Nextbrowser
Download
Use cases1:31 watch

Audit AI search visibility with NextBrowser

Run a consistent set of buyer questions through AI search services from NextBrowser and compare brand mentions, competitors and cited sources.

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

AI answers vary with the question, service, mode and time of collection. A useful visibility audit preserves those inputs alongside the answers. NextBrowser provides the browser sessions and agent workspace for collecting comparable observations; the spreadsheet methodology determines what the resulting mention metric means.

What happens in the video

The task compares DuoPlus across five buyer questions and four AI services: ChatGPT, Perplexity, DeepSeek, and Copilot. The recording shows browser research followed by a workbook and dashboard with 20 comparison cells and proposed actions. The results describe this recorded run.

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
  • A brand, a fixed set of buyer questions and access to the services you plan to test

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

    Choose the profile with the intended service accounts and sign in yourself where required. Confirm each service and conversation in Live View; record the model or search mode when shown.

  2. Give the local agent a scoped task

    Select your local agent in NextBrowser. Confirm the active profile and tab for ChatGPT, Perplexity, DeepSeek and Microsoft Copilot. 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

    Send the same questions without adding the target brand unless the experiment calls for it. Ask the agent to preserve exact prompts, answer excerpts, mention order, competitors and citation URLs, one row per question and service.

  4. Review the result against the browser

    Open the captured answers in the browser and check the spreadsheet against them. Define the denominator before calculating mention share; mark blocked or unanswered cells separately instead of counting them as negative mentions.

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 [brand] in ChatGPT, Perplexity, DeepSeek, and Microsoft Copilot answers to [questions]. Record exact prompts, mentions, position, sentiment, competitors, and citations. Define the mention metric and report observed gaps. 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 dated service-by-question matrix with source evidence and access limitations
  • A comparison of observed mentions and citations for this run, with recommendations separated from measurements

Questions about this workflow

Is this a traditional ranking report?

No. It measures observed brand presence in generated answers, including mentions and citations.

Can one run show improvement?

Repeated comparable runs are needed. Keep questions and methodology consistent when measuring change.

Keep exploring

NextBrowser documentation

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

From the blog

What Is an AI Browser? Types, Tools and How to Choose ↗

Understand how AI browsers support answer research.

Related use cases

LLM Optimization ↗

NextBrowser workflow adapted . Recording reviewed . Video source: published video and description.

More workflows to explore

← Browse all demos