Source: https://frntir.ai/guides/glean-alternatives

Glean alternatives for AI knowledge and enterprise search: Guru, Slite, Notion AI, Rovo, Bloomfire and an AI colleague, compared on pricing and fit.

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Comparison

# Glean Alternatives: The AI Knowledge & Enterprise Search Tools to Compare (2026)

By **Aidan Dunphy** & **Cyril Le Roux**, Co-founders of Frntir · Last updated: **September 2026** · 18 min read

Glean is the best-known name in AI-powered enterprise search, but it is built and priced for large enterprises, which sends a lot of mid-sized teams looking for something that fits their size, budget or way of working. This guide compares the main alternatives, says who each one is best for, and clears up a mix-up that trips up most buyers: several of these tools are not doing the same job at all.

The short version

- **Glean** is the enterprise-search benchmark: broad, permissions-aware, and priced for large orgs with a reported seat minimum around 100 users.
- **Already on Confluence or Jira?** **Atlassian Rovo** is bundled into what you already pay for.
- **Live in Notion?** **Notion AI** answers over your own workspace, no new tool to adopt.
- **Need verified, expert-approved answers?** **Guru** is built for that, from $25 a user a month.
- **Want your docs and your search in one tool?** **Slite** is a knowledge base that also searches your other tools and flags pages that have gone stale, from $20 a user a month.
- **Is your problem a recurring job that keeps losing its context, rather than company-wide search?** An AI colleague such as **Frntir** is a different kind of answer.

## Why teams look for a Glean alternative

Glean is built for large enterprises: knowledge sprawled across many systems, and the budget and seat count for an enterprise-search programme. A mid-sized team whose knowledge sits mostly in one suite rarely fits that shape, so it goes looking for something lighter, cheaper, or built around a job rather than a search box.

Glean is a well-funded, enterprise-grade AI work assistant and enterprise-search platform. It raised a $150 million Series F in June 2025 at a $7.2 billion valuation, and reports around $765 million in total funding. It does not publish pricing; third-party pricing trackers report an enterprise-search licence of roughly $50 per user per month, a Work AI add-on of about $15 per user per month on top, and a minimum commitment commonly around 100 users, which places the entry point near $60,000 a year. Enterprise search is also an enterprise deployment: connecting every system and getting document-level permissions right takes time, and third-party comparisons report typical Glean rollouts of several weeks.

None of that is a criticism. It is a fit. If you are a 120-person firm whose knowledge is scattered across a dozen systems and search is a daily tax on everyone, Glean may be exactly right and you should shortlist it. If you are a 40-person team whose knowledge mostly lives in one suite, or your real pain is one job that keeps losing its context, a hundred-seat enterprise-search contract is more than you need. The rest of this guide is for the many teams in between.

## First, which job are you buying for?

Before comparing tools, get clear on the job, because "knowledge tool" bundles several different jobs together and most of these products are strong at one of them. Buying enterprise search to fix a single recurring bottleneck, or a wiki to fix a search problem, is the most common and most expensive mistake here.

Our [guide to AI knowledge management](https://frntir.ai/guides/ai-knowledge-management-mid-sized-business) breaks the field into four approaches (wikis and knowledge bases, enterprise search, dedicated AI knowledge layers, and AI colleagues) and argues which fits which situation. This page assumes that groundwork and does the next step: it ranks the named products you will be comparing, and says who each is for. In short, the four jobs are:

- **Search everything you already have.** Find answers across all your tools, wherever they were written. This is enterprise search: Glean, and to a large extent Microsoft Copilot and Google Gemini inside their own suites.
- **Curate a source of truth.** A place where answers are written, verified and kept current on purpose. This is a knowledge base or wiki: Guru, Slite, Bloomfire, Notion, Confluence.
- **Put AI on top of that content.** Ask in natural language, get an answer grounded in your material with citations. Most tools here now do a version of this.
- **Own a recurring job and remember it.** Not a place you search, but a colleague that does the work and keeps its own context. This is the AI-colleague approach.

The tools below sit in different places on that list. Comparing them purely on price or on a feature checklist hides the fact that they are not all trying to do the same thing.

