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Outside · Answer Monitor

See how the machine answers about your brand.

Answer Monitor is the outside half of the only platform that pre-checks the content you approve inside and monitors how AI answers about your brand outside, and joins them. It tracks ChatGPT, Gemini and Perplexity on the questions HCPs ask, measures Share of Answer, flags off-label drift and missing claims, and traces each finding back to the label.

One question, three machines, three different answers. Juncture scores each against the same label that cleared your content inside, so on-label, missing and off-label are no longer a matter of opinion.

01/Outside · what it does

Four ways to hold the answer to the label.

Answer Monitor is the outside half of Juncture. It watches what the machine says, measures it against the label, and shows you how to close the gap.

Coverage

Watch the models HCPs actually use

Answer Monitor asks the questions HCPs and patients type into ChatGPT, Gemini and Perplexity, on a schedule, and reads back exactly how each one answers about your brand.

  • ChatGPT, Gemini and Perplexity
  • The questions that matter to your brand
  • Run on a cadence you set

Share of Answer

Know whose content the machine cites

For every question, see which sources the model reaches for when it answers, and how much of that share is your approved content versus everyone else.

  • Approved-content share, per question
  • Where third parties win the answer
  • Trended over time

Drift

Catch off-label and missing claims

Each answer is scored against the label. Answer Monitor flags off-label drift and required claims the machine left out, and ties every finding back to the clause.

  • Off-label drift, by model
  • Missing required-claim alerts
  • Each finding sourced to a clause

Close the gap

Fill the gap with approved content

A gap is only useful if you can close it. Answer Monitor shows which approved content would correct the answer, so the next check moves back toward the label.

  • The content that would close the gap
  • Prioritised by impact
  • Re-checked after you publish

02/Outside · the views

Your Share of Answer, and what the machine got wrong.

Two illustrated views from the platform. One grows the share of every answer that is yours. The other queues the drift to close, each alert traced to the clause it breaks and the approved content that fixes it.

Share of Answer for the fictional brand Varigel, engine by engine, with the trend and the sources the machine reaches for. Illustrative numbers only.
The week’s off-label drift and missing-claim alerts, each tied to a label clause and the approved module that would close the gap. The gap outside tells you what to approve inside.

03/Share and drift

Measure your Share of Answer. Watch the drift close.

Two numbers tell the story outside: how often the machine reaches for your approved content, and how far its answer sits from the label over time.

Share of Answer

On 1 question

When the machine answers, which sources does it cite? The teal bar is your approved content. The goal is to grow it.

  • Your approved content38%
  • Third-party medical sites27%
  • Forums and Q&A19%
  • Unattributed / unknown16%

Drift from the label

Closing

How far the answer sat from the label, check by check. The gap narrows after approved content fills it.

Off-labelApproved content publishedOn-label

04/The loop

From a gap outside to approved content that closes it.

The outside half feeds the inside half. What the machine gets wrong tells you what to approve next.

  1. 01

    Ask the question

    Juncture asks the questions HCPs use across the models, on your schedule.

  2. 02

    Score against the label

    Each answer is read against the label. Drift and missing claims are flagged.

  3. 03

    Trace to the clause

    Every finding is sourced to the clause it breaks, so the gap is specific.

  4. 04

    Close with approved content

    Publish the approved content that fills the gap, then re-check the answer.

Answer Monitor · questions

Questions about Answer Monitor.

Plain answers to what teams ask about watching the machine's answer.

See it on your brand

See how the machine answers about your brand today.

Name a brand and a handful of questions. We will run them across the models and show you the answers, the Share of Answer, and where the drift is.