can ai do market research as well as an analyst

It does the visiting and extraction across all 25 vendors with citations and honest unverified flags, which is a week of desk work compressed into a day. The judgment about what the grid means stays with the person presenting it.

how is an agentic browser different from perplexity for research

A companion goes to each vendor’s live pages, including the ones behind a login, extracts what is true today, and files it into your grid with the URL on every cell. An answer engine summarises the indexed web about a topic instead.

how do I keep market research from going stale

Date every cell and schedule the refresh: a monthly routine re-reading the same sources and flagging what changed turns a snapshot into a living document. The agentic work index tracks the same pattern.

260 of 300 cells filled, each with the URL it came from

A companion visits all 25 vendors, reads their sites, pricing pages, docs and changelogs, and fills your grid with citations. The 40 it cannot verify say so.

Real market research is a grid: vendors down the side, pricing model and segment and features and funding across the top, every cell filled from primary sources rather than a rival’s comparison page.

The traditional price is a week of analyst time, and the first thing cut under deadline is source quality. A companion visits every vendor and cites every cell.

Which cells does an answer engine leave empty?

The hard ones.

What a vendor’s pricing actually is behind the "talk to sales" button, which features are shipping rather than announced, what their docs reveal about who they build for.

A companion goes to the pages and reads what is true there this week, then puts the URL on the cell. Similarweb estimates digital footprint, Crunchbase covers funding and headcount, and answer engines summarise the indexed web, as of this writing.

Three hundred cells, each with a source

You hand a companion the grid definition and it does the visiting. Per vendor it reads the site, pricing page, docs and changelog, pulls funding through the native Crunchbase integration, checks review sites in your session, and fills each cell with a URL and the line it relied on.

The grid lands in Google Sheets with a drafted memo you rewrite. Generalist version: web research. Recurring version: market research on a schedule, refreshed monthly so the grid stops rotting the day it ships.

Honest numbers from a 25-vendor grid

A 25-vendor grid, 12 attributes: 260 of 300 cells filled with citations, 40 marked unverified, mostly enterprise pricing and unannounced roadmap.

Analyst time went from an estimated week to roughly a day: defining the grid, spot-checking 30 cells with two corrections, chasing 6 unverified cells through calls, and writing the memo. The consultant shipped with a sources tab, and due-diligence questions took minutes.

What is left for the analyst to do?

Time for the primary research: the interviews, the surveys, the expert calls. A companion clears the desk work under them and fetches the inputs for the TAM arithmetic. Every grid carries the date it was built and a schedule for its refresh, and what it means belongs to the analyst whose name is on it.

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Frequently asked questions

Hand over the desk layer: enumeration, firmographics, and grid-filling by a companion that reads each vendor’s primary sources and cites every cell. Keep the question definition, the spot-check and the memo.

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