## Glean alternatives at a glance

| Tool | Best for | Org size | Pricing | Core strength |
| --- | --- | --- | --- | --- |
| Glean | Large orgs with content spread across many systems and budget for enterprise search | Enterprise (reported ~100-seat minimum) | Not published; reported ~$50/user/mo + ~$15 AI add-on | Broad, permissions-aware search plus a Work AI assistant across all your connected tools |
| Guru | Support and ops teams that need verified, expert-approved answers | 10+ (10-seat minimum) | From $25/user/mo (annual); Enterprise usage-based | Verified knowledge cards plus AI search, grounded in approved content |
| Slite | Small and mid-sized teams that want their docs and cross-tool search in one tool, kept current | Small to mid-size (no published seat minimum) | Basic $10/user/mo, Pro $20/user/mo (annual); Enterprise custom | A knowledge base plus AI search over 20+ connected tools, with an agent that flags stale docs and drafts the fix for a person to approve |
| Notion AI | Teams that already run on Notion and want AI over their own workspace | Any | Business $20/member/mo (AI included); Enterprise custom | AI Q&A and writing across your Notion pages and connected apps, no new tool to adopt |
| Atlassian Rovo | Teams already on Confluence and Jira | Any (bundled into paid plans) | Bundled into paid Confluence/Jira; Standard from ~$5.42/user/mo, credit-metered | Search, chat and agents across the Atlassian suite you already pay for |
| Bloomfire | Larger teams that want a managed, searchable knowledge library | Mid-size to enterprise | By quote; third-party trackers report ~$25 to $49/user/mo | Centralised knowledge library with generative answers and strong analytics |
| Frntir | Teams whose real problem is a recurring job losing its context every cycle, not company-wide search | Any | £6,000/yr per colleague (£500/mo) | A named AI colleague with persistent memory that owns a recurring job and remembers the work |

Pricing is indicative and shown in the currency each vendor publishes (USD for the US-based tools; Frntir in GBP). Guru, Slite, Notion and Atlassian publish their figures; Glean and Bloomfire do not, so those are third-party-reported and flagged as such. UK buyers should factor in FX and VAT, and verify current pricing directly before shortlisting.

## The alternatives, one by one

Each tool is described by what it is best at, and where it is the wrong fit. A comparison where one option wins every row is not worth reading.

The incumbent

### Glean

[Glean](https://www.glean.com/) is the enterprise benchmark for AI-powered search and a Work AI assistant that answers across all your connected tools. Its strengths are breadth and permissions-awareness: it indexes across a large set of systems and respects who is allowed to see what, so answers come back with the right sources and without leaking. If your knowledge lives everywhere and search is a company-wide problem, this is what enterprise search is for.

**Best for:** large organisations with content spread across many systems and the budget for a real enterprise-search programme. **Less ideal for:** mid-sized teams below the reported seat minimum, or teams whose knowledge already sits mostly in one suite.

The verified-answer pick

### Guru

[Guru](https://www.getguru.com/) pairs enterprise search with a verified knowledge base and now positions itself as an "AI Agent Center". Its differentiator is trust: answers are grounded in content a human has marked as verified, with reminders to re-verify before it goes stale, which matters when a wrong answer is costly. It publishes pricing from $25 per user per month on an annual plan, with a ten-seat minimum, and a usage-based Enterprise tier above that.

**Best for:** support, ops and sales teams that need answers they can trust and keep current. **Less ideal for:** teams wanting the widest possible cross-system search, where a dedicated enterprise-search tool reaches further.

Knowledge base and search in one

### Slite

[Slite](https://slite.com/) comes at the problem from the other side. Glean adds a search layer over knowledge that lives in other tools; Slite is the knowledge base where it lives, with AI search that also reaches more than 20 connected tools (Slack, Google Drive, Jira, Linear, GitHub, Salesforce and others) and answers with citations. Since June 2026 its Slite Agent also watches for drift: it compares your docs against activity in tools like Slack, GitHub and Linear, flags pages that no longer match, and drafts the fix for a person to approve before anything changes. An MCP server lets agents in Claude, Cursor and similar clients read and write the knowledge base with the signed-in user's permissions. Production data is hosted in the EU, under SOC 2 Type II.

**Pricing:** Basic $10 per user per month billed annually (AI answers over your Slite docs, 30 questions per seat a month); Pro $20, which adds the agent and unlimited answers across connected tools, with agent actions drawn from 50 pooled credits per seat a month; Enterprise by quote.

