Best AI Enterprise Search Tools 2026: Glean vs Guru vs Coveo vs Amazon Q Business — Four Meters, Four Different Bills

Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027, and estimates that only about 130 of the thousands of vendors claiming agentic products have anything real. When the post-mortems get written, the model will take the blame. The invoice will tell a different story.

Every agent a company ships sits on one thing: a permission-aware index of what that company already knows. That index is the product Glean, Guru, Coveo and Amazon Q Business sell — on four different meters. Pick the wrong one and the software works exactly as advertised while the bill triples. This is what AI enterprise search tools actually cost, and why the meter should decide your shortlist before a single demo does.

What AI enterprise search tools actually meter

Per seat. Cost scales with headcount. A 500-person company pays for 500 seats whether 500 people search or 40 do.

Per query. Fine for humans, brutal for agents. A person fires one search; an agent fans out a dozen retrieval calls to assemble one answer, then retries when the first pass is thin.

Per indexed document. Cost scales with how much you know — and, in one case, with the clock.

Per consumption unit. The most honest meter and the hardest to forecast, which is why finance is usually the department that kills these projects.

One row in that table behaves differently from the other three, and it is the one buyers get wrong.

Glean: the seat meter with a consumption surcharge

Glean raised a $150 million Series F at a $7.2 billion valuation on May 19, 2026, and disclosed $300 million in ARR, up from $208 million at the end of 2025. It reports 100 million-plus agent actions a year and more than 100 connectors. On execution this is the category leader, and it is not close.

Glean pricing is not published on Glean's site. Buyer reports cluster between $45 and $75 per user per month at small deployments, settling toward $25–$40 above 700 seats, with a reported 100-seat minimum and an annual floor near $60,000. Treat those as reported figures, not vendor numbers. The shape is consistent: below 200 seats, Glean is priced to lose your business.

The meter is the problem. License it for support and sales and you pay for 500 people. If adoption lands where enterprise search deployments usually land in year one — 20% to 30% — you have bought a seat product most seats never open. Glean's answer is the consumption side: agents that act, billed on top. That is precisely where Gartner's 40% cancellation number lives. Governance ships under Glean Protect, an add-on, and buyers report renewal increases of 7% to 12%. A renewal cap is not a nice-to-have here; it is the negotiation.

The honest reason to pay it: Glean is the only one of the four that is meaningfully cross-platform. If knowledge lives across Slack, Drive, Jira, GitHub, Salesforce and Zendesk, the alternative is not a cheaper search tool. It is Microsoft.

Guru: the meter you can no longer read

Guru pricing changed shape in 2026 and most review sites have not caught up. The old public ladder — free for three users, roughly $10–$15 per user per month self-serve, enterprise above $20 — is gone. What replaced it is a package. Guru's own FAQ states: "Guru is a platform and expertise solution — not just a per-seat tool. Your investment is tailored to your organization's scale, knowledge complexity, and AI maturity." No seats, no rate, no floor. What the page does list is a services layer: knowledge architecture design, agent tuning, a change management playbook, ongoing optimization.

That is a services bundle wearing a subscription's clothes. If your problem is retrieval, it is overhead. If half your Confluence pages were last edited by someone who left in 2023, it is the only part that fixes anything.

Search quality is a content ownership problem before it is a model problem, and Guru prices around that. Cards have named owners and verification intervals, unverified content gets flagged platform-wide, and corrections propagate to every consumer. It is the only one of these four whose core pitch is content hygiene rather than ranking. On the glean vs guru question, Guru's own comparison page makes the argument: it claims rival platforms "connect to your data and retrieve what's there — as-is," while Guru governs the underlying content. Fair, and also a warning — if your content is already clean and owned, you are paying a premium for a workflow you do not need.

The MCP angle matters more than the marketing. If agents already pull context from tools like Notion AI, a knowledge layer that speaks MCP slots in without another migration.

