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Analyze competitor reviews with NextBrowser

Research competitor feedback through NextBrowser, preserve source evidence and reconcile the dataset before drawing competitive conclusions.

About this reference video

The video shows the source task and its recorded outcome. The guide below explains how to run that task through NextBrowser: choose a profile and browser toolset, start a session, then supervise your local agent in Chat and Live View. Interface labels and results can differ from the recording.

Go to the NextBrowser workflow ↓
Published · @next_ossaiWatch on YouTube ↗

Overview

Competitive review research needs attributable opinions, not just a polished dashboard. Run the collection in a NextBrowser research profile, preserve sources and reconcile per-brand totals before interpreting themes. A source with no useful results should remain in the coverage log rather than disappearing from the analysis.

What happens in the video

The agent researches DuoPlus and GeeLark through G2, Reddit, and Google, then displays an opinions spreadsheet and comparison dashboard. It reports 126 opinions against a target of 300 and says Trustpilot and Product Hunt returned no useful material. The dashboard shows 26 DuoPlus and 101 GeeLark opinions, so the visible totals need reconciliation before reuse.

Before you start

  • NextBrowser on macOS or Windows, signed in through browser pairing
  • An installed and authenticated local agent: Claude Code or Codex from the ChatGPT desktop app
  • Competitor names, disambiguation rules, target sources and a common opinion schema

Run this in NextBrowser

Follow these steps in your own NextBrowser workspace. The video summary records the source demonstration; your result needs the checks below.

  1. Prepare the NextBrowser session

    Use a dedicated research profile and check which sources are accessible before collecting. Keep one source log across the run so failed searches cannot silently disappear from the report.

  2. Give the local agent a scoped task

    Select your local agent in NextBrowser. Confirm the active profile and tab for G2, Reddit and search results for the competitors. Submit the prompt below in Chat after replacing its placeholders. The selected profile name is guidance for the agent; check the actual session in the sidebar and Live View.

  3. Collect the task evidence

    Ask the agent to collect attributable opinions with brand, URL, date, excerpt, theme and sentiment rationale. Separate review text from your interpretation, exclude unrelated products and deduplicate cross-posted opinions.

  4. Review the result against the browser

    Reconcile per-brand totals against unique dataset rows before accepting any dashboard. In the recording, the total of 126 differs from the displayed brand subtotals of 26 and 101; your report must expose or resolve such discrepancies.

Send this prompt in NextBrowser Chat

Suggested prompt

Use the intended NextBrowser profile [profile name]. First confirm the running session, active tab and target site; stop if they do not match. Compare public customer feedback about [competitors] from [sources]. Preserve URLs, group recurring strengths and complaints, and compare sentiment. Separate observed evidence from inferred risks and recommendations. Report source URLs, the actual amount collected and any incomplete checks. Keep this run to research; do not purchase, publish or change account settings.

Replace the placeholders, then send this in NextBrowser Chat with the intended profile and agent selected. This is a suggested task, not the recording transcript.

What to verify in your run

  • A source-linked opinion dataset with an auditable deduplication rule
  • A competitor comparison whose totals reconcile and whose conclusions distinguish evidence from interpretation

Questions about this workflow

Does this prove market-wide sentiment?

No. Reviews reflect the collected sources and participants. State coverage and preserve conflicting feedback.

Why retain original sources?

They make it possible to distinguish a recurring issue from a single anecdote and inspect its context.

Keep exploring

NextBrowser documentation

NextBrowser documentation ↗Product guide: profiles, agents and sessions ↗

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