**Best for:** small and mid-sized teams that want to write and search their knowledge in one place and keep it current without someone auditing every page by hand. **Less ideal for:** teams settled in Confluence or Notion that would rather not move their docs, and very large estates where Glean's connector breadth reaches further.

If you already live in Notion

### Notion AI

If your team already runs on Notion, [Notion AI](https://www.notion.com/product/ai) is the lowest-friction option here: it answers questions and drafts across your own pages and connected apps with nothing new to adopt. As of 2026 the separate AI add-on is gone, folded into the Business plan at $20 per member per month, with Enterprise quote-only. Note that heavier agent use runs on a metered credit system on top of seats, so budget for that if you lean on it.

**Best for:** teams whose knowledge already lives in Notion and who want AI over it without a separate platform. **Less ideal for:** organisations whose content is spread across many non-Notion systems.

If you already pay for Atlassian

### Atlassian Rovo (Confluence and Jira)

[Rovo](https://www.atlassian.com/software/rovo) brings search, chat and agents across the Atlassian suite, and the useful part is that it is bundled into paid Confluence and Jira plans rather than sold as a separate contract. Confluence Standard starts at around $5.42 per user per month, and Rovo features draw on a monthly credit pool that scales with your plan tier. If your knowledge already sits in Confluence, this is close to free additional capability rather than a new purchase.

**Best for:** teams already committed to Confluence and Jira. **Watch:** Rovo Chat, agents and deep research draw on credits, so a heavy-usage team should check the credit maths against its plan. **Less ideal for:** teams not on the Atlassian stack.

The managed library

### Bloomfire

[Bloomfire](https://bloomfire.com/) is a centralised, searchable knowledge library with generative answers and strong analytics, aimed at teams that want a managed source of truth rather than search stitched across every tool. It does not publish list pricing; third-party trackers report roughly $25 to $49 per user per month depending on tier, with larger deployments quoted per organisation, so treat any figure as indicative and get a quote.

**Best for:** larger teams that want one curated, well-analysed knowledge library. **Less ideal for:** small teams put off by per-seat library pricing, or teams that need cross-system search rather than a destination.

A different kind of option

### Frntir (the AI-colleague approach)

[Frntir](https://frntir.ai/) is not a like-for-like Glean competitor. The tools above are places you go to find an answer. Frntir builds AI Synths: named [AI colleagues](https://frntir.ai/guides/ai-agents-vs-copilots-vs-chatbots) with persistent memory that are given a recurring job rather than a search box. Because a Synth remembers the work it does as a by-product of doing it (the jobs it runs, the decisions and the context around them), the knowledge builds up where the job happens instead of in a library someone has to keep alive. The trade-off: enterprise search is far broader, it can answer across everything your company has ever written; a Synth is scoped to the jobs it owns and is not a whole-company search index.

**Best for:** teams whose problem is a recurring job (bids, procurement, CRM upkeep) that keeps losing its context every cycle. **Less ideal for:** teams that need to search every document across the whole company, which is what enterprise search is built for.

**Pricing:** £500/mo per full-time colleague (£6,000/yr), no setup fee, whole team included.

## Before you buy: the search you may already own

One check saves a lot of money here. If you are on Microsoft 365 or Google Workspace, part of the cross-tool search Glean sells is already in your stack, so test what you own before buying a separate platform.

Microsoft 365 includes [Copilot](https://www.microsoft.com/microsoft-365/copilot) search across SharePoint, Teams and Outlook, and Google Workspace has [Gemini](https://workspace.google.com/solutions/ai/) search across Drive and Gmail. Neither reaches as widely as Glean across non-native systems, and neither is as strong at unifying a fragmented estate, which is where Glean earns its price. But if most of your knowledge already sits inside one of those suites, the first move is to turn on and try the search you are paying for, then buy a dedicated tool only for the gap that leaves.

## AI knowledge and enterprise-search glossary (2026)

A few terms come up on every vendor page in this category. Here is what they mean.

**Enterprise search**

Search that indexes across all your tools at once and answers in natural language with links to the source. It can only find knowledge that was written down somewhere.

