Guru pricing, features and alternatives

Guru is worth buying when reps keep asking the same product, pricing and process questions in chat, and you want verified answers reaching them inside the tools they already use. Guru pricing is quote-only: as of our September 2026 check its pricing page publishes no plan names and no per-seat rates, and quotes are built from company scale, knowledge base complexity and AI maturity. Older per-seat price lists you find elsewhere describe a model Guru no longer sells.

Pricing checked against Guru's pricing page.

The short answer

Buy Guru if your problem is trusted answers rather than content libraries, and you can name the experts who will verify cards on a schedule. Software Advice reviewers call it intuitive and simple to implement, and G2 reviewers highlight how it fits into tools teams already use, which is the difference between a knowledge base people read and a wiki they ignore.

Skip it if you need analytics on how buyers engage with decks and documents, since that is a content platform's job and Highspot or Seismic do it. Skip it too if nobody will own verification after launch, because an unverified Guru is the same stale wiki you are trying to replace, at a quoted enterprise price.

Where Guru fits

Guru sits in the sales enablement category and does a different job from most of the products in it. Content platforms manage the material reps send to buyers and measure what happens to it. Guru manages what reps need to know: product details, pricing rules, competitive facts and internal process, organised as cards that experts verify on a schedule. Pitch decks and content analytics come second. If you cannot tell which of those two problems is costing you more, that is the question to settle before a single demo.

The symptom it treats is specific and easy to recognise. Reps ask the same ten questions in chat every week, three people answer slightly differently, and the answer that reaches the customer depends on who replied first. Guru fits where sales and support share one source of truth and the cost of a wrong answer is real. Software Advice reviewers describe teams of generalists who have to know a lot of information relying on it daily, which is a good description of the population it serves best.

Delivery is the feature that decides adoption, so audit it against your own stack rather than a feature list. Reviewers value that Guru reaches into tools teams already use, and your job is to confirm which browser, chat and CRM surfaces your reps genuinely work in and that Guru reaches each one. A knowledge tool that requires a tab switch competes with asking a colleague, and asking a colleague wins. Our sales enablement process guide covers how to decide what belongs in a card against what belongs in training.

The AI layer needs its own set of questions, because it changes where the risk sits. A Gartner Peer Insights reviewer mentions customizable AI agents, and the thing to establish is what sources the AI draws from, how it cites them, and what it does when the underlying card is out of date. An AI answer with a stale card behind it is more dangerous than no answer, since it carries the authority of the system. Ask how an unverified answer is signalled to the rep, and test that path with a deliberately expired card.

The upkeep requirement is not negotiable and it is where this category fails quietly. Verification only works if owners exist: assign owners by topic before migration, agree a review cadence, and check what Guru does when an owner ignores a reminder. Reporting matters here too, so ask what shows you which cards are stale, unused or most searched. Without that loop, the system fills with confident out-of-date answers, and the reps who get burned once stop trusting it for everything else.

What Guru replaces cleanly: the chat channel where questions go to die, the internal wiki nobody updates, and the three competing versions of your pricing rules. What it does not replace: a buyer-facing content platform, a training and certification program, or the enablement owner who decides what is true. Those are separate purchases with separate business cases, and the place most teams store the answers Guru holds is the current version of their sales playbook, which our sales playbook template gives you a structure for.

Guru pricing

Guru publishes no prices. Our September 2026 check found its pricing page carrying no plan names and no per-seat rates, asking buyers to talk to sales, and describing Guru as a platform and expertise package priced by company scale, knowledge base complexity and AI maturity, with solution engineering and knowledge architecture work included. Guru previously published per-seat tiers, so older third-party price lists are describing a model it has retired: treat any per-seat figure you find outside Guru's own quote as out of date rather than as a benchmark. Eligible nonprofits get reduced pricing through Guru for Good.

Six things shape the number that comes back, and the first three are the ones Guru names itself.

  1. Company scale. The quote is built around the size of the organisation rather than a seat ladder, so your headcount frames the proposal before any feature conversation.
  2. Knowledge base complexity. The volume of cards, the number of topics and the migration from whatever you use today all feed the package, which is why a messy starting point costs more than a small one.
  3. AI maturity, meaning how much of the AI answering and agent capability is in scope. Ask whether AI answers are metered, because a usage-based line behaves differently from a flat one at renewal.
  4. Readers against authors. Knowledge tools only work if everyone who asks questions has access, so ask explicitly how occasional readers are priced next to the people who write cards. If readers are charged like authors, your real population is the whole go-to-market team.
  5. The included services. Solution engineering and knowledge architecture work is described as part of the package, so establish whether that is a one-time implementation effort or something that recurs in each annual fee.
  6. Term and renewal. With no list price to anchor against, the renewal uplift is the line that decides year two, and it is the one most often left uncapped.

Without a published rate, the only way to compare Guru is to convert a quote into a number you can hold next to something else. Ask for the annual price, then divide it by your user count and by twelve to get an effective monthly cost per person, and price that against a Spekit quote and a content-platform quote for the same population. Get four things in writing: the reader and author treatment, whether AI answers are metered, whether the included services recur, and a cap on the renewal. Our SaaS contract negotiation checklist covers the clause-level version, and how we review software explains why a quote-only vendor gets no price table here.

What Guru gives up

You give up any published price, and you also give up the historical ones. Guru used to publish per-seat tiers and no longer does, which means the price lists still circulating on third-party sites are describing a product you cannot buy on those terms. The practical effect is that you cannot budget this from the web at all. Get the quote early in the evaluation rather than at the end, because a quoted enterprise package can move the shortlist before you have spent three weeks testing cards.

