Research assistant

AI research agent that does your market and prospect research.

Hand WorkAgent a question and it reads the sources, cross-checks the facts, and hands back a tight brief with the findings that matter, not a wall of links.

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Flat $149/mo No per-seat fee No credit meter Cancel anytime

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Delegate a task · watch it run · get the result

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In short

Last updated July 2026

An AI research agent reads the sources, cross-checks the facts and hands back a sourced brief on a market, competitor or prospect, so you get answers instead of 40 open tabs. It is strong on anything publicly documented (positioning, pricing, news, hiring signals, prospect background) and honest about what it cannot reach, flagging unverified claims rather than inventing them. It runs on demand or on a schedule at $149 a month flat, against $1,500 to $5,000 a month for a human analyst. The safeguard that makes it usable is inline citations you can click, so checking the brief takes minutes.

Flat price: $149/mo, no credit meter
Human research analyst: $1,500 to $5,000/mo
Every factual claim: Cited inline, gaps flagged

What it handles

Market, competitor and prospect research, summarized.

Built for founders and operators who need answers, not 40 open tabs. Hand it the job and it delivers a sourced research brief, end to end.

Market and competitor scans

Prospect and account research before a call

Summaries of long reports and threads

Fact-checked briefs with sources

How it works

Delegate it like you'd brief a teammate.

Describe the task

Tell WorkAgent what you need in plain English. No prompt engineering.

It does the work

It runs every step of the job: reading, searching, drafting, checking.

It asks if unsure

For the genuine judgment calls, it checks with you. Otherwise it keeps going.

You get the result

A finished deliverable lands on your desk, with the work shown.

Compare

AI research agent vs a deep research subscription vs a human analyst

The five realistic ways a US business gets desk research done, and what each is actually good for.

Option	Typical US cost	Knows your business context	Best for
WorkAgent research agent	$149/mo flat	Yes, after one briefing	Recurring market, competitor and prospect research
General deep-research subscription	$20 to $200/mo	No, you re-explain every time	One-off long documents on broad questions
Offshore research VA	$1,500 to $3,000/mo	Yes, after training	Light judgment calls and list cleanup
In-house research analyst	$5,000+/mo fully loaded	Yes	Primary research, interviews, strategy work
Doing it yourself	Your evenings	Yes	The one question a quarter that really matters

Subscription pricing reflects the published consumer and pro tiers of the major deep-research tools as of July 2026. Confirm current pricing on each vendor page before budgeting.

How accurate is an AI research agent?

Accurate enough to save you most of the work, and not accurate enough to publish unread. That is the honest answer, and any vendor telling you otherwise is selling you something. Surveys of professional researchers using AI daily consistently find a meaningful minority reporting errors, and accuracy is their number one complaint.

What separates a useful research agent from a dangerous one is whether you can check it. WorkAgent cites its sources inline so you can click through to the page a claim came from, and it flags what it could not verify rather than filling the gap with a confident guess. The point is not a tool that is never wrong. It is a tool whose work you can audit in two minutes instead of redoing in two hours.

The verification problem, taken seriously

The strongest criticism of research agents is that verifying synthesized output is a bigger slog than doing the research yourself. If you have to check every sentence against a source, the agent has not saved you anything, and studies of deep-research tools have found a real share of claims that cannot be traced back to the citation attached to them.

So the design goal is a brief you can spot-check, not one you must re-derive. Every factual claim carries a link. Anything the agent could not confirm is listed separately as an open question instead of being smoothed into the prose. You read the brief, click the two or three claims your decision actually rests on, and move on.

What it researches well, and what it cannot reach

It is strong on anything publicly documented: market and competitor scans, a company's positioning and pricing, recent news and hiring signals, product comparisons, and background on a prospect before a call. This is the bulk of the research a founder or a salesperson actually needs, and it feeds directly into building a qualified lead list and the outreach that follows.

It is weak where the data is not public. Private company financials, anything behind a paywall or a specialist database, and genuine primary research such as talking to customers are outside what any research agent can do honestly. When the information is not there, WorkAgent tells you it is not there. That is more useful than a plausible paragraph invented to fill the space.