**RAG (retrieval-augmented generation)**

The method behind most "AI answers grounded in your content": the tool retrieves relevant passages from your material, then has a language model write an answer from them, with citations. It reduces made-up answers but depends on the quality of what it retrieves.

**Permissions-aware / document-level permissions**

The system only surfaces content a given user is already allowed to see, so search does not leak restricted documents. This is a large part of what makes enterprise search hard, and expensive, to do properly.

**Knowledge base vs wiki**

A wiki is open pages anyone can edit (Confluence, Notion). A knowledge base adds structure and, often, verification, so answers are curated and trusted rather than just written down (Guru, Bloomfire).

**Tacit vs explicit knowledge**

Explicit knowledge is written down and can be searched. Tacit knowledge is the unwritten reasoning in someone's head. No search tool can find tacit knowledge that was never captured, which is the limit of every tool on this page.

**Connectors**

The integrations that let a tool read your other systems (email, chat, drives, ticketing). More connectors means wider reach, and usually a longer, more involved rollout.

## Which should you choose?

Match the tool to your situation, not to a leaderboard. There is no single winner here, because these tools are built for different sizes of organisation and different jobs.

- **Large org, knowledge scattered across many systems:** shortlist Glean and test it on your hardest real search, then compare a specialist enterprise-search rival on the same query.
- **Already on Confluence or Jira:** turn on Rovo before buying anything, since it is included in your paid plan.
- **Already on Notion:** Notion AI on the Business plan is the least-friction option.
- **Answers must be trusted and current (support, ops, compliance):** Guru's verified model is built for that.
- **You want your docs and cross-tool search in one tool, kept current:** Slite.
- **You want one managed, well-analysed library:** Bloomfire.
- **On Microsoft 365 or Google Workspace:** try the Copilot or Gemini search you already pay for before adding a platform.
- **The real gap is a recurring job losing its context, not company-wide search:** look at an AI colleague such as Frntir that owns the job and keeps its own memory.

The question underneath the tool choice

Every tool here helps you find what was written down. The deeper question is whether your problem is retrieval or continuity. If people cannot find things, search is the answer. If the same recurring job loses its context every cycle, because the person who held it left, or because it never got written down in the first place, a better search box will not fix that. That is the gap an AI colleague is built for, and it is a different decision from picking the best knowledge tool.

Related guide: [AI knowledge management for mid-sized businesses: stop losing know-how when people leave](https://frntir.ai/guides/ai-knowledge-management-mid-sized-business) →

### Sources and method

Vendor capabilities and positioning are drawn from each company's own site and from 2026 third-party comparison write-ups. Glean funding figures ($150m Series F at a $7.2bn valuation, June 2025; around $765m total) are from Glean's own announcement and Tracxn. Glean pricing is third-party-reported, as Glean does not publish prices: the roughly $50/user/mo search licence, ~$15/user/mo AI add-on, ~100-user minimum and ~$60k/yr entry point are reported by pricing trackers including Workativ, Coworker AI and GoSearch, and the several-week rollout is from third-party comparisons; treat all of these as indicative, not official. Guru pricing (from $25/user/mo annual, ten-seat minimum) is Guru's published figure. Slite pricing (Basic $10 and Pro $20/user/mo billed annually, Enterprise custom; 30 AI questions per seat a month on Basic; 50 pooled agent credits per seat a month on Pro) is Slite's published figure; the Slite Agent details (launched June 2026, drift detection across 20+ connected tools, human approval of every change) are from Slite's changelog, the MCP server from Slite's MCP page, and EU hosting and SOC 2 Type II from Slite's security page.Notion AI ($20/member/mo on Business, AI included; metered agent credits) follows Notion's published 2026 pricing. Atlassian Rovo pricing (bundled into paid Confluence/Jira, Standard from ~$5.42/user/mo, credit-metered) follows Atlassian's published plans. Bloomfire does not publish list pricing; the ~$25 to $49/user/mo range is third-party-reported and indicative. Microsoft Copilot and Google Gemini search capabilities are from those vendors' own product pages, and the Microsoft 365 Copilot price ($30/user/mo on an annual commitment) is Microsoft's published figure. Frntir pricing (£500/mo, or £6,000/yr, per full-time colleague) is our own list price. Last reviewed September 2026. If you spot anything out of date, tell us and we will correct it.

