AI Agents for Market Research: Cited & Scheduled

Market research goes stale the moment you finish it. The competitor pricing you checked last month has changed, the trend you spotted has moved, and nobody has time to redo the search every week. AI agents for market research fix this by running the same cited investigation on a schedule and delivering the result where you already work.

What a market research agent actually does

A market research agent is a configured AI worker that runs a defined research task end to end: it searches the web, reads sources, pulls from your own knowledge base, and writes up a briefing with citations. Unlike a one-off chat, it runs the same task the same way each time, so this week's briefing is comparable to last week's.

On AgentWorks you start from 50+ pre-built agents available on the Free plan, or build your own on Pro. A typical research agent is told what to track (a market, a set of competitors, a regulatory area), which sources to prioritise, and what shape the output should take — a short executive summary, a bullet list of changes, or a full brief. The key difference from a generic search is repeatability: same prompt, same structure, same sources every run.

Because every claim carries a citation from AgentWorks' cited Deep Research tool, you can click through and verify. And when the answer isn't in the material provided, the agent says "I don't know" rather than inventing a number — which matters when a fabricated stat could steer a real decision.

Cited by default, so you can trust it

Research you can't verify is just an opinion with confidence. AgentWorks agents ground their answers in two places: live web search with inline citations, and your own knowledge base with RAG. You upload PDFs, DOCX, CSV or TXT files, or connect URLs, Notion and Confluence, and the agent retrieves from that material using pgvector, citing the source passage.

This dual grounding matters for market research specifically. Public web sources give you the outside view — competitor announcements, pricing pages, news. Your internal knowledge base gives you the inside view — past reports, your own data, positioning notes. A good research agent blends both and shows its work.

Before anything reaches a model, PII is masked at the gateway, and AgentWorks runs on no-training, zero-retention model contracts — so your research inputs aren't used to train anyone's model. You can read the full detail on the trust page.

Repeatable and scheduled: the weekly briefing

The real leverage is scheduling. On the Pro plan and above you can run agents daily, weekly or monthly, or trigger them from a webhook. Set a competitive-landscape agent to run every Monday at 7am, and the briefing is waiting before your first meeting.

Scheduled runs turn research from a project into a stream. You get:

• Comparability — the same task each week surfaces what changed, not just what exists.
• No drift — the agent doesn't skip a week because someone was busy.
• A record — every run is logged, so you can look back at what the market looked like a month ago.

Delivery goes where your team already is. Connect Slack, Teams, Gmail and more and the briefing lands in a channel or inbox automatically. No dashboard to remember to check.

Multi-agent pipelines for deeper reports

A single agent is enough for a weekly pulse. For a proper report, chain several with multi-agent pipelines: a research agent gathers and cites sources, a draft agent structures the findings, a review agent checks the claims against the citations, and a final step formats the output. Each step is logged with its own risk classification, and you can require human approval before anything is published or sent externally.

This mirrors how a research team actually works — gather, draft, review, ship — but runs in minutes and repeats on schedule. You can export the finished report as Word, PowerPoint, Excel or PDF directly from the live canvas, then open it in Google Drive or OneDrive to share.

Choosing the right model for the job

Different research tasks want different models. A quick weekly scan doesn't need the most expensive reasoning model; a deep synthesis of a large document set does. AgentWorks gives you GPT-5, Claude, Gemini and Mistral in one place, and the AUTO router sends each message to the cheapest model capable of handling it. Gemini's up-to-1M-token context is useful when an agent has to read a large corpus of reports in one pass.

You pay from a single transparent euro wallet — tokens are billed at cost plus 10%, with live per-run spend visible so a runaway research job never surprises you. See the pricing page for the full breakdown, including the €5 one-time credit on the Free plan to test a research agent before committing.

Governance for research you'll act on

If a briefing feeds a real decision, you need to trust the process, not just the output. AgentWorks keeps an immutable, append-only audit trail of every agent run, exportable as CSV or JSON — so you can show exactly which sources fed a given conclusion and when. Data stays in the EU, with EU model endpoints where offered.

The platform is built to be EU AI Act-ready: each agent carries a risk classification, and state-changing actions require human-in-the-loop approval. Whether a specific use case is high-risk depends on what you do with it — the platform gives you the controls, per-agent risk classification and audit trail to meet the obligations that apply. A DPA is available on request. More on the approach is on the compliance page.

Summary: AI agents for market research turn a manual, one-off task into a cited, repeatable, scheduled stream. AgentWorks lets you configure a research agent, ground it in web search plus your own knowledge base, run it weekly (Pro+), and deliver the cited briefing straight to Slack or email — with a full audit trail and transparent, at-cost pricing behind it.

Frequently asked questions

Can I get market research briefings delivered to Slack automatically?

Yes. Connect Slack (or Microsoft Teams, Gmail and other integrations) and schedule a research agent to run daily, weekly or monthly on the Pro plan or above. The cited briefing is posted to your chosen channel or inbox on each run, with no manual step.

How do I know the research is accurate and not made up?

Every AgentWorks agent grounds its answers in cited sources — live web search and your own uploaded knowledge base — so you can click through and verify each claim. When the answer isn't in the available material, the agent says "I don't know" instead of inventing a figure, and every run is logged in an exportable audit trail.

Do I need a paid plan to try a research agent?

You can explore the 50+ pre-built agents and run cited research on the Free plan, which includes a €5 one-time credit. Scheduled agents, the visual workflow builder and custom agents start on the Pro plan at €39/month, which includes a €10 monthly balance.