Guru does not publish a price for its AI knowledge platform. Its pricing page describes a custom package scoped to your organisation, with no plans, no per-seat figure and no stated minimum, so what Guru AI costs a small business is whatever the quote says. Before signing, ask what moves the price, what the minimum is, and how you leave.
That makes this a negotiation, not a shopping task, and negotiations go better with a list. Below is the list: what the page does and does not say, the questions that change a quote, an annotated sample quote with illustrative numbers, an email you can paste, and the cheaper tools worth pricing alongside.
What Guru's page says and what it leaves out
As read in November 2026, the pricing page opens with a custom model rather than tiers. It says the investment is tailored to your organisation's scale, knowledge complexity and AI maturity. It describes a package with three parts: the platform (an AI knowledge layer), an expertise layer (an AI and knowledge-management strategy team) and infrastructure (enterprise governance). Under the platform part it lists Knowledge Agents, AI search grounded in governed knowledge, deep research across the knowledge layer, and more than 100 integrations with delivery over MCP, a standard that lets other AI tools read the same knowledge.
It is just as useful to note what is absent. There is no free trial mentioned, no seat minimum, no monthly or annual figure, no contract length and no statement of which features sit in every package. The page does call the expertise layer "a launchpad, not an ongoing dependency", which is a claim you can hold the seller to by asking for an end date on the services line. It also says eligible nonprofits can get reduced pricing, and describes the first conversation as a working session rather than a sales pitch.
Everything else on the web about "Guru AI pricing" is either that page paraphrased or a reseller's guess. Treat third-party figures with suspicion: a vendor that quotes per organisation can change the number between two buyers, so a price someone else paid is a hint at best.

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Buy nowThe four numbers that decide your quote
A custom quote usually reduces to a handful of inputs. Knowing them before the call stops you being priced by the size of your company's website. The page's own wording points to these:
- Scale. People who will search or receive answers, and possibly people who author content. Ask whether "users" means everyone with a login or only editors.
- Knowledge complexity. How many sources, how messy they are, how many need permissions mirrored. Ten tidy policy documents are a different job from forty thousand support tickets.
- AI maturity. How much set-up help you want. A team that has already written its own prompts needs less of the expertise layer than one starting from nothing.
- Governance needs. Audit trails, access rules and verification workflows. These are what the "infrastructure" part of the package is for, and they are the part a small firm may not need.
Write your own answer to each in one line before you speak to anyone. A wholesale distributor with 35 staff, a shared drive of price lists and a support inbox is a "modest scale, medium complexity, low maturity" buyer, and saying so first anchors the conversation on a smaller package.
Ten questions to ask, and the answer you want
These run from the ones that change the price most to the ones that bite later. Put them in an email so the answers exist in writing.
- What is the minimum commitment? You want a number of users, a term in months and a total. If the seller will not say, assume it is higher than you want.
- What exactly is in the quote, line by line? Platform, services, support, integrations, any one-off set-up. A single package figure cannot be compared or trimmed.
- Which of the listed features are included at my price? Knowledge Agents, AI search, deep research and MCP delivery are listed together on the page, but the page does not say every package has all four. Get each one confirmed by name.
- What happens to the price when headcount changes? Ask about adding ten people in month four and about dropping five at renewal.
- How long does the expertise layer last, and who does the work? A named number of hours or weeks, and a named role, not "ongoing support".
- What does renewal cost? Ask for the renewal uplift cap in writing. A first-year discount that vanishes in month thirteen is common in quote-based software.
- Is there a time-boxed pilot, and is it priced? A 30 to 60 day pilot with a fixed scope and an agreed success measure is the closest thing to a free trial you will get.
- Which of my sources connect, and which need custom work? Name your actual tools. "100+ integrations" says nothing about the three you use.
- Who can see what the AI answers from? Ask how permissions in the source tools carry across, and whether an answer can cite a document the asker is not allowed to open.
- How do I leave, and what do I take with me? Export format, deletion timeline and whether the structure you built is yours.
Question 3 deserves emphasis. The page lists Knowledge Agents and AI search under the platform component of its example package, and says nothing about whether each is in every tier. That gap is where a surprise add-on tends to live. The general version of this list is in Questions to ask an AI vendor before you sign anything.
A worked comparison with illustrative numbers
Say a wholesale distributor with 35 people wants staff to ask one question and get an answer drawn from price lists, supplier terms and the returns policy. The figures below are invented to show how to compare; they are not Guru's prices, which are not public.
| Option | Annual cost | Set-up effort | What you get |
|---|---|---|---|
| Quote-based package | Whatever the quote states, probably including services | Vendor-led, weeks | Governed knowledge layer, agents, search |
| Workspace with built-in AI (35 seats on a mid plan) | 35 x seat price x 12 | You, a few days | Search and answers over pages you write there |
| Chat tool with AI search (35 seats) | 35 x seat price x 12 | Almost none | Answers over past conversations |
To fill in the lower rows with real numbers, use the vendors' own pages. Notion's pricing page lists Plus at $10 and Business at $20 per member a month billed yearly ($12 and $24 monthly), with Notion Agent, AI meeting notes and enterprise search included from Business upwards and only a trial on Plus. For 35 members on Business that is 35 x $20 x 12 = $8,400 a year. Slack's USD pricing page (an archived copy, because the live page served local currency) lists Business+ at $15 per user a month billed annually, or $18 monthly, so 35 x $15 x 12 = $6,300. Slack now lists AI search, recaps and summaries as part of its paid plans rather than a separate add-on. Both figures exclude whatever time your team spends tidying documents, so check the current pages before relying on either row.