You give up content management and buyer engagement analytics. Guru is about internal answers, so if leadership wants to know which deck appeared in won deals, that reporting is not here. Teams needing deck governance and engagement tracking end up with a second product, and the enablement budget then carries two subscriptions. Decide which is the bigger gap first, because buying both at once is how enablement tooling becomes a line nobody can defend at renewal.

You give up the value entirely if verification lapses. This is the honest limitation and it is a staffing problem rather than a software one. Guru's model rests on experts reviewing cards on schedule, and if nobody is assigned, it fills with stale answers exactly like the wiki it replaced. Assign owners by topic before migration, put the review cadence in someone's objectives, and check the reporting that surfaces stale and unused cards during the trial rather than a year in.

You give up training and certification. If your gap is rep readiness, ramping new hires or certifying them on a new pitch, that is a different category and Mindtickle is the usual answer. Guru can hold the facts those programs teach, and it does not run the program. Being clear about this early stops a knowledge purchase being judged against a readiness goal it was never going to hit.

You give up a clean name in your own research. Guru.com, the freelance marketplace, is a separate company with its own reviews, ratings and pricing questions, and search results mix the two freely. When you collect reviews, check that each one describes the knowledge management product before you weigh it, and tell anyone else on the buying committee to do the same. This sounds like a small thing and it is how a committee ends up arguing about a product nobody is evaluating.

How Guru compares

Every product in this table quotes rather than publishes, which is the first honest thing to say about enablement software. The second is that they are not competing for the same job. Guru and Spekit answer the question a rep has right now, inside the tool they are working in. Highspot, Seismic and Showpad manage the content a rep sends out and measure what the buyer does with it, and the first two are now one company after their August 2026 merger, so treat them as a single vendor for negotiation purposes. Mindtickle competes where readiness and certification are the gap rather than knowledge or content. Pick the row that matches the problem costing you most, then get two quotes from that row rather than one quote from each.

ToolBest forPriceWhere it breaks
GuruVerified internal answers reaching reps inside their existing toolsCustom quote; no published rate or plan namesNo buyer engagement analytics, and the model collapses if card verification lapses
SpekitIn-app guidance and process knowledge at the point of workCustom quote; no published rateQuote-only, and it is guidance rather than a content library or a training system
HighspotGoverning buyer-facing content with usage analyticsCustom quote across its three tiersEnterprise packaging outstrips small teams, and it needs an enablement owner to stay accurate
SeismicLarge content libraries with heavy governance requirementsCustom quote; no published rateNow the same vendor as Highspot, so it is not an independent second opinion
ShowpadContent-first enablement as an independent alternativeCustom quote across Professional, Advanced and ExpertQuote-only, and internal process knowledge is not what it is built around
MindtickleReadiness, training and certification programsCustom quote; no published rateA program rather than a lookup tool, so it needs people to design and run it

What to test in a Guru evaluation

Guru's pricing page does not list a free trial or a free plan, so ask sales for a pilot and scope it yourself. Bring the ten questions reps ask most and the people who own those answers, because an evaluation run on sample content tells you about the interface and nothing about the model.

  1. Write down the ten questions reps ask in chat most often, with the current answer and who owns it. That list is your test set, your migration plan and your success measure, and most teams do not have it written down anywhere.
  2. Load those ten as real cards and have the real owners verify them. Time how long one owner needs for one card, then multiply by your topic count for the migration estimate nobody volunteers in a demo.
  3. Let one reminder expire deliberately. Watch what Guru does to the card, what a rep sees when they open it, and whether the AI will still answer from it. That behaviour is the difference between a knowledge system and a liability.
  4. Check delivery in every surface your reps work in: browser, chat and CRM. Count the clicks from the moment a question occurs to the moment an answer appears, and compare it against asking a colleague in chat.
  5. Ask what sources the AI draws from and how it cites them, then test it against a question where two cards disagree. A confident answer with no citation is worse than a search result.
  6. Open the reporting and find which cards are stale, unused and most searched. If you cannot answer those three questions in the pilot, nobody will answer them in production either.
  7. Get the commercial answers in writing during the pilot: how occasional readers are priced next to authors, whether AI answers are metered, whether the included solution engineering and knowledge architecture work recurs annually, and the renewal cap. Then put the licence, the migration hours and the ongoing verification time into our sales tool ROI calculator together.

Guru questions buyers ask

Is Guru a good product?
Reviewers on G2 and Software Advice rate it well for ease of use and workflow fit. It works best when teams commit to keeping cards verified.
Is Guru legitimate?
Yes. Be aware that Guru.com, a freelance marketplace, is a separate company with its own reviews. Check you are reading about the knowledge management product.
How much does Guru cost?
Guru does not publish prices. As of September 2026 its pricing page asks buyers to talk to sales, with quotes based on company scale, knowledge base complexity and AI use.
Is there a free trial for Guru?
Guru's pricing page does not list a free trial or free plan. Ask sales about a pilot, and test with real rep questions, not sample content.
How is Guru different from Highspot?
Guru focuses on verified internal knowledge and answers. Highspot focuses on managing and tracking sales content used with buyers.
What is Guru software used for?
Keeping internal answers accurate and reachable. Teams store product details, pricing rules, competitive facts and process steps as cards that named experts verify on a schedule, then reach them from the browser, chat and CRM surfaces reps already work in rather than a separate wiki.
How does Guru work?
Content lives in cards, each with an owner who verifies it on a schedule, so a rep can see whether an answer is current. Guru surfaces those cards inside existing tools, and its AI can answer from them. Verification is the mechanism, which means it needs owners to work.