## Frequently asked questions

What is the best alternative to Glean? There is no single best alternative, because these tools do different jobs. If you already run on Confluence and Jira, Atlassian Rovo is bundled into what you pay for. If you live in Notion, Notion AI answers over your own workspace with nothing new to adopt. If you need answers that are verified and expert-approved, Guru is built for that. Bloomfire suits a larger, managed knowledge library. And if the real problem is that one recurring job keeps losing its context every cycle, an AI colleague such as Frntir is a different kind of answer. Match the tool to the job, not to a ranking.  How much does Glean cost? Glean does not publish pricing. Third-party pricing trackers report an enterprise-search licence of roughly $50 per user per month, with a Work AI add-on of around $15 per user per month on top, and a minimum commitment commonly around 100 users, which puts the entry point near $60,000 a year. Treat those as indicative, unofficial figures and get a current quote directly, since enterprise-search pricing is custom and changes.  Is there a cheaper Glean alternative for a mid-sized business? Yes. Glean is built and priced for large enterprises, so mid-sized teams often find the seat minimum and the rollout heavier than they need. If you already pay for Confluence or Jira, Rovo is included at no extra line item. Notion AI is $20 per member per month on the Business plan with AI built in. Guru starts at $25 per user per month on an annual plan, and Slite's Pro plan, which adds search across connected tools, is $20 per user per month billed annually. Each is a fraction of an enterprise-search contract, though none of them does the same full-breadth search Glean does.  What is the difference between enterprise search and an AI knowledge base? Enterprise search (Glean, Microsoft Copilot search) indexes what already exists across all your tools and answers questions with links to the source, so it only finds knowledge that was written down somewhere. An AI knowledge base (Guru, Bloomfire) is a place your team curates and verifies answers, so it is more trustworthy but someone has to keep it current. Both are covered in more depth in our guide to AI knowledge management, which compares the four main approaches side by side.  Do I still need Glean if I already use Microsoft 365 or Google Workspace? Often not to begin with. Microsoft 365 includes Copilot search across SharePoint, Teams and Outlook, and Google Workspace has Gemini search across Drive and Gmail, so a lot of the cross-tool search Glean sells is already partly in your stack. Glean earns its price when your content is spread across many systems that your existing suite does not reach. If most of your knowledge already sits in one suite, start with the search you are paying for before buying a separate platform.  What is the difference between a knowledge tool and an AI colleague? A knowledge tool is a place you go to find an answer: you search it, and it retrieves what was stored. An AI colleague (what Frntir calls a Synth) is given a recurring job rather than a search box, and it remembers the work as a by-product of doing it, so the context builds up where the job happens instead of in a library someone has to maintain. The trade-off: enterprise search is far broader, it can answer across everything your company has ever written; an AI colleague is scoped to the jobs it owns and is not a whole-company search index.  Does Glean integrate with the tools we already use? Glean is built around connectors, so it indexes content from a large set of workplace systems (Google Workspace, Microsoft 365, Slack, Confluence, Jira, Salesforce, Zendesk, GitHub and more) and searches across all of them at once. Breadth of connectors is its main selling point. The trade-off: every connector you add is another system to configure and keep permissions-synced, which is part of why enterprise-search rollouts take time. Confirm the specific systems that hold your knowledge are supported before you shortlist it.  How long does Glean take to set up? Plan for weeks, not days. Enterprise search has to connect each of your systems and, harder, mirror their document-level permissions so it never surfaces something a user should not see. Third-party comparisons report typical Glean rollouts running several weeks, and the more systems and the stricter the permissions, the longer it runs. A tool scoped to one suite (Notion AI, Atlassian Rovo) or to one job goes live far faster, with less to connect and less to secure.  Does Glean have a minimum number of users? Glean does not publish its terms, but third-party pricing trackers consistently report a minimum commitment commonly around 100 seats, which is a large part of why it does not fit smaller teams. Treat that as indicative and confirm directly, since minimums get negotiated. If a 100-seat floor is more than your whole company, the lower-minimum options are the realistic starting points: Notion AI and Rovo bundled into plans you already hold, or Guru from a ten-seat minimum.  