Glean vs WisdomAI: Where They Overlap, Where They Differ, and How They Work Together

We implement both Glean and WisdomAI, so we get asked to compare them regularly. The question is almost always framed as a choice: which one should we buy?

That framing is the problem. These platforms overlap far less than their marketing suggests, and the organisations that get the most out of either are usually the ones that understood what each is genuinely for.

Where they are similar

The resemblance is real, which is why the confusion happens.

Both let a person ask a question in plain English and get an answer from the organisation's own information, rather than from a model's general knowledge. Both respect existing permissions, so what you can see through them is what you could already see. Both are platforms you build on rather than finished applications — agents get created on top of each. And both fail in the same way for the same reason: point either at a business whose information is fragmented and it will answer confidently and wrongly.

So the preconditions are shared. The connection work, the permissions modelling and the discipline about what "customer" means matter equally to both.

Where they differ

The difference is what kind of question each is built to answer.

Glean answers questions about your documents. It indexes the unstructured record of how a business actually operates — the wiki page, the Slack thread, the ticket, the contract, the deck someone made eighteen months ago. When the answer is written down somewhere but nobody knows where, that is Glean's territory.

WisdomAI answers questions about your numbers. It queries the data warehouse directly and shows the query it ran. When the answer requires counting, grouping or comparing something across a large volume of records, that is WisdomAI's territory.

Consider one client relationship. "What did we commit to in the contract, and what has the account team been saying about them?" is a document question. "What have they spent with us this year by product, and how does that compare to the same period last year?" is a numbers question.

Both are reasonable questions about the same customer. No single index answers both well, because a warehouse and a document store are different things with different shapes.

How they work together

The interesting work happens where the two meet, because most real business questions are a blend.

Take the churn question a retention team actually asks: which accounts are at risk, and why? The first half is numbers — usage decline, billing changes, support volume, all in the warehouse. The second half is almost entirely documents: the complaint in the ticket queue, the tone of the last account review, the thing the account manager flagged in chat three months ago.

Answer only the numbers half and you get a list of accounts with no explanation. Answer only the documents half and you get anecdotes with no idea how widespread they are.

An agent that draws on both gives the retention team something they can act on: the accounts, ranked, with the reason attached.

The same pattern shows up repeatedly. A finance agent that assembles the month-end pack needs the warehouse for the numbers and the documents for the commentary about why they moved. An executive briefing needs what happened, from the data, and what people are saying about it, from everywhere else.

How to think about sequencing

If you are starting from nothing, the honest guidance is to start with whichever pain is louder.

If your people cannot find what the business already knows — if the same question gets asked and re-answered, if institutional knowledge leaves when people do — start with search.

If your data team is a queue and decisions wait on it, start with conversational analytics.

What we would avoid is buying both simultaneously as a platform play, before either has a job to do. The connection work is shared, so the second is much cheaper than the first, and there is no advantage in doing them at once beyond the appearance of momentum.

The honest summary

These are not competitors so much as two halves of the same problem. Documents and numbers are where a business keeps what it knows, and an organisation that can interrogate both has something neither platform delivers alone.

The question is not which one wins. It is which half of your problem hurts more today.