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Guru wiki enterprise search and Guru alternatives with live cross-app answers beyond the Guru search engine

Guru is excellent at verified knowledge: a curated wiki of cards that subject-matter experts keep accurate, surfaced in the flow of work. The limitation teams mention when weighing Guru alternatives is that it answers from what has been curated into Guru, so anything that lives only in Drive, Slack, a Jira ticket or an email is outside its reach.

One search · cited answers · permission-aware

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InSearch complements that with live search across everything. Instead of relying solely on curated cards, it searches Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce as they are, then returns a written answer with citations to the exact sources. It is permission-aware and never trains on your data, so you get an authoritative answer even for the knowledge nobody got around to curating.

Confluence vs Guru is the comparison people usually reach first, and the two are less interchangeable than the shortlist suggests. Confluence is a documentation platform: long pages, spaces, a hierarchy, and everything an engineering or product team writes at length. Guru is a card system built for short verified answers delivered where someone is already working, with an owner and a review date on each card. Teams that pick Confluence for the job Guru does end up with sprawling pages nobody trusts, and teams that pick Guru for the job Confluence does run out of room on the first real spec. Plenty of companies run both, which is exactly how the find-anything problem starts.

One practical note on evaluating Guru itself: it does not publish prices. Checked again on August 11, 2026, getguru.com/pricing shows no figures at all, and describes Guru as a platform and expertise solution rather than just a per-seat tool, with the investment tailored to your scale, knowledge complexity and AI maturity. That means a scoped engagement quoted on a call, so budget for a sales cycle before you can compare it against anything with a published number.

Guru is strong for curated, verified wiki knowledge in the flow of work. InSearch adds live, cross-app search that answers from your apps as they are, cited and permission-aware.

Side by side

Guru vs InSearch, honestly

A fair look at what each does well. Both are capable tools. Here is where they differ.

What matters InSearch Guru
Source of answers Live search across all your connected apps as they are Curated, verified knowledge cards
Cross-app coverage Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query Knowledge captured into Guru plus some integrations
Cited answers Written answer with inline citations to the exact source docs Answers from verified cards
Permission-aware Item-level permissions enforced at query time Card and collection permissions
Training on your data Never trains on customer data, encrypted under SOC 2 practices Standard security controls
Best suited for Teams that want live answers across all apps, curated or not Teams investing in a verified, curated wiki

Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.

Why teams pick InSearch

One cited, permission-aware search across every app

Beyond curated cards

Answers come from your apps as they are, so knowledge nobody curated is still findable and cited.

Live and cross-app

One query across every connected tool, with a written answer and source citations.

Permission-aware

Scoped to exactly what each person can already see, and never trained on.

Good questions

Guru vs InSearch, answered

Guru is a curated wiki first and a search engine over that wiki second. Its search is very good at finding a Card someone wrote and verified, and it does not index the Slack thread, the Drive doc or the Jira ticket where the answer actually lives unless a person copied it into a Card. That is the practical difference between a wiki search box and enterprise search: one searches what was written down for it, the other searches where the work happened.
If you want live answers across all your apps rather than only curated wiki cards, yes. InSearch searches your tools as they are and cites the exact source, so it answers even for knowledge nobody had time to curate into a wiki.
Yes. InSearch searches your Confluence or Notion wiki along with every other app, so curated and uncurated knowledge come back in one cited, permission-aware answer.
They solve different problems. Confluence is for documentation that needs length and structure, such as specs, runbooks and decision records. Guru is for short verified answers surfaced in the flow of work, with an owner and a review date on each card. If you are choosing one to replace the other you will feel the gap quickly; most companies end up running both, which is why cross-app search becomes necessary.
Guru publishes no pricing figures today. Re-checked on September 26, 2026, its pricing page shows no numbers and sells a custom package quoted on a call. The last list price it showed, archived in January 2026, was $25 per seat per month billed annually, or $30 monthly, with a 10-seat minimum, and in August 2025 it was $15 per user. Its AWS Marketplace listing confirms billing is per user under a contract.
It depends which half of Guru you are replacing. For curated verified knowledge, Bloomfire and Confluence are the usual comparisons. For the underlying problem of people not finding answers, the shortlist is cross-app enterprise search rather than another wiki, because a second curated library adds another place to look rather than removing one.

Find any answer at work with InSearch

One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.

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One search across every app · cited answers · permission-aware · never trains on your data