21 comparisons
Search & knowledge retrieval compared
These tools answer questions from a body of material, and the useful distinction is whose material: the open web, or your own documents and systems. Comparisons here keep that line clear, because the two are not substitutes.
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EVERY PAIR
- 360Learning vs GuruThe same knowledge, two destinations. Guru keeps it retrievable: a curated knowledge base whose agents give cited, permission-aware answers and actively maintain the content behind them, auto-verifying and unverifying material as sources change, delivered inside Slack, Teams and the browser where questions arise. 360Learning turns it into training instead, drawing expertise out of subject-matter experts and packaging it as structured courses people work through. Pick Guru when the need is an answer at the moment of work; pick 360Learning when the need is for someone to actually know the thing next time, which is a different and slower ambition.
- 360Learning vs Sana (Workday)Two AI-native learning platforms that agree learning should be generated from a company's own knowledge, and disagree about who does the generating. 360Learning leans on collaborative authoring: internal subject-matter experts contribute as co-authors, with AI carrying the administrative weight that usually stops that happening. Sana generates structured courses from internal documents and personalises paths by role and progress, with knowledge agents answering employee questions from the same foundation. Pick 360Learning when the expertise is in people and the problem is getting it out of them; pick Sana when the expertise is already written down and the problem is turning it into something people will complete.
- AnythingLLM vs KimiThe axis here is where your documents go. AnythingLLM keeps them: a private document-chat workspace on your own hardware, citations included, with local models by default and cloud only by choice. Kimi is a hosted assistant with the opposite strengths, deep research that carries through into generated slides and websites, on servers you do not control and with its consumer service operated from China, so where prompts and documents travel is part of the decision. Pick AnythingLLM when the material must stay in the building; pick Kimi when the material is shareable and you want a finished artefact rather than an answer.
- ChatGPT vs Grok (xAI)ChatGPT is the safer all-rounder: the broadest toolset, the deepest ecosystem and dependable behaviour across everyday work, research and creation. Grok's edge is immediacy, with real-time grounding in X and the live web plus benchmark-front reasoning on its top models. Pick ChatGPT as a general workhorse for most people and teams; pick Grok when tracking what is happening right now matters, and treat it cautiously as a corporate default given its permissiveness record.
- Consensus vs Gemini NotebookEvidence search across the literature against reasoning over your own sources: Consensus tells you what published research concludes, NotebookLM, renamed Gemini Notebook in July 2026, masters the documents you already hold. Pick Consensus when the question is answerable by the academic corpus, an evidence-weighted verdict in seconds with the Consensus Meter showing how strongly studies agree, citations attached. Pick NotebookLM when the corpus is yours, a project's documents interrogated with passage-level citations, persisting as a queryable notebook, with briefings and study artefacts generated from what you loaded and nothing else.
- Consensus vs PerplexityBoth answer questions with sources; the corpora differ completely. Consensus reads only the academic literature, answering research questions with the balance of published evidence made visible. Perplexity reads the live web, answering anything current with numbered citations and deep research across hundreds of sources. Pick Consensus when the question is what research concludes; pick Perplexity for everything the open web answers, which is most questions.
- Elicit vs ConsensusBoth search the academic literature; the outputs differ in depth. Consensus answers single research questions fast, showing how strongly papers agree at a glance with citations attached. Elicit is the systematic workhorse: screening studies against criteria and extracting methods, samples and outcomes into structured tables across dozens of papers at once. Pick Consensus for quick evidence-weighted answers; pick Elicit when the job is a literature review rather than a question.
- Elicit vs Gemini NotebookBoth serve rigorous research; they read different libraries: Elicit searches the published academic literature, NotebookLM, renamed Gemini Notebook in July 2026, masters the documents you upload. Pick Elicit when the job is a literature review, screening a corpus of well over a hundred million papers against your criteria and extracting findings into structured tables you define, every value traceable to its paper. Pick NotebookLM when the corpus is yours, a project's documents persisting as a queryable notebook with passage-level citations, briefings and study artefacts generated from what you loaded and nothing else.
- Google Gemini vs GleanBoth promise answers grounded in your work, and they mean different things by your work. Gemini means the Google surround: inside Gmail, Docs, Drive and Meet, holding very long documents in one session and grounding answers in live Search, with a genuinely capable free tier underneath. Glean means the whole estate regardless of vendor, indexing the organisation's applications and returning permission-aware cited answers across drives, wikis, tickets and chats. Pick Gemini when work really does live in Google and the integration advantage is free money; pick Glean when it is scattered across a dozen systems and finding things is the actual bottleneck.
- Glean vs Microsoft CopilotBoth answer from your organisation's own knowledge under existing permissions, and the estate decides which one can actually do it. Microsoft 365 Copilot works inside Word, Excel, PowerPoint, Outlook and Teams on the tenant's files, mail and meetings, so it changes the writing: drafting, explaining a spreadsheet, recapping a meeting, all where the work already sits. Glean changes the finding instead, on the premise that in a large company the document already exists and someone has already answered the question, and neither is where you would look, so its connectors reach across drives, wikis, tickets and chats. Pick Copilot when work genuinely lives in Microsoft's world and Glean when the truth is scattered across dozens of systems; on permissions the two are more alike than either pitch suggests, and that likeness is what evaluations most often miss.