Coveo: the query meter, and generative answers cost extra

Coveo pricing is published as a metering rule rather than a rate card. From Coveo's own pricing page: every unit includes 100,000 queries per month; Service and Website are entitlement-based; Workplace is seat-based; Commerce bundles 100,000 queries and recommendations per month with 100,000 catalog items; subscriptions run annual or three-year, USD standard. There is not a single dollar amount on the page. Everything routes through "Request Pricing."

The detail that decides budgets sits one paragraph down: Coveo states that generative AI features — Relevance Generative Answering and Generative Product Discovery — "are available as add-ons." The AI is not in the platform price. Independent teardowns of Coveo contracts put annual commitments in the low-to-mid six figures, with three-year totals cited above $500,000 at the high end. Those are third-party estimates; the page carries no figures to check them against.

Query metering has one structural weakness in 2026: it is the meter agents break. Coveo's own unit definition counts generative queries per month. When a support agent, a sales agent and an ITSM agent each query the same index to answer one question, consumption is driven by software, not customers. Coveo is the right answer when search is customer-facing over a complex catalog where a missed query is a lost order — Gartner placed it in the Leader quadrant in June 2026. It is the wrong answer when the primary consumers are internal agents on a fixed query budget.

Amazon Q Business: the only published rate card, and the one being retired

Amazon Q Business pricing is the only fully public rate card here. Lite is $3 per user per month. Pro is $20. Index capacity is billed hourly: a starter index unit is $0.140 per hour, capped at five units per application, and an enterprise index unit is $0.264 per hour. One unit holds 20,000 documents or 200 MB of extracted text, whichever comes first. Images are $3 per 1,000. For anonymous use cases, consumption pricing runs $200 per 30,000 units, two units per prompt, no rollover. Amazon Q in QuickSight adds $250 per account per month.

AWS's own documentation says the quiet part: once an index is created you are charged for it regardless of whether any document capacity inside it has been used. At $0.264 an hour, one production index unit costs $190.08 a month before a single person logs in. A 200,000-document corpus needs ten of them — $1,900.80 a month of standing cost. This is the only meter in the category where the bill arrives simply for existing.

AWS publishes the arithmetic. Example five: a 500-employee company buys 450 Lite and 50 Pro seats against 1,000 documents for $2,350 in subscriptions plus $190 in index plus $24 in image processing — $2,564 a month. Example one: 5,000 employees, one million documents, 50 enterprise index units — $23,500 in subscriptions plus $9,504 in index, $33,004 a month, of which 29% is documents, not people. Same rate card, an order-of-magnitude spread driven by how much you index rather than how many people you have.

The catch is availability. AWS's pricing page now opens with "The next evolution of Amazon Q Business — Introducing Amazon Quick Suite," and says existing customers can continue on the current service or reuse their index in Quick Suite. Two third-party trackers report AWS closed Q Business to new customers on July 31, 2026; that sentence is not on AWS's own page, so confirm it with your account team. The cheapest published rate card in this category may be the one you cannot sign.

What a 500-person company actually budgets

Budget enterprise search implementation cost separately from license cost. Permissions are not a one-time exercise: index latency when access changes is the most common reason a pilot never reaches production, and source systems like Salesforce and SharePoint rate-limit and change schemas on their own schedule. A 1,000-employee company can lose roughly $2.5 million a year to information it cannot locate, and these products do not fix that — they amplify whatever state your documentation is already in. The tool is not the constraint. Ownership is.

The bundle is the real competitor

None of these four compete for the budget line they did two years ago. They compete with things you already own.

Workday closed its $1.1 billion acquisition of Sana Labs — announced at Workday Rising in September 2025, completed that November — and shipped Sana for Workday worldwide. Its launch materials state that the Sana Self-Service Agent, with over 300 skills, and Sana Enterprise are available to Workday customers through Flex credits and with no additional license; Sana had more than a million users before the deal. Microsoft 365 Copilot sits near $30 per user per month inside a subscription most enterprises already pay for. Amazon folded its product into Quick Suite. Three of the four meters above are being neutralized by bundles that arrive free with something else.

