Guru alternatives and the best Guru competitors compared on price and live search

The best Guru alternative depends on which half of Guru you actually use. Guru does two jobs: it keeps a library of short answers verified by named owners, and it answers questions from that library inside Slack, Teams and the browser. Most alternatives do one of those jobs well, so name yours first.

If verification is the job, look at the wiki you already pay for. Notion Business includes "Verify any page", and the verified badge carries into Notion's search and AI citations. Tettra is the closest match to Guru's old model, with verification and a Slack bot at $8 per user per month billed yearly, though it has a 10 user minimum like Guru did. Slite sells a similar team wiki with AI answers at $10 and $20 per member.

If a curated hub with a services team is the job, Bloomfire is the comparable purchase. It also sells by quote, on multi-year terms, and its strength is searching the spoken word in recorded video.

If the real complaint is that people cannot find answers, a second library usually makes it worse, because it adds another place to look. The fix is a search layer across the tools where the answer already lives. Glean is the category leader and sells by quote. InSearch connects Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce, enforces each source's permissions at query time and returns one written answer with citations, at $20 per user per month for Drive, Slack and Notion on Team or $32 on Business with all seven connectors.

Guru does not publish a price in 2026. Its pricing page, read on October 23, 2026, says: "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." The package includes "full platform access, access to a team of solution engineers, knowledge architecture design, and ongoing optimization", scoped on a first call.

The history is short and steep. In August 2025 Guru listed $15 per user per month billed annually, or $18 monthly. By January 2026 it was $25 per seat billed annually, or $30 monthly, with a 10 seat minimum. Then the figures came off the page. Guru's AWS Marketplace listing still bills per user under a contract, so headcount still drives the quote.

The Guru column is a planning floor, not a quote: Guru no longer sells at that rate publicly, and Vendr's median contract of $39,521 a year is higher than every row in it. InSearch Business, which adds Confluence, Jira, Gmail and Salesforce plus SSO, is $32 per user, so $19,200 a year at 50 users.

Guru's competitors fall into three groups. Wikis that now verify and answer: Notion, Confluence, Tettra and Slite. Curated knowledge hubs sold with services: Bloomfire, and help-center knowledge bases such as Document360. Search and answer layers over company apps: Glean, Microsoft 365 Copilot, Dropbox Dash and InSearch.

Guru's own positioning has moved toward the third group. Its pricing page now leads with an "AI Knowledge Layer", "Knowledge Agents for cited, permission-aware answers" and "100+ integrations and MCP delivery", and says Guru "powers your existing AI tools via MCP rather than competing with them". That makes Guru a governance layer that feeds other assistants as much as a wiki, which is a different purchase from the one most Guru customers made in 2023.

Guru is a curated knowledge layer first and a search engine over that layer second. Its search and Knowledge Agents are very good at finding a card someone wrote and verified, and Guru says it structures, governs and "continuously improves your knowledge so it gets more accurate over time". What it searches best is what was brought into Guru.

Enterprise search starts from the other end. It reads Drive, Slack, Jira, Confluence and email where the work happened and checks each person's permissions at the moment they ask. Coverage is wider, and quality control stays with the source systems rather than with a verification queue. Neither model is wrong. A support team quoting refund policy wants the verified card; an engineer looking for last month's incident thread wants the search.

Notion is a good Guru alternative for teams under about 100 people that already write in Notion. Business is $20 per member per month billed yearly and includes Notion Agent, AI Meeting Notes, Enterprise Search and "Verify any page", so the two features most teams bought Guru for, verified answers and AI answers, come with the workspace. Enterprise Search is labeled Beta on Notion's pricing page, and Notion says its Jira, Box, OneDrive, Salesforce and Asana connectors are in Beta too.

Where Notion falls short of Guru is in the flow of work. Guru pushes verified cards into Slack, Teams and the browser so a support rep never leaves the ticket. Notion expects people to come to Notion. The cost comparison at 25, 50 and 100 seats is in Guru vs Notion pricing.

Tettra is the cheapest published alternative at $8 per user per month billed yearly, with a 10 user minimum, so the floor is $960 a year. Confluence is cheaper per user at scale and free for up to 10 users. Notion Business at $20 and InSearch Team at $20 cost less than Guru's last public seat price of $25 and well below Vendr's $39,521 median contract for most team sizes.

The cheaper choice is not always the cheaper outcome. If you pay for Confluence and still pay for Guru because nobody can find anything in Confluence, the saving you want is one of those two lines, not a third tool. Price the job, not the seat.

Stay if wrong answers are expensive and a named owner per answer is the control you need: customer support quoting policy, sales quoting pricing, regulated teams answering from approved language. Stay if your security review needs SOC 2 Type II and HIPAA support, which Guru lists, or if you want the solution engineering and knowledge architecture work that Guru now bundles into the price. InSearch has no verification workflow and holds no SOC 2 attestation today, and if either of those is a requirement, that decides it.

Stay, too, if you are building on MCP. Guru says it delivers governed knowledge to "your existing AI tools via MCP", so if your plan is to keep Claude, ChatGPT or Copilot as the front end and feed it verified content, Guru is built for that role.

Start three to six months before the renewal date, because Guru sells annual contracts. Export your cards first, since Guru content authored inside Guru has no other home. Then list the twenty questions your support and sales teams asked most last month and note where each correct answer actually lives.

If most answers sit in Guru cards, move to a wiki with verification, such as Notion or Tettra, and import the export. If most of them live in Slack threads, Drive files and Jira tickets, a search layer replaces Guru without a migration at all. InSearch connects in an afternoon, so you can run those same twenty questions against your real apps before the renewal and decide on the result rather than on a feature grid.