- Glean vs Gemini NotebookBoth refuse to answer from the open web, and they close the world in different places. Gemini Notebook is deliberately closed to the sources you upload, answering strictly from that material with passage-level citations you can click, and building study and briefing artefacts around it. Glean closes the world to your organisation instead, indexing every connected application and filtering results to what each person's permissions allow. Pick Gemini Notebook when the corpus is a project's documents and mastery of them is the job; pick Glean when the corpus is the company itself and nobody knows where anything lives.
- Glean vs PerplexityThe whole decision is which corpus holds your answer. Glean indexes the organisation's applications and answers with citations, showing each person only what their permissions allow, so the knowledge sprawl across drives, wikis, tickets and chats becomes one queryable surface. Perplexity answers from the open web with numbered, checkable citations, and Deep Research turns autonomous reading across hundreds of sources into a structured report. Pick Glean when the answer already exists inside the company and nobody can find it, and Perplexity when it exists in the world and you need it current and cited; most organisations of any size eventually want both, because those are genuinely different questions.
- Glean vs Slack AIEstate search against the workspace's own memory. Glean indexes the organisation's applications, drives, wikis, tickets and chats, and answers with citations while respecting each person's permissions, one queryable surface over the sprawl. Slack AI reads a single corpus natively: answers from the workspace's message history, channel recaps, thread summaries, bundled by Slack plan tier rather than sold separately. Pick Glean when the answers live across many systems and permission-aware citations are the requirement; pick Slack AI when the candid knowledge your team actually needs was said in Slack, and the question is whether estate search is necessary at all.
- Grok (xAI) vs KimiTwo challengers to the default assistants, separated by what they know: Grok reads X and the live web as it answers, Kimi turns research into artefacts you can show. Pick Grok for fast-moving topics, breaking stories and anything a fixed-cutoff model would hedge on, weighing the brand-safety caveat before it becomes a company default. Pick Kimi when the output should be a briefing, a deck or a quick website rather than a feed-fresh answer, on a free tier generous enough to learn every surface before paying.
- Grok (xAI) vs PerplexityBoth trade on currency; they differ on evidence. Grok's grounding in X and the live web makes it exceptional at what is happening right now, with frontier reasoning on its top models. Perplexity is built for verification: numbered citations on every answer, deep research across hundreds of sources, and a browser that carries the engine into the page. Pick Grok for immediacy and following live discussion; pick Perplexity when answers must be checkable and provenance matters.
- Guru vs GleanThe split here is philosophy: curate the knowledge or index it as it lies. Pick Guru when answers must trace to content an owner has verified, with automated quality work flagging stale and conflicting material behind them; pick Glean when the estate is too sprawling to curate and the need is permission-aware search and Work AI across every application at once. Verification-led organisations lean Guru; coverage-led ones lean Glean.
- Guru vs Sana (Workday)Both are enterprise knowledge platforms; the split is what sits on top of the knowledge. Pick Guru when the problem is trusted answers: a curated, verified knowledge base whose agents give cited, permission-aware answers in Slack and Teams, with conflict detection, staleness flags and verification states maintaining the content behind them. Pick Sana when the need extends into learning itself: structured courses generated from internal documents, personalised paths by role and progress, and knowledge agents answering from the same foundation. Buying the wrong one is expensive in both directions: a learning platform will not repair distrusted answers, and a verification layer will not train anyone.
- Microsoft Copilot vs Slack AIThe suite assistants of a mixed estate, for organisations that hold both. Microsoft 365 Copilot works inside Word, Excel, PowerPoint, Outlook and Teams on your organisation's files, mail and meetings, with a free assistant below it in Windows and Edge; Slack AI reads the workspace conversation, answers from message history, channel recaps and thread summaries, bundled by Slack plan tier, so in a Slack-plus-Microsoft-365 shop the two cover different corpora, documents and mail against the candid channel record. Pick Microsoft Copilot when the working day runs through Office files, Outlook and Teams meetings; pick Slack AI when the decisions and context your team needs were said in Slack, which Copilot cannot read.
- Gemini Notebook vs AnythingLLMBoth ground answers strictly in documents you provide; the deployment differs entirely. NotebookLM, renamed Gemini Notebook in July 2026, is Google's hosted, polished experience: passage-level citations, audio and video overviews, mind maps and study aids, free enough for real work. AnythingLLM is the self-hosted equivalent: local ingestion, vector store and model backend, workspace isolation and nothing leaving your hardware. Pick NotebookLM for the best grounded-notebook experience where cloud is acceptable; pick AnythingLLM when the documents cannot leave your infrastructure.
- Gemini Notebook vs PerplexityThe cleanest split in the guide: Perplexity searches the world, NotebookLM masters the documents you give it. Pick Perplexity for current, open-web questions with citations; pick NotebookLM when the corpus is defined, your research pile, contracts or course material, and answers must trace to it and nothing else.
- Sana (Workday) vs GleanBoth answer questions from company knowledge; the difference is what sits on top. Glean is enterprise search first: permission-aware, cited answers across the whole application estate, with assistants built on that governed foundation. Sana is learning first: courses generated from internal content, personalised paths and knowledge agents, now inside Workday's orbit. Pick Glean when finding and grounding is the organisational problem; pick Sana when the knowledge must become structured learning, especially in a Workday shop.
