Microsoft Copilot alternatives and competitors: enterprise Copilot replacements compared on price, coverage and permissions

The best Microsoft Copilot alternative depends on where your answers live, and there are only three cases. If most of your knowledge is outside Microsoft 365, pick a neutral cross-app search product: InSearch, Glean, Dropbox Dash or GoSearch all read Slack, Notion, Jira and Salesforce natively. If you are a Google shop, Gemini Enterprise at $30 per seat is the like-for-like swap. If you want to self-host, Onyx is the credible open source route.

The case nobody states plainly is the third one, so we will: if 85 percent of what your people need is already in SharePoint, Teams and Outlook, stay on Copilot. Nothing on this page will beat it there, and the Office integration is not something a search product replaces. Switching to save money you were never going to spend is not a win, and neither is losing Word and Excel assistance to gain connectors you do not need.

Our honest shortlist for a US company between roughly 50 and 500 people running a mixed stack: InSearch or GoSearch if you want a published per-seat price and a fast start, Dropbox Dash if you are already a Dropbox shop and stay under 100 users, Onyx if you have engineers who want to own the deployment, and Glean if you are above 500 people with a complex estate and a real budget line. Most of them sit next to Copilot rather than replacing it.

Microsoft Copilot competitors get lumped into one list when they are really four groups doing different jobs, and telling them apart is the fastest way to shorten an evaluation.

Cross-app enterprise search is the group that competes on the actual gap: InSearch, Glean, GoSearch, Dropbox Dash and Onyx all answer one query across your whole stack with citations, scoped to what each person can open. They do not write your PowerPoint. They find the thing Copilot cannot see.

Rival platform assistants are Gemini Enterprise and Slack enterprise search. Each is excellent inside its own ecosystem and progressively weaker outside it, which makes them a swap rather than a solution if your problem is fragmentation. Choosing Gemini over Copilot because your knowledge is scattered just moves the boundary; it does not remove it.

Knowledge management platforms such as Guru and Bloomfire are listed as Copilot competitors constantly and mostly should not be. They are strong at curating and verifying content somebody wrote deliberately, and structurally weaker at surfacing the answer that only ever existed in a Slack thread from March. If your problem is that the documentation was never written, a knowledge base does not fix it.

Build-it-yourself platforms are the fourth group, and confusingly Microsoft sells one: Copilot Studio. So do Dust and Azure AI Foundry. They expect someone to build the thing that finds the answer before you get one, which is powerful with a platform team and an expensive detour without.

Copilot is priced in layers, and the seat number quoted in most articles is only the first one. Every figure below was read from microsoft.com on August 22, 2026.

Two details decide more budgets than the headline. The first is that the add-on model means you cannot compare $30 against a competitor's $30: you have to add the base plan, which puts the honest comparison at $69 or $90 a seat. The second is the promotional footnote on Copilot Business. An $18 price that reverts to $21 in year two is a 17 percent increase already scheduled into your renewal, and it belongs in the model now rather than as a surprise later.

The plans without Teams are cheaper and easy to miss: E7 at $90.45, E5 at $51.45 and E3 at $30.45 per user per month. If you already run Teams under a separate arrangement, that is real money at any headcount.

Three reasons come up repeatedly, and only one of them is about the assistant. The first and largest is coverage. Copilot answers from tenant content, so anything in Slack, Notion, Jira, Zendesk or Salesforce is invisible without Graph connector work. Companies discover this after rollout, when people ask why the assistant does not know about the incident that was debugged entirely in a Slack channel.

The second is what SharePoint can actually index, and this one surprises people because it predates Copilot entirely. Microsoft documents the limits: the crawler downloads up to 150 MB for most file types and 512 MB for PDF, PPTX, PPT, DOC and DOCX; it parses a maximum of two million characters per item; and it spends a maximum of 30 seconds parsing a single item. The one that catches large organizations is different in kind: when more than 10,000 distinct users or security groups have access to an item, Microsoft states the item is not searchable by any user. Your most widely shared document can be the one nobody can find, and no amount of AI on top changes it.