Now the useful step: ask the seller of the quote to beat the cheapest sensible alternative on a named job, not on the feature list. If the quote is three times the Notion figure, the extra must buy something specific, such as permissions that mirror a source system or agents that act rather than only search. If the seller cannot name that something, you have your answer.
For more on what those two tools cost once AI is added, read Is Notion AI worth it now it comes with paid plans and Slack AI for small teams.
An annotated quote, line by line
Here is an invented quote, marked up the way you should mark up a real one. Every figure is a placeholder.
Line 1 Knowledge platform licence, up to 60 users ....... $X per year
Line 2 AI knowledge and strategy team, 8 weeks ......... $Y one-off
Line 3 Governance and security layer ................... $Z per year
Line 4 Integrations, up to 5 sources ................... included
Line 5 Support, business hours ......................... included
Term: 24 months. Renewal: at then-current rates.
Reading it against the questions above gives these notes:
- Line 1, "up to 60 users". You have 35. Are you paying for 25 empty seats? Ask for a 40-user band and a clause letting you grow at the same per-user rate.
- Line 2. A one-off is fine if it has an end date and a deliverable list. Ask what "strategy" produces: a written plan, configured agents, trained staff?
- Line 3. The page calls governance "infrastructure". Ask what happens if you decline it. For a firm with no sensitive data it may be optional.
- Line 4. "Up to 5 sources" is a limit disguised as an inclusion. List your sources and check each counts as one.
- Term and renewal. Twenty-four months with renewal at then-current rates leaves year three unpriced. Ask for a cap, such as the previous price plus a stated percentage, or a twelve-month term.
The email to send before the call
Sending questions first changes the tone of the working session, because the seller arrives with numbers ready instead of a discovery script. Paste and edit:
Subject: Scoping question list before our call
Hi [first name],
Ahead of our call, here is what we are weighing up so we use the time well.
About us: [number] staff, [sector], knowledge mainly in [tools].
Job to solve: staff find answers to [specific question types] without asking a colleague.
Success measure: [for example, fewer than 5 repeat questions a week to the team lead].
Could you confirm in writing:
1. Minimum users, term and total price for a package at our size.
2. A line-by-line split of platform, services, support and governance.
3. Which of AI search, Knowledge Agents and deep research are included.
4. Renewal terms and any cap on the increase.
5. Whether a 30 to 60 day paid pilot is possible, and its price.
6. Export and deletion terms if we leave.
Thanks,
[your name]
If the reply dodges four of the six, you have learned something about the relationship before spending anything.
A pilot that proves value in four weeks
If you do go ahead, run the pilot like an experiment. A realistic structure for the distributor above:
- Week 0: collect 30 real questions from last month's emails and chat, with the correct answers and where each lives. This is your test set.
- Week 1: connect only two sources, the price lists and the returns policy. Resist connecting everything.
- Week 2: run the 30 questions through the tool. Score each answer as correct, partly correct or wrong, and note whether it cited the right document.
- Week 3: give five staff the tool for real work and count the questions they still send to a colleague.
- Week 4: decide against thresholds you set in week 0, for example 24 of 30 correct and a halving of repeat questions.
Say the pilot returns 21 of 30 correct. That is 70 per cent, below your 80 per cent bar. The question then is whether the seller can lift it by cleaning sources or tuning, and whether they will do so inside the pilot price. Both answers belong in the contract before you sign the full term. Preparing the material the tool will read is its own job, covered in how to build a company knowledge base AI can answer from.
When the folders are messy, the tool will not fix them
Consider a failure that shows up with any AI search product. A financial adviser's practice connects a shared folder where three versions of the fee schedule sit side by side, one marked "old". The AI answers a fee question confidently from the oldest version, because nothing told it which was current. The tool worked as designed; the folder was the fault.
Guru's page speaks of governed knowledge, which hints at verification workflows. Ask the seller to show, on your own folder, how an out-of-date document is flagged or removed. If the honest answer is "someone on your team owns it", add that owner's time to your cost: a few hours a week of upkeep is a real cost that never appears on a quote.