The question is no longer which tool has the best retrieval quality. It is what share of your retrieval need the license you already own covers, and whether the gap justifies a six-figure contract plus a new permission model to maintain.

How to choose

Under 200 people, buy none of them. Assign owners to your 200 most-read documents, delete the rest, and revisit in a year.

Above that, match the meter to your shape:

• Cross-platform knowledge, agents that need write access: a seat-metered pure-play. Negotiate a renewal cap and a defined agent-consumption allowance into the first contract.
• Support or HR teams answering repetitive questions from governed content: a knowledge-management product with real verification workflows. If what you actually need is AI knowledge management software for a 40-person team, this is the category — and a per-seat enterprise search license is not.
• Customer-facing search over a large catalog: a query-metered platform. Queries map to revenue events.
• Deep in one cloud or one HR suite: the bundled option, after confirming it is still sold to new customers.

If you need the best enterprise search platform for mid-market — 200 to 1,000 seats — none of the four publish a mid-market rate, and three will not quote below 100 seats without a partner. Mid-market is where the bundle wins on price and loses on cross-platform coverage, so the decision reduces to one count: how many non-Microsoft or non-Workday systems hold knowledge your team actually needs? Under three, buy the bundle.

A shortcut on glean alternatives: the tools that publish a price are the ones attached to something else you buy. Every standalone vendor here makes you sit through a demo to learn its number, which tells you the number is negotiable. Most enterprise search software is still bought by a committee, so give that committee the meter table before the first demo. It is the reason the most useful exercise with AI enterprise search tools in 2026 is not a proof of concept but a written question: what does this cost when usage triples, and who signed off on that number?

Frequently Asked Questions

How much does Glean cost per user in 2026?

Glean publishes no rate. Buyer-reported figures run $45–$75 per user per month at smaller deployments and settle toward $25–$40 above roughly 700 seats, with a reported 100-seat minimum and an annual floor near $60,000. A 500-person deployment at $45 per user per month would be $270,000 a year. Ask for a written renewal cap — reported increases of 7% to 12% change the three-year math more than an initial discount does.

Is Guru cheaper than Glean for a 100-person team?

Probably, and you cannot verify it from either website. Guru no longer publishes pricing; its FAQ describes a scoped package bundling platform access with a strategy team, so the cheaper-looking option carries a services component Glean does not require. At 100 seats Glean is also below its reported minimum, which usually means enterprise pricing. What matters is not the per-seat rate but whether you are buying retrieval or content governance.

What does Coveo pricing look like if I only need service search?

Coveo gives you the meter and withholds the rate. Each unit includes 100,000 queries per month; Service is entitlement-based; generative answering is a separate add-on. Independent teardowns put annual commitments in the low-to-mid six figures, with three-year totals above $500,000 at the high end. If query volume is modest and mostly human, the meter is fine. If agents are the main consumer, model the query growth before signing.

Why is Amazon Q Business being replaced by Amazon Quick Suite?

AWS's pricing page presents Quick Suite as "the next evolution of Amazon Q Business" and says existing customers can keep using the current service or reuse their Q index in Quick Suite. Two third-party trackers report AWS closed Q Business to new customers on July 31, 2026, though that sentence is not on AWS's own page. If you are already on Q Business, the rate card above still applies. If you are not, assume Quick Suite's own rates and account fee — and confirm availability in writing.

Bottom line

The four products here are not four versions of the same thing, and their rate cards prove it. Glean bills per human and charges more for the agents. Guru stopped publishing a number and now sells expertise alongside software. Coveo bills per query and puts the generative layer on a separate line. Amazon Q Business bills per seat plus an index that costs $190 a month per unit whether you use it or not — and the vendor may have stopped selling it.

The meter is the strategy, so choose whichever AI enterprise search tools meter punishes the growth you actually expect. Adding agents? Avoid query metering. Rolling out to everyone? Avoid per-seat. Content a mess? No meter matters — buy governance, not retrieval, and first price out what the bundled tool you already own would have done with the same 60%.