Is Glean a good fit for a mid-sized business of 50 to 200 people? Usually only at the top of that range, and only if your knowledge is scattered across many systems. Glean is engineered and priced for large enterprises: a reported seat minimum near 100 and an entry point around $60,000 a year put it out of reach for most teams under about 100 people. A mid-sized team whose content sits mostly in one suite, or whose problem is one recurring job, usually gets better value from a lighter tool or an AI colleague scoped to that job.  What is involved in switching from Glean to another tool, or the other way? Less than switching most software, since these tools mostly index content that lives elsewhere rather than holding it. Moving off Glean means turning off its connectors and standing up the replacement against the same systems; your documents stay where they always were. What you do lose is any tuning, saved answers, verification history and usage signals built up inside the tool. A curated knowledge base such as Guru or Bloomfire is stickier, since the verified content was created in the tool and has to be exported and re-homed.  Where is our data stored, and is Glean secure enough for confidential material? Enterprise-search tools are designed to be permissions-aware, meaning they only return content a given user is already allowed to see, which is central to running them on confidential material. Beyond that, the specifics (hosting region, encryption, sub-processors, retention) vary by vendor and plan, so read the data-processing agreement rather than the marketing. For a shortlist, ask each vendor the same three questions: where the data is hosted, who can access it, and how permissions stay in sync when they change at the source.  Do these tools train their AI models on our company data? Most enterprise vendors contractually commit not to train their foundation models on your content, and instead use retrieval-augmented generation, which reads your material at query time to ground an answer rather than absorbing it into a model. But that commitment lives in the contract, not the sales page, and it can differ between a self-serve plan and an enterprise agreement. Get the no-training term in writing, and check whether it also covers any third-party model the tool calls behind the scenes.  Is Glean or an alternative suitable for a UK business with GDPR obligations? It can be, but suitability comes down to the contract and hosting, not the brand. A UK buyer should confirm the vendor offers UK or EU data hosting or an adequate transfer mechanism, will sign a GDPR-compliant data-processing agreement, and lists its sub-processors. Many US-headquartered tools here meet those requirements for enterprise customers, but the terms differ by plan, so verify them before shortlisting rather than assuming. This is a founder-level checklist item, not a row you can read off a comparison table.  How does Glean compare to Microsoft 365 Copilot? They overlap but do different jobs. Microsoft 365 Copilot searches and reasons across your Microsoft estate (SharePoint, Teams, Outlook, OneDrive) and is published at $30 per user per month on an annual commitment. Glean reaches more widely across non-Microsoft systems and is a dedicated search platform rather than a suite feature. If almost all your knowledge lives in Microsoft 365, start with Copilot, which adds onto licences you already hold; if it is spread across many systems Microsoft does not cover well, that gap is where Glean earns its price.  Glean versus Guru: which should we choose? Choose by whether your problem is finding what exists or trusting what you find. Glean is broad enterprise search across everything you have connected. Guru is narrower but adds verification: answers are grounded in content a human has marked correct, with reminders to re-check before it goes stale, and it publishes pricing from $25 per user per month on an annual plan with a ten-seat minimum. Support, ops and compliance teams that need trusted, current answers often prefer Guru; teams that need the widest reach prefer a dedicated search tool.  Glean versus Slite: which should we choose? Choose by where your knowledge should live. Glean is a search layer over content that stays in your other tools, and it reaches further across a large, fragmented estate. Slite is a knowledge base you write in, with AI search that also reaches more than 20 connected tools and an agent that flags docs that have gone stale and drafts the fix for a person to approve. It publishes pricing ($20 per user per month billed annually for Pro, which includes the agent and cross-tool search) and you can start without a sales call. A small or mid-sized team that wants its docs and its search in one place, kept current, fits Slite; a large organisation whose problem is reach across dozens of systems fits Glean.  Is Notion AI a genuine Glean alternative? Only if your knowledge already lives in Notion. Notion AI answers and drafts across your own Notion workspace and connected apps, and as of 2026 it is folded into the Business plan at $20 per member per month rather than sold as a separate add-on. It is the lowest-friction option for a Notion-native team, but it is not built to index a fragmented estate of non-Notion systems the way Glean is, so it is an alternative for some buyers and not for others.  Can Atlassian Rovo replace Glean if we already use Confluence and Jira? For many Atlassian-centric teams, yes, and at almost no extra cost. Rovo brings AI search and chat, plus agents, across the Atlassian suite, and is bundled into paid Confluence and Jira plans (Confluence Standard starts around $5.42 per user per month) rather than sold as a separate contract, though its AI features draw on a monthly credit pool. If your knowledge already sits in Confluence and Jira, turn Rovo on before paying for anything new. If a lot of your content lives outside Atlassian, Rovo will not reach it, and a broader tool is the better fit.  What are the contract terms, and can we pay monthly? It splits by vendor type. The self-serve tools (Notion AI, Slite, and Guru at its lower tiers) publish per-seat pricing and generally offer monthly or annual billing, with a discount for paying annually. The enterprise-search platforms (Glean, and Bloomfire at scale) are quote-based annual contracts, often with a seat minimum and a year-long commitment, so there is no month-to-month option at that end. If budget flexibility matters, weigh a self-serve tool you can start and stop against an enterprise contract you are committed to for a year.  How accurate are the AI answers, and what happens when the tool is wrong? These tools use retrieval-augmented generation, so an answer is only as good as the material it retrieves, and it can still be confidently wrong on thin, outdated or contradictory sources. Every serious tool cites its sources for that reason: the citation is how a user checks an answer instead of trusting it. Verified knowledge bases such as Guru lower the risk by grounding answers in human-approved content. Whatever you pick, treat the cited sources as the safeguard and keep a person in the loop for anything consequential.  What if a lot of our knowledge is not written down anywhere? Then no search tool will find it: search can only retrieve what was captured. This is the most common disappointment with enterprise search. Teams buy it expecting answers and find that the reasoning they needed was never written down: it lived in one person's head. If your gap is uncaptured, tacit knowledge (why a decision was made, what a client agreed), the fix is capturing it as the work happens, which is closer to what an AI colleague does than to what a search box does.  What does one of these tools cost beyond the licence fee? Budget for more than the per-seat price. The larger hidden costs are setup and connector configuration, the admin time to keep permissions and content current, and, on several 2026 plans, metered AI usage on top of seats: Notion and Atlassian Rovo both meter heavier agent use through credits. For enterprise search, the multi-week rollout is real staff time. A fair comparison is total first-year cost including implementation and admin, not the headline monthly figure.  Who should not use Glean, or enterprise search at all? Skip it if you are below its scale, if your knowledge already sits in one suite, or if search is not the problem. A team under roughly 100 people, or one whose content lives almost entirely in Microsoft 365, Google Workspace, Notion or Atlassian, will usually get more from the search built into what it already owns. And if the recurring pain is one job losing its context every cycle rather than people failing to find documents, a better search box does not address it at all.  Can a single tool both search everything and own a recurring job? Not well: they are built around opposite assumptions. Enterprise search is horizontal, indexing everything and waiting for a question. An AI colleague is vertical, scoped to a job, doing the work and keeping the context that job produces. A tool stretched to do both usually ends up a broad search index with a shallow grasp of any one job, or a deep job-owner that cannot see the rest of the company. Most teams are better served picking the one that matches their bottleneck, and some run both for different problems.  How do we choose between Guru, Bloomfire and Notion AI for a knowledge base? Match them to how your team already works and how much verification you need. Notion AI is the natural pick if you already run on Notion, at $20 per member per month on Business. Guru suits teams that need verified, expert-approved answers that stay current, from $25 per user per month annually. Bloomfire fits larger teams that want one managed, well-analysed library, at a third-party-reported $25 to $49 per user per month. All three curate content on purpose, unlike pure search, so the deciding factor is your verification needs and your existing stack, not raw feature count.

![Aidan Dunphy](https://frntir.ai/images/Aidan-Dunphy-Profile.webp) ![Cyril Le Roux](https://frntir.ai/images/Cyril-Le-Roux-headshot.webp)

**Aidan Dunphy & Cyril Le Roux** are the co-founders of Frntir.

Aidan has 25+ years in product strategy and technology leadership (B.Sc. Mathematics, Executive MBA). Cyril has 20+ years scaling product organisations, including as VP Product at TransferGo (MBA, The Open University). Frntir builds AI Synths for mid-sized businesses.

## The problem is continuity, not search?

Tell us which recurring job keeps losing its context, and we'll show you what an AI colleague could own and remember, inside the tools you already use.

[Book a call](https://frntir.ai/contact)