Counting the hidden costs yourself
A quote covers the vendor's side. Add your own before comparing:
| Hidden cost | How to estimate it |
|---|---|
| Content clean-up before connecting | Hours to merge or delete duplicates, times an hourly cost for whoever does it |
| Ongoing owner time | 2 to 4 hours a week for the person who keeps answers current |
| Staff onboarding | Number of staff times 30 minutes |
| Integration work outside the quote | Ask which of your sources need custom effort |
| Switching cost later | Time to export and rebuild if you leave |
For the distributor, say 40 hours of clean-up, 3 hours a week of upkeep and 35 staff at 30 minutes each. At an internal rate of $30 an hour that is 40 x $30 = $1,200, plus 156 hours a year x $30 = $4,680, plus 17.5 hours x $30 = $525. Total internal cost about $6,400 in year one, before any licence. A cheaper tool does not escape this either, but it shows why the licence difference is only part of the comparison.
Cheaper routes to the same job
A quote-based package suits a firm whose knowledge sits across many systems and who needs governed access. Plenty of small firms need less. Three lighter routes:
- Put the answers in a workspace you already use. Write the 40 most-asked answers as pages and use the workspace's AI search over them. The cost is the seat price, and you control the content.
- Use chat search for answers that live in conversations. A chat tool's AI search finds them without any migration.
- Start with a general assistant and a project. Upload the price list and policies to a project in a general AI assistant and ask questions there. It will not mirror permissions, so use it only for material anyone on staff may read. The AI hub compares the main assistants.
Pick the lightest route that passes your 30-question test. If it scores 80 per cent or better, a quote-based package is probably over-specified for you today. Revisit when you outgrow it: more than one team, access rules that matter, or answers that must be auditable.
One more filter helps when two quotes look close: ask each seller for the cost of your single most important job alone. If the answer is a 30-question pilot at a fixed price, that figure is comparable across vendors, while a package price is not. A distributor that needs only price-list answers for its sales desk can then judge the whole package against one narrow, measurable use, and drop the parts it would never open.
Red flags and green flags in the replies
How the seller answers is data. A few patterns, with what each tends to mean:
- Red: "We will tailor it after you sign." A tailored price before signature is the point of a quote. Pricing after signature is not pricing.
- Red: a discount that expires this week. Quote-based vendors have flexible calendars. A deadline built to rush you suggests the price will not look worse next month.
- Red: no named owner for the services layer. If nobody is named, nobody is accountable.
- Green: a pilot with a written success measure. The seller is willing to be judged on results.
- Green: an itemised quote without being asked twice. Transparent builds are easier to renegotiate in your favour.
- Green: a reference from a business of your size. Ask what the licence cost them and what surprised them.
The one-page check before you sign
Print this and tick it with the quote in front of you:
- I have a written minimum, term and total.
- Platform, services and support are separate lines.
- Each AI feature I need is named as included.
- Renewal is capped, or the term is twelve months.
- The services layer has an end date and a deliverable list.
- A pilot with a success measure exists, or I accept the risk without one.
- I can export my content and have it deleted on exit.
- My own internal cost is added and the total still beats the lighter route.
If one box stays empty, that is your next email. If several do, you are being asked to buy on trust, which is a fair thing to decline for a team that can get most of the way with a workspace tool it already pays for. If you would rather weigh the quote with someone, that is what my AI implementation consultation covers.
Guru quote questions owners ask next
Does Guru offer a free trial?
Guru's pricing page, read in November 2026, does not mention a free trial or a self-serve checkout. It offers a first working conversation and then a scoped quote. If you need to test before paying, ask for a time-boxed pilot in writing, with a named scope and a price for the pilot itself.
Is Guru priced per seat?
The page describes custom pricing based on organisation scale, knowledge complexity and AI maturity, not a per-seat table. A quote may still contain a user or knowledge-volume component, so ask which numbers move the price and what happens when headcount changes mid-term.
Can a very small team get a sensible quote?
Possibly, but the page does not state a minimum, so ask for it up front. Quote-based packages tend to be built around larger organisations, and a team of under twenty may find that a general workspace tool with built-in AI search costs far less for the same everyday need.
What if the quote arrives with no breakdown?
Reply with the line-item request in this tutorial. A package price with no split between platform, services and support makes it impossible to compare, and impossible to renegotiate one part later. A seller who cannot split it should at least explain why.
Further reads
- How Much Does AI Cost a Small Business in 2026? — Puts any one tool's price in the context of a whole AI budget.
- Software Subscriptions vs One Custom Tool: Five-Year Costs Compared — Five-year view of subscription versus bespoke spend.
- How to Set a Baseline Before You Introduce AI — Measure the current cost of finding answers before buying.
- Bubble Pricing: Starter, Growth and Team Plans and Workload Units — Another usage-based price worth decoding before you commit.
- HeyGen Business Plan Cost: Is It Worth It Over Pro for a Small Team? — HeyGen Business costs $149 a month plus $20 per extra seat. A seat-by-seat comparison with Pro, with team scenarios and a verdict rule.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Guru's pricing page (getguru.com/pricing) and Notion's pricing page, read on 5 November 2026, and Slack's USD pricing page (archived copy of 4 November 2026, as the live page served local currency).