Meet Priya, the AI research assistant who keeps tabs on your market so you don't have to.

What problem does an AI research analyst solve?

Research is the work that always loses to whatever's on fire. Keeping up with competitors, tracking your market, briefing a decision properly — it's valuable, it's never urgent, and so it slides. The result is decisions made on stale information and surprises you should have seen coming. That's the job Priya owns.

Competitors change and you find out late

A rival drops their price, ships a feature, or shifts their positioning — and you hear about it from a customer weeks later. Manually checking competitors is the definition of important-but-never-urgent. Priya watches the targets you name on a schedule and flags what actually changed, so you're informed when it happens, not after it costs you a deal.

Proper research takes hours nobody has

Briefing a decision well means reading widely, comparing sources, and separating signal from noise. Done right it's half a day; done in the gaps it's a rushed skim. Priya does the gathering and the first-pass synthesis from primary sources, so you start from a briefed summary with citations rather than a blank tab and a deadline.

The same questions get researched from scratch

Market sizing, a vendor comparison, the state of a trend — these get re-researched every time they come up because last time's work wasn't kept. Priya maintains a living research doc that updates as things change, so the knowledge compounds instead of evaporating after each project.

AI answers sound confident but you can't check them

Generic AI will happily summarise a market without telling you where any of it came from, which is worse than useless for a real decision. Priya cites every finding to its primary source and shows what was read, so a claim is something you can verify, not just trust.

How does an AI research analyst work — and can I trust what it finds?

Priya works from primary sources and shows you all of them. You define what to track; the teammate gathers, synthesises, and cites. Here is the full loop.

Tell Priya what to track and where to look

Name your competitors, the market or topics you care about, and the recurring questions that matter. Connect the research tools and document sources you want it to draw on. The work is grounded in what you point it at, not the open guess.

Priya gathers from primary sources

Priya pulls from the web with built-in web search and deep research, and from your connected sources — competitor sites, search results, the tools you've connected — reading the originals rather than summarising summaries. This is what makes a finding traceable instead of hearsay.

Then it synthesises and cites

Priya compares and condenses its findings into a clear answer — what changed, what it means, what's worth your attention — with every claim linked to its source. You get the briefing and the receipts together.

Priya keeps a living research doc current

Rather than a one-off report, Priya maintains a living document that updates as things change — a competitor tracker, a market brief, a topic file — so the research compounds and you're never starting over.

You review, and Priya watches on a schedule

Read the synthesis, follow any citation you want to check, and act. Set the teammate to monitor on a cadence — weekly competitor scan, monthly market update — and it flags what's new each time. Priya researches and reports; the decisions, and any advice, stay yours.

Priya cites primary sources and shows its work, so findings are checkable. It stays in research — never giving financial or buy-sell advice — and every reply shows the steps taken and the sources used.

How Priya gets more useful over time

Priya isn't a tool you reconfigure each time. The longer it works with you, the less you have to repeat yourself — here's why.

A memory of your business

Priya keeps a private notebook of your competitors, your trusted sources, and the questions you keep asking. It doesn't reset between sessions, so you stop re-explaining the basics.

Improves from your corrections

A daily reflection proposes up to three refinements to Priya's own instructions, which you approve — so it gets better at research instead of repeating the same miss. Priya never "gets smarter" on its own.

Runs at the autonomy you set

You decide how independently Priya works on its own. Work it starts itself — scheduled runs and follow-ups — never makes destructive or out-of-lane changes without checking with you first, and every decision is logged.

Where does an AI research analyst fit across different businesses?

Priya owns the same cycle — gather from primary sources, synthesise, cite, keep current — but the research looks different in every business. A few concrete situations:

Any SMB

Always-on competitor monitoring

A growing team can't spare anyone to watch the competition, so it flies blind. Priya tracks the named rivals' pricing, features, and messaging on a weekly cadence and flags what changed — keeping a living competitor doc current — so the team reacts to moves in days, not when a customer points them out.

Competitor moves caught in days, with the source linked — no dedicated analyst needed.

Marketing & Content

Briefing content and campaigns

A content lead needs the landscape before writing — what's been said, what the data shows, where the gaps are. Priya gathers and synthesises the research with citations, so the writer starts from a briefed, sourced foundation instead of an afternoon of open tabs.

Hours of pre-writing research reduced to a cited brief to start from.

Founders & Strategy

Sizing a market or vetting a direction

A founder weighing a new segment needs a fast, honest read on the market and the players. Priya assembles a market brief from primary sources — size signals, key players, trends — every claim checkable, so the decision rests on something more than a hunch.

A sourced market brief in hours, not a week of part-time digging.

Professional Services

Topic and background research

A firm needs background on a company, a sector, or a question for client work. Priya does the primary-source gathering and first-pass synthesis with full citations, so the professional spends their time on judgement and analysis rather than the legwork of finding and reading sources.

The research legwork handled and cited; expert time spent on analysis.

What does an AI research analyst connect to?

Priya draws on Kuvai's built-in web search and deep research and writes its findings into the documents your team already uses — only the tools you connect and assign to it.

Research & search

Built-in web searchDeep researchSemrushGoogle Search Console

Where findings get written

NotionGoogle DocsGoogle SheetsLiving documents

Your own sources

Google DriveUploaded files

Notifications

SlackGmail

You connect each tool by signing in through its own OAuth screen, and Priya only works in the tools you've connected and assigned to it. The teammate works from primary sources and the tools in Kuvai's catalog, and cites everything it reports.

Can I trust an AI research assistant's findings?

Research is only useful if you can rely on it, so Priya is built to be checkable rather than merely confident. The model is the same as every Kuvai teammate: Priya shows its work, and you decide what to do with it.

Every finding is cited

Priya links each claim to the primary source it was read in, so you can verify anything in a click. A finding is something you can check, not a black-box assertion you have to take on faith.

Priya stays in research

Priya gathers and synthesises information — it does not give financial, legal, or buy-sell advice. The judgement calls and the decisions stay with you; the teammate makes sure they're well-informed.

Everything is on the record

Every reply shows the steps taken and the sources read, and findings live in a document you own. You always know what Priya checked, when, and against which sources — and your data stays yours.

How is an AI research analyst different from ChatGPT, Perplexity, or doing it yourself?

Doing it yourself gives you trustworthy research and costs you the hours you don't have, so it's the work that never happens. A general chatbot like ChatGPT will answer instantly but often without telling you where anything came from — fine for a first pass, dangerous for a decision. A search tool like Perplexity is great for a one-off question but doesn't watch your competitors next week or keep a living brief current.

Priya combines what each does well: gathering from primary sources and citing everything like a careful analyst, running on a schedule so monitoring actually happens, and keeping a living research doc so the knowledge compounds instead of resetting each time. The teammate accumulates your context — who you track, what you care about — so the research gets more relevant to you, and works alongside the rest of your Kuvai AI team, with you deciding what the findings mean.See how Kuvai compares to ChatGPT for business