AI research agent vs a $200 deep research subscription vs an analyst

General deep-research tools are good at producing a long document on a broad question. They are not connected to your CRM, they do not know your ICP, and they will not run the same account research every week without being asked. A research analyst or VA does know your context, costs $1,500 to $5,000 a month, and cannot turn around twenty accounts before your morning calls.

A research agent sits between them. It knows your context because you briefed it once, it runs on a schedule or on demand, and it costs $149 a month. The realistic use is not replacing an analyst on the hardest question of the quarter. It is doing the twenty routine research jobs a week that currently either eat your evenings or quietly do not happen. See how AI agent pricing compares across the market if you are building a budget.

How to brief a research agent so the output is usable

Most disappointing research output traces back to a vague brief, not a weak model. "Research our competitors" produces a generic scan. "For these six competitors, tell me what they charge for a 10-seat plan, what they claim as their main differentiator on their homepage, and whether they have shipped anything in the last 90 days" produces something you can act on before lunch.

Three things make a brief work. Name the exact sources you trust and the ones you do not. State the decision the research is feeding, because that tells the agent what to leave out. And fix the output format, so twenty briefs come back comparable rather than twenty different essays. Brief it once the way you would brief a new hire, and the format holds for every run after that.

Where research fits in the rest of the work

Research is rarely the end of a task. A competitor scan turns into a positioning note. Prospect research turns into a list, then into a sequence, then into CRM records somebody has to keep current. Teams that only automate the research step usually find the bottleneck simply moves one square to the right.

That is why WorkAgent runs the same job across research, list building, outreach and reporting rather than stopping at the brief. It is the same agent whether you use it as a research assistant, an AI virtual assistant for the general admin load, or a full AI employee you hand a standing weekly job to.

FAQ

Questions people ask about AI research agents

How accurate are AI research tools?

Accurate enough to do the first 80% of the work, and not accurate enough to trust unread. Professional researchers using these tools daily report errors often enough that accuracy is their top complaint. The practical safeguard is inline citations you can click and an explicit list of what the agent could not verify, so checking the brief takes minutes rather than hours.

Can AI replace traditional market research?

It replaces the desk research, which is most of the volume: competitor scans, positioning, pricing, news, hiring signals and prospect background. It does not replace primary research. Talking to real customers, running interviews and reading a room are things no agent does, and the insight that changes a strategy usually comes from exactly there.

Can AI do company research on private companies?

Only up to the edge of what is public. It will find the website, the news, the job postings, the reviews and the public filings if any exist. Private financials, anything behind a specialist database, and internal detail are genuinely out of reach. A good research agent says so instead of inventing a plausible number, which is the failure mode to watch for.

Is a $200 a month deep research subscription worth it?

It is worth it if you need long documents on broad, one-off questions. It is the wrong tool for recurring business research, because it does not know your ICP, does not connect to your CRM, and will not run the same twenty-account scan every week unprompted. For repeated, contextual research a dedicated agent at $149 a month does more of the actual job.

How do I know the AI is not making up its sources?

You click them. That is the only real answer, and it is why any research output without inline, checkable citations should be treated as a draft rather than a finding. Hallucinated or non-supporting citations are a documented problem across deep-research tools, so the safeguard has to be structural: link every claim, and check the two or three the decision rests on.

How much should I budget for an AI research agent?

Between $150 and $500 a month for an agent that does contextual, recurring research for your business. General deep-research subscriptions run $20 to $200 a month but do not connect to your systems. A human research analyst or VA costs $1,500 to $5,000 a month and is the right spend when the question needs primary research or real judgment.

What is the difference between an AI research agent and ChatGPT?

ChatGPT researches when you prompt it, from what you give it, and hands back text. A research agent holds your context, runs on a brief or a schedule, cites its sources, flags its gaps and delivers the same format every time so you can compare across accounts. The difference shows up on the twentieth account, not the first.

Can it research prospects before a sales call?

Yes, and this is the highest-value routine use. Give it the account list and it returns a short brief on each: what the company does, recent news and hiring signals, likely pain points and a checkable reason to reach out. It is the prep work salespeople know they should do and skip when the calendar gets full.

More it can do

WorkAgent is the same AI agent whether you put it to work as an AI virtual assistant, an AI assistant for business, or a full AI employee.

Go deeper: read research tasks to delegate to an AI agent, or browse the full AI agent playbook on the blog.

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