directly using Vendr's free pricing and negotiation tools:
Guru competes primarily with Notion, Confluence, and Tettra in the knowledge management and documentation space. Pricing structures and negotiation dynamics vary significantly across these platforms.
| Pricing component | Guru | Notion |
|---|---|---|
| List pricing (per user/month, annual) | $10–$20+ depending on tier | $8–$15 depending on plan |
| Typical contract minimum | No strict minimum; pricing improves at 25+ users | No strict minimum; pricing improves at 50+ users |
| Onboarding and professional services | Often quoted separately for enterprise | Typically self-service; custom onboarding available |
| Estimated total for 100 users (Builder/Plus tier, annual) | Volume and term-based negotiation common | Volume and term-based negotiation common |
Benchmarking context:
Compare Guru and Notion pricing with Vendr to see how both platforms compare for your specific requirements.
| Pricing component | Guru | Confluence |
|---|---|---|
| List pricing (per user/month, annual) | $10–$20+ depending on tier | $5.75–$11+ depending on plan (Cloud) |
| Typical contract minimum | No strict minimum | No strict minimum; Data Center/Server pricing varies |
| Onboarding and professional services | Often quoted separately | Typically self-service; Atlassian partners available |
| Estimated total for 100 users (Builder/Standard tier, annual) | Volume and term-based negotiation common | Volume and term-based negotiation common |
Benchmarking context:
Compare Guru and Confluence pricing to see how both platforms compare for your specific requirements.
| Pricing component | Guru | Tettra |
|---|---|---|
| List pricing (per user/month, annual) | $10–$20+ depending on tier | $8.33–$16.66 depending on plan |
| Typical contract minimum | No strict minimum | No strict minimum |
| Onboarding and professional services | Often quoted separately for enterprise | Typically self-service |
| Estimated total for 100 users (Builder/Pro tier, annual) | Volume and term-based negotiation common | Volume and term-based negotiation common |
Benchmarking context:
Compare Guru and Tettra pricing with Vendr to see how both platforms compare for your specific requirements.
Based on anonymized Guru transactions in Vendr's platform over the past 12 months:
Vendr's dataset shows that the strongest discounts occur when buyers engage early, demonstrate competitive evaluation (e.g., Notion, Confluence), and commit to multi-year terms with annual prepay.
Negotiation guidance:
Vendr's Guru negotiation playbook provides supplier-specific tactics, timing, and leverage strategies to maximize discounts.
Based on Guru transactions in Vendr's database over the past 12 months:
Vendr's dataset shows that buyers who accept initial quotes without negotiation often pay significantly more than those who prepare carefully and use market context as leverage.
Benchmarking context:
Vendr's pricing analysis tool shows percentile-based benchmarks for your specific user count and tier, helping you assess whether a given quote aligns with recent market outcomes.
Based on anonymized Guru transactions in Vendr's platform:
Vendr's dataset shows that "fair" pricing depends on user count, contract term, and negotiation leverage. Buyers who engage early, demonstrate competitive evaluation, and commit to multi-year terms often achieve meaningfully better pricing than those who accept initial quotes.
Benchmarking context:
See what similar companies pay for Guru to understand percentile-based pricing ranges for your scope.
Guru does not publicly advertise nonprofit or educational discounts, but Vendr data shows that some buyers in these segments have negotiated custom pricing or discounted rates by demonstrating budget constraints and mission alignment.
Buyers in nonprofit or educational sectors should explicitly request discounted pricing during initial conversations and reference any existing programs or precedents.
Negotiation guidance:
Vendr's negotiation tool includes strategies for nonprofit and educational buyers to maximize leverage and secure better pricing.
Based on Guru transactions in Vendr's database:
Vendr data shows that buyers who proactively negotiate renewal terms during the initial contract—including price increase caps and renewal notice periods—have stronger leverage at renewal and avoid unexpected cost growth.
Benchmarking context:
Vendr's renewal guidance provides strategies for negotiating favorable renewal terms and avoiding unexpected price increases.
Based on anonymized Guru transactions in Vendr's platform, the most common hidden costs are:
Vendr's dataset shows that buyers who negotiate clear terms around these items during the initial contract often avoid unexpected costs at renewal.
Benchmarking context:
Vendr's pricing analysis includes guidance on typical add-on costs and how to structure contracts to minimize hidden fees.
Most buyers in Vendr's dataset purchase Builder or Expert, depending on deployment size and AI requirements.
Guru offers a free trial (typically 14–30 days) for all tiers. There is no permanent free tier, but the trial allows teams to test core features, integrations, and AI capabilities before committing.
Buyers should use the trial period to validate use cases, test integrations, and gather internal feedback before negotiating a contract.
Guru integrates with Slack, Microsoft Teams, Salesforce, Zendesk, Jira, Confluence, Google Workspace, and other common business tools. Builder and Expert tiers include more advanced integrations and API access.
Buyers should clarify which integrations are included in their tier and whether custom integrations or API usage carry additional fees.
Yes, but adding users mid-contract may trigger overage fees or require a contract amendment, often at higher per-user rates than the original agreement. Buyers should negotiate clear terms around user additions and overage policies during the initial contract to avoid unexpected costs.
Based on analysis of anonymized Guru deals in Vendr's dataset, Guru pricing is negotiable, particularly for mid-market and enterprise buyers who engage early, demonstrate competitive evaluation, and commit to multi-year terms. Recent data from Vendr shows that buyers who prepare carefully and evaluate alternatives often secure meaningfully better pricing.
Key takeaways:
Regardless of platform choice, the most important step is clearly defining requirements, understanding total cost drivers, and benchmarking pricing against comparable deals before committing.
Vendr's pricing and negotiation tools analyze anonymized transaction data to surface percentile-based benchmarks, competitive comparisons, and observed negotiation patterns for your specific requirements.
This guide is updated regularly to reflect recent Guru pricing and negotiation trends. Consider revisiting it ahead of any new purchase or renewal to account for changing market conditions. Last updated: February 2026.