The third is the shape of the bill. The $30 add-on sits on a base plan, agent work draws on Copilot Credits at $200 per 25,000, and SharePoint agents are metered per interaction, with Microsoft stating that each interaction uses 12 messages. Teams that modeled a per-seat cost and then built agents on top find the second and third layers arrive as a variable line item nobody forecast.

For permission-aware internal search specifically, the shortlist narrows fast, because the hard part of this category is not retrieval. It is entitlement. The products that handle it properly enforce item-level permissions at query time, per person, inherited from the source system rather than copied into a separate list: InSearch, Glean and Slack enterprise search all do this, and Copilot itself does it well within Microsoft 365.

The failure modes are worth knowing by name, because vendors rarely volunteer them. Scheduled identity sync is the common one: Google documents Gemini Enterprise identity sync running every 30 minutes to every 7 days, which means a revoked user can remain able to retrieve content for the length of that window. Tier-gated permission sync is the second: Onyx is upfront that permission-syncing connectors belong to its Enterprise Edition, so the free tier is not the same product for this purpose. Index-time snapshots are the third, where access is evaluated when the document was crawled rather than when the question is asked.

There is one test that separates these products, and almost nobody runs it. During any trial, have a person in a deliberately restricted role ask five questions whose answers sit in documents they are not entitled to open, then revoke a permission and immediately ask again. A correct product returns nothing, both times. A product with a sync window returns the answer for the length of the window, and you will have found that out in a trial rather than in an audit. Our write-up on permission-aware AI search covers what a correct result looks like in detail.

For enterprise search over your own content, Onyx, formerly Danswer, is the serious open source option: MIT licensed, genuinely self-hostable, with more than 40 connectors, chat and agents. If your objection is that you do not want company knowledge sitting in somebody else's index, Onyx answers it properly, and the license means you can read exactly what the software does.

Two honest caveats. Onyx states that permission-syncing connectors are an Enterprise Edition feature rather than part of the free tier, and permission sync is the hard part of enterprise search. A self-hosted index that returns documents a person is not entitled to see is worse than no search at all. And free is not free: somebody owns the infrastructure, the connector breakages, the model costs and the upgrade path. That is a fair trade for a team with platform engineers and a poor one for a 60-person company with an overloaded IT manager.

There is also a free Microsoft tier that gets missed in this conversation. Copilot Chat is included at no additional cost with eligible Microsoft 365 subscriptions, but it is grounded in web content rather than your work data. It is a genuinely useful drafting tool and it is not an internal search product, so it does not substitute for either Copilot proper or anything else on this page.

1. Count the boundary first. Take twenty real questions your team asked last month, in the words they used, and mark which ones have answers inside Microsoft 365 and which do not. If eighteen are inside the tenant, stop: keep Copilot. If seven are outside it, you have quantified the gap and the rest of the evaluation has a purpose.
2. Model all three cost layers before you compare anything: base plan plus the $30 add-on, plus Copilot Credits if agents are in scope. Then put the same total against each alternative rather than comparing $30 to $20.
3. Ask every vendor two questions on the first call: what is the minimum seat count and contract term, and is the AI functionality inside the per-seat price or billed separately. These disqualify vendors faster than any feature matrix.
4. Connect only your top two non-Microsoft systems in each trial. Full connector rollouts turn a two-week evaluation into a two-month project and never change the answer.
5. Run the same twenty questions through each product and score whether the answer is correct, cited and current. Citations are the whole game: an uncited answer cannot be checked, so it cannot be trusted.
6. Test permissions deliberately, using the restricted-role test above. This catches the most serious failures and almost nobody runs it.
7. Decide whether it is a replacement or a layer. For most mixed-stack companies the answer is a layer: Copilot stays in Office, and a neutral search product covers the estate. Price both options rather than assuming it has to be one or the other.

If you would rather start at step five than step three, that is exactly the argument for a product with a published price. You can put unified search in front of your twenty questions this afternoon and find out whether the answers are actually there before anyone books a call.