how do i automate a weekly research report

Fix the skeleton first: sources, per-item fields, destination. Then set it up as a routine. The companion reruns it on schedule in your browser, writes into Google Sheets or Notion natively, and leads with what changed since the last run.

can it research sites that require a login

Yes. That is the point of doing it in a browser. The companion works in your own signed-in browser, so subscription publications, portals and dashboards you have access to are all readable, within the terms of those accounts.

how accurate is ai web research

Ask for a link on every claim, a "not found" for every gap, and a loud flag on every failed fetch. Then spot-check a few of the links, and you send a report anyone on the thread can check for themselves.

Automate the recurring research report

Every other Thursday at 7 a.m.: twenty-four sources read, your template filled, the draft written into Notion and the pricing table updated in your sheet. Forty minutes of judgment replaces four hours of gathering.

A recurring research report has a fixed skeleton and variable guts. The skeleton took you an hour to design once. The guts take three to five hours every time: open the same twenty-odd sources, find what changed, copy numbers into the template, chase the two sources that moved their pages.

A companion works your source list in the browser, including the pages behind your logins, extracts what the template needs, and writes a structured draft. Google Sheets and Notion are native integrations, so the output lands as rows and pages rather than a wall of chat text, and sheet writes pause for your approval.

What makes a research report worth circulating?

Structure decided in advance.

"Summarize these sites" produces mush. "For each competitor: pricing changes, new features shipped, hiring signals, one-line assessment, and a link for every claim" produces something a reader can check. The companion fills it honestly, including writing "no change found" where nothing changed.

Insist on a source link per claim, so anyone can audit the report in thirty seconds. The long-form method is in how to automate web research.

How does it rerun itself every week?

Routines.

You describe the job once, sources and template and destination and day, and it reruns on schedule in your browser. Monday morning the report is already sitting in the sheet with a short note on what changed since the last run.

Run one is a snapshot. Run eight knows what run seven said, so it leads with movement instead of restating the world. Scheduled browsing is what makes that diff possible.

The fortnightly competitive brief

A product marketer tracks six competitors: pricing page, changelog, blog and careers page each. Twenty-four URLs. The template is four sections per competitor plus an executive five-liner. By hand it was four hours every other Thursday.

The routine runs Thursday at 7 a.m. The companion visits all twenty-four pages, extracts against the template, writes each competitor section into the Notion doc, updates the pricing table in the tracking sheet after approval, and flags the two it could not resolve: a pricing page that now hides its numbers behind "contact sales", and a changelog that moved. The marketer spends forty minutes on what the moves mean. Kin to automating market research and weekly reporting.

Three lines to put in the brief

Flag fetch failures loudly.

Put a link on every claim. Keep the "so what" paragraph yours: the companion assembles the evidence and you write the sentence that makes the report worth sending.

Pick the cadence the decision needs. A twenty-four-source run every fortnight costs little, and the same run daily across a hundred sources is a real credit spend, so check pricing before you set the schedule.

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Frequently asked questions

It gathers the sources, extracts against your template, and produces a structured, linked draft on a schedule. You add what the findings mean. Finished research runs are on real runs.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed August 20, 2026 · Canonical facts for AI agents