AI Deep Research
Ask the kind of question that would cost you an afternoon of tabs. An AI agent plans the search, reads what it finds, and writes the answer back with a citation on every claim — so you can check the ones that matter instead of trusting the whole thing.
The kinds of question this handles
Deep research is not one shape. What these have in common is that a single search does not answer them — they need several passes, and they need the answer to be checkable afterwards.
Market entry
Who already sells here, how buyers buy, what it costs to be credible. The answer is only useful if you can follow it back to the source.
Regulatory and compliance
What a rule requires, when it applies, and to whom. Every obligation is tied to the text it comes from rather than to the agent’s memory.
Competitor and pricing research
What a competitor charges, what changed, and what they said about it. Public record, linked, so you can quote it in a meeting.
Technical evaluation
Build or buy, this library or that one. The agent surfaces what each argument rests on, including the parts that undercut the popular answer.
Due diligence on a company
Registrations, filings, leadership, published history. Facts with provenance, and an explicit note where the record is thin.
A literature-style review
Many sources on one question, read and reconciled — including where they disagree, which is usually the interesting part.
How it works, in three steps
- 1
Ask the real question
Not a keyword. State what you are trying to decide and what would change your mind — the agent plans its search from that.
- 2
The agent reads, not just searches
It runs several passes, opens the sources it finds, and keeps the passage behind each claim rather than the search-result snippet.
- 3
Check the citations that matter
The answer comes back written, with a link on every claim. Open the two or three that carry your decision and verify them yourself.
Why this beats a chatbot answer
A chat model answers from memory and sounds equally confident whether it is right or not. The difference here is not eloquence — it is whether the answer can be audited.
| A chat answer | Veii agent | |
|---|---|---|
| Where facts come from | Training data, from an unknown date | Pages read during the run, linked in the answer |
| Checking a claim | You re-search it yourself | Follow the citation attached to that sentence |
| Invented sources | A plausible-looking link that does not exist | Citations are checked against what was actually opened |
| Depth | One pass, one answer | Several passes, with follow-up questions the first pass raised |
| Disagreement between sources | Flattened into one confident paragraph | Surfaced, with both sides attributed |
| What you get at the end | Text in a chat window | A report in your workspace the agents can build on |
Who this is for
Founders making an expensive call
The decisions that matter early are the ones you cannot undo cheaply — a market, a platform, a pricing model. You do not need a confident answer, you need one whose reasoning you can inspect before betting on it.
We are choosing between launching in Germany or the Netherlands first for a B2B SaaS selling to logistics firms. Research market size, competitive density, buying cycles and any local requirements, and cite everything so I can check the parts I doubt.
Consultants who have to be right in public
You will present this and someone will push back on a number. The value of a citation is not the citation — it is that you read it before the meeting and know exactly how strong it is.
Research the current state of extended producer responsibility rules for packaging across France, Germany and Italy. I need the obligations, the thresholds, and the legal source for each, because I am presenting this to a client’s board.
Product and strategy teams
Competitive research rots fast and gets copied between decks until nobody remembers the original source. Research that carries its links can be re-run and re-checked next quarter instead of re-believed.
Research how the three largest players in project management software changed their AI features and pricing in the last 18 months. Give me what they shipped, when, what they charge for it, and a link for each claim.
Frequently asked questions
What is AI deep research?
It is an AI agent doing the multi-step reading a hard question actually needs: planning what to look for, running several rounds of search, opening and reading the sources, then writing an answer where each claim points back to the page it came from. The point is not a longer answer — it is one you can audit.
Is the deep research tool free?
Yes. Veii runs on free-tier models and free, open sources, so a research run costs you nothing and no credit card is asked for at signup. There is no separate per-report charge.
How do I know the citations are real?
Citations are checked against the pages the agent actually opened during the run, not generated alongside the prose. A model writing from memory will happily produce a link-shaped string that leads nowhere; a claim here is tied to a source that was genuinely read, and gaps are shown as gaps.
How is this different from asking ChatGPT?
A plain chat answer comes from training data of unknown vintage and reads the same whether it is right or wrong. This runs a real search-and-read loop, several passes deep, and hands back the sources with the answer — so checking a claim means clicking a link rather than starting your own research.
How long does a research run take?
Longer than a chat reply and much shorter than doing it yourself — typically a few minutes, because the agent is opening and reading pages rather than answering from memory. It runs in your workspace, so you can leave it and come back to the finished report.
Can it research in languages other than English?
Yes. It reads sources in the language they are published in and answers in the language you asked, which matters for exactly the questions where local sources are the only good ones — national regulation, regional competitors, local market data.
What happens to the report afterwards?
It lands in your workspace rather than scrolling away in a chat. From there the same agents can turn it into a deck, pull the findings into a report in your brand voice, or reuse it as context the next time you ask a related question.
Ask your hardest question
Create a free workspace and give it the question you have been putting off. Read the citations behind the first answer before you trust the second one.
Start researching free