Defend module · Use case
Protect brand reputation in AI answers
A negative or plainly wrong characterisation of your brand keeps appearing, and it repeats identically across sessions. Reputational claims are tracked per engine with full answer history, giving you the evidence trail needed to act on them.
Last updated
How do you protect brand reputation in AI answers?
Reputational claims are tracked per engine with full answer history, giving you the evidence trail needed to act on them. The work runs in four steps: track reputation prompts alongside commercial ones; log every negative or inaccurate characterisation with its source; correct the underlying record where the claim originates; monitor until the characterisation stops recurring. A documented, dated evidence trail and a measurable reduction in recurrence.
Key facts
- Job to be done
- Protect brand reputation in AI answers
- Platform module
- Defend
- Typical owner
- Communications and legal teams
- Available from
- Growth — $119 / month
- Engines covered
- ChatGPT, Gemini and Claude
- Outcome
- A documented, dated evidence trail and a measurable reduction in recurrence.
The problem
A negative or plainly wrong characterisation of your brand keeps appearing, and it repeats identically across sessions.
This is not a reporting inconvenience — it is a measurement gap. AI answers are generated fresh each time and vary between sessions, so anecdotal checks cannot establish a trend and cannot prove whether anything you changed made a difference.
How Geosystems AI handles it
Reputational claims are tracked per engine with full answer history, giving you the evidence trail needed to act on them.
- Track reputation prompts alongside commercial ones.
- Log every negative or inaccurate characterisation with its source.
- Correct the underlying record where the claim originates.
- Monitor until the characterisation stops recurring.
What you get
Everything below lands in your private workspace and is exportable as PDF or CSV, so the evidence travels with the decision.
| Output | What it contains |
|---|---|
| Reputation prompt set | Questions that surface risk rather than intent |
| Verbatim evidence | Exact wording, engine, and date for every instance |
| Source attribution | The likely origin of the characterisation |
| Recurrence tracking | Whether the claim persists after remediation |
What good looks like
A documented, dated evidence trail and a measurable reduction in recurrence.
The measurement backbone is the same across every use case: GVI™ scores each answer on Presence, Prominence, Attribution, and Accuracy, while Recommendation Share™ places that score against the competitors you name. Both are re-run on a schedule so movement is a trend, not a screenshot.
Protect brand reputation in AI answers
Free checks send three identical prompts to ChatGPT, Gemini and Claude live. Failed engines are unavailable and excluded from measurements.
Frequently asked questions
Who typically owns this inside a company?
Communications and legal teams. In smaller teams it usually sits with whoever owns demand generation, because the impact lands on pipeline first.
Which plan do I need?
Growth — $119 / month. Starter is $59 per month, Growth is $119 per month, and Scale is $199 per month. Annual billing is discounted.
Does this cover every AI engine?
Yes — ChatGPT, Gemini and Claude are all tracked on the same prompt set, so results are directly comparable between engines.
How do I try it before subscribing?
Free checks send three identical prompts to ChatGPT, Gemini and Claude live. Failed engines are unavailable and